Nothing Special   »   [go: up one dir, main page]

Sivaneasan et al., 2014 - Google Patents

Preemptive demand response management for buildings

Sivaneasan et al., 2014

View PDF
Document ID
9526851524526696822
Author
Sivaneasan B
Kumar K
Tan K
So P
Publication year
Publication venue
IEEE Transactions on Sustainable Energy

External Links

Snippet

A building energy management system (BEMS), which forms an integral part of a smart grid, enables building operators to monitor, manage, and control the energy utilized in their buildings, thus reducing the demand and consumption of energy. Building operators are …
Continue reading at dr.ntu.edu.sg (PDF) (other versions)

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/20End-user application control systems
    • Y04S20/22The system characterised by the aim of the control
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/20End-user application control systems
    • Y04S20/24The system characterised by the end-user application
    • Y04S20/242The system characterised by the end-user application the end-user application being or involving home appliances
    • Y04S20/244The system characterised by the end-user application the end-user application being or involving home appliances the home appliances being or involving heating ventilating and air conditioning [HVAC] units
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"

Similar Documents

Publication Publication Date Title
Sivaneasan et al. Preemptive demand response management for buildings
Arun et al. Intelligent residential energy management system for dynamic demand response in smart buildings
Shao et al. Grid integration of electric vehicles and demand response with customer choice
Pedrasa et al. Scheduling of demand side resources using binary particle swarm optimization
Roldán-Blay et al. Improving the benefits of demand response participation in facilities with distributed energy resources
Tang et al. A model-based predictive dispatch strategy for unlocking and optimizing the building energy flexibilities of multiple resources in electricity markets of multiple services
Sivaneasan et al. A new demand response algorithm for solar PV intermittency management
WO2014034391A1 (en) Energy control system, server, energy control method and storage medium
US20130311236A1 (en) System, method and computer program for energy consumption management
Shi et al. Evaluating microgrid management and control with an implementable energy management system
WO2012145563A1 (en) Methods, apparatus and systems for managing energy assets
Ponoćko et al. Multi-objective demand side management at distribution network level in support of transmission network operation
JP2014096866A (en) Energy management system, energy management method, program, and server device
Liang et al. Safe reinforcement learning-based resilient proactive scheduling for a commercial building considering correlated demand response
Sarikprueck et al. Bounds for optimal control of a regional plug-in electric vehicle charging station system
Murugaperumal et al. Integrated energy management system employing pre-emptive priority based load scheduling (PEPLS) approach at residential premises
Radhakrishnan et al. Load scheduling for smart energy management in residential buildings with renewable sources
Ullah et al. A survey of home energy management for residential customers
Liang et al. Economic MPC-based smart home scheduling with comprehensive load types, real-time tariffs, and intermittent DERs
Li et al. Predicting HVAC energy consumption in commercial buildings using multiagent systems
Aduda et al. Towards critical performance considerations for using office buildings as a power flexibility resource-a survey
Yang et al. Bi-level decentralized control of electric heating loads considering wind power accommodation in real-time electricity market
Roche et al. A multi-agent model and strategy for residential demand response coordination
Amadeh et al. Building cluster demand flexibility: An innovative characterization framework and applications at the planning and operational levels
Kumar et al. The positive and negative impact of novel utility demand response programme and stochastic utility-driven events on renewable penetration and flexibility activation of train and station systems