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Energies, Volume 10, Issue 8 (August 2017) – 171 articles

Cover Story (view full-size image): For a long time, the development of electric vehicles has run up against electrical storage limitations. However, thanks to technological progress in lithium cell large-scale manufacturing, electric vehicles have become a reality. Nevertheless, lithium battery technology is not yet sufficiently safe and the effective estimation of battery SoC and SoH remains a key issue. One of the current major scientific challenges (particularly for electrical aircraft) is to predict how long the storage system will be able to provide power for the ongoing mission, taking the previous vehicle use into account. View Paper here
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10657 KiB  
Article
Feasibility Study of a Heating, Cooling and Domestic Hot Water System Combining a Photovoltaic-Thermal System and a Ground Source Heat Pump
by Yong-Dae Jeong, Min Gyung Yu and Yujin Nam
Energies 2017, 10(8), 1243; https://doi.org/10.3390/en10081243 - 21 Aug 2017
Cited by 24 | Viewed by 6539
Abstract
Renewable energy systems have received a lot of attention as sustainable technology in building sector. However, the efficiency of the renewable energy systems depends on the surrounding conditions, and it could gradually decrease by excessive and long-term operation. As a solution, a hybrid [...] Read more.
Renewable energy systems have received a lot of attention as sustainable technology in building sector. However, the efficiency of the renewable energy systems depends on the surrounding conditions, and it could gradually decrease by excessive and long-term operation. As a solution, a hybrid system can increase the reliability of energy production and decrease investment costs through by reducing the system capacity. The hybrid system operates at the ideal performance, but the design and operation method for hybrid system have not been established. In this paper, the performance of the hybrid system combined with photovoltaic/thermal (PVT) system and ground source heat pump (GSHP) system was analyzed using TRNSYS 17 and feasibility was assessed. The energy consumption and performance efficiency of hybrid system were calculated according to operating modes. Furthermore, seasonal performance factor (SPF) of hybrid system was compared with that of conventional GSHP system. System performance was analyzed in various conditions such as the usage of storage tank heating and set temperature for solar heating. As a result, the average SPF of the developed system increased about 55.3% compared with the GSHP system. Full article
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Figure 1
<p>System concept of Geo- photovoltaic/thermal system.</p>
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<p>Operation modes of Geo-PVT system.</p>
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<p>Control algorithm of Geo-PVT system in simulation.</p>
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<p>Simulation modelling of Geo-PVT system.</p>
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<p>Efficiency of PV cell as a function of the cell temperature at a 350 W/m<sup>2</sup> radiation.</p>
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<p>Heating catalog data of heat pump.</p>
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<p>Cooling catalog data of heat pump.</p>
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<p>Calculation method of SPF.</p>
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<p>The building model for simulation.</p>
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<p>Weather data in Seoul.</p>
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<p>The peak load of heating season.</p>
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<p>The peak load of cooling season.</p>
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<p>The supply pattern of daily DHW.</p>
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<p>Scheme of the PVT performance experiment.</p>
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<p>Conceptional design of GSHP system and Geo-PVT system.</p>
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<p>Ambient temperature and solar radiation in January.</p>
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<p>The heat production of the GSHP system during the representing 3-day period.</p>
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<p>The heat production of the Geo-PVT system during the representing 3-day period.</p>
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<p>The electric energy of the Geo-PVT system in representing day.</p>
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<p>The electric energy of the GSHP system in representing day.</p>
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<p>The result of SPF during daytime operation in heating season. (<b>a</b>) Heat pump; (<b>b</b>) system.</p>
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<p>The result of SPF during night time operation in heating season. (<b>a</b>) Heat pump; (<b>b</b>) system.</p>
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<p>The result of SPF during 24 h operation in heating season. (<b>a</b>) Heat pump; (<b>b</b>) system.</p>
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<p>The result of SPF during daytime operation in cooling season. (<b>a</b>) Heat pump; (<b>b</b>) system.</p>
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<p>The result of SPF during night time operation in cooling season. (<b>a</b>) Heat pump; (<b>b</b>) system.</p>
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<p>The result of SPF during 24 h operation in cooling season. (<b>a</b>) Heat pump; (<b>b</b>) system.</p>
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<p>System diagram of comparison considering storage tank heating.</p>
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<p>The SPF considering storage tank heating during daytime operation. (<b>a</b>) Heat pump; (<b>b</b>) total system.</p>
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<p>The SPF considering storage tank heating during night time operation. (<b>a</b>) Heat pump; (<b>b</b>) total system.</p>
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<p>The SPF considering storage tank heating during 24 h operation. (<b>a</b>) Heat pump; (<b>b</b>) total system.</p>
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<p>Heat production in PVT module (<b>a</b>) for building heating (<b>b</b>) for heat storage according to Change of solar heating temperature.</p>
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<p>The SPF of PVT according to the set-point temperature of PVT. (<b>a</b>) For building heating; (<b>b</b>) for heat storage.</p>
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<p>The SPF of total system according to the set-point temperature of PVT. (<b>a</b>) PVT; (<b>b</b>) total systems.</p>
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<p>Conceptional designs considering connection method of PVT module. (<b>a</b>) Heat production to underground heat storage; (<b>b</b>) to hot water; (<b>c</b>) to space heating.</p>
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<p>(<b>a</b>) Heat production; (<b>b</b>) electricity production of PVT system.</p>
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<p>The result of SPF considering change method of using solar heat. (<b>a</b>) PVT; (<b>b</b>) total systems.</p>
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<p>Heat production of PVT system considering change method of using solar heat. (<b>a</b>) 99 m<sup>2</sup> building area; (<b>b</b>) 165 m<sup>2</sup> building area; (<b>c</b>) 231 m<sup>2</sup> building area.</p>
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<p>Power consumption and production of system in 99 m<sup>2</sup>. (<b>a</b>) GSHP; (<b>b</b>) Geo-PVT.</p>
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<p>Power consumption and production of system in 165 m<sup>2</sup>. (<b>a</b>) GSHP; (<b>b</b>) Geo-PVT.</p>
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<p>Power consumption and production of system in 231 m<sup>2</sup>. (<b>a</b>) GSHP; (<b>b</b>) Geo-PVT.</p>
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<p>The result of life cycle cost.</p>
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4535 KiB  
Article
Modelling and Control of Parallel-Connected Transformerless Inverters for Large Photovoltaic Farms
by Marian Liberos, Raúl González-Medina, Gabriel Garcerá and Emilio Figueres
Energies 2017, 10(8), 1242; https://doi.org/10.3390/en10081242 - 21 Aug 2017
Cited by 7 | Viewed by 4772
Abstract
This paper presents a control structure for transformerless photovoltaic inverters connected in parallel to manage photovoltaic fields in the MW range. Large photovoltaic farms are usually divided into several photovoltaic fields, each one of them managed by a centralized high power inverter. The [...] Read more.
This paper presents a control structure for transformerless photovoltaic inverters connected in parallel to manage photovoltaic fields in the MW range. Large photovoltaic farms are usually divided into several photovoltaic fields, each one of them managed by a centralized high power inverter. The current tendency to build up centralized inverters in the MW range is the use of several transformerless inverters connected in parallel, a topology that provokes the appearance of significant zero-sequence circulating currents among inverters. To eliminate this inconvenience, this paper proposes a control structure that avoids the appearance of circulating currents by controlling the zero-sequence component of the inverters. A second contribution of the paper is the development of a model of n parallel-connected inverters. To validate the concept, the proposed control structure has been applied to a photovoltaic field of 2 MW managed by four 500 kW photovoltaic inverters connected in parallel. Full article
(This article belongs to the Special Issue Control and Communication in Distributed Generation Systems)
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<p>Topologies of high power PV inverters: (<b>a</b>) decentralized inverters; (<b>b</b>) centralized inverter; (<b>c</b>) centralized inverter composed by <span class="html-italic">n</span> parallel modules and a multi-output transformer; (<b>d</b>) centralized inverter composed by <span class="html-italic">n</span> parallel modules and n transformers; (<b>e</b>) centralized inverter composed by <span class="html-italic">n</span> modules and a single transformer; (<b>f</b>) centralized inverter composed by <span class="html-italic">n</span> transformerless modules.</p>
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<p>Efficiency of the Power Gate Plus 500 kW from Satcon with (in red) and without transformer (in green).</p>
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<p>Efficiency of a single inverter (red) vs several parallel-connected inverters (blue).</p>
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<p>Scheme of <span class="html-italic">n</span> PV transformerless inverters connected in parallel with LCL grid filters.</p>
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<p>Averaged equivalent circuit of an inverter leg: (<b>a</b>) Inverter leg; (<b>b</b>) Switching time and relationship among input and output variables; (<b>c</b>) Averaged equivalent circuit.</p>
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<p>Averaged equivalent circuit of <span class="html-italic">n</span> PV transformerless inverters connected in parallel.</p>
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<p>Schematic of the proposed Control Stage.</p>
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<p>(<b>a</b>) Spatial distribution of the commutation vectors; (<b>b</b>) Spatial distribution of the tetrahedrons.</p>
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<p>Line diagram of the 2 MW centralized PV inverter under study.</p>
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<p>MATLAB<sup>TM</sup> script. Definition of the state-space model.</p>
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<p>MATLAB<sup>TM</sup> script. Current and voltage control loop gains.</p>
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<p>MATLAB<sup>TM</sup> scheme of interconnection.</p>
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<p>Control loops: (<b>a</b>) Current control loop gain in <span class="html-italic">d</span>-channel; (<b>b</b>) Current control loop gain in <span class="html-italic">q</span>-channel; (<b>c</b>) Current control loop gain in o-channel; (<b>d</b>) Voltage control loop gain.</p>
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<p>Activation sequence of the inverters without zero-sequence control: (<b>a</b>) Generated PV power; (<b>b</b>) Current grid in the phase A of each inverter; (<b>c</b>) Zero-sequence current of each inverter.</p>
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<p>Activation sequence of the inverters with zero-sequence control: (<b>a</b>) Generated PV power; (<b>b</b>) Grid current in the phase A of each inverter; (<b>c</b>) Zero-sequence current of each inverter.</p>
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<p>Activation of the zero-sequence control without current limitation: (<b>a</b>) Generated PV power; (<b>b</b>) Grid current in the phase A of each inverter; (<b>c</b>) Zero-sequence current or circulating current of each inverter.</p>
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<p>Activation of the zero-sequence control with current limitation: (<b>a</b>) Generated PV power (<b>b</b>) Grid current in the phase A of each inverter; (<b>c</b>) Zero-sequence current or circulating current of each inverter.</p>
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3115 KiB  
Article
Simulation Study on the Effect of Fracturing Technology on the Production Efficiency of Natural Gas Hydrate
by Chen Chen, Lin Yang, Rui Jia, Youhong Sun, Wei Guo, Yong Chen and Xitong Li
Energies 2017, 10(8), 1241; https://doi.org/10.3390/en10081241 - 21 Aug 2017
Cited by 84 | Viewed by 5337
Abstract
Natural gas hydrate (NGH) concentrations hold large reserves of relatively pure unconventional natural gases, consisting mainly of methane. Depressurization is emerging as the optimum conversion technology for converting NGH in its reservoir to its constituent water and natural gas. NGH concentrations commonly have [...] Read more.
Natural gas hydrate (NGH) concentrations hold large reserves of relatively pure unconventional natural gases, consisting mainly of methane. Depressurization is emerging as the optimum conversion technology for converting NGH in its reservoir to its constituent water and natural gas. NGH concentrations commonly have a pore fill of over 80%, which means that NGH is a low-permeability reservoir, as NGH has displaced water in terms of porosity. Fracturing technology (fracking) is a technology employed for increasing permeability-dependent production, and has been proven in conventional and tight oil and gas reservoirs. In this work, we carried out numerical simulations to investigate the effects on depressurization efficiency of a variably-fractured NGH reservoir, to make a first order assessment of fracking efficiency. We performed calculations for the variations in original NGH saturation, pressure distribution, CH4 gas production rate, and cumulative production under different fracturing conditions. Our results show that the rate of the pressure drop within the NGH-saturated host strata increases with increased fracturing. The CH4 gas production rate and cumulative production are greatly improved with fracturing. Crack quantity and spacing per volume have a significant effect on the improvement of NGH conversion efficiencies. Possibly most important, we identified an optimum fracking value beyond which further fracking is not required. Full article
(This article belongs to the Section L: Energy Sources)
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<p>Location of the research area and drilling sites in the Shenhu area, north slope of the South China Sea.</p>
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<p>Vertical versus horizontal fracture stimulation.</p>
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<p>Production well design and schematic of the marine hydrate deposit at the SH7 site.</p>
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<p>Fracturing cracks diagram.</p>
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<p>(<b>A</b>) Hydrate distribution at one month; (<b>B</b>) Hydrate distribution at one year.</p>
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<p>(<b>A</b>) Hydrate distribution at one month; (<b>B</b>) Hydrate distribution at one year.</p>
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<p>(<b>A</b>) Pressure distribution at one month; (<b>B</b>) Hydrate distribution at one year.</p>
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<p>Production rate and cumulative volume of CH<sub>4</sub>.</p>
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<p>The production rate and the cumulative volume curve of CH<sub>4</sub> in the gas hydrate layer with three cracks under different crack spacings (Δl = 1 m, 2 m, 3 m, 5 m) were exploited by 5 MPa in five years.</p>
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<p>The hydrate distribution in the gas hydrate layer with three cracks under different crack spacings (Δl = 1 m, 2 m, 3 m, 5 m) exploited by 5 MPa. (<b>A</b>) Hydrate distribution at one year; (<b>B</b>) Hydrate distribution at five years.</p>
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8054 KiB  
Article
Energy Performance Assessment of a 2nd-Generation Vacuum Double Glazing Depending on Vacuum Layer Position and Building Type in South Korea
by Seung-Chul Kim, Jong-Ho Yoon and Ru-Da Lee
Energies 2017, 10(8), 1240; https://doi.org/10.3390/en10081240 - 21 Aug 2017
Cited by 5 | Viewed by 4240
Abstract
(1) Background: The application of high insulation to a building envelope helps reduce the heating load, but increases the cooling load. Evaluating the installation of high insulation glazing to buildings in climate zones with four distinct seasons, as in the case of South [...] Read more.
