2022
DOI: 10.1016/j.erss.2022.102671
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Designing successful energy communities: A comparison of seven pilots in Europe applying the Multi-Actor Multi-Criteria Analysis

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Cited by 23 publications
(14 citation statements)
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“…They introduced an integrated methodology based on a linear bottom-up optimization model for addressing key aspects for planning an energy community, namely the definition of the best technology mix, demand-side management (DSM) and benefits' allocation through the novel fairness index. Similarly to Lode et al [11], Casalicchio et al [20] also highlight that the most decisive EC-planning factors are emissions' reduction, grid stability (in terms of DSM) and cost reduction; but additionally, the community composition and the fairness of the business models under which the EC would operate. Another important parameter is to determine the REC sharing scheme, either the physical or the "virtual" one.…”
Section: Introductionmentioning
confidence: 93%
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“…They introduced an integrated methodology based on a linear bottom-up optimization model for addressing key aspects for planning an energy community, namely the definition of the best technology mix, demand-side management (DSM) and benefits' allocation through the novel fairness index. Similarly to Lode et al [11], Casalicchio et al [20] also highlight that the most decisive EC-planning factors are emissions' reduction, grid stability (in terms of DSM) and cost reduction; but additionally, the community composition and the fairness of the business models under which the EC would operate. Another important parameter is to determine the REC sharing scheme, either the physical or the "virtual" one.…”
Section: Introductionmentioning
confidence: 93%
“…This technical analysis activity actually precedes the participatory processes required in the design stage of successful energy communities in order to provide enough information to participants and facilitate their decisions. In the context of participatory decision-making, Lode et al [11] applied the multi-actor, multi-criteria analysis (MAMCA) in the design phase of energy communities (ECs) for seven case studies in Belgium, Spain, the Netherlands and Greece. They found that the factors considered as the most decisive ones for planning a successful EC are emission reduction, community building, energy cost reduction and grid stability.…”
Section: Introductionmentioning
confidence: 99%
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“…In its essence, both CEC and REC are open and voluntary and incorporate non-commercial, environmental and social benefits. Previous studies found that the most important aspects of joining CEC and REC were emission reduction, community building, energy cost reduction and grid stability [1]. The authors of [2], [3] have discussed the difference between CEC and REC in great detail, considering many concepts and overlap definitions.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, this study applied a participatory Multi-Criteria Analysis (specifically the Multi-Actor Multi-Criteria Analysis (MAMCA) [14]) to incorporate both the technical performance, as well as the social preferences in the evaluation of different energy scenarios. Building on combined approaches in previous studies on energy communities in the European Union [15], [16], this study was embedded in larger engagement activities, including the conduction of surveys, interviews, and communal workshops. The quantitative and qualitative data generated through these activities and a mixed-integer linear program (MILP) model used for the energy system optimization were fed into MAMCA.…”
Section: Introductionmentioning
confidence: 99%