scholarly journals A social relationship preference aware peer‐to‐peer energy market for urban energy prosumers and consumers

Author(s):  
Zehua Zhao ◽  
Fengji Luo ◽  
Chunming Zhang ◽  
Gianluca Ranzi
Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 125 ◽  
Author(s):  
Lurian Pires Klein ◽  
Aleksandra Krivoglazova ◽  
Luisa Matos ◽  
Jorge Landeck ◽  
Manuel de Azevedo

The co-evolution of techno-economic, societal, environmental and political-institutional systems towards sustainable energy transitions is largely influencing the disruptive reconfiguration of the energy sector across the globe. At the heart of this disruption is the peer-to-peer energy sharing concept. Nonetheless, peer-to-peer energy sharing business models are yet very little put into practice due to the rigid energy market structures and lagging regulatory frameworks across the globe. In view of this, this paper presents a novel peer-to-peer energy sharing business model developed specifically for the context of the Portuguese energy market, which was successfully trialed in three pilot projects in Portugal under real market conditions. All things considered, the novelty of this paper lies on an innovative approach for the collaborative use of the surplus electricity generation from photovoltaic systems between end-users under the same low voltage/medium voltage transformer substation, which resulted in direct financial benefits to them. While absent deregulation obstructs the implementation of effective peer-to-peer energy sharing markets in Portugal, such demonstration projects are essential to challenge restrictive regulatory frameworks that do not keep pace with techno-economic and societal innovations, thus helping to build the emerging consumer-centric energy regime and disrupt the old one.


2009 ◽  
pp. 1629-1641
Author(s):  
Jeffrey J.P. Tsai ◽  
Jia Zhang ◽  
Jeff J.S. Huang ◽  
Stephen J.H. Yang

This article presents an intelligent social grouping service for identifying right participants to support CSCW and CSCL. We construct a three-layer hierarchical social network, in which we identify two important relationship ties – a knowledge relationship tie and a social relationship tie. We use these relationship ties as metric to measure the collaboration strength between pairs of participants in a social network. The stronger the knowledge relationship tie, the more knowledgeable the participants; the stronger the social relationship tie, the more likely the participants are willing to share their knowledge. By analyzing and calculating these relationship ties among peers using our computational models, we present a systematic way to discover collaboration peers according to configurable and customizable requirements. Experiences of social grouping services for identifying communities of practice through peer-to-peer search are also reported.


Author(s):  
Jeffrey J.P. Tsai ◽  
Jia Zhang ◽  
Jeff J.S. Huang ◽  
Stephen J.H. Yang

This article presents an intelligent social grouping service for identifying right participants to support CSCW and CSCL. We construct a three-layer hierarchical social network, in which we identify two important relationship ties – a knowledge relationship tie and a social relationship tie. We use these relationship ties as metric to measure the collaboration strength between pairs of participants in a social network. The stronger the knowledge relationship tie, the more knowledgeable the participants; the stronger the social relationship tie, the more likely the participants are willing to share their knowledge. By analyzing and calculating these relationship ties among peers using our computational models, we present a systematic way to discover collaboration peers according to configurable and customizable requirements. Experiences of social grouping services for identifying communities of practice through peer-to-peer search are also reported.


2021 ◽  
Author(s):  
Timothy Capper ◽  
Anna Gorbatcheva ◽  
Mustafa A. Mustafa ◽  
Mohamed Bahloul ◽  
Jan Marc Schwidtal ◽  
...  

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