Analysing the potential of citizen-financed community renewable energy to drive Europe's low-carbon energy transition

C. Pons-Seres de Brauwer*, J.J. Cohen

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    In 2018, the real amount invested in the European Union's energy transition fell short of the funding level required to reach the 2030 climate and energy targets by €179 billion. Citizen-led finance in renewable energy development emerges as an innovative tool to bridge this investment gap. However, in spite of the European Union's ambition to involve local communities for co-driving the low-carbon energy transition, there is no comprehensive analysis quantifying citizens' potential to co-finance and participate in community renewable energy initiatives across Europe. We address this knowledge gap through a representative choice experiment survey that collected responses from 16,235 participants to different hypothetical investment options on renewable energy schemes across all European Union Member States, and estimate the social potential of European citizens to participate and invest in community-administered wind farms. Results from a novel survey-based social simulation indicate that €176 billion could be obtained from citizen-led finance in community-administered wind farm developments, enough to halve the investment gap to achieve a 32% renewable energy share in final energy consumption by 2030. Our analysis substantiates the case for facilitating easily accessible, risk-insured community investment options across Europe to unlock citizens' social potential for investing in community renewable energy.
    Original languageEnglish
    Article number110300
    JournalRenewable & Sustainable Energy Reviews
    Volume133
    Number of pages12
    ISSN1364-0321
    DOIs
    Publication statusPublished - 2020

    Keywords

    • Community renewable energy
    • Social potential
    • Energy transition
    • Citizen finance
    • Survey-based social simulation

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