Comparing Value Sharing Methods for Different Types of Energy Communities

Anna Kulmala, Marius Baranauskas, Amir Safdarian, Jussi Valta, Pertti Järventausta, Tomas Björkqvist

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Energy communities combine assets of different community members and can create financial value from energy trade and from providing flexibility. Sharing this value among the community members can be done in various ways depending on the main objectives of the energy community and selecting the most suitable value sharing method for a particular energy community is not always straightforward. There are several, partly contradictory, requirements to be fulfilled that include fairness, stability, understandability, computational feasibility and ability to incentivize individual members to act in a way that benefits the whole energy community. In this paper, alternative energy community value sharing methods are compared from different viewpoints. The most suitable value sharing method for a particular energy community can be selected by first defining what are the main requirements for value sharing and then proceeding to a more detailed analysis of the value sharing method options that fulfill those requirements.

Original languageEnglish
Title of host publication2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781665448758
ISBN (Print)9781665448765
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in a conference publication
EventIEEE PES Innovative Smart Grid Technologies Conference Europe - Espoo, Finland
Duration: 18 Oct 202121 Oct 2021

Conference

ConferenceIEEE PES Innovative Smart Grid Technologies Conference Europe
Country/TerritoryFinland
CityEspoo
Period18/10/2121/10/21

Keywords

  • community energy
  • cost allocation
  • energy community
  • value sharing

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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