清华大学深圳国际研究生院副教授张一团队在《自然·通讯》发表研究成果，建立覆盖深圳全市4549个社区单元的“社区-电网”（C2G）耦合分析框架，为超大城市需求侧资源管理提供量化方案1。该框架可联合调控108万辆私家电动汽车、479259栋非工业建筑负荷和95.6平方千米屋顶光伏1。
研究模拟了配额制与潜力制两种政策1。结果显示，配额制政策可将发电短缺量降低至57.4-213.5吉瓦时，对应21.1-70.7千吨二氧化碳减排1。潜力制政策可使夏季发电短缺量进一步降低15.5%-83.1%，冬季发电短缺量进一步降低9.9%-32.9%1。论文第一作者为清华大学深圳国际研究生院2024级博士研究生李楷三，通讯作者为张一1。研究获深圳市科技计划可持续发展科技专项（双碳专项）等项目支持1。
A research team led by Associate Professor Zhang Yi from the Tsinghua Shenzhen International Graduate School has published a new study in the journal Nature Communications, introducing a "Community-to-Grid" (C2G) coupling analysis framework that covers all 4,549 community units across Shenzhen 1. This framework provides a quantitative solution for demand-side resource management and helps decarbonize the power supply in megacities 1. Specifically, the framework can jointly regulate 1.08 million private electric vehicles, the power loads of 479,259 non-industrial buildings, and 95.6 square kilometers of rooftop photovoltaic systems 1.
The study simulated two policy scenarios, revealing that a quota-based policy could reduce power generation shortages to between 57.4 and 213.5 gigawatt-hours, corresponding to a carbon dioxide emission reduction of 21.1 to 70.7 thousand tons 1. Furthermore, a potential-based policy could further decrease summer power generation shortages by 15.5% to 83.1% and winter shortages by 9.9% to 32.9% 1. The first author of the paper is Li Kaisan, a 2024 doctoral student at the Tsinghua Shenzhen International Graduate School, with Zhang Yi serving as the corresponding author 1. This research was supported by projects including the Sustainable Development Science and Technology Special Project (Dual Carbon Special Project) of the Shenzhen Science and Technology Plan 1.
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