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一种通过多能源共享和碳责任分担来协调能源生产者消费者的框架。

A framework for coordinating energy prosumers through multi-energy sharing and carbon responsibility sharing.

作者信息

Li Longxi, Yang Xiaohui

机构信息

Center for Energy Environmental Management and Decision-making, China University of Geosciences, Wuhan 430074, China.

School of Economics and Management, China University of Geosciences, Wuhan 430074, China.

出版信息

iScience. 2024 Dec 14;28(1):111595. doi: 10.1016/j.isci.2024.111595. eCollection 2025 Jan 17.

DOI:10.1016/j.isci.2024.111595
PMID:39834864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11742818/
Abstract

In the emerging energy-sharing market, prosumers enhance resource allocation and promote low-carbon transitions through energy trade. Implicit carbon transfers in energy sharing necessitate scientific carbon responsibility allocation to guide prosumers' decisions in integrated electricity, heat, and carbon markets. To coordinate growing multi-prosumers, and stimulate multi-energy sharing and equitable carbon responsibility allocation, an innovative framework for joint multi-energy and carbon responsibility sharing is designed to enhance local energy transaction, carbon emission management, and mutual benefits under the guiding principles of individual rationality, low-carbon orientation, transparency, and scalability. Supported by the proposed mapping rules and tailored algorithms, multi-energy and carbon responsibilities are efficiently shared among multi-stakeholders. Numerical analysis confirms the model's effectiveness in improving economic and environmental outcomes, promoting low-carbon energy use, and prioritizing low-carbon participants. This research shifts prosumer development modes from individualization to group collaboration, advancing energy systems toward shared carbon responsibilities across supply and demand sides.

摘要

在新兴的能源共享市场中,产消者通过能源交易提高资源配置效率并推动低碳转型。能源共享中的隐含碳转移需要科学的碳责任分配,以指导产消者在综合电力、热力和碳市场中的决策。为了协调日益增多的多产消者,促进多能源共享和公平的碳责任分配,设计了一个创新的多能源与碳责任联合共享框架,以在个体理性、低碳导向、透明度和可扩展性的指导原则下加强本地能源交易、碳排放管理和互利共赢。在所提出的映射规则和定制算法的支持下,多利益相关方之间有效地共享了多能源和碳责任。数值分析证实了该模型在改善经济和环境成果、促进低碳能源使用以及优先考虑低碳参与者方面的有效性。本研究将产消者的发展模式从个体化转变为群体协作,推动能源系统在供需双方实现共享碳责任。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/9aa3513c91e1/gr10.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/9da378b08547/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/63e1c0848e90/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/9aa3513c91e1/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/bf7edcdfa0b8/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/c5ddb902f495/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/5788c8b64f7c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/694a3a1ef49e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/527ddf5e2ab3/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/6e9d9eeb40af/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/0d54e9859f99/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/7ca6f2575a9b/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/9da378b08547/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/63e1c0848e90/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0db2/11742818/9aa3513c91e1/gr10.jpg

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