(1) Background: The application of high insulation to a building envelope helps reduce the heating load, but increases the cooling load. Evaluating the installation of high insulation glazing to buildings in climate zones with four distinct seasons, as in the case of South Korea, is very important; (2) Methods: This study compared the heating energy performance of four types of glazing, inside vacuum double glazing, outside vacuum double glazing, single vacuum glazing, and low-e double glazing, with fixed low-e coating positions on the inside of the room in a mock-up chamber under the same conditions. The annual energy consumption according to the building type was analyzed using a simulation; (3) Results: As the insulation performance of building envelopes has increased, the energy saving rate of inside vacuum double glazing has been increased further in office buildings. In residential buildings, the energy saving rate of inside vacuum double glazing with a low SHGC (solar heat gain coefficient) has become higher than that of outside vacuum double glazing; (4) Conclusions: Since the effects of SHGC on the energy saving rates are greater in high insulation buildings, SHGC should be considered carefully when selecting glazing in climate zones with distinct winter and summer seasons. Full article
(This article belongs to the Special Issue Zero-Carbon Buildings)
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<p>Technical framework of this study.</p>
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<p>Front view of mock-up test cells.</p>
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<p>Floor plan of full scale mock-up test facility.</p>
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<p>Measured temperature profiles with the SVG and LEG (8–9 April 2017).</p>
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<p>Temperature distribution and energy consumption of the SVG and LEG (1–2 April 2017).</p>
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<p>Measured temperature profiles with the IVG and OVG (6–7 April 2017).</p>
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<p>Temperature distribution and energy consumption of the IVG and OVG (4–5 April 2017).</p>
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<p>Simulation model of mock-up with the building performance simulation tool, EnergyPlus.</p>
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<p>Simulation model of office building.</p>
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<p>Simulation model of residential building.</p>
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<p>Calculated heating energy consumption of the SVG and LEG.</p>
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<p>Calculated heating energy consumption of the IVG and OVG.</p>
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<p>Comparison of standard deviation of heating energy saving rate and experiment results.</p>
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<p>Calculated cooling and heating energy consumption of office buildings.</p>
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<p>Calculated cooling and heating energy consumption of residential building.</p>
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<p>Changes in energy consumption due to insulation enhancement in office buildings.</p>
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<p>Changes in energy consumption due to insulation enhancement in residential buildings.</p>
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2669 KiB  
Article
A Novel FPGA-Based Real-Time Simulator for Micro-Grids
by Bingda Zhang, Shaowen Fu, Zhao Jin and Ruizhao Hu
Energies 2017, 10(8), 1239; https://doi.org/10.3390/en10081239 - 21 Aug 2017
Cited by 15 | Viewed by 4320
Abstract
To meet the requirements of micro-grid real-time simulation, a novel real-time simulator for micro-grids based on Field-Programmable Gate Array (FPGA) and orders (FO-RTDS) is designed. We describe the design idea of the real-time solver and the order generator. Multi-valued parameter prestorage and multi-rate [...] Read more.
To meet the requirements of micro-grid real-time simulation, a novel real-time simulator for micro-grids based on Field-Programmable Gate Array (FPGA) and orders (FO-RTDS) is designed. We describe the design idea of the real-time solver and the order generator. Multi-valued parameter prestorage and multi-rate simulation are introduced to reduce the computational pressure. The data scheduling is carried out following the principle of saving the resources and the minimizing the average distance between variables. An example is performed on XC7VX690T-2FFG1761 chip, which proves the novel FO-RTDS method greatly improves the scale of real-time simulation of micro-grids. Full article
(This article belongs to the Section F: Electrical Engineering)
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<p>The overall structure of the real-time solver.</p>
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<p>The overall structure of the microprocessor core.</p>
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<p>7-module 3-level series arithmetic expressions circuit.</p>
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<p>Three-phase full-bridge inverting circuit.</p>
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<p>The mapping circuit converting the guide word address to the current value address.</p>
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<p>DAG describing the task with the buffer queue length.</p>
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<p>The low-voltage micro-grid example.</p>
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<p>The three-phase voltage waveform of node 8.</p>
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<p>The three-phase output voltage waveform of node 37.</p>
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<p>The A phase output current waveform of node 30.</p>
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<p>The inverter DC voltage waveform of node 32.</p>
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25716 KiB  
Article
Noise Sources, Effects and Countermeasures in Narrowband Power-Line Communications Networks: A Practical Approach
by Gregorio López, José Ignacio Moreno, Eutimio Sánchez, Cristina Martínez and Fernando Martín
Energies 2017, 10(8), 1238; https://doi.org/10.3390/en10081238 - 21 Aug 2017
Cited by 27 | Viewed by 8569
Abstract
The integration of Distributed Generation, Electric Vehicles, and storage without compromising the quality of the power delivery requires the deployment of a communications overlay that allows monitoring and controlling low voltage networks in almost real time. Power Line Communications are gaining momentum for [...] Read more.
The integration of Distributed Generation, Electric Vehicles, and storage without compromising the quality of the power delivery requires the deployment of a communications overlay that allows monitoring and controlling low voltage networks in almost real time. Power Line Communications are gaining momentum for this purpose since they present a great trade-off between economic and technical features. However, the power lines also represent a harsh communications medium which presents different problems such as noise, which is indeed affected by Distributed Generation, Electric Vehicles, and storage. This paper provides a comprehensive overview of the types of noise that affects Narrowband Power Line Communications, including normative noises, noises coming from common electronic devices measured in actual operational power distribution networks, and noises coming from photovoltaic inverters and electric vehicle charging spots measured in a controlled environment. The paper also reviews several techniques to mitigate the effects of noise, paying special attention to passive filtering, as for being one of the most widely used solution to avoid this kind of problems in the field. In addition, the paper presents a set of tests carried out to evaluate the impact of some representative noises on Narrowband Power Line Communications network performance, as well as the effectiveness of different passive filter configurations to mitigate such an impact. In addition, the considered sources of noise can also bring value to further improve PLC communications in the new scenarios of the Smart Grid as an input to theoretical models or simulations. Full article
(This article belongs to the Section F: Electrical Engineering)
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<p>Overview of Advanced Metering Infrastructure (AMI) communications architectures. (<b>a</b>) Monolithic; (<b>b</b>) Hierarchical with two network segments; (<b>c</b>) Hierarchical with three network segments.</p>
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<p>(<b>a</b>) States and transitions of a PRIME Service Node; (<b>b</b>) Tree-wise logical topology of a PRIME network.</p>
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<p>Overview of PRIME (PoweRline Intelligent Metering Evolution) MAC (Medium Access Control) frames.</p>
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<p>Standardized emission limits, values, and Power Quality levels for the frequency range 2–150 kHz [<a href="#B54-energies-10-01238" class="html-bibr">54</a>].</p>
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<p>Compromise compatibility level between 30 and 150 kHz agreed in the IEC /SC 77A/WG8 [<a href="#B58-energies-10-01238" class="html-bibr">58</a>].</p>
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<p>Synthetic noise for EN 50065 limits with frequency peaks every 8 kHz.</p>
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<p>Synthetic noise for EN 50065 limits with frequency peaks every 1.953 kHz.</p>
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<p>Community antenna noise measured in the field (Phase R).</p>
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<p>TV receiver noise measured in the field.</p>
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<p>Water pump noise measured in the field.</p>
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<p>Electronic ballast noise measured in the field.</p>
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<p>Setup and components used for measuring the EV (Electric Vehicle) charging noise at the LINTER (Grid Interoperability Laboratory).</p>
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<p>Noise associated to charging a Renault Twicy.</p>
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<p>Noise associated to charging a Renault Zoe.</p>
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<p>Noise associated to charging a Nissan Leaf.</p>
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<p>Setup and components used for measuring the PV (Photovoltaic) inverter noise at the LINTER (Grid Interoperability Laboratory).</p>
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<p>Noise associated to the inverters.</p>
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<p>Detail of filter installation.</p>
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<p>Electric schematic of the configurable filter.</p>
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<p>Schema and frequency response of Filter F2.</p>
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<p>Schema and frequency response of Filter F4.</p>
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<p>Schema and frequency response of Filter F6.</p>
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<p>Schema and frequency response of Filter F9 (low-pass differential-type filter).</p>
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<p>Components and setup of the synthetic noise injection tests.</p>
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<p>Schema of the procedure followed to synthetically reproduce the noise.</p>
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<p>Components and setup of the EV noise tests.</p>
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<p>Components and setup of the PV panel inverter tests.</p>
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<p>Spectral signal without PRIME communications in test N1.</p>
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<p>Spectral signal with PRIME communications in test N1.</p>
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<p>Spectral signal without PRIME communications in test N2.</p>
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<p>Spectral signal without PRIME communications in test N3.</p>
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<p>Spectral signal without PRIME communications in test N4</p>
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<p>Spectral signal without PRIME communications in test N5.</p>
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<p>Spectral signal without PRIME communications in test N6.</p>
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<p>Spectral signal without PRIME communications in test N7.</p>
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<p>Spectral signal without PRIME communications in test A1.</p>
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<p>Spectral signal without PRIME communications in test A2.</p>
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<p>Spectral signal without PRIME communications in test A3.</p>
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<p>Spectral signal without PRIME communications in test A4.</p>
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<p>Spectral signal without PRIME communications in test A5.</p>
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<p>Spectral signal without PRIME communications in test A6.</p>
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<p>Spectral signal without PRIME communications in test EV1.</p>
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<p>Spectral signal without PRIME communications in test EV2.</p>
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<p>(<b>a</b>) Spectral signal without PRIME communications in test PVI1 (without filter); (<b>b</b>) Spectral signal without PRIME communications in test PVI2 (with filter).</p>
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<p>PRIME Analytics simplified schema.</p>
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<p>Traffic traces analysis for the normative noise tests.</p>
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<p>Traffic traces analysis for the antenna noise tests.</p>
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<p>Traffic traces analysis for the EV noise tests.</p>
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<p>Traffic traces analysis for the PV inverter noise tests.</p>
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6286 KiB  
Article
Extended Kalman Filter-Based State of Charge and State of Power Estimation Algorithm for Unmanned Aerial Vehicle Li-Po Battery Packs
by Sunghun Jung and Heon Jeong
Energies 2017, 10(8), 1237; https://doi.org/10.3390/en10081237 - 21 Aug 2017
Cited by 28 | Viewed by 5005
Abstract
Customer requirements for unmanned aerial vehicles (UAVs) with long flight times are increasing exponentially in the personal, commercial, and military use areas. Due to their limited payload, large numbers of on-board battery packs cannot be used and this is the main reason behind [...] Read more.
Customer requirements for unmanned aerial vehicles (UAVs) with long flight times are increasing exponentially in the personal, commercial, and military use areas. Due to their limited payload, large numbers of on-board battery packs cannot be used and this is the main reason behind the need for battery management software (BMS) packages with state of charge (SOC) estimation functions to increase the flight time. At the same time, as the UAV application range has extended widely, the size of UAVs has increased and heavy-duty UAVs are slowly appearing. As a result, the system operating power of the UAVs has been increased tremendously and their safe system power operation has become an issue. This is the main reason for the need of BMS having state of power (SOP) estimation functions. In this work a 6 S Li-Po battery pack is simulated with two ladder equivalent circuit models (ECMs) considering an impedance effect whose parameters are found using hybrid pulse power characterization (HPPC) current patterns with parameter determination using the table-based linear interpolation (TBLI) method. Two state estimation methods, including the current integration method and the extended Kalman filter (EKF) method are developed and the estimation accuracies of SOC and SOP are compared. Results show that the most accurate SOC estimation turns out to be 0.1477% (indoor test with HPPC), 0.1324% (outdoor test with 0 kg payload), and 0.2021% (outdoor test with 10 kg payload). Also, the most accurate SOP estimation error turns out to be 1.2% (indoor test with HPPC), 3.6% (outdoor test with 0 kg payload), and 4.2% (outdoor test with 10 kg payload). Full article
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<p>Two ladder battery ECM.</p>
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<p>Impedance voltage response.</p>
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<p>ECM parameter values: (<b>a</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>R</mi> <mn>0</mn> </msub> </mrow> </semantics> </math>; (<b>b</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>R</mi> <mn>1</mn> </msub> </mrow> </semantics> </math>; (<b>c</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mn>1</mn> </msub> </mrow> </semantics> </math>; (<b>d</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>R</mi> <mn>2</mn> </msub> </mrow> </semantics> </math>; and (<b>e</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mn>2</mn> </msub> </mrow> </semantics> </math>.</p>
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<p>ECM parameter values: (<b>a</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>R</mi> <mn>0</mn> </msub> </mrow> </semantics> </math>; (<b>b</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>R</mi> <mn>1</mn> </msub> </mrow> </semantics> </math>; (<b>c</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mn>1</mn> </msub> </mrow> </semantics> </math>; (<b>d</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>R</mi> <mn>2</mn> </msub> </mrow> </semantics> </math>; and (<b>e</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mn>2</mn> </msub> </mrow> </semantics> </math>.</p>
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<p>Overall SOC and SOP state estimation logic: (<b>a</b>) without EKF; and (<b>b</b>) with EKF.</p>
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<p>Test environments: (<b>a</b>) indoors; and (<b>b</b>) outdoors.</p>
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<p>Test schedules: (<b>a</b>) HPPC test; and (<b>b</b>) discharging test.</p>
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<p>Test schedules: (<b>a</b>) HPPC test; and (<b>b</b>) discharging test.</p>
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<p>The <math display="inline"> <semantics> <mrow> <msub> <mi>v</mi> <mrow> <mi>ocv</mi> </mrow> </msub> </mrow> </semantics> </math> comparison result (w/EKF and <math display="inline"> <semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>soc</mi> </mrow> </msub> <mo>=</mo> <mn>1</mn> </mrow> </semantics> </math> ): (<b>a</b>) HPPC; (<b>b</b>) 0 kg payload; and (<b>c</b>) 10 kg payload.</p>
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<p>The SOC comparison result (w/EKF and <math display="inline"> <semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>soc</mi> </mrow> </msub> <mo>=</mo> <mn>1</mn> </mrow> </semantics> </math>): (<b>a</b>) HPPC; (<b>b</b>) 0 kg payload; and (<b>c</b>) 10 kg payload.</p>
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<p>The SOP comparison result (w/o EKF and <math display="inline"> <semantics> <mrow> <msub> <mi>K</mi> <mrow> <mi>soc</mi> </mrow> </msub> <mo>=</mo> <mn>1</mn> </mrow> </semantics> </math>): (<b>a</b>) HPPC; (<b>b</b>) 0 kg payload; and (<b>c</b>) 10 kg payload.</p>
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6491 KiB  
Case Report
Improving Tube Design of a Problematic Heat Exchanger for Enhanced Safety at Minimal Costs
by In-Bok Lee and Seunghee Park
Energies 2017, 10(8), 1236; https://doi.org/10.3390/en10081236 - 21 Aug 2017
Viewed by 6214
Abstract
As part of a preliminary hazard analysis for a new phenol plant, the results of a hazard and operability study (HAZOP) conducted in the initial stages of the project design were re-evaluated due mechanical failure detected during the test operation. Out of the [...] Read more.
