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Authors: Chun-Kit Ngan ; Alexander Brodsky ; Erik Backus and Nathan Egge

Affiliation: George Mason University, United States

ISBN: 978-989-8565-59-4

Keyword(s): Decision Guidance, Energy Investment, Optimization Model.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Group Decision Support Systems ; Industrial Applications of Artificial Intelligence ; Operational Research ; Problem Solving ; Scheduling and Planning ; Strategic Decision Support Systems

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 deci sion 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. (More)

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Paper citation in several formats:
Ngan C., Brodsky A., Backus E. and Egge N. (2013). A Decision-Guided Energy Framework for Optimal Power, Heating, and Cooling Capacity Investment.In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 357-369. DOI: 10.5220/0004447503570369

@conference{iceis13,
author={Chun-Kit Ngan and Alexander Brodsky and Erik Backus and Nathan Egge},
title={A Decision-Guided Energy Framework for Optimal Power, Heating, and Cooling Capacity Investment},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={357-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004447503570369},
isbn={978-989-8565-59-4},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Decision-Guided Energy Framework for Optimal Power, Heating, and Cooling Capacity Investment
SN - 978-989-8565-59-4
AU - Ngan C.
AU - Brodsky A.
AU - Backus E.
AU - Egge N.
PY - 2013
SP - 357
EP - 369
DO - 10.5220/0004447503570369

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