A Decision-Guided Energy Framework for Optimal Power, Heating, and Cooling Capacity Investment

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

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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Paper Citation


in Harvard Style

Ngan C., Brodsky A., Egge N. and Backus E. (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


in Bibtex Style

@conference{iceis13,
author={Chun-Kit Ngan and Alexander Brodsky and Nathan Egge and Erik Backus},
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},
}


in EndNote Style

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 - Egge N.
AU - Backus E.
PY - 2013
SP - 357
EP - 369
DO - 10.5220/0004447503570369