As part of a preliminary hazard analysis for a new phenol plant, the results of a hazard and operability study (HAZOP) conducted in the initial stages of the project design were re-evaluated due mechanical failure detected during the test operation. Out of the possible mechanical defects for the crude phenol column (CPC), the fact that the lowest risk grade was given to the column without consideration for any safety devices, was recognized as the cause of failure. After examining the design specifications of the safety valves of CPC, it was confirmed that the tube rupture case of the overhead condenser was also not taken into consideration. With this case included in HAZOP, the size of the safety valve had to be increased from 6Q8 to 8T10. In summary, when taking into consideration the economic impact on modification and re-purchase of the safety valve and the redesign of the piping system might have, it was determined that completely removing any possibility for the tube rupture case by mechanically reinforcing the overhead condenser would be the most economic decision. Therefore, the overhead condenser was mechanically reinforced in areas determined to require strengthening according to the results of the vibration analysis, and by adding these results to the safety device factors of the mechanical defects of CPC, the lowest safety risk grade could have been maintained. Full article
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<p>Previous horizontal design (<b>left</b>) and improved vertical design (<b>right</b>).</p>
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<p>Process flow diagram of crude phenol column.</p>
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<p>Relationship between vibration amplitude and flow rate.</p>
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<p>Mechanism of crossflow vibration amplitude.</p>
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<p>Magnification factor, C<sub>MF</sub>.</p>
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<p>The side of the heat exchanger was open to install additional support grids to inlet vapor belt.</p>
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<p>Selected tube for vibration analysis at baffle tip area.</p>
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<p>Tube displacement profiles of modes 1 and 2, 44.56 Hz (worst case).</p>
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<p>Tube displacement profiles of modes 3 and 4, 65.94 Hz.</p>
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<p>Tube displacement profiles of modes 5 and 6, 146.48 Hz.</p>
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<p>Tube displacement profiles of modes 7 and 8, 184.54 Hz.</p>
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<p>Tube displacement profiles of modes 9 and 10, 289.02 Hz.</p>
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943 KiB  
Review
A Review of the Nuclear Fuel Cycle Strategies and the Spent Nuclear Fuel Management Technologies
by Laura Rodríguez-Penalonga and B. Yolanda Moratilla Soria
Energies 2017, 10(8), 1235; https://doi.org/10.3390/en10081235 - 21 Aug 2017
Cited by 75 | Viewed by 11923
Abstract
Nuclear power has been questioned almost since its beginnings and one of the major issues concerning its social acceptability around the world is nuclear waste management. In recent years, these issues have led to a rise in public opposition in some countries and, [...] Read more.
Nuclear power has been questioned almost since its beginnings and one of the major issues concerning its social acceptability around the world is nuclear waste management. In recent years, these issues have led to a rise in public opposition in some countries and, thus, nuclear energy has been facing even more challenges. However, continuous efforts in R&D (research and development) are resulting in new spent nuclear fuel (SNF) management technologies that might be the pathway towards helping the environment and the sustainability of nuclear energy. Thus, reprocessing and recycling of SNF could be one of the key points to improve the social acceptability of nuclear energy. Therefore, the purpose of this paper is to review the state of the nuclear waste management technologies, its evolution through time and the future advanced techniques that are currently under research, in order to obtain a global vision of the nuclear fuel cycle strategies available, their advantages and disadvantages, and their expected evolution in the future. Full article
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<p>Evolution of nuclear fuel cycle costs.</p>
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<p>Evolution of deep geological repository (DGR) and reprocessing costs.</p>
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<p>Evolution of advanced cycles cost.</p>
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4827 KiB  
Article
Coupled Effects of Moisture Content and Inherent Clay Minerals on the Cohesive Strength of Remodelled Coal
by Hongwei Zhang, Zhijun Wan, Dan Ma, Bo Zhang and Peng Zhou
Energies 2017, 10(8), 1234; https://doi.org/10.3390/en10081234 - 20 Aug 2017
Cited by 8 | Viewed by 6426
Abstract
Injecting water into a coal seam to enhance the cohesive strength of coal and thus minimize and reduce the coal wall spalling risk must be considered in underground coal mining systems. In general, coal with low cohesive strength contains clay minerals which may [...] Read more.
Injecting water into a coal seam to enhance the cohesive strength of coal and thus minimize and reduce the coal wall spalling risk must be considered in underground coal mining systems. In general, coal with low cohesive strength contains clay minerals which may affect the stability of coal by interacting with water. Therefore, the coupled effects of moisture content and inherent clay minerals on the physical properties (i.e., cohesive strength and internal friction angle) of coal samples should be addressed. In this paper, direct shear tests were conducted by remodelling the Yiluo coal with various moisture contents ranging from 6.6% to 20.7%. According to Mohr–Coulomb failure criterion, cohesive strength and internal friction angle of coal were obtained. Afterwards, effects of moisture content and clay minerals (i.e., Kaolinite, Smectite and Illite) on the cohesive strength of coal were analysed using X-ray diffraction (XRD) method. The results show that cohesive strength increases when the moisture content rises from 6.6% to 17.6%, after which it decreases with increasing moisture content. This trend can be well illustrated by the relationship between typical water retention curve (WRC) and suction stress of soil. Therefore, a moisture content of 17.6% would be an optimal value to enhance the stability of the Yiluo coal seam. Full article
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<p>Remodelling processes. (<b>a</b>) Location of the Yiluo coalmine; (<b>b</b>) Three-dimensional schematic of a coal seam sandwiched between rock strata; (<b>c</b>) A coal block taken from the in situ Yiluo coal mine; (<b>d</b>) Coal particles; (<b>e</b>) Remodelled specimens in a vacuum dryer. (<b>f</b>) Remodelled specimens (<span class="html-italic">φ</span> 61.8 mm × 40 mm) in sampling tools; (<b>g</b>) Schematic of water and coal particles.</p>
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<p>Test apparatus and methods. (<b>a</b>) Direct shear testing apparatus; (<b>b</b>) Shear vessel; (<b>c</b>) Schematic of the direct shear framework.</p>
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<p>Typical stress-displacement curves under various normal stresses (i.e., 100 kPa, 200 kPa, 300 kPa, and 400 kPa,); (<b>a</b>) Moisture content is 6.6%; (<b>b</b>) Moisture content is 12.3%; (<b>c</b>) Moisture content is 17.6%; (<b>d</b>) Moisture content is 19.6%; (<b>e</b>) Moisture content is 20.7%.</p>
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<p>Mohr-Coulomb strength criterion. (<b>a</b>) Shear failure on plane a–b under triaxial stress state and σ<sub>3</sub> is the confined pressure; (<b>b</b>) Shear failure under direct shear test; (<b>c</b>) Relationship between shear stress and normal stress.</p>
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<p>Linear regressive curves of the experimental data. (<b>a</b>) Moisture content is 6.6%; (<b>b</b>) Moisture content is 12.3%; (<b>c</b>) Moisture content is 17.6%; (<b>d</b>) Moisture content is 19.6%; (<b>e</b>) Moisture content is 20.7%.</p>
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<p>Linear regressive curves of the experimental data. (<b>a</b>) Moisture content is 6.6%; (<b>b</b>) Moisture content is 12.3%; (<b>c</b>) Moisture content is 17.6%; (<b>d</b>) Moisture content is 19.6%; (<b>e</b>) Moisture content is 20.7%.</p>
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<p>Effects of moisture content on cohesive strength and internal friction angle.</p>
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<p>X-ray diffraction result of the Yiluo coal.</p>
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<p>Idealized water retention curve (WRC) and suction stress. (<b>a</b>) Relationships between saturation and suction, and suction stress and suction; (<b>b</b>) Idealized suction stress and degree of saturation content, which is derived from (<b>a</b>).</p>
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4027 KiB  
Article
A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids
by Adam B. Birchfield, Eran Schweitzer, Mir Hadi Athari, Ti Xu, Thomas J. Overbye, Anna Scaglione and Zhifang Wang
Energies 2017, 10(8), 1233; https://doi.org/10.3390/en10081233 - 19 Aug 2017
Cited by 60 | Viewed by 7252
Abstract
Public power system test cases that are of high quality benefit the power systems research community with expanded resources for testing, demonstrating, and cross-validating new innovations. Building synthetic grid models for this purpose is a relatively new problem, for which a challenge is [...] Read more.
Public power system test cases that are of high quality benefit the power systems research community with expanded resources for testing, demonstrating, and cross-validating new innovations. Building synthetic grid models for this purpose is a relatively new problem, for which a challenge is to show that created cases are sufficiently realistic. This paper puts forth a validation process based on a set of metrics observed from actual power system cases. These metrics follow the structure, proportions, and parameters of key power system elements, which can be used in assessing and validating the quality of synthetic power grids. Though wide diversity exists in the characteristics of power systems, the paper focuses on an initial set of common quantitative metrics to capture the distribution of typical values from real power systems. The process is applied to two new public test cases, which are shown to meet the criteria specified in the metrics of this paper. Full article
(This article belongs to the Section F: Electrical Engineering)
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<p>Probability mass function of substations in a case which have a certain number of buses, for eastern interconnect (EI) (blue), western interconnect cases (WECC) (orange), and 12 subset cases (black).</p>
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<p>Probability mass function of the amount of load at load buses, for EI (blue), WECC (orange), and 12 subset cases (black).</p>
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<p>Probability density of generator capacity, with height representing area since it is a logarithmic plot, for EI (blue), WECC (orange), and 12 subset cases (black).</p>
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<p>Fraction of committed generators for cases and sub-cases studied.</p>
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<p>Cumulative fraction plot of generator dispatch percentage for EI (blue) and WECC (orange).</p>
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<p>Probability density of transformer reactance, for EI (blue), WECC (orange), and envelope of 12 subset cases (black), and normal fit (red).</p>
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<p>Discrete probability transmission line impedance characteristics, for 500 kV lines in the EI.</p>
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<p>(<b>a</b>) One-line diagram of the ACTIVSg200 test case, with 230 kV lines in blue and 115 kV lines in black. (<b>b</b>) One-line diagram of the ACTIVSg500 test case, with 345 kV lines in red and 138 kV lines in black.</p>
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<p>ACTIVSg200 validation plots. (<b>a</b>) Case distribution of buses per substation (red); (<b>b</b>) Case distribution of bus loads (red). The other lines are identical to <a href="#energies-10-01233-f001" class="html-fig">Figure 1</a> and <a href="#energies-10-01233-f002" class="html-fig">Figure 2</a>, respectively.</p>
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<p>ACTIVSg500 validation plots. (<b>a</b>) case distribution of buses per substation (red); (<b>b</b>) case distribution of bus loads (red). The other lines are identical to <a href="#energies-10-01233-f001" class="html-fig">Figure 1</a> and <a href="#energies-10-01233-f002" class="html-fig">Figure 2</a>, respectively.</p>
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5903 KiB  
Article
Numerical and Experimental Investigation of Equivalence Ratio (ER) and Feedstock Particle Size on Birchwood Gasification
by Rukshan Jayathilake and Souman Rudra
Energies 2017, 10(8), 1232; https://doi.org/10.3390/en10081232 - 19 Aug 2017
Cited by 39 | Viewed by 7681
Abstract
This paper discusses the characteristics of Birchwood gasification using the simulated results of a Computational Fluid Dynamics (CFD) model. The CFD model is developed and validated with the experimental results obtained with the fixed bed downdraft gasifier available at the University of Agder [...] Read more.
This paper discusses the characteristics of Birchwood gasification using the simulated results of a Computational Fluid Dynamics (CFD) model. The CFD model is developed and validated with the experimental results obtained with the fixed bed downdraft gasifier available at the University of Agder (UIA), Norway. In this work, several parameters are examined and given importance, such as producer gas yield, syngas composition, lower heating value (LHV), and cold gas efficiency (CGE) of the syngas. The behavior of the parameters mentioned above is examined by varying the biomass particle size. The diameters of the two biomass particles are 11.5 mm and 9.18 mm. All the parameters investigate within the Equivalences Ratio (ER) range from 0.2 to 0.5. In the simulations, a variable air inflow rate is used to achieve different ER values. For the different biomass particle sizes, CO, CO2, CH4, and H2 mass fractions of the syngas are analyzed along with syngas yield, LHV, and CGE. At an ER value of 0.35, 9.18 mm diameter particle shows average maximum values of 60% of CGE and 2.79 Nm3/h of syngas yield, in turn showing 3.4% and 0.09 Nm3/h improvement in the respective parameters over the 11.5 mm diameter biomass particle. Full article
(This article belongs to the Special Issue Engineering Fluid Dynamics)
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<p>Schematic diagram of the gasifier system [<a href="#B34-energies-10-01232" class="html-bibr">34</a>].</p>
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<p>Meshed gasifier geometry and customized mesh at air inlets.</p>
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<p>Mass fraction variation with time in the experimental study.</p>
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<p>Mass fraction variation with iteration in the simulation model.</p>
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<p>Composition of the syngas predicted by model compared with experimental results.</p>
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<p>Variation of gas component mass fractions as a function of ER.</p>
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<p>Variation of Syngas yield lower heating value (LHV) and cold gas efficiency (CGE) of syngas as a function of Equivalences Ratio (ER).</p>
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<p>Temperature profile inside the gasifier.</p>
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<p>Temperature variation along the mid-axis of the gasifier simulation values vs. experimental values.</p>
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<p>CO contours with ER values of (<b>a</b>) 0.2; (<b>b</b>) 0.35; (<b>c</b>) 0.5 from left to right.</p>
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<p>H<sub>2</sub> contours with ER values of (<b>a</b>) 0.2; (<b>b</b>) 0.35; (<b>c</b>) 0.5 from left to right.</p>
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<p>CO<sub>2</sub> contours with ER values of (<b>a</b>) 0.2; (<b>b</b>) 0.35; (<b>c</b>) 0.5 from left to right.</p>
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4231 KiB  
Article
A New MCP Method of Wind Speed Temporal Interpolation and Extrapolation Considering Wind Speed Mixed Uncertainty
by Xiao Liu, Xu Lai and Jin Zou
Energies 2017, 10(8), 1231; https://doi.org/10.3390/en10081231 - 18 Aug 2017
Cited by 7 | Viewed by 4648
Abstract
In this paper, a missing wind speed data temporal interpolation and extrapolation method in the wind energy industry was investigated. Given that traditional methods have previously ignored part of mixed uncertainty of wind speed, a concrete granular computing method is constructed and a [...] Read more.
In this paper, a missing wind speed data temporal interpolation and extrapolation method in the wind energy industry was investigated. Given that traditional methods have previously ignored part of mixed uncertainty of wind speed, a concrete granular computing method is constructed and a new Measure–Correlate–Predict (MCP) method of wind speed data temporal interpolation and extrapolation considering all mixed uncertainties is proposed, based on granular computing theory by adopting the cloud model method, support vector regression method, artificial neural network, genetic algorithm, and fuzzy c-means clustering algorithm as tools. The importance of considering mixed wind speed uncertainty and the suitability of using granular computing method are illustrated, and wind speed mixed uncertainty analysis is implemented, then, recommended values and estimation tools for wind speed measurement uncertainty and combined uncertainty are provided. An interpolation case of two practical meteorological sites in central Southern China was used to implement and validate the method proposed in this paper. The following conclusions are reached: (a) by using the method proposed in this paper, mixed uncertainty of wind speed can be considered, comparing to other MCP methods used for purposes of comparison, a better estimation of the wind speed is provided, and most evaluation metrics employed in this analysis were superior to other methods, that is to say, the accuracy of the wind resource assessment improved, and the risks of wind farm construction were reduced; (b) granular computing method is suitable for the issue of wind speed data interpolation and extrapolation considering wind speed mixed uncertainty; (c) mixed uncertainty of wind speed can be divided into three levels, and recommended values of granularity are minimum interval of records, 0.3–0.8 m/s, and 1–3 m/s, respectively. Full article
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<p>Operational standard uncertainty of five anemometers: (<b>a</b>) in class A operational ranges; (<b>b</b>) in class B operational ranges.</p>
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<p>Center-line relative wind speed of lattice mast with average <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mi>T</mi> </msub> </mrow> </semantics> </math>.</p>
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<p>Average relative calibration uncertainty of ten commonly used cup anemometers with best linear regression fit.</p>
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<p>Standard uncertainties of three operational condition classes.</p>
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<p>A schematic view of wind speed data interpolation and extrapolation based on the granular computing method.</p>
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<p>Flow chart of genetic algorithm procedure.</p>
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<p>Three digital characteristics of a normal cloud model. <math display="inline"> <semantics> <mi>u</mi> </semantics> </math> is membership factor.</p>
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<p>Flow chart of backward cloud generator.</p>
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<p>Flow chart of forward cloud generator.</p>
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<p>Topological structure of predicted Artificial Neural Network (ANN) in single granular level.</p>
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<p>Topological structure of the synthesized ANN.</p>
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<p>Evaluation map of region of interest. Solid dot show the target and reference site.</p>
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<p>Scattered plot of wind speed of target site versus reference site with best fit line from 1 January 2012 to 31 December 2012.</p>
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<p>Output power curve of the wind turbine used in the case study.</p>
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<p>Combined and measurement uncertainty in this case.</p>
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<p>Comparisons between true wind speed and wind speed predicted by the granular computing method. The comparisons are proceeded in one class of ten-fold cross validation processes.</p>
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4338 KiB  
Article
Heat Conduction in Porous Media Characterized by Fractal Geometry
by Zilong Deng, Xiangdong Liu, Yongping Huang, Chengbin Zhang and Yongping Chen
Energies 2017, 10(8), 1230; https://doi.org/10.3390/en10081230 - 18 Aug 2017
Cited by 27 | Viewed by 5673
Abstract
Fractal geometry (fractional Brownian motion—FBM) is introduced to characterize the pore distribution of porous material. Based on this fractal characterization, a mathematical model of heat conduction is presented to study heat conduction behaviors in porous material with a focus on effective thermal conductivity. [...] Read more.
