Towards carbon-free electricity: A flow-based framework for power grid carbon accounting and decarbonization

被引:0
|
作者
Chen, Xin [1 ]
Chao, Hungpo [2 ]
Shi, Wenbo [3 ]
Li, Na [4 ]
机构
[1] Department of Electrical and Computer Engineering, Texas A&M University, College Station,TX, United States
[2] Energy Trading Analytics, LLC, Stanford University (ret.), Palo Alto,CA, United States
[3] Singularity Energy Inc., Somerville,MA, United States
[4] School of Engineering and Applied Sciences, Harvard University, Cambridge,MA, United States
来源
Energy Conversion and Economics | 2024年 / 5卷 / 06期
关键词
D O I
10.1049/enc2.12134
中图分类号
学科分类号
摘要
This study introduces a comprehensive framework aimed at advancing research and policy development in the realm of decarbonization within electric power systems. The framework focuses on three key aspects—carbon accounting, carbon-aware decision making, and carbon-electricity market design—and proposes solutions to existing problems. In contrast to traditional pool-based emission models, this framework proposes a novel flow-based emission model that incorporates the underlying physical power grid and power flows. Thus, the framework allows accurate carbon accounting at both the temporal and spatial scales, thereby facilitating informed decision-making to achieve grid decarbonization goals. The framework is built on a flow-based carbon accounting methodology and utilizes the carbon-aware optimal power flow technique as a theoretical foundation for decarbonization decision-making. Additionally, this study explores the potential design of carbon-electricity markets and pricing mechanisms to incentivize decentralized decarbonization actions. Critical issues of data availability, infrastructure development, fairness and equity considerations are also discussed. © 2024 The Author(s). Energy Conversion and Economics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and the State Grid Economic & Technological Research Institute Co., Ltd.
引用
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页码:396 / 418
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