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      A value sharing method for heterogeneous energy communities archetypes

      research-article
      1 , 1 , 2 ,
      iScience
      Elsevier
      Engineering, Electrical engineering, Energy management, Energy Modeling

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          Summary

          A novel value sharing (VS) method is proposed that distributes the energy communities (ECs) value based on the individual contribution to the total surplus/deficit. It considers the load-generation profile of each EC member and allocates a higher share to members who contribute to the EC revenue. The lowest share is received by the members with the highest demand that has to be supplied from the shared generation or from the grid, contributing to the EC cost. Several allocation methods are compared using the fairness index (FI), and, for setting the strategy of the EC using a decision model, as the strategy may vary over time, an objective function is defined as a combination between FI and self-sufficiency index using weighting coefficients. The methodology is implemented as an algorithm that automatically calculates and distributes the gain. For the proposed VS method, the FI is between 0.81 and 1.

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          Highlights

          • Energy communities’ stakeholders and archetypes

          • Maximizing the value of RES, minimizing the costs

          • Value sharing using load-generation profile and empowering local markets

          • Extracting benefits from value sharing flexibilities

          Abstract

          Engineering; Electrical engineering; Energy management; Energy Modeling

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          Most cited references62

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          Renewable energy communities under the 2019 European Clean Energy Package – Governance model for the energy clusters of the future?

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            Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework

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              Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies

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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                07 December 2023
                19 January 2024
                07 December 2023
                : 27
                : 1
                : 108687
                Affiliations
                [1 ]Bucharest University of Economic Studies, Department of Economic Informatics and Cybernetics, no. 6 Piaţa Romană, 010374 Bucharest, Romania
                Author notes
                []Corresponding author simona.oprea@ 123456csie.ase.ro
                [2]

                Lead contact

                Article
                S2589-0042(23)02764-5 108687
                10.1016/j.isci.2023.108687
                10777070
                38205247
                f98db184-da1b-400e-a42e-d3b4a84c92a1
                © 2023 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 16 August 2023
                : 17 November 2023
                : 5 December 2023
                Categories
                Article

                engineering,electrical engineering,energy management,energy modeling

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