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Applied Energy
Article . 2024 . Peer-reviewed
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Economic assessment of multiple energy community participation

Authors: Ivan Mariuzzo; Bernadette Fina; Stefan Stroemer; Marco Raugi;

Economic assessment of multiple energy community participation

Abstract

Energy Communities (ECs) have been introduced as a solution to address energy system development from a multidisciplinary perspective, with energy-related, environmental, and social targets as main pillars. While some countries still struggle with implementing basic rules for ECs, others, such as Austria, already go one step further and address the topic of allowing to participate in multiple ECs at the same time. The scientific literature to date lacks of studies that investigate whether it is profitable for a new participant to join multiple ECs instead of joining only one, and, which effect this would have on the existing ECs. Thus, this paper introduces a mathematical framework to optimally allocate a new participant within an existing set of ECs. The proposed economic-based decision making problem is formulated as a Mixed Integer Linear Programming (MILP) problem. While the model determines the economically optimal solution for a new participant, it is ensured that the initial situation of the existing ECs does not worsen. Results are provided for a set of ECs with different availability of resources and located in different settlement patterns, applying current Austrian legislation. Result shows that having multiple possibilities to share energy surplus and to satisfy energy demand can result in additional revenues of 6%, making multiple participation a valuable option to be considered by policy makers.

Country
Italy
Keywords

Energy community (EC); Multiple participation; Mixed integer linear programming (MILP); Profitability; Optimal allocation

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Top 10%
hybrid
Related to Research communities
Energy Research