Fractal geometry (fractional Brownian motion—FBM) is introduced to characterize the pore distribution of porous material. Based on this fractal characterization, a mathematical model of heat conduction is presented to study heat conduction behaviors in porous material with a focus on effective thermal conductivity. The role of pore structure on temperature distribution and heat flux is examined and investigated for fractal porous material. In addition, the effects of fractal dimension, porosity, and the ratio of solid-matrix-to-fluid-phase thermal conductivity (ks/kf) on effective thermal conductivity are evaluated. The results indicate that pore structure has an important effect on heat conduction inside porous material. Increasing porosity lowers thermal conductivity. Even when porosity remains constant, effective thermal conductivity is affected by the fractal dimensions of the porous material. For porous material, the heat conduction capability weakens with increased fractal dimension. Additionally, fluid-phase thermal conduction across pores is effective in porous material only when ks/kf < 50. Otherwise, effective thermal conductivity for porous material with a given pore structure depends primarily on the thermal conductivity of the solid matrix. Full article
(This article belongs to the Special Issue Geothermal Heating and Cooling)
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<p>Elementary steps of the generation of single-cell fractal porous material: (<b>a</b>) initial grid; (<b>b</b>) corner point generated; (<b>c</b>) center value generated; (<b>d</b>) midpoint of each side generated.</p>
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<p>Schematic diagram of the generation of multi-cell fractal porous material.</p>
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<p>Schematic of heat conduction in the fractal porous material.</p>
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<p>Porous material with periodically distributed and non-interacting pores.</p>
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<p>Comparison of effective thermal conductivity between numerical results and analytical data.</p>
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<p>Temperature distributions of fractal porous material (<span class="html-italic">D</span> = 1.3): (<b>a</b>) <span class="html-italic">ε</span> = 0.3; (<b>b</b>) <span class="html-italic">ε</span> = 0.5.</p>
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<p>Effect of fractal dimension on heat flux distributions of porous material (<span class="html-italic">ε</span> = 0.5): (<b>a</b>) <span class="html-italic">D</span> = 1.3; (<b>b</b>) <span class="html-italic">D</span> = 1.5; (<b>c</b>) <span class="html-italic">D</span> = 1.7.</p>
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<p>The effect of porosity on the ratio of thermal conductivity.</p>
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<p>Effect of fractal dimension on the effective thermal conductivity.</p>
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<p>Effect of fractal dimension on the temperature distributions of porous material: (<b>a</b>) <span class="html-italic">D</span> = 1.3; (<b>b</b>) <span class="html-italic">D</span> = 1.5; (<b>c</b>) <span class="html-italic">D</span> = 1.7.</p>
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<p>Effect of <span class="html-italic">k<sub>s</sub></span>/<span class="html-italic">k<sub>f</sub></span> on the effective thermal conductivity of the porous material.</p>
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5926 KiB  
Article
Wind Energy Potential of Gaza Using Small Wind Turbines: A Feasibility Study
by Mohamed Elnaggar, Ezzaldeen Edwan and Matthias Ritter
Energies 2017, 10(8), 1229; https://doi.org/10.3390/en10081229 - 18 Aug 2017
Cited by 33 | Viewed by 8925
Abstract
In this paper, we conduct a feasibility study of the wind energy potential in Gaza, which suffers from a severe shortage of energy supplies. Our calculated energy harvested from the wind is based on data for a typical meteorological year, which are fed [...] Read more.
In this paper, we conduct a feasibility study of the wind energy potential in Gaza, which suffers from a severe shortage of energy supplies. Our calculated energy harvested from the wind is based on data for a typical meteorological year, which are fed into a small wind turbine of 5 kW power rating installable on the roof of residential buildings. The expected annual energy output at a height of 10 m amounts to 2695 kWh, but it can be increased by 35–125% at higher altitudes between 20 m and 70 m. The results also depict the great potential of wind energy to complement other renewable resources such as solar energy: the harvested energy of a wind system constitutes to up to 84% of the annual output of an equivalent power rating photovoltaic system and even outperforms the solar energy in the winter months. We also show that one wind turbine and one comparable photovoltaic system together could provide enough energy for 3.7 households. Hence, a combination of wind and solar energy could stabilize the decentralized energy production in Gaza. This is very important in a region where people seek to reach energy self-sufficient buildings due to the severe electricity shortage in the local grid. Full article
(This article belongs to the Section L: Energy Sources)
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<p>Histogram of wind speeds and the fitted Weibull distribution function (red) for the typical meteorological year.</p>
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<p>Wind rose for the typical meteorological year.</p>
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<p>Monthly average wind speed in a typical meteorological year.</p>
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<p>System model designed using TRNSYS [<a href="#B23-energies-10-01229" class="html-bibr">23</a>].</p>
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<p>Hourly distribution of power output for the typical meteorological year.</p>
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<p>Hourly wind speed and corresponding power output in February for the typical meteorological year.</p>
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<p>Harvested energy for each month of the year.</p>
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<p>Hourly power output and wind speed on the 1st of February.</p>
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<p>The relationship of power output with wind speed.</p>
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<p>Hourly wind speed at height 70 m and corresponding power output in February.</p>
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<p>Expected energy output at different heights.</p>
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<p>Expected energy output for a wind turbine at 70 m height and a comparable photovoltaic system.</p>
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2605 KiB  
Article
Optimization of Drilling Layouts Based on Controlled Presplitting Blasting through Strata for Gas Drainage in Coal Roadway Strips
by Zhicheng Xie, Dongming Zhang, Zhenlong Song, Minghui Li, Chao Liu and Dongling Sun
Energies 2017, 10(8), 1228; https://doi.org/10.3390/en10081228 - 18 Aug 2017
Cited by 31 | Viewed by 5099
Abstract
The controlled presplitting blasting technique is widely used in mining engineering to improve the permeability and gas extraction efficiency of coal seams. One of the key factors is the appropriate arrangement of the blasting and drainage holes, which can help improve the gas [...] Read more.
The controlled presplitting blasting technique is widely used in mining engineering to improve the permeability and gas extraction efficiency of coal seams. One of the key factors is the appropriate arrangement of the blasting and drainage holes, which can help improve the gas drainage quantity. To optimize the drilling layout to enhance gas-drainage efficiency, a series of controlled presplitting blasting tests were conducted at the Pingdingshan No. 8 coal mine. Based on the analysis of variations in stress and longitudinal-wave velocity of the coal in different blasting ranges, the results show that the stress on the coal at a distance of 1 m from the blasting hole decreased significantly after blasting; thus, the coal exhibited negligible bearing capacity and the longitudinal-wave velocity decreased by 56%. However, the coal exhibited particular bearing capacity at a distance of 3 m away from the blasting hole, and the longitudinal-wave velocity decreased by 35%. The stress and longitudinal-wave velocity at a distance of 5 m from the blasting hole were unaffected by the blasting. The blasting integrity rate of coal kv was defined to characterize the effect of blasting on the coal-seam fracture. The effective cracking and effective influence radii of blasting under these working conditions were predicted to be in the ranges 3.3–3.4 m and 7.2–7.3 m, respectively. According to the test results, the borehole layout was optimized in the field testes for gas drainage in coal roadway strips, and the amounts of pure gas extracted after blasting were thus increased by 1.54–2.24 times the amount before blasting. Full article
(This article belongs to the Section L: Energy Sources)
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<p>Geographic position of the coal mine.</p>
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<p>Tunnel arrangement: (<b>a</b>) Roadway design location of Wu<sub>9,10</sub> working face; (<b>b</b>) Image of gas-drainage roadway.</p>
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<p>Tunnel arrangement: (<b>a</b>) Roadway design location of Wu<sub>9,10</sub> working face; (<b>b</b>) Image of gas-drainage roadway.</p>
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<p>Borehole layout for influence-range determination.</p>
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<p>Charge structure in the blasting hole.</p>
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<p>Parallel-series connection of electric firing network.</p>
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<p>Variation in stress exerted on the coal body at different positions from blasting.</p>
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<p>Variation in blasting integrity rate <span class="html-italic">k<sub>v</sub></span> with respect to distance <span class="html-italic">r</span>.</p>
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<p>Cross-section of position of holes.</p>
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<p>Borehole bottom position of controlled presplitting blasting holes.</p>
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<p>Variation curves of pure gas extraction from boreholes.</p>
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5269 KiB  
Article
An All-Electric-Aircraft Tailored SiC-Based Power Factor Correction Converter with Adaptive DC-Link Regulator
by Gianluca Brando, Adolfo Dannier, Andrea Del Pizzo and Marino Coppola
Energies 2017, 10(8), 1227; https://doi.org/10.3390/en10081227 - 18 Aug 2017
Cited by 6 | Viewed by 4635
Abstract
In recent years the aerospace industry has made a growing effort to develop a quieter and more environmentally friendly aircraft. In particular, several research activities have been focused on innovative solutions aimed at the design/optimization of an on-board electric system fully compatible with [...] Read more.
In recent years the aerospace industry has made a growing effort to develop a quieter and more environmentally friendly aircraft. In particular, several research activities have been focused on innovative solutions aimed at the design/optimization of an on-board electric system fully compatible with this new approach. A first important step in the evolution towards an All Electric Aircraft (AEA) is the replacement of the hydraulic actuators with fully electric ones. The transition process is not easy to carry out, since weight, size and reliability represent highly critical issues for aircraft applications. In this context, the significant improvements in semiconductor technologies can be exploited as a critical means to overcome the constraints mentioned. Indeed, this work proposes a Silicon Carbide (SiC) based Power Factor Correction (PFC) converter, whose design and control have been tailored in order to properly supply a wide range of on-board Electro-Mechanical Actuators (EMA). In particular, while the adopted circuit topology allows for power factor correction and bi-directional power flow, the SiC technology, thanks to the higher efficiency with respect to other semiconductor-based technologies, leads to a significant reduction in the overall system weight/volume. Furthermore, to meet the strict requirements in terms of dynamic and steady state performance imposed by the application, a novel adaptive regulator is conceived. A reduced-scale laboratory prototype of the SiC-based converter (3 kVA) is realized in order to verify the effectiveness of the proposed design and control approach. Full article
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<p>Proposed Power Factor Correction (PFC) converter.</p>
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<p>Control diagram.</p>
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<p>behavior of the reference power ratio (<b>a</b>), the relative voltage error (<b>b</b>) and the proportional component (<b>c</b>).</p>
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<p>DC-Link capacitance C behavior (<b>a</b>) and boost inductance L behavior (<b>b</b>) versus the line currents Total Harmonic Distortion (THD) expressed in percent [%].</p>
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<p>Behaviors of the absorbed power P (<b>a</b>) and of the DC-Link voltage <span class="html-italic">v<sub>dc</sub></span> (<b>b</b>) in the whole simulation interval.</p>
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<p>Grid voltages (<b>a</b>) and line currents (<b>b</b>) behaviors in steady state condition at the rated power.</p>
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<p>Grid voltages (<b>a</b>) and line currents (<b>b</b>) behaviors in steady state condition at the rated power.</p>
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<p>SiC dissipated power <span class="html-italic">P<sub>j</sub></span> (<b>a</b>) and relative junction temperature <span class="html-italic">T<sub>j</sub></span> (<b>b</b>) behaviors.</p>
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<p>PFC prototype and boost inductors.</p>
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<p>Behavior on the DC-Link voltage under different transient conditions: boost stage (<b>a</b>); 0→1.5 kW load step variation (<b>b</b>); 1.5→3 kW load step variation (<b>c</b>); 3 kW→0 load step variation (<b>d</b>).</p>
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<p>Line current behaviors in steady state condition: 1.5 kW (<b>a</b>) and 3 kW (<b>b</b>).</p>
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<p>Line current behaviors in steady state condition: 1.5 kW (<b>a</b>) and 3 kW (<b>b</b>).</p>
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2410 KiB  
Article
A Sensitivity Analysis of a Computer Model-Based Leak Detection System for Oil Pipelines
by Zhe Lu, Yuntong She and Mark Loewen
Energies 2017, 10(8), 1226; https://doi.org/10.3390/en10081226 - 17 Aug 2017
Cited by 9 | Viewed by 4483
Abstract
Improving leak detection capability to eliminate undetected releases is an area of focus for the energy pipeline industry, and the pipeline companies are working to improve existing methods for monitoring their pipelines. Computer model-based leak detection methods that detect leaks by analyzing the [...] Read more.
