Configuration Selection for Renewable Energy Community Using MCDM Methods

Hamza Gribiss (), Mohammad Mohsen Aghelinejad and Farouk Yalaoui
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Hamza Gribiss: Laboratory of Computer Science and Digital Society (LIST3N), University of Technology of Troyes, 10000 Troyes, France
Mohammad Mohsen Aghelinejad: Laboratory of Computer Science and Digital Society (LIST3N), University of Technology of Troyes, 10000 Troyes, France
Farouk Yalaoui: Laboratory of Computer Science and Digital Society (LIST3N), University of Technology of Troyes, 10000 Troyes, France

Energies, 2023, vol. 16, issue 6, 1-23

Abstract: By 2050, the European Union plans to make Europe the first carbon-neutral continent and a global leader in climate-green industries. Recently, many decisions have been taken in the world to ensure the energy transition from fossil fuel to renewable energy. The creation of renewable energy communities (REC) is among the solutions used to increase this transition. This study presents 16 different configurations for energy self-consumption in RECs containing different industrial factories. One mathematical model is proposed for each configuration, and they have been solved according to different criteria. The comparisons are made between these configurations according to economic, environmental, technical, and social criteria. Then, four multi-criteria decision-making (MCDM) methods are used to choose the best configurations considering all the criteria. For this purpose, the achieved results from the mathematical models are used as input for the MCDM methods. The findings demonstrate that the most effective configurations combine both individual and collective self-consumption. Furthermore, the inclusion of collective production results in multiple advantages, including a 64.71% rise in economic gains, a 26.95% decrease in CO 2 emissions, a 21.39% improvement in self-sufficiency, and a significant increase in job creation by 175.24%. In addition, incorporating storage enables a substantial rise in the degree of self-sufficiency, leading to reduced reliance on the power grid and consequent reduction in CO 2 emissions.

Keywords: multi-criteria decision-making (MCDM); mathematical modeling; optimization; energy self-consumption; renewable energy community (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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