Yang Guanglei, Zhang Guoxing, Cao Dongqin, Gao Xiulin, Wang Xiaojuan, Yang Shaowen, Jiang Pansong, Zha Donglan, Shan Yuli
School of Management, Lanzhou University, Lanzhou, 730000, China.
School of Economics, Lanzhou University, Lanzhou, 730000, China.
Sci Data. 2024 Jul 7;11(1):738. doi: 10.1038/s41597-024-03529-0.
The role of China is increasingly pivotal in climate change mitigation, and the formulation of energy conservation and emission reduction policies requires city-level information. The effectiveness of national policy implementation is contingent upon the support and involvement of local governments. Accurate data on final energy consumption is vital to formulate and implement city-level energy transitions and energy conservation and emission reduction policies. However, there is a dearth of data sources pertaining to China's city-level final energy consumption. To address these gaps, we developed computational modeling techniques along with top-down and downscaling methods to estimate China's city-level final energy consumption. In this way, we compiled a final energy consumption inventory for 331 Chinese cities from 2005 to 2021, covering seven economic sectors, 30 fossil fuels, and four clean power sources. Moreover, we discussed the validity of the estimation results from multiple perspectives to enhance estimation accuracy. This dataset can be utilized for analysis in various cutting-edge research fields such as energy transition dynamics, transition risk management strategies, and policy formulation processes.
中国在减缓气候变化方面的作用日益关键，而节能减排政策的制定需要城市层面的信息。国家政策实施的有效性取决于地方政府的支持与参与。准确的终端能源消费数据对于制定和实施城市层面的能源转型及节能减排政策至关重要。然而，关于中国城市层面终端能源消费的数据源匮乏。为填补这些空白，我们开发了计算建模技术以及自上而下和降尺度方法来估算中国城市层面的终端能源消费。通过这种方式，我们编制了2005年至2021年中国331个城市的终端能源消费清单，涵盖七个经济部门、30种化石燃料和四种清洁能源。此外，我们从多个角度讨论了估算结果的有效性，以提高估算准确性。该数据集可用于能源转型动态、转型风险管理策略和政策制定过程等各种前沿研究领域的分析。