Improving leak detection capability to eliminate undetected releases is an area of focus for the energy pipeline industry, and the pipeline companies are working to improve existing methods for monitoring their pipelines. Computer model-based leak detection methods that detect leaks by analyzing the pipeline hydraulic state have been widely employed in the industry, but their effectiveness in practical applications is often challenged by real-world uncertainties. This study quantitatively assessed the effects of uncertainties on leak detectability of a commonly used real-time transient model-based leak detection system. Uncertainties in fluid properties, field sensors, and the data acquisition system were evaluated. Errors were introduced into the input variables of the leak detection system individually and collectively, and the changes in leak detectability caused by the uncertainties were quantified using simulated leaks. This study provides valuable quantitative results contributing towards a better understanding of how real-world uncertainties affect leak detection. A general ranking of the importance of the uncertainty sources was obtained: from high to low it is time skew, bulk modulus error, viscosity error, and polling time. It was also shown that inertia-dominated pipeline systems were less sensitive to uncertainties compared to friction-dominated systems. Full article
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<p>Schematic of the study pipeline with simulated leak.</p>
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<p>Effect of uncertainty in <span class="html-italic">R</span> factor on leak detectability in a system with <span class="html-italic">R</span> = 2.20 for a flow decrease transient: (<b>a</b>) perfect data; and (<b>b</b>) noisy data. Arrows in (<b>a</b>) indicate the interception between the threshold line and the <span class="html-italic">DVB</span> curve.</p>
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<p>Effect of viscosity error on leak detectability in a system with <span class="html-italic">R</span> = 2.20 with 1% Gaussian noise: (<b>a</b>) flow decrease; and (<b>b</b>) flow increase.</p>
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<p>Effect of bulk modulus error on leak detectability in a system with <span class="html-italic">R</span> = 2.20 with perfect data: (<b>a</b>) flow decrease; (<b>b</b>) flow increase.</p>
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<p><span class="html-italic">BMC</span> behaviour for flow decrease transient initiated at: (<b>a</b>) the downstream end; and (<b>b</b>) upstream end with perfect data.</p>
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<p>Effect of bulk modulus error on leak detectability with exact and excessive <span class="html-italic">BMER</span> in a system with <span class="html-italic">R</span> = 2.20 with perfect data.</p>
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<p>Effect of bulk modulus error on leak detectability in a system with <span class="html-italic">R</span> = 2.20 with 1% Gaussian noise: (<b>a</b>) flow decrease; and (<b>b</b>) flow increase.</p>
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<p>Effect of time skew on leak detectability in a system with <span class="html-italic">R</span> = 2.20 with perfect data (sensors contain a 10-s time skew): (<b>a</b>) flow decrease; and (<b>b</b>) flow increase.</p>
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<p>Effect of time skew on leak detectability in a system with <span class="html-italic">R</span> = 2.20 with noisy data (sensors contain a 10-s time skew): (<b>a</b>) flow decrease; (<b>b</b>) flow increase; and (<b>c</b>) steady state.</p>
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<p>Delayed leak detection time for the 500 cases with random uncertainties under flow decrease conditions in systems where: (<b>a</b>) <span class="html-italic">R</span> = 0.49; and (<b>b</b>) <span class="html-italic">R</span> = 2.20<span class="html-italic">.</span></p>
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<p>Delayed leak detection time for the 500 cases with random uncertainties under steady state conditions in systems where: (<b>a</b>) <span class="html-italic">R</span> = 0.49; and (<b>b</b>) <span class="html-italic">R</span> = 2.20.</p>
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7870 KiB  
Article
Hydrogen Storage Capacity of Tetrahydrofuran and Tetra-N-Butylammonium Bromide Hydrates Under Favorable Thermodynamic Conditions
by Joshua T. Weissman and Stephen M. Masutani
Energies 2017, 10(8), 1225; https://doi.org/10.3390/en10081225 - 17 Aug 2017
Cited by 8 | Viewed by 5474
Abstract
An experimental study was conducted to evaluate the feasibility of employing binary hydrates as a medium for H2 storage. Two reagents, tetrahydrofuran (THF) and tetra-n-butylammonium bromide (TBAB), which had been reported previously to have potential to form binary hydrates with [...] Read more.
An experimental study was conducted to evaluate the feasibility of employing binary hydrates as a medium for H2 storage. Two reagents, tetrahydrofuran (THF) and tetra-n-butylammonium bromide (TBAB), which had been reported previously to have potential to form binary hydrates with H2 under favorable conditions (i.e., low pressures and high temperatures), were investigated using differential scanning calorimetry and Raman spectroscopy. A scale-up facility was employed to quantify the hydrogen storage capacity of THF binary hydrate. Gas chromatography (GC) and pressure drop analyses indicated that the weight percentages of H2 in hydrate were less than 0.1%. The major conclusions of this investigation were: (1) H2 can be stored in binary hydrates at relatively modest pressures and temperatures which are probably feasible for transportation applications; and (2) the storage capacity of H2 in binary hydrate formed from aqueous solutions of THF over a concentration range extending from 2.78 to 8.34 mol % and at temperatures above 263 K and pressures below 11 MPa was <0.1 wt %. Full article
(This article belongs to the Special Issue Methane Hydrate Research and Development)
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<p>Schematic drawing of the calorimeter setup.</p>
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<p>Photograph of the MCDSC high pressure sample cell and closure.</p>
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<p>Diagram of the Raman spectroscopy facility.</p>
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<p>Photograph (<b>A</b>) and cross-sectional view (<b>B</b>) of the fiber optic probe. Light from the laser is transmitted into the sample cell by fiber (<b>a</b>) the surrounding six fibers; (<b>b</b>) collect scattered light.</p>
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<p>Layout of the scale up facility.</p>
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<p>Photograph of the hydrate scale-up sample chamber.</p>
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<p>Apparatus used to generate THF and TBAB hydrate crystals.</p>
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<p>Temperature history for MCDSC experiments.</p>
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<p>Gas purge and sample collection process.</p>
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<p>Comparison of decomposition curves for 2.78 mol % THF at various hydrogen pressures.</p>
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<p>Comparison of decomposition curves for 5.56 mol % THF at various hydrogen pressures.</p>
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<p>Comparison of decomposition curves for 8.34 mol % THF at various hydrogen pressures.</p>
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<p>Comparison of ice and hydrate decomposition thermograms for 5.56 mol % THF at 10.34 MPa under pure N<sub>2</sub> (red) and pure H<sub>2</sub> (blue) gas.</p>
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<p>Comparison of decomposition curves for 1.38 mol % TBAB at various hydrogen pressures. Baseline case conducted at atmospheric pressure with no H<sub>2</sub>.</p>
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<p>Comparison of decomposition curves for 3.59 mol % TBAB at various hydrogen pressures. Baseline case conducted at atmospheric pressure with no H<sub>2</sub>.</p>
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<p>Raman spectrum of H<sub>2</sub> in the gas phase at 263 K.</p>
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<p>Raman spectrum of 5.56 mol % THF at 274 K and 6.89 MPa.</p>
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<p>Raman spectrum of 5.56 mol % THF solution at 298 K.</p>
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<p>H<sub>2</sub> gas pressure drop at 263 K due to hydrate formation; 2.78 mol % THF.</p>
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<p>H<sub>2</sub> gas pressure drop at 274 K due to hydrate formation; 2.78 mol % THF.</p>
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6504 KiB  
Article
Best Practices for Recovering Rural Abandoned Towers through the Installation of Small-Scale Biogas Plants
by Mattia Manni, Valentina Coccia, Gianluca Cavalaglio, Andrea Nicolini and Alessandro Petrozzi
Energies 2017, 10(8), 1224; https://doi.org/10.3390/en10081224 - 17 Aug 2017
Cited by 8 | Viewed by 4176
Abstract
The massive and continuous development of renewable energy systems is making it possible to achieve the European goals regarding environment and sustainability. On the other hand, it leads to the progression of significant problems such as low renewable energy density (i), social acceptability [...] Read more.
The massive and continuous development of renewable energy systems is making it possible to achieve the European goals regarding environment and sustainability. On the other hand, it leads to the progression of significant problems such as low renewable energy density (i), social acceptability (ii), and non-programmability of renewable energy sources (iii). The rural architecture, which is largely present in the countryside of central Italy, is generally equipped with several annexes such as dovecotes (i), grain stores (ii), and tobacco drying kilns (iii). Nowadays, those towers appear in decay because of the decline of agricultural activities, although they are classed as Environmental and Historical Heritage sites. The present work aims to propose a methodology for improving the energy grid in the countryside, while reusing abandoned buildings by modifying their function and maintaining their aspect as much as possible. The proposed workflow was applied to a rural silo, which has fallen into disuse, in Sant’Apollinare (Marsciano, Perugia) by converting it into a mini-biogas plant. The function of the annex which was chosen as the case study changes from agricultural use to energy production: it becomes an on-site renewable energy-based electric grid that can produce clean energy from agricultural and forestry residues. The project turns out to be sustainable not only in terms of energy and the environment, but also from an economic point of view as a result of the recent regulations and incentives for renewable energy production. Full article
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<p>Rural buildings in central Italy, from the left: (<b>a</b>) a grain store silo; (<b>b</b>) a dovecotes tower; (<b>c</b>) a tobacco drying kiln.</p>
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<p>Localization of the main silos on the countryside near Sant’Apollinare (Marsciano, Perugia).</p>
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<p>Pictures of the silos reported in the previous orthophoto of Sant’Apollinare area. (<b>a</b>) Silo Le Masse; (<b>b</b>) Silo Via Settevalli; (<b>c</b>) Silo Sant’Apollinare.</p>
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<p>Survey and measurement process of silo’s geometry, base, and profile: (<b>a</b>) Plan; (<b>b</b>) Section. The dimensions are expressed in meters.</p>
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<p>An overview of the small-scale biogas plant integrated within the silo.</p>
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<p>A schematic section of the digester plant, from the left: before, during and after mixing.</p>
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<p>A recent cardoon crop in Sant’ Apollinare.</p>
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10179 KiB  
Article
Sensitivity Analysis of Heavy Fuel Oil Spray and Combustion under Low-Speed Marine Engine-Like Conditions
by Lei Zhou, Aifang Shao, Haiqiao Wei and Xi Chen
Energies 2017, 10(8), 1223; https://doi.org/10.3390/en10081223 - 17 Aug 2017
Cited by 14 | Viewed by 6368
Abstract
On account of their high power, thermal efficiency, good reliability, safety, and durability, low-speed two-stroke marine diesel engines are used as the main drive devices for large fuel and cargo ships. Most marine engines use heavy fuel oil (HFO) as the primary fuel, [...] Read more.
On account of their high power, thermal efficiency, good reliability, safety, and durability, low-speed two-stroke marine diesel engines are used as the main drive devices for large fuel and cargo ships. Most marine engines use heavy fuel oil (HFO) as the primary fuel, however, the physical and chemical characteristics of HFO are not clear because of its complex thermophysical properties. The present study was conducted to investigate the effects of fuel properties on the spray and combustion characteristics under two-stroke marine engine-like conditions via a sensitivity analysis. The sensitivity analysis of fuel properties for non-reacting and reacting simulations are conducted by comparing two fuels having different physical properties, such as fuel density, dynamic viscosity, critical temperature, and surface tension. The performances of the fuels are comprehensively studied under different ambient pressures, ambient temperatures, fuel temperatures, and swirl flow conditions. From the results of non-reacting simulations of HFO and diesel fuel properties in a constant volume combustion chamber, it can be found that the increase of the ambient pressure promotes fuel evaporation, resulting in a reduction in the steady liquid penetration of both diesel and HFO; however, the difference in the vapor penetrations of HFO and diesel reduces. Increasing the swirl flow significantly influences the atomization of both HFO and diesel, especially the liquid distribution of diesel. It is also found that the ambient temperature and fuel temperature have the negative effects on Sauter mean diameter (SMD) distribution. For low-speed marine engines, the combustion performance of HFO is not sensitive to activation energy in a certain range of activation energy. At higher engine speed, the difference in the effects of different activation energies on the in-cylinder pressure increases. The swirl flow in the cylinder can significantly promote fuel evaporation and reduce soot production. Full article
(This article belongs to the Section F: Electrical Engineering)
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<p>Computational grids for RFCVCC, FIA, and 340 marine engine simulations.(<b>a</b>) RFCVCC for non-reacting simulations; (<b>b</b>) FIA for combustion simulations; (<b>c</b>) 340 marine engine simulations.</p>
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<p>Fuel properties of HFO and diesel. (<b>a</b>) Surface tension; (<b>b</b>) Vapor pressure; (<b>c</b>) Viscosity; (<b>d</b>) Heat of vaporization.</p>
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<p>Comparison of liquid and vapor spray penetrations obtained by simulation and experiment for HFO and diesel under different ambient pressures. (<b>a</b>) Liquid phase penetration at 3 MPa of ambient pressure; (<b>b</b>) Vapor phase penetration at 3 MPa of ambient pressure; (<b>c</b>) Liquid phase penetration at 6 MPa of ambient pressure; (<b>d</b>) Vapor phase penetration at 6 MPa of ambient pressure; (<b>e</b>) Liquid phase penetration at 9 MPa of ambient pressure; (<b>f</b>) Vapor phase penetration at 9 MPa of ambient pressure.</p>
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<p>Comparison of liquid and vapor spray penetrations obtained by simulation and experiment for HFO and diesel under different ambient pressures. (<b>a</b>) Liquid phase penetration at 3 MPa of ambient pressure; (<b>b</b>) Vapor phase penetration at 3 MPa of ambient pressure; (<b>c</b>) Liquid phase penetration at 6 MPa of ambient pressure; (<b>d</b>) Vapor phase penetration at 6 MPa of ambient pressure; (<b>e</b>) Liquid phase penetration at 9 MPa of ambient pressure; (<b>f</b>) Vapor phase penetration at 9 MPa of ambient pressure.</p>
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<p>Comparison of spray configurations under different spray orientations at 9 MPa of ambient pressure at 3 ms after start of injection. (<b>a</b>) Liquid penetrations; (<b>b</b>) Vapor penetrations.</p>
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<p>Injection angles used in HFO and diesel simulations.</p>
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<p>The evolutions of evaporated mass of HFO and Diesel fuels. (<b>a</b>) HFO; (<b>b</b>) Diesel.</p>
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<p>Comparison of diesel and HFO spray characteristics under different ambient temperatures. (<b>a</b>) Liquid penetration; (<b>b</b>) Evaporated mass; (<b>c</b>) SMD; (<b>d</b>) Parcel radius.</p>
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<p>Comparison of diesel and HFO spray characteristics under different fuel temperatures. (<b>a</b>) Liquid penetration; (<b>b</b>) Evaporated mass; (<b>c</b>) SMD; (<b>d</b>) Parcel radius.</p>
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<p>Heat release rate of HFO at different activation energies.</p>
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<p>Combustion performance of marine engine fueled with HFO at different engine speeds. (<b>a</b>) 169 rpm; (<b>b</b>) 338 rpm; (<b>c</b>) 676 rpm.</p>
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<p>NO<sub>x</sub> of marine engine fueled with HFO at different engine speeds.</p>
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<p>Combustion performance of marine engine fueled with diesel-like fuel at different engine speeds. (<b>a</b>) 169 rpm; (<b>b</b>) 676 rpm.</p>
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<p>Combustion performance of marine engine fueled with diesel-like fuel at different engine speeds. (<b>a</b>) 169 rpm; (<b>b</b>) 676 rpm.</p>
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<p>Combustion and emission performances of HFO at different swirl ratios. (<b>a</b>) Pressure and average temperature; (<b>b</b>) Soot and NO<sub>x</sub>.</p>
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<p>Distributions of gas and liquid phases of spray and flow field.</p>
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<p>Distribution of cylinder temperature under different swirl ratios.</p>
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<p>Map of equivalence ratio vs. temperature under different swirl ratios. (<b>a</b>) Swirl = 2; (<b>b</b>) Swirl = 4; (<b>c</b>) Swirl = 6.</p>
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3637 KiB  
Article
Quantifying Cathode Water Transport via Anode Relative Humidity Measurements in a Polymer Electrolyte Membrane Fuel Cell
by Logan Battrell, Aubree Trunkle, Erica Eggleton, Lifeng Zhang and Ryan Anderson
Energies 2017, 10(8), 1222; https://doi.org/10.3390/en10081222 - 17 Aug 2017
Cited by 5 | Viewed by 5443
Abstract
A relative humidity (RH) measurement based on pressure drop analysis is presented as a diagnostic tool to experimentally quantify the amount of excess water on the cathode side of a polymer electrolyte membrane fuel cell (PEMFC). Ex-situ pressure drop calibration curves collected at [...] Read more.
