发表机构
Massachusetts Institute of Technology; The University of Hong Kong; Aalto University; Tsinghua University（麻省理工学院; 香港大学; 阿尔托大学; 清华大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本综述通过嵌套耦合框架系统梳理弹性多能源系统应对气候变化的最新进展，涵盖弹性资源、评估、运行规划、定价投资及全球实践，并指出数据不足、分布式协调等七大挑战与机遇。
AI 中文摘要
气候变化是对能源系统长期可持续发展的全球性威胁。近期研究探索了协调不同能源载体和部门（如电力、天然气、供热、氢能、交通和水务部门）的新兴机遇，以释放跨部门灵活性来应对气候变化。本综述通过嵌套耦合的视角，为弹性多能源系统建立了一个整体框架，涵盖了弹性资源、弹性评估、面向弹性的运行与规划、弹性定价与投资以及实际部署等方面的最新进展。与以往研究不同，本工作全面考察了气候变化影响（分布偏移）、弹性定价和全球项目。在该领域，我们倡导一种跨越能源系统、气候科学、社会学、经济学和数据科学的独特跨学科视角。最后，本文指出了七大主要挑战与机遇，包括数据不足、分布式协调与隐私、高保真仿真以及机器学习技术。研究人员、工业专家和政策制定者可参考本综述，以把握这一新兴领域的发展趋势和未来机遇。
英文摘要
Climate change is a global threat to the long-term sustainable development of energy systems. Recent works have explored the emerging opportunity of coordinating different energy carriers and sectors (e.g. electricity, natural gas, heating, hydrogen, transportation, and water sectors) to unlock the cross-sector flexibility against climate change. This review has established a holistic framework for resilient multi-energy systems through the lens of nested coupling. It covers the most recent progress in resilience resources, resilience evaluation, resilience-oriented operation & planning, resilience pricing & investment, and real-world implementation. This work differs from prior studies through a full investigation on climate change impacts (distribution shifts), resilience pricing, and global projects. Within this area, we advocate for a unique and interdisciplinary perspective spanning across energy systems, climate science, sociology, economics, and data science. At the end, seven major challenges and opportunities are identified, including data deficiency, distributed coordination & privacy, high-fidelity simulation, and machine learning techniques. Researchers, industrial experts, and policy makers can follow this review to capture the emerging trend and future opportunities in this growing area.
CommentsAccepted by Proceedings of the IEEE, 33 pages, 17 figures, 3 tables
