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Impact of Different Regulatory Structures on the Management of Energy Communities

Jordi de la Hoz (), Àlex Alonso (), Sergio Coronas (), Helena Martín () and José Matas ()
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Jordi de la Hoz: Electric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, Spain
Àlex Alonso: Electric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, Spain
Sergio Coronas: Electric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, Spain
Helena Martín: Electric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, Spain
José Matas: Electric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, Spain

Energies, 2020, vol. 13, issue 11, 1-1

Abstract: The following paper aims to prove the importance of embedding the regulatory framework when analyzing the distributed generation activity of an energy community. At present, most of the scientific literature has focused on distributed energy, and energy communities address the issue of regulatory frameworks qualitatively. In this paper, the most representative regulatory frameworks devoted to the promotion of energy communities were analyzed and synthesized, namely, feed-in tariffs, net metering, and the self-consumption scheme. As a result, an algebraic model able to represent the essence of the regulatory structures related to those remuneration mechanisms was obtained. Next, this model was embedded into a physical model, based on real data, previously created. The resulting Mixed Integer Linear Program (MILP) was used to identify the implications of these frameworks. The results demonstrate the impact of regulatory schemes on energy management and economic results of an energy community. Indeed, profitability changes drastically depending on which remuneration scheme is applied to an energy community.

Keywords: energy communities; regulatory framework; mathematical optimization; distributed generation; renewable energy; microgrids; energy management (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: 2020
References: View references in EconPapers View complete reference list from CitEc
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