A relative humidity (RH) measurement based on pressure drop analysis is presented as a diagnostic tool to experimentally quantify the amount of excess water on the cathode side of a polymer electrolyte membrane fuel cell (PEMFC). Ex-situ pressure drop calibration curves collected at fixed RH values, used with a set of well-defined equations for the anode pressure drop, allows for an estimate of in-situ relative humidity values. During the in-situ test, a dry anode inlet stream at increasing flow rates is used to create an evaporative gradient to drive water from the cathode to the anode. This combination of techniques thus quantitatively determines the changing net cell water flux. Knowing the cathodic water production rate, the net water flux to the anode can explain the influence of liquid and vapor transport as a function of GDL selection. Experimentally obtained quantified values for the water removal rate for a variety of cathode gas diffusion layer (GDL) setups are presented, which were chosen to experimentally vary a range of water management abilities, from high to low performance. The results show that more water is transported to the anode when a GDL with poor water management capabilities is used, due to the higher levels of initial saturation occurring on the cathode. At sufficiently high concentration gradients, the anode removes more water than is produced by the reaction, allowing for the quantification of excess water saturating the cathode. The protocol is broadly accessible and applicable as a quantitative diagnostic tool of water management in PEMFCs. Full article
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<p>Experimental schematic showing liquid water accumulation and the main water vapor fluxes in the Anode Water Removal (AWR) procedure. As the anode flow rate increases, more water from the cathode is driven to the anode.</p>
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<p>Iteration tree to determine the in-situ anode Relative Humidity (RH). An initial RH guess is used to determine all fluid physical properties and calculate the anode pressure drop. These are compared to the measured pressure drop and the iteration continues until the difference between the measured and calculated pressure drops is minimized.</p>
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<p>(<b>A</b>) Polarization curve data for different membrane electrode assembly (MEA) configurations varying the cathode GDL at 75 °C for all setups, and (<b>B</b>) Comparison of AWR results for different MEA configurations varying the cathode GDL.</p>
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<p>Comparison of experimentally measured anode pressure drop values and values predicted from Equation (1) at corresponding stoichiometric values for the fuel cell operating at 75 °C and <span class="html-italic">P<sub>inlet</sub></span> = 206.9 kPaG.</p>
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<p>Comparison of voltage and net cell water flux for the operating conditions of (<b>A</b>) 75 °C; cathode GDL 25 BC (<b>B</b>) 75 °C; cathode GDL 25 BA (<b>C</b>) 75 °C; cathode GDL 25 AA and (<b>D</b>) 85 °C; cathode GDL 25 AA.</p>
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<p>Average cathode pressure drop for each MEA configuration. Open symbols represent the tests performed at 85 °C.</p>
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<p>A plot of the increase in voltage versus the total water removed by the anode stream.</p>
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2244 KiB  
Article
Net Load Carrying Capability of Generating Units in Power Systems
by Chang-Gi Min and Mun-Kyeom Kim
Energies 2017, 10(8), 1221; https://doi.org/10.3390/en10081221 - 17 Aug 2017
Cited by 13 | Viewed by 5011
Abstract
This paper proposes an index called net load carrying capability (NLCC) to evaluate the contribution of a generating unit to the flexibility of a power system. NLCC is defined as the amount by which the load can be increased when a generating unit [...] Read more.
This paper proposes an index called net load carrying capability (NLCC) to evaluate the contribution of a generating unit to the flexibility of a power system. NLCC is defined as the amount by which the load can be increased when a generating unit is added to the system, while still maintaining the flexibility of the system. This index is based on the flexibility index termed ramping capability shortage expectation (RSE), which has been used to quantify the risk associated with system flexibility. This paper argues that NLCC is more effective than effective load carrying capability (ELCC) in quantifying the contribution of the generating unit to flexibility. This is explained using an illustrative example. A case study has been performed with a modified IEEE-RTS-96 to confirm the applicability of the NLCC index. The simulation results demonstrate the effect of operating conditions such as operating point and ramp rate on NLCC, and show which kind of unit is more helpful in terms of flexibility. Full article
(This article belongs to the Special Issue Risk-Based Methods Applied to Power and Energy Systems)
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<p>Result of generation schedule.</p>
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<p>A case of load-shedding.</p>
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<p>Forecasted net load profile.</p>
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<p>RSE before and after adding a 400-MW unit.</p>
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<p>RSE before and after adding a 100-MW unit.</p>
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<p>Installed capacities of each type unit for every year.</p>
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30967 KiB  
Article
The UK Solar Farm Fleet: A Challenge for the National Grid?
by Diane Palmer, Elena Koubli, Tom Betts and Ralph Gottschalg
Energies 2017, 10(8), 1220; https://doi.org/10.3390/en10081220 - 17 Aug 2017
Cited by 8 | Viewed by 7396
Abstract
Currently, in the UK, it is widely believed that supply from renewable energy sources is capable of reaching proportions too great for the transmission system. This research investigates this topic objectively by offering an understanding of year-to-year and area-to-area variability of PV (photovoltaic) [...] Read more.
Currently, in the UK, it is widely believed that supply from renewable energy sources is capable of reaching proportions too great for the transmission system. This research investigates this topic objectively by offering an understanding of year-to-year and area-to-area variability of PV (photovoltaic) performance, measured in terms of specific yield (kWh/kWp). The dataset is created using publicly available data that gives an indication of impact on the grid. The daily and seasonal variance is determined, demonstrating a surprisingly good energy yield in April (second only to August). The geographic divergence of generation from large scale solar systems is studied for various sized regions. Generation is compared to demand. Timing of output is analyzed and probability of achieving peak output ascertained. Output and demand are not well matched, as regards location. Nevertheless, the existing grid infrastructure is shown to have sufficient capacity to handle electricity flow from large scale PV. Full nameplate capacity is never reached by the examples studied. Although little information is available about oversizing of array-to-inverter ratios, this is considered unlikely to be a major contributor to grid instability. It is determined that output from UK solar farms currently presents scant danger to grid stability. Full article
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<p>Summary of stages involved in generation of solar farm output.</p>
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<p>Construction of grid supply point (GSP) areas using Thiessen polygons.</p>
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<p>Solar farms, high voltage power lines, and large urban areas in the UK. (<b>a</b>) Solar farms compared to location of high voltage lines; (<b>b</b>) size of solar farms.</p>
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<p>Average annual global horizontal irradiation of each DNO, kWh/m<sup>2</sup> (ten-year average 2005–2014). (<b>a</b>) Average annual GHI per DNO, kWh/m<sup>2</sup>; (<b>b</b>) interpolated irradiance (blue = low, orange = high).</p>
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<p>Number and total capacity of UK solar farms in 2015.</p>
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<p>Modelled annual output for solar farms 2014, MWh.</p>
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<p>Solar farms per GSP 2015. (<b>a</b>) Number; (<b>b</b>) capacity in MW.</p>
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<p>Calculated solar farm output in 2014 allocated to GSP area/point compared to electricity ten-year statement GSP winter peak demands 2015 (Demand data obtained from [<a href="#B19-energies-10-01220" class="html-bibr">19</a>]. (<b>a</b>) Solar farm output allocated to GSP area MW 2014; (<b>b</b>) Demand per GSP area MW 2015; (<b>c</b>) Solar farm output and demand per GSP point (background DNO areas).</p>
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<p>Calculated overloads compared to DNO company constraints on BSP in Southern DNO. (<b>a</b>) Total capacity of solar farms per BSP Thiessen polygon; (<b>b</b>) overloads and constraints on BSPs.</p>
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<p>Solar farms and high voltage line in restricted Southwest region.</p>
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<p>Frequency of 2014 power output normalized by average annual output for 4 VW solar farms for largest site and all sites.</p>
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<p>Percentage of daylight hours in each fraction of peak output bin (2005–2014).</p>
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<p>Average fraction of peak output per hour (2005–2014).</p>
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<p>Boxplots illustrating Variability of average hourly fraction of peak output (5: 00 am–8: 00 pm) for each DNO (2005–2014).</p>
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<p>Average hourly fraction of output on a daily basis (2005–2014).</p>
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<p>Boxplots illustrating variability of average monthly fraction of output for each DNO (2005–2014).</p>
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<p>Number of hours during which output reaches a given percentage of installed capacity (capacity shown as bins). (<b>a</b>) By 575 solar farms countrywide 2014; (<b>b</b>) by single solar farm 1630 and 175 solar farms in Southwest DNO.</p>
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<p>Percentage of daylight hour more than 90% capacity achieved by UK solar farm fleet 2014.</p>
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<p>Effect of overplanting/power limiting, e.g., 6 MW inverter for 10 MW nameplate capacity solar farm.</p>
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<p>Effect of overplanting portrayed by two solar farms in Cornwall—one overplanted by 40%, the other equal capacity inverter and field.</p>
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<p>Map showing locations of all UK areas, cities and towns covered by this research.</p>
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10326 KiB  
Article
Do the Different Exergy Accounting Methodologies Provide Consistent or Contradictory Results? A Case Study with the Portuguese Agricultural, Forestry and Fisheries Sector
by Ricardo Manso, Tânia Sousa and Tiago Domingos
Energies 2017, 10(8), 1219; https://doi.org/10.3390/en10081219 - 17 Aug 2017
Cited by 10 | Viewed by 4833
Abstract
Three exergy accounting approaches are used to evaluate exergy efficiency: the Energy Resources Exergy Accounting (EREA), the Natural Resources’ Exergy Accounting (NREA) and the Extended Exergy Accounting (EEA). To test the consistency of the results provided by these methodologies, we apply them to [...] Read more.
Three exergy accounting approaches are used to evaluate exergy efficiency: the Energy Resources Exergy Accounting (EREA), the Natural Resources’ Exergy Accounting (NREA) and the Extended Exergy Accounting (EEA). To test the consistency of the results provided by these methodologies, we apply them to evaluate the Portuguese agricultural, forestry and fisheries (AFF) sector, from 2000 to 2012. EREA shows an increase of 30% in the efficiency of the Portuguese AFF sector, while NREA and EEA methodologies increases of 27% and 43%, respectively. Although the results are consistent for the AFF sector, the same does not happen in the fisheries subsector, whose exergetic efficiency increases 14% with the EREA but decreases 42% with the NREA approach. The ratio of output to useful exergy reveals that a better thermodynamic efficiency is not translated into a higher energy service efficiency because fishing vessels have to travel more to get the same fish. Thus, results provided by the EREA and NREA approaches are complementary and both are needed to provide a realistic picture of exergy efficiency. On the other hand, results obtained by the EEA approach are dominated by capital and environmental impacts, revealing the disproportionality between material and immaterial inputs in this methodology. Full article
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<p>Exergy accounting methodologies.</p>
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<p>Energy carriers’ conversion efficiency from 2000 to 2012 (full lines on the left axis and dashed line on the right axis).</p>
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<p>Exergy accounting methodologies for the Agricultural, Forestry and Fisheries Sector.</p>
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<p>Inputs and outputs of the Agriculture, Forestry and Fishery (AFF) sector.</p>
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<p>Exergy of energy resources’ inputs to agriculture and forestry.</p>
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<p>Exergy of energy resources’ inputs to the fishery subsector.</p>
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<p>Useful Exergy by end use category in agriculture and forestry.</p>
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<p>Useful Exergy by end use category in fisheries.</p>
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<p>AFF sector and subsectors efficiencies by EREA approach.</p>
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<p>AFF sector and subsectors efficiencies by EREA approach considering year 2000 carrier-end use efficiencies.</p>
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<p>Natural resources exergy output from the AFF sector.</p>
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<p>Natural resources exergy output from the AFF sector in percentage.</p>
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<p>Natural resources exergy inputs to the AFF sector.</p>
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<p>Natural resources exergy inputs to the AFF sector in percentage.</p>
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<p>AFF sector and subsectors efficiencies by NREA approach.</p>
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<p>Exergy of labour into AFF subsectors and equivalent exergy of labour.</p>
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<p>Capital exergy into AFF subsectors and equivalent exergy of capital.</p>
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<p>The virtual exergy input due to pollutant emissions into AFF subsectors.</p>
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<p>Extended exergy input to the AFF sector.</p>
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<p>AFF sector and subsectors efficiencies by EEA approach.</p>
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<p>AFF sector and subsectors’ efficiencies by methodology (full lines on the left axis and dashed lines on the right axis). EREA in shades of green, NREA in shades of blue and EEA in shades of orange.</p>
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<p>Ratio between output exergy from the sector and the useful exergy from energy resources.</p>
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<p>Nutritional energy output from crop production.</p>
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<p>Nutritional energy output from meat slaughtering.</p>
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<p>Nutritional energy output from fish catch.</p>
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<p>Nutritional energy output from aquaculture production.</p>
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<p>Nutritional energy output from collected milk.</p>
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<p>Nutritional energy output from produced honey.</p>
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<p>Nutritional energy output from produced eggs.</p>
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<p>Exergy output from wood removals.</p>
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<p>Exergy of fertilizers into agriculture.</p>
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<p>Exergy of pesticides into agriculture.</p>
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<p>Nutritional energy of seeds into crop production.</p>
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<p>Nutritional energy of feed into animal husbandry.</p>
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<p>Nutritional energy of incubation eggs.</p>
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4054 KiB  
Article
Valuation of Real Options in Crude Oil Production
by Luis Mª Abadie and José M. Chamorro
Energies 2017, 10(8), 1218; https://doi.org/10.3390/en10081218 - 17 Aug 2017
Cited by 9 | Viewed by 4504
Abstract
Oil producers are going through a hard period. They have a number of real options at their disposal. This paper addresses the valuation of two of them: the option to delay investment and the option to abandon a producing field. A prerequisite for [...] Read more.
Oil producers are going through a hard period. They have a number of real options at their disposal. This paper addresses the valuation of two of them: the option to delay investment and the option to abandon a producing field. A prerequisite for this is to determine the value of a producing well. For this purpose we draw on a stochastic model of oil price with three risk factors: spot price, long-term price, and spot price volatility. This model is estimated with spot and futures West Texas Intermediate (WTI) oil prices. The numerical estimates of the underlying parameters allow calculate the value of a producing well over a fixed time horizon. We delineate the optimal boundary that separates the investment region from the wait region in the spot price/unit cost space. We similarly draw the boundary governing the optimal exercise of the option to abandon and the one governing the active/inactive production decision when there is no such option. Full article
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<p>Opportunity to delay: Option Value and Net Present Value.</p>
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<p>Opportunity to delay: Option Value and NPV when <math display="inline"> <semantics> <mrow> <msub> <mi>S</mi> <mn>0</mn> </msub> <mo>=</mo> <msubsup> <mi>S</mi> <mn>0</mn> <mo>*</mo> </msubsup> </mrow> </semantics> </math> = 49.94 <span>$</span>/bbl.</p>
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<p>Opportunity to delay: Option Value and Net Present Value with <span class="html-italic">c</span> = 30 <span>$</span>/bbl.</p>
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<p>Opportunity to delay investment: Trigger price as function of cost <math display="inline"> <semantics> <mi>c</mi> </semantics> </math>.</p>
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<p>Value of the option to delay with and without stochastic volatility.</p>
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<p>Opportunity to abandon: Option Value and Net Present Value (<span class="html-italic">c</span> = 45 <span>$</span>/bbl).</p>
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<p>Abandonment Option: Exercise/Continuation Regions and Profit/Loss Regions.</p>
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<p>Value of abandonment option as a function of production cost and option maturity.</p>
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<p>Exercise of the option to delay investment up to <span class="html-italic">T</span> = 5 years.</p>
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<p>Exercise of the option to delay investment up to <span class="html-italic">T</span> = 1 year.</p>
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<p>Exercise of the option to abandon up to <span class="html-italic">T</span> = 5 years.</p>
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<p>Exercise of the option to abandon up to <span class="html-italic">T</span> = 1 year.</p>
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28972 KiB  
Review
A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development
by Fuad Un-Noor, Sanjeevikumar Padmanaban, Lucian Mihet-Popa, Mohammad Nurunnabi Mollah and Eklas Hossain
Energies 2017, 10(8), 1217; https://doi.org/10.3390/en10081217 - 17 Aug 2017
Cited by 569 | Viewed by 76318
Abstract
Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is [...] Read more.
Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace internal combustion engine (ICE) vehicles in the near future. Each of the main EV components has a number of technologies that are currently in use or can become prominent in the future. EVs can cause significant impacts on the environment, power system, and other related sectors. The present power system could face huge instabilities with enough EV penetration, but with proper management and coordination, EVs can be turned into a major contributor to the successful implementation of the smart grid concept. There are possibilities of immense environmental benefits as well, as the EVs can extensively reduce the greenhouse gas emissions produced by the transportation sector. However, there are some major obstacles for EVs to overcome before totally replacing ICE vehicles. This paper is focused on reviewing all the useful data available on EV configurations, battery energy sources, electrical machines, charging techniques, optimization techniques, impacts, trends, and possible directions of future developments. Its objective is to provide an overall picture of the current EV technology and ways of future development to assist in future researches in this sector. Full article
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<p>Major EV subsystems and their interactions. Some of the subsystems are very closely related while some others have moderated interactions. Data from [<a href="#B4-energies-10-01217" class="html-bibr">4</a>].</p>
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<p>Federal Urban Driving Schedule torque-speed requirements. Most of the driving is done in the 2200 to 4800 rpm range with significant amount of torque. Lower rpms require torques as high as 125 Nm; urban vehicles have to operate in this region regularly as they face frequent start-stops. Data from [<a href="#B4-energies-10-01217" class="html-bibr">4</a>].</p>
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<p>BEV configuration. The battery’s DC power is converted to AC by the inverter to run the motor. Adapted from [<a href="#B5-energies-10-01217" class="html-bibr">5</a>].</p>
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<p>Power flow among the basic building blocks of an HEV during various stages of a drive cycle. Adapted from [<a href="#B8-energies-10-01217" class="html-bibr">8</a>].</p>
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<p>Example of energy management strategy used in HEV. The controller splits power between the ICE and the motor by considering different input parameters. Adapted from [<a href="#B8-energies-10-01217" class="html-bibr">8</a>].</p>
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<p>FCEV configuration. Oxygen from air and hydrogen from the cylinders react in fuel cells to produce electricity that runs the motor. Only water is produced as by-product which is released in the environment.</p>
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<p>Pininfarina H2 Speed, a supercar employing hydrogen fuel cells.</p>
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<p>Advanced battery EV attribute and fuel cell EV attribute ratio for 320 km (colored blue) and 480 km (colored green) ranges, with assumptions of average US grid mix in 2010–2020 time-range and all hydrogen made from natural gas (values greater than one indicate a fuel cell EV advantage over the battery EV). Data from [<a href="#B22-energies-10-01217" class="html-bibr">22</a>].</p>
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<p>PFCV configuration. In addition to the fuel cells, this arrangement can directly charge the battery from a power outlet.</p>
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<p>EV subsystems. Adapted from [<a href="#B4-energies-10-01217" class="html-bibr">4</a>].</p>
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<p>Different front wheel drive EV configurations. (<b>a</b>) Front-wheel drive vehicle with the ICE replaced by an electric motor; (<b>b</b>) Vehicle configuration with the clutch omitted; (<b>c</b>) Configuration with motor, gear and differential combined as a single unit to drive the front wheels; (<b>d</b>) Configuration with individual motors with fixed fearing for the front wheels to obtain differential action; (<b>e</b>) Modified configuration of <a href="#energies-10-01217-f011" class="html-fig">Figure 11</a>d with the fixed gearing arrangement placed within the wheels; (<b>f</b>) Configuration with the mechanical gear system removed by mounting a low-speed motor on the wheel rim. Adapted from [<a href="#B4-energies-10-01217" class="html-bibr">4</a>].</p>
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<p>Tesla Model S, rear wheel drive configuration [<a href="#B22-energies-10-01217" class="html-bibr">22</a>,<a href="#B24-energies-10-01217" class="html-bibr">24</a>]. (Reprint with permission [<a href="#B24-energies-10-01217" class="html-bibr">24</a>]; 2017, Tesla.)</p>
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<p>Tesla Model S, all-wheel drive configuration [<a href="#B24-energies-10-01217" class="html-bibr">24</a>]. (Reprint with permission [<a href="#B24-energies-10-01217" class="html-bibr">24</a>]; 2017, Tesla.)</p>
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<p>Hiriko Fold—a vehicle employing in-wheel motors.</p>
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<p>Experimental vehicle with W-IWM system by Sato et al. [<a href="#B26-energies-10-01217" class="html-bibr">26</a>]. (Reprint with permission [<a href="#B26-energies-10-01217" class="html-bibr">26</a>]; 2015, IEEE.)</p>
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<p>Conventional and wireless IWM. In the wireless setup, coils are used instead of wires to transfer power from battery to the motor. Adapted from [<a href="#B26-energies-10-01217" class="html-bibr">26</a>].</p>
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<p>W-IWM setup showing efficiency at 100% torque reference. Adapted from [<a href="#B26-energies-10-01217" class="html-bibr">26</a>].</p>
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<p>Drive train of series hybrid system. The engine is used to generate electricity only and supply to the motor through a rectifier. Power from the battery goes to the motor through a DC-DC converter [<a href="#B30-energies-10-01217" class="html-bibr">30</a>].</p>
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<p>Drive train of parallel hybrid system. The engine and the motor both can run the can through the mechanical coupling [<a href="#B30-energies-10-01217" class="html-bibr">30</a>].</p>
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<p>Planetary gear system [<a href="#B31-energies-10-01217" class="html-bibr">31</a>].</p>
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<p>Drive train of series-parallel hybrid system using planetary gear unit. The planetary gear unit combines the engine, the generator and the motor [<a href="#B30-energies-10-01217" class="html-bibr">30</a>].</p>
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<p>Drive train of series-parallel hybrid system using transmotor. The planetary gear system is absent in this arrangement [<a href="#B30-energies-10-01217" class="html-bibr">30</a>].</p>
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<p>Input split e-CVT system. Adapted from [<a href="#B32-energies-10-01217" class="html-bibr">32</a>].</p>
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<p>Compound split e-CVT system. Adapted from [<a href="#B32-energies-10-01217" class="html-bibr">32</a>].</p>
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<p>Structure for four-wheel drive HEV [<a href="#B32-energies-10-01217" class="html-bibr">32</a>]. This particular system uses a vehicle controller which employs a number of sensors to perceive the driving condition and keeps the vehicle stable by controlling the brake control and the motor control units.</p>
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<p>Battery cell arrangement in a battery pack. Cooling tubes are used to dissipate the heat generated in the battery cells.</p>
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<p>Equalizer configurations: (<b>a</b>) Resistive equalizer, extra power from any cell is burned up in the resistance; (<b>b</b>) Capacitive equalizer, excess energy is transferred to lower energy cells by switching of capacitors.</p>
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<p>Inductive equalizer configurations: (<b>a</b>) Basic; (<b>b</b>) Cuk; (<b>c</b>) Transformer based; (<b>d</b>) Multiple transformers based. Excess energy is transferred to lower energy cells by using inductors.</p>
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<p>Inductive equalizer configurations: (<b>a</b>) Basic; (<b>b</b>) Cuk; (<b>c</b>) Transformer based; (<b>d</b>) Multiple transformers based. Excess energy is transferred to lower energy cells by using inductors.</p>
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<p>An UC cell; a separator keeps the two electrodes apart [<a href="#B58-energies-10-01217" class="html-bibr">58</a>].</p>
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<p>Combination of battery and UC to complement each-other’s shortcomings [<a href="#B59-energies-10-01217" class="html-bibr">59</a>].</p>
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<p>Working principle of fuel cell. Fuel and oxygen is taken in, exhaust and current is generated as the products of chemical reaction. Adapted from [<a href="#B4-energies-10-01217" class="html-bibr">4</a>].</p>
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<p>Hydrogen fuel cell configuration. Hydrogen is used as the fuel which reacts with oxygen and produces water and current as products. Adapted from [<a href="#B35-energies-10-01217" class="html-bibr">35</a>].</p>
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<p>A flywheel used in the Formula One racing kinetic energy recovery system (KERS).</p>
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<p>Basic flywheel components. The flywheel is suspended in tis hosing by bearings, and is connected to a motor-generator to store and supply energy [<a href="#B61-energies-10-01217" class="html-bibr">61</a>].</p>
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<p>Characteristics of a Permanent Magnet Brushless DC Motor. The torque remains constant at the maximum right from the start, but starts to decrease exponentially for speeds over the base speed.</p>
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<p>Induction motor drive characteristics. Maximum torque is maintained till base speed, and then decreases exponentially. Adapted from [<a href="#B4-energies-10-01217" class="html-bibr">4</a>].</p>
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<p>SynRM with axially laminated rotor [<a href="#B23-energies-10-01217" class="html-bibr">23</a>].</p>
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<p>Permanent magnet (PM) assisted SynRM. Permanent magnets are embedded in the rotor [<a href="#B23-energies-10-01217" class="html-bibr">23</a>].</p>
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<p>Typical placements of different converters in an EV. AC-DC converter transforms the power from grid to be stored in the storage through another stage of DC-DC conversion. Power is supplied to the motor from the storage through the DC-DC converter and the motor drives [<a href="#B72-energies-10-01217" class="html-bibr">72</a>].</p>
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<p>Detailed classification of converters. Data from [<a href="#B92-energies-10-01217" class="html-bibr">92</a>,<a href="#B93-energies-10-01217" class="html-bibr">93</a>].</p>
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<p>Universal DC-DC converter [<a href="#B72-energies-10-01217" class="html-bibr">72</a>].</p>
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<p>Dual inverter for single source [<a href="#B72-energies-10-01217" class="html-bibr">72</a>].</p>
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<p>Dual inverter with dual sources [<a href="#B72-energies-10-01217" class="html-bibr">72</a>].</p>
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<p>Novel stacked matrix inverter as shown in [<a href="#B97-energies-10-01217" class="html-bibr">97</a>].</p>
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<p>Interleaved Boost PFC Converter [<a href="#B46-energies-10-01217" class="html-bibr">46</a>].</p>
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<p>Bridgeless/Dual Boost PFC Converter. Adapted from [<a href="#B46-energies-10-01217" class="html-bibr">46</a>].</p>
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<p>Bridgeless Interleaved Boost PFC Converter [<a href="#B46-energies-10-01217" class="html-bibr">46</a>].</p>
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<p>ZVS FB Converter with Capacitive Output Filter [<a href="#B46-energies-10-01217" class="html-bibr">46</a>].</p>
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<p>Interleaved ZVS FB Converter with Voltage Doubler [<a href="#B46-energies-10-01217" class="html-bibr">46</a>].</p>
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<p>Full Bridge LLC Resonant Converter. Adapted from [<a href="#B46-energies-10-01217" class="html-bibr">46</a>].</p>
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<p>Converter placement in a pure EV [<a href="#B35-energies-10-01217" class="html-bibr">35</a>]. The charger has an AC-DC converter to supply DC to the battery from the grid, whereas the DC-DC converter converts the battery voltage into a value required to drive the motor.</p>
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<p>Cascaded converter to use in PHEV. Adapted from [<a href="#B35-energies-10-01217" class="html-bibr">35</a>]. A bidirectional DC-DC converter is used between the DC bus and the battery pack to allow regenerated energy to flow back to the battery from the motor.</p>
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<p>Integrated converter used in PHEV [<a href="#B35-energies-10-01217" class="html-bibr">35</a>].</p>
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<p>Converter arrangement in PFCV. Adapted from [<a href="#B35-energies-10-01217" class="html-bibr">35</a>]. An AC-DC converter is used to convert the power from the grid; DC-DC converter is used for power exchange between the DC bus and battery; boost converter is used to make the voltage generated from the fuel cell stack suitable for the DC bus.</p>
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<p>Integrated bidirectional AC/DC-DC/DC converter [<a href="#B33-energies-10-01217" class="html-bibr">33</a>].</p>
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<p>Converter arrangements as shown in [<a href="#B94-energies-10-01217" class="html-bibr">94</a>]: (<b>a</b>) Cascaded connection; (<b>b</b>) Parallel connection; (<b>c</b>) Fuel cell with battery backup. Adapted from [<a href="#B94-energies-10-01217" class="html-bibr">94</a>].</p>
Full article ">Figure 56 Cont.
