Abstract
We propose a Decision-Guided Energy Investment (DGEI) Framework to optimize power, heating, and cooling capacity. The DGEI framework is designed to support energy managers to (1) use the analytical and graphical methodology to determine the best investment option that satisfies the designed evaluation parameters, such as return on investment (ROI) and greenhouse gas (GHG) emissions; (2) develop a DGEI optimization model to solve energy investment problems that the operating expenses are minimal in each considered investment option; (3) implement the DGEI optimization model using the IBM Optimization Programming Language (OPL) with historical and projected energy demand data, i.e., electricity, heating, and cooling, to solve energy investment optimization problems; and (4) conduct an experimental case study for a university campus microgrid and utilize the DGEI optimization model and its OPL implementations, as well as the analytical and graphical methodology to make an investment decision and to measure trade-offs among cost savings, investment costs, maintenance expenditures, replacement charges, operating expenses, GHG emissions, and ROI for all the considered options.
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Appendix: Abbreviation
Appendix: Abbreviation
Abbreviation | Full Name | Abbreviation | Full Name |
---|---|---|---|
CHCP | Centralized Heating and Cooling Plant | ES | Electricity Supply |
CO2 | Carbon Dioxide | FCWA | Fairfax County Water Authority |
CoGen | Cogeneration | FMD | Facilities Management Department |
DGEI | Decision-Guided Energy Investment | GHG | Greenhouse Gas |
DVPC | Dominion Virginia Power Company | MILP | Mixed Integer Linear Programming |
EC | EnergyConnect | MINLP | Mixed Integer Non-Linear Programming |
ECU | Energy Contractual Utility | NOx | Mono-Nitrogen Oxide |
EFD | Energy Future Demand | OPL | Optimization Programming Language |
EFE | Energy Facility Expansion | QoS | Quality of Service |
EGP | Energy Generation Process | ROI | Return On Investment |
EHD | Energy Historical Demand | WGLC | Washington Gas Light Company |
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Ngan, CK., Brodsky, A., Egge, N., Backus, E. (2014). Optimizing Power, Heating, and Cooling Capacity on a Decision-Guided Energy Investment Framework. In: Hammoudi, S., Cordeiro, J., Maciaszek, L., Filipe, J. (eds) Enterprise Information Systems. ICEIS 2013. Lecture Notes in Business Information Processing, vol 190. Springer, Cham. https://doi.org/10.1007/978-3-319-09492-2_10
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