A Techno-economic feasibility study of a green energy initiative for a university campus
Author(s): Riad Chedid, Ahmad Sawwas
Digital Object Identifier: 10.12720/sgce.10.3.203-214
Keywords: Energy economics, genetic algorithm, microgrid optimal design, rule-based energy management system
Departement of Electrical Engineering, Universitas Indonesia, Depok 16424, Indonesia
International Journal of Smart Grid and Clean Energy, vol. 10, no. 3, July 2021: pp. 203-214Digital Object Identifier: 10.12720/sgce.10.3.203-214
Abstract: This paper proposes a novel methodology to redesign the power supply of a university campus characterized by a heavy reliance on diesel generators due to the grid unreliable power supply. The optimized design aims to phase out diesel generators and replace them with a hybrid clean energy system composed of photovoltaics and a battery storage system. A Genetic Algorithm approach is used to optimally size such a system, whereas the optimized energy dispatch is achieved through a rule-based energy management system. The study reveals that the implementation of clean technologies yields significant reduction in the system’s operational cost. The impact of major parameters influencing the economics of the proposed system is assessed through a sensitivity analysis conducted over a 10-year period.
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Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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