DEDALUS Discoveries | Revolutionising Energy communities: blockchain and game theory drive cooperation among prosumers
Press release, 8 January 2025
Researchers at the Technical University of Cluj-Napoca have developed a blockchain-based approach using evolutionary game theory to enhance cooperation, efficiency, and equity in transactive energy communities.
Researchers from the Distributed Systems Research Laboratory at the Technical University of Cluj-Napoca, a DEDALUS partner, have introduced a novel approach to enhancing efficiency and cooperation in transactive energy communities.
Published in Energy & Buildings, a prestigious peer-reviewed journal focusing on energy efficiency, sustainable design, and advanced building technologies, the Open Access study "Evolutionary Game for Incentivizing Social Cooperation of Prosumers in Transactive Energy Communities" employs evolutionary game theory, specifically the Hawk-Dove model, to optimise peer-to-peer (P2P) energy trading among prosumers—households that produce and consume energy.
In this model, prosumers adopting a "Dove" strategy align their energy usage with community needs, while "Hawks" priorities personal gains. Implemented on a blockchain-based local energy market, the approach incentivizes collaboration by rewarding actions that benefit the community and deterring behaviors driven by personal gain. This fosters equitable energy sharing, enhances energy flexibility, and ultimately promotes overall community welfare.
Key results based on real-world energy data and blockchain-based simulations include:
- 92% of transactions evolve towards cooperative behaviours by the end of market sessions.
- Traded energy increases by up to 50%, driven by prosumers adapting their behaviours.
- Transaction costs decrease by 3%, highlighting both economic and social benefits.
"This research demonstrates how advanced game theory and blockchain technology can transform local energy markets, fostering resilience and collaboration within energy communities," said Tudor Cioara, Director of the Distributed Systems Research Laboratory.
To learn more, download here the full paper.
Contacts
Coordinator:
Diego Arnone, Engineering S.p.A, diego.arnone@eng.it
Communication:
Ilaria Orfino, ICONS, ilaria.orfino@icons.it
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