<p>Converter arrangements as shown in [<a href="#B94-energies-10-01217" class="html-bibr">94</a>]: (<b>a</b>) Cascaded connection; (<b>b</b>) Parallel connection; (<b>c</b>) Fuel cell with battery backup. Adapted from [<a href="#B94-energies-10-01217" class="html-bibr">94</a>].</p>
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<p>Low frequency AC-High frequency AC-DC converter, also called single-stage converter [<a href="#B113-energies-10-01217" class="html-bibr">113</a>].</p>
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<p>Low frequency AC-DC-High frequency AC-DC converter, also called two-stage converter. Adapted from [<a href="#B113-energies-10-01217" class="html-bibr">113</a>].</p>
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<p>Double D arrangement for WPT. Fluxes generated in one coil cut the other one and induces a voltage there, enabling power transfer between the coils without any wired connection [<a href="#B27-energies-10-01217" class="html-bibr">27</a>].</p>
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<p>Different configurations used for wireless power transfer over the years: (<b>a</b>) Inductive WPT; (<b>b</b>) Capacitive WPT; (<b>c</b>) Low frequency permanent magnet coupling power transfer (PMPT); (<b>d</b>) Resonant antennae power transfer (RAPT); (<b>e</b>) Resonant inductive power transfer (RIPT); (<b>f</b>) Online power transfer (OLPT).</p>
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<p>A short list of the impacts of EVs on the power grid, environment and economy.</p>
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<p>VPP architecture and control [<a href="#B117-energies-10-01217" class="html-bibr">117</a>].</p>
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<p>Wind and solar integration in the grid with the help of EV in V2G system. TSO stands for transmission system organization; DSO for distribution system organization; T1 to T4 represent the transformers coupling the generation, transmission, and distribution stages [<a href="#B117-energies-10-01217" class="html-bibr">117</a>].</p>
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<p>Social, technological, and economic problems faced by EVs.</p>
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<p>Forces acting on the wheels of a car. Each of the wheels experience forces in all three directions, marked with the ‘F’ vectors. L<sub>f</sub> and L<sub>r</sub> show the distances of front and rear axles from the center of the vehicle, while T<sub>r</sub> shows the distance between the wheels of an axle. Adapted from [<a href="#B25-energies-10-01217" class="html-bibr">25</a>].</p>
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<p>Main working components of the driving control system for four-wheel-drive EVs proposed by Juyong Kang et al. The driving control algorithm takes the driver’s inputs, and then determines the actions of the brakes and the motors according to the control mode [<a href="#B177-energies-10-01217" class="html-bibr">177</a>].</p>
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<p>Working principle of the control system proposed by Kang et al. The system uses both the driver’s commands and sensor measurements as inputs, and then drives the actuators as determined by the three level control algorithms. Adapted from [<a href="#B177-energies-10-01217" class="html-bibr">177</a>].</p>
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<p>Working principle of vehicle stability system proposed by Tahami et al. A neural network was used in the yaw reference generator [<a href="#B25-energies-10-01217" class="html-bibr">25</a>].</p>
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<p>Independent torque control system proposed by Wang et al., Differential drive assisted steering (DDAS) subsystem and direct yaw moment control subsystem creates the upper layer. The traction control subsystem processes the inputs, and the controlling is done through the lower layer [<a href="#B178-energies-10-01217" class="html-bibr">178</a>].</p>
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<p>Working principle of the SOC measuring algorithm proposed by Zhou et al. [<a href="#B180-energies-10-01217" class="html-bibr">180</a>].</p>
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<p>Transition of the operating modes of the vehicle used in [<a href="#B181-energies-10-01217" class="html-bibr">181</a>] by Hui et al. From engine start to shutdown through stops, the vehicle can use either the hydraulic or the electric system, or it can use both.</p>
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<p>Operating principle of the control system proposed by Hui et al. The control strategy drives the actuating systems according to the decisions made from the sensor inputs. Adapted from [<a href="#B181-energies-10-01217" class="html-bibr">181</a>].</p>
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<p>Intelligent charging algorithm proposed by Su et al., for a municipal charging station [<a href="#B186-energies-10-01217" class="html-bibr">186</a>].</p>
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<p>Flowchart of the management system proposed by Mohamed et al. [<a href="#B187-energies-10-01217" class="html-bibr">187</a>].</p>
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<p>Top ten EVs in China in 2016 according to the number of units sold. Data from [<a href="#B190-energies-10-01217" class="html-bibr">190</a>].</p>
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<p>Top ten best-selling EVs globally in 2016. Data from [<a href="#B191-energies-10-01217" class="html-bibr">191</a>].</p>
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<p>Top ten best-selling EVs in the USA in 2016. Data from [<a href="#B192-energies-10-01217" class="html-bibr">192</a>].</p>
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<p>BEV market shares in Europe in 2016. Data from [<a href="#B193-energies-10-01217" class="html-bibr">193</a>].</p>
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<p>PHEV market shares in Europe in 2016. Data from [<a href="#B193-energies-10-01217" class="html-bibr">193</a>].</p>
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<p>Major trends and sectors for future developments for EV.</p>
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4409 KiB  
Article
A Methodology for Determining Permissible Operating Region of Power Systems According to Conditions of Static Stability Limit
by Van Duong Ngo, Dinh Duong Le, Kim Hung Le, Van Kien Pham and Alberto Berizzi
Energies 2017, 10(8), 1163; https://doi.org/10.3390/en10081163 - 17 Aug 2017
Cited by 5 | Viewed by 4098
Abstract
For power systems with long-distance ultra-high-voltage (UHV) transmission lines, power transmission limits are often determined by static stability limits. Therefore, the assessment of stability and finding solutions to improve the stability reserve are essential for the operation of the system. This article presents [...] Read more.
For power systems with long-distance ultra-high-voltage (UHV) transmission lines, power transmission limits are often determined by static stability limits. Therefore, the assessment of stability and finding solutions to improve the stability reserve are essential for the operation of the system. This article presents an analytical approach to construct limit characteristics according to static stability conditions on a power plane. Based on the approach proposed, a program is developed and tested on a system with long-distance UHV transmission lines, showing a good performance. Full article
(This article belongs to the Special Issue Distributed and Renewable Power Generation)
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Figure 1
<p><span class="html-italic">P</span>-<span class="html-italic">Q</span> curve on power plane.</p>
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<p>Simplified equivalent diagram.</p>
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<p>Algorithm for drawing the characteristics of the stability limit.</p>
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<p>Six bus power system.</p>
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<p>Equivalent diagram of the six bus power system.</p>
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<p>Diagram of the six-bus power system in the program.</p>
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<p><span class="html-italic">P-Q</span> curve plotted for Bus 3 in a stable state.</p>
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<p><span class="html-italic">P</span>-<span class="html-italic">Q</span> curve plotted for Bus 3 in an unstable state.</p>
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<p>Operating region at Bus 5.</p>
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<p>Operating region at Bus 6.</p>
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<p>Operating region at Bus 3.</p>
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<p>Operating region at Bus 3 when adjusting <span class="html-italic">Q</span><sub>3max</sub>.</p>
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<p>Operating region at Bus 3 when adjusting <span class="html-italic">P</span><sub>2<span class="html-italic">f</span></sub>.</p>
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<p>Operating region at Bus 3 when adjusting the load at Bus 6.</p>
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<p>Calculating the stability reserve ratios for the operating region at Bus 3.</p>
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9222 KiB  
Review
Recent Advances in the Quest for a New Insulation Gas with a Low Impact on the Environment to Replace Sulfur Hexafluoride (SF6) Gas in High-Voltage Power Network Applications
by Abderrahmane Beroual and Abderrahmane (Manu) Haddad
Energies 2017, 10(8), 1216; https://doi.org/10.3390/en10081216 - 16 Aug 2017
Cited by 204 | Viewed by 10483
Abstract
The growing environmental challenge of electrical energy systems has prompted a substantial increase in renewable energy generation. Such generation systems allow for significant reduction of CO2 emissions compared with a traditional fossil fuel plant. Furthermore, several improvements in power systems network configuration [...] Read more.
The growing environmental challenge of electrical energy systems has prompted a substantial increase in renewable energy generation. Such generation systems allow for significant reduction of CO2 emissions compared with a traditional fossil fuel plant. Furthermore, several improvements in power systems network configuration and operation combined with new technologies have enabled reduction of losses and energy demand, thus contributing to reduction of CO2 emissions. Another environmental threat identified in electrical networks is the leaking of insulating sulfur hexafluoride (SF6) gas used in electrical gas insulated substations (GIS) and equipment. Because of its Global Warming Potential (GWP) of nearly 24,000 and its long life in the atmosphere (over 3000 years), SF6 gas was recognized as a greenhouse gas at the 1997 COP3; since then its use and emissions in the atmosphere have been regulated by international treaties. It is expected that as soon as an alternative insulating gas is found, SF6 use in high-voltage (HV) equipment will be banned. This paper presents an overview of the key research advances made in recent years in the quest to find eco-friendly gases to replace SF6. The review reports the main properties of candidate gases that are being investigated; in particular, natural gases (dry air, N2 or CO2) and polyfluorinated gases especially Trifluoroiodomethane (CF3I), Perfluorinated Ketones, Octafluorotetra-hydrofuran, Hydrofluoroolefin (HFOs), and Fluoronitriles are presented and their strengths and weaknesses are discussed with an emphasis on their dielectric properties (especially their dielectric strength), GWP, and boiling point with respect to the minimum operating temperature for HV power network applications. Full article
(This article belongs to the Section F: Electrical Engineering)
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Figure 1
<p>Paschen curves for some fluoroalkanes [<a href="#B14-energies-10-01216" class="html-bibr">14</a>].</p>
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<p>Topology (<b>a</b>) and formulation (<b>b</b>) of trifluoroiodomethane.</p>
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<p>Breakdown voltage characteristics of CF<sub>3</sub>I-CO<sub>2</sub> mixtures in a sphere-sphere electrodes geometry in positive (<b>a</b>) and negative (<b>b</b>) polarity: the diameter of sphere is 50.8 mm and the electrode gap is 10 mm [<a href="#B34-energies-10-01216" class="html-bibr">34</a>]; the <span class="html-italic">y</span>-axis indicates the absolute values of 50% breakdown voltage.</p>
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<p>Effective ionization coefficients in various gases (Air, SF<sub>6</sub> and CF<sub>3</sub>I,) and gas mixtures (30/70% CF<sub>3</sub>I/N<sub>2</sub> and 30/70% CF<sub>3</sub>I/CO<sub>2</sub>) [<a href="#B35-energies-10-01216" class="html-bibr">35</a>].</p>
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<p>Molecular structure of two fluoroketones, <math display="inline"> <semantics> <mrow> <msub> <mi mathvariant="normal">C</mi> <mn>5</mn> </msub> <msub> <mi mathvariant="normal">F</mi> <mrow> <mn>10</mn> </mrow> </msub> <mi mathvariant="normal">O</mi> </mrow> </semantics> </math> (<b>left</b>) <math display="inline"> <semantics> <mrow> <msub> <mi mathvariant="normal">C</mi> <mn>6</mn> </msub> <msub> <mi mathvariant="normal">F</mi> <mrow> <mn>12</mn> </mrow> </msub> <mi mathvariant="normal">O</mi> <mtext> </mtext> </mrow> </semantics> </math> (<b>right</b>).</p>
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<p>(<b>a</b>) Graph of the saturated vapor pressure as a function of the temperature of some complex fluorinated gases; (<b>b</b>) dependence of the boiling point on the molar mass of selected gas molecules [<a href="#B38-energies-10-01216" class="html-bibr">38</a>].</p>
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<p>Relative dielectric strength as a function of boiling temperature at 1 bar [<a href="#B39-energies-10-01216" class="html-bibr">39</a>].</p>
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<p>3D representation of fluoronitriles (CF<sub>3</sub>)<sub>2</sub>CFCN dielectric fluid.</p>
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<p>Saturating vapor pressure of fluoronitriles (left vertical axis) and CO<sub>2</sub> (right vertical axis) vs. temperature.</p>
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<p>Degradation byproducts and thermal stability of the dielectric fluid (CF<sub>3</sub>)<sub>2</sub>CFCN analyzed by infrared spectroscopy (FTIR) [<a href="#B50-energies-10-01216" class="html-bibr">50</a>].</p>
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<p>Dielectric performances of fluorinated nitriles [<a href="#B59-energies-10-01216" class="html-bibr">59</a>]: (<b>a</b>) Configuration: sphere-sphere (diameter = 1 inch); (<b>b</b>) configuration: rod (d = 0.1 inch)-sphere (D = 1 inch).</p>
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<p>AC breakdown voltage of fluoronitrile/CO<sub>2</sub> mixtures, SF<sub>6</sub> at 0.1 MPa and 20 °C, in sphere-to-sphere configuration referred to plane-to-plane configuration [<a href="#B58-energies-10-01216" class="html-bibr">58</a>].</p>
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<p>Negative LI breakdown voltages of 3.7% fluoronitriles/96.7% CO<sub>2</sub> mixture and pure SF<sub>6</sub> at different pressures versus the sphere-to-plane electrodes gap [<a href="#B58-energies-10-01216" class="html-bibr">58</a>].</p>
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2470 KiB  
Article
Studies on the Effect of Nano-Sized MgO in Magnesium-Ion Conducting Gel Polymer Electrolyte for Rechargeable Magnesium Batteries
by Na Wu, Wei Wang, Yu Wei and Taohai Li
Energies 2017, 10(8), 1215; https://doi.org/10.3390/en10081215 - 16 Aug 2017
Cited by 20 | Viewed by 4491
Abstract
Magnesium-ion conducting gel polymer electrolytes (GPEs) with different contents of nano-sized MgO have been prepared and investigated by various electrical and electrochemical techniques. The Mg2+ ion conduction in GPEs was confirmed from cyclic voltammetry and impedance analysis. It was found that doping [...] Read more.
Magnesium-ion conducting gel polymer electrolytes (GPEs) with different contents of nano-sized MgO have been prepared and investigated by various electrical and electrochemical techniques. The Mg2+ ion conduction in GPEs was confirmed from cyclic voltammetry and impedance analysis. It was found that doping appropriate nano-sized MgO in the GPE can induce significant improvements in both the electrochemical and the mechanical properties of GPEs. The composite GPE with 7% MgO shows a high ionic conductivity of 4.6 × 10−3 S/cm with electrochemical stability up to 4.7 V versus Mg2+/Mg at room temperature. Furthermore, it is free-standing and flexible with high tensile strength (9.7 ± 0.1 MPa) and elongation at break (91.7 ± 0.2%), further ensuring their potential applications as GPEs for rechargeable Mg batteries. Full article
(This article belongs to the Section I: Energy Fundamentals and Conversion)
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Figure 1
<p>The scanning electronic microscopy (SEM) images of the membranes with nano-sized MgO: (<b>a</b>) 0 wt %; (<b>b</b>) 1 wt %; (<b>c</b>) 3 wt %; and (<b>d</b>) 7 wt %.</p>
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<p>The Fourier transform infrared spectrometer (FTIR) spectra of the samples: (<b>a</b>) the membranes without MgO fillers, (<b>b</b>–<b>h</b>) the gel polymer electrolytes (GPEs) with different content of nano-sized MgO; (<b>b</b>) 0%; (<b>c</b>) 1%; (<b>d</b>) 3%; (<b>e</b>) 5%; (<b>f</b>) 7%; (<b>g</b>) 10%; and (<b>h</b>) 15%.</p>
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<p>The differential scanning calorimeter (DSC) curves of the membranes with different content of MgO. (<b>b</b>) 0%; (<b>c</b>) 1%; (<b>d</b>) 3%; (<b>e</b>) 5%; (<b>f</b>) 7%; and (<b>g</b>) 10%.</p>
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<p>The stress–strain curves of the films with different content of MgO: (<b>a</b>) 0 wt %; (<b>b</b>) 1 wt %; (<b>c</b>) 3 wt %; (<b>d</b>) 5 wt %; (<b>e</b>) 7 wt %; (<b>f</b>) 10 wt %; and (<b>g</b>) 15 wt %.</p>
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<p>The uptake behavior of the membranes with different content of MgO: (<b>a</b>) 0 wt %; (<b>b</b>) 1 wt %; (<b>c</b>) 3 wt %; (<b>d</b>) 5 wt %; (<b>e</b>) 7 wt %; (<b>f</b>) 10 wt %; and (<b>g</b>) 15 wt %.</p>
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<p>The variation of room-temperature conductivity of the GPEs with different contents of nano-MgO.</p>
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<p>The variation of ionic conductivity with temperature of the GPEs with different contents of nano-MgO.</p>
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<p>Cyclicvoltammograms (CVs): (<b>a</b>) GPE with MgO 0 wt % in the SS/GPE/SS cell; (<b>b</b>–<b>f</b>) GPEs with different content of MgO in the Mg/GPE/Mg cell; (<b>b</b>) 0 wt %; (<b>c</b>) 1 wt %; (<b>d</b>) 3 wt %; (<b>e</b>) 5 wt %; (<b>f</b>) 7 wt %; and (<b>g</b>) 10 wt %.</p>
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<p>Linear sweep voltammograms (LSVs) of the GPEs with different content of MgO: (<b>b</b>) 0 wt %; (<b>c</b>) 1 wt %; (<b>d</b>) 3 wt %; (<b>e</b>) 5 wt %; (<b>f</b>) 7 wt %; and (<b>g</b>) 10 wt %.</p>
Full article ">
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