Esmaeili Aliabadi, Danial and Çelebi, Emre and Elhüseyni, Murat and Şahin, Güvenç (2021) Modeling, simulation, and decision support. In: Pinto, Tiago and Vale, Zita and Widergren, Steve, (eds.) Local Electricity Markets. Elsevier, pp. 177-197. ISBN 9780128200742
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Official URL: https://dx.doi.org/10.1016/B978-0-12-820074-2.00017-4
Abstract
Energy markets are intertwined and complex systems that influence and are affected by various sectors such as transportation, industry, and electric power. Solely focusing on the power sector without considering the up-and downstream of the supply chain may produce misleading results. For instance, the mixture of primary energy carriers and the procurement source affect the generation cost of electricity and consequently may alter the decisions of generation companies about future investments. Therefore researchers should carefully decide a reasonable trade-off between complexity and simplicity based on the determined level of detail and questions at hand. In this section, top-down and bottom-up modeling approaches are discussed, with their corresponding pros and cons, in the broader context of energy markets. Then, we focus on different modeling techniques in the established electricity markets. Finally, we demonstrate the unique modeling challenges that should be dealt with in emerging local electricity markets.
Item Type: | Book Section / Chapter |
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Uncontrolled Keywords: | Bottom-up engineering approach; Energy markets; Optimization models; Simulation; Top-down macroeconomic approach |
Divisions: | Faculty of Engineering and Natural Sciences |
Depositing User: | Güvenç Şahin |
Date Deposited: | 22 Aug 2022 16:30 |
Last Modified: | 22 Aug 2022 16:30 |
URI: | https://research.sabanciuniv.edu/id/eprint/44144 |