Shi Mai, Lu Xi, Jiang Haiyang, Mu Qing, Chen Shi, Fleming Rachael Marie, Zhang Ning, Wu Ye, Foley Aoife M
School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China.
Institute for Carbon Neutrality, Tsinghua University, Beijing 10084, P.R. China.
iScience. 2022 Aug 8;25(9):104890. doi: 10.1016/j.isci.2022.104890. eCollection 2022 Sep 16.
Rooftop solar photovoltaics (RSPV) are critical for megacities to achieve low-carbon emissions. However, a knowledge gap exists in a supply-demand-coupled analysis that considered simultaneously RSPV spatiotemporal patterns and city-accommodation capacities, a pivotal way to address solar PV intermittency issues. Here, we developed an aggregated model for an RSPV + system by linking building-level potential assessment to dynamic optimization of building-related flexible loads. Taking Beijing, the capital city of China, as case in point, we show that annual RSPV potential in Beijing's Greater-Metropolitan area amounts to 15.4 TWh, all of which could be accommodated environmentally friendly and cost-effectively through the smart operation of electric vehicles and air conditioners equipped with thermal energy storage (TES). Additionally, the RSPV + system would reduce the 8.6 GW transmission capacity otherwise required for increasing electricity demand for 2035 in Beijing. The analysis offers an important reference for sustainable RSPV development in mega-cities in China and other countries globally.
屋顶太阳能光伏发电(RSPV)对于特大城市实现低碳排放至关重要。然而,在同时考虑RSPV时空模式和城市容纳能力的供需耦合分析方面存在知识空白,这是解决太阳能光伏间歇性问题的关键途径。在此,我们通过将建筑层面的潜力评估与建筑相关灵活负荷的动态优化相联系,开发了一个RSPV + 系统的聚合模型。以中国首都北京为例,我们表明北京大都市区的年度RSPV潜力达15.4太瓦时,所有这些都可以通过配备热能储存(TES)的电动汽车和空调的智能运行以环境友好且经济高效的方式得到容纳。此外,RSPV + 系统将减少北京2035年因电力需求增加而原本所需的8.6吉瓦输电容量。该分析为中国及全球其他国家特大城市的可持续RSPV发展提供了重要参考。