A decision-guided energy framework for optimal power, heating, and cooling capacity investment

Chun-kit Ngan, Alexander Brodsky, Nathan Egge, Erik Backus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 tradeoffs among cost savings, investment costs, maintenance expenditures, replacement charges, operating expenses, GHG emissions, and ROI for all the considered options.

Original languageEnglish (US)
Title of host publicationICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems
Pages357-369
Number of pages13
Volume1
StatePublished - Nov 21 2013
Event15th International Conference on Enterprise Information Systems, ICEIS 2013 - Angers, France
Duration: Jul 4 2013Jul 7 2013

Other

Other15th International Conference on Enterprise Information Systems, ICEIS 2013
Country/TerritoryFrance
CityAngers
Period7/4/137/7/13

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management

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