Impact of Different Regulatory Structures on the Management of Energy Communities
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 fr...
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doaj-27a116be6ab44dd5a2c17053e80f9b642020-11-25T02:26:46ZengMDPI AGEnergies1996-10732020-06-01132892289210.3390/en13112892Impact of Different Regulatory Structures on the Management of Energy CommunitiesJordi de la Hoz0Àlex Alonso1Sergio Coronas2Helena Martín3José Matas4Electric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, SpainElectric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, SpainElectric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, SpainElectric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, SpainElectric Engineering Department, Escola d’Enginyeria de Barcelona Est, Polytechnic University of Catalonia, 08019 Barcelona, SpainThe 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.https://www.mdpi.com/1996-1073/13/11/2892energy communitiesregulatory frameworkmathematical optimizationdistributed generationrenewable energymicrogrids |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jordi de la Hoz Àlex Alonso Sergio Coronas Helena Martín José Matas |
spellingShingle |
Jordi de la Hoz Àlex Alonso Sergio Coronas Helena Martín José Matas Impact of Different Regulatory Structures on the Management of Energy Communities Energies energy communities regulatory framework mathematical optimization distributed generation renewable energy microgrids |
author_facet |
Jordi de la Hoz Àlex Alonso Sergio Coronas Helena Martín José Matas |
author_sort |
Jordi de la Hoz |
title |
Impact of Different Regulatory Structures on the Management of Energy Communities |
title_short |
Impact of Different Regulatory Structures on the Management of Energy Communities |
title_full |
Impact of Different Regulatory Structures on the Management of Energy Communities |
title_fullStr |
Impact of Different Regulatory Structures on the Management of Energy Communities |
title_full_unstemmed |
Impact of Different Regulatory Structures on the Management of Energy Communities |
title_sort |
impact of different regulatory structures on the management of energy communities |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-06-01 |
description |
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. |
topic |
energy communities regulatory framework mathematical optimization distributed generation renewable energy microgrids |
url |
https://www.mdpi.com/1996-1073/13/11/2892 |
work_keys_str_mv |
AT jordidelahoz impactofdifferentregulatorystructuresonthemanagementofenergycommunities AT alexalonso impactofdifferentregulatorystructuresonthemanagementofenergycommunities AT sergiocoronas impactofdifferentregulatorystructuresonthemanagementofenergycommunities AT helenamartin impactofdifferentregulatorystructuresonthemanagementofenergycommunities AT josematas impactofdifferentregulatorystructuresonthemanagementofenergycommunities |
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