Integration of prosumer peer-to-peer trading decisions into energy community modelling
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In: Nature Energy, Vol. 7, No. 1, 01.2022, p. 74-82.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Integration of prosumer peer-to-peer trading decisions into energy community modelling
AU - Pena-Bello, Alejandro
AU - Parra, David
AU - Herberz, Mario
AU - Tiefenbeck, Verena
AU - Patel, Martin K.
AU - Hahnel, Ulf J.J.
N1 - Publisher Copyright: © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2022/1
Y1 - 2022/1
N2 - Peer-to-peer (P2P) exchange of renewable energy is an attractive option to empower citizens to actively participate in the energy transition. Whereas previous research has assessed P2P communities primarily from a techno-economic perspective, little is yet known about prosumer preferences for solar power trading. Importantly, impacts of community members’ trading decisions on key performance indicators, such as individual electricity bills, community autarky and grid stress, remain unknown. Here, we assess P2P trading decisions of German homeowners on the basis of an online experimental study, and simulate how various decision-making strategies impact the performance of P2P communities. The findings suggest that community autarky is slightly higher when prosumers are enabled to trade energy compared to when they merely aim to maximize their self-consumption. Our analysis, moreover, shows that P2P energy trading based on human decision-making may lead to financial benefits for prosumers and traditional consumers, and reduced stress for the grid.
AB - Peer-to-peer (P2P) exchange of renewable energy is an attractive option to empower citizens to actively participate in the energy transition. Whereas previous research has assessed P2P communities primarily from a techno-economic perspective, little is yet known about prosumer preferences for solar power trading. Importantly, impacts of community members’ trading decisions on key performance indicators, such as individual electricity bills, community autarky and grid stress, remain unknown. Here, we assess P2P trading decisions of German homeowners on the basis of an online experimental study, and simulate how various decision-making strategies impact the performance of P2P communities. The findings suggest that community autarky is slightly higher when prosumers are enabled to trade energy compared to when they merely aim to maximize their self-consumption. Our analysis, moreover, shows that P2P energy trading based on human decision-making may lead to financial benefits for prosumers and traditional consumers, and reduced stress for the grid.
KW - Psychology
UR - http://www.scopus.com/inward/record.url?scp=85121053098&partnerID=8YFLogxK
U2 - 10.21203/rs.3.rs-234650/v1
DO - 10.21203/rs.3.rs-234650/v1
M3 - Journal articles
AN - SCOPUS:85121053098
VL - 7
SP - 74
EP - 82
JO - Nature Energy
JF - Nature Energy
SN - 2058-7546
IS - 1
ER -