{"title":"分布式层面供需资源协调的联合共享平台:有限理性下电碳流耦合","authors":"Xiaohui Yang , Longxi Li","doi":"10.1016/j.apenergy.2025.126051","DOIUrl":null,"url":null,"abstract":"<div><div>Energy sharing effectively addresses the supply–demand mismatches arising from the large-scale development of distributed energy by transferring usufruct of power equipment and coordinating resources on both the supply and demand sides, thereby reducing resource waste and facilitating renewable energy integration. However, implicit carbon flow during the energy-sharing process leads to certain market entities not fully assuming their carbon emissions responsibility, affecting the fairness and rationality of carbon responsibility allocation, thereby limiting the carbon reduction potential. Therefore, a rational and effective energy-sharing and carbon responsibility allocation framework is needed at the distributed level to promote the sustainable development of distributed energy systems. To this end, this paper establishes a sharing platform from the perspective of energy sharing and carbon responsibility sharing, based on a secure, efficient, and flexible sharing economy business model. A dynamic pricing strategy is formulated to coordinate the management of distributed energy resources on the supply side and demand response resources on the consumer side, coupling electricity and carbon flows. Using prospect theory and mental accounting, the bounded rationality of generators and consumers under uncertainty is modeled. Considering the relationship between shared tariffs and shared power, a dynamic Kriging metamodel combined with the particle swarm optimization algorithm solves the complex bilevel interaction model among multi-stakeholders in the electricity–carbon market. Simulation results indicate that the proposed framework, grounded in value co-creation and carbon responsibility sharing principles, incentivizes bilateral participation in energy sharing and carbon responsibility sharing, demonstrating balanced advantages in economic, social, and environmental sustainability, and fairness.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126051"},"PeriodicalIF":10.1000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A joint sharing-sharing platform for coordinating supply and demand resources at distributed level: Coupling electricity and carbon flows under bounded rationality\",\"authors\":\"Xiaohui Yang , Longxi Li\",\"doi\":\"10.1016/j.apenergy.2025.126051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Energy sharing effectively addresses the supply–demand mismatches arising from the large-scale development of distributed energy by transferring usufruct of power equipment and coordinating resources on both the supply and demand sides, thereby reducing resource waste and facilitating renewable energy integration. However, implicit carbon flow during the energy-sharing process leads to certain market entities not fully assuming their carbon emissions responsibility, affecting the fairness and rationality of carbon responsibility allocation, thereby limiting the carbon reduction potential. Therefore, a rational and effective energy-sharing and carbon responsibility allocation framework is needed at the distributed level to promote the sustainable development of distributed energy systems. To this end, this paper establishes a sharing platform from the perspective of energy sharing and carbon responsibility sharing, based on a secure, efficient, and flexible sharing economy business model. A dynamic pricing strategy is formulated to coordinate the management of distributed energy resources on the supply side and demand response resources on the consumer side, coupling electricity and carbon flows. Using prospect theory and mental accounting, the bounded rationality of generators and consumers under uncertainty is modeled. Considering the relationship between shared tariffs and shared power, a dynamic Kriging metamodel combined with the particle swarm optimization algorithm solves the complex bilevel interaction model among multi-stakeholders in the electricity–carbon market. Simulation results indicate that the proposed framework, grounded in value co-creation and carbon responsibility sharing principles, incentivizes bilateral participation in energy sharing and carbon responsibility sharing, demonstrating balanced advantages in economic, social, and environmental sustainability, and fairness.</div></div>\",\"PeriodicalId\":246,\"journal\":{\"name\":\"Applied Energy\",\"volume\":\"393 \",\"pages\":\"Article 126051\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306261925007810\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306261925007810","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
A joint sharing-sharing platform for coordinating supply and demand resources at distributed level: Coupling electricity and carbon flows under bounded rationality
Energy sharing effectively addresses the supply–demand mismatches arising from the large-scale development of distributed energy by transferring usufruct of power equipment and coordinating resources on both the supply and demand sides, thereby reducing resource waste and facilitating renewable energy integration. However, implicit carbon flow during the energy-sharing process leads to certain market entities not fully assuming their carbon emissions responsibility, affecting the fairness and rationality of carbon responsibility allocation, thereby limiting the carbon reduction potential. Therefore, a rational and effective energy-sharing and carbon responsibility allocation framework is needed at the distributed level to promote the sustainable development of distributed energy systems. To this end, this paper establishes a sharing platform from the perspective of energy sharing and carbon responsibility sharing, based on a secure, efficient, and flexible sharing economy business model. A dynamic pricing strategy is formulated to coordinate the management of distributed energy resources on the supply side and demand response resources on the consumer side, coupling electricity and carbon flows. Using prospect theory and mental accounting, the bounded rationality of generators and consumers under uncertainty is modeled. Considering the relationship between shared tariffs and shared power, a dynamic Kriging metamodel combined with the particle swarm optimization algorithm solves the complex bilevel interaction model among multi-stakeholders in the electricity–carbon market. Simulation results indicate that the proposed framework, grounded in value co-creation and carbon responsibility sharing principles, incentivizes bilateral participation in energy sharing and carbon responsibility sharing, demonstrating balanced advantages in economic, social, and environmental sustainability, and fairness.
期刊介绍:
Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.