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Toward a new spatial paradigm of electricity-computing synergy under renewable energy endowments and geographical environmental constraints

文献类型：期刊论文

作者Guo, Jiaju2,3; Hou, Wenjuan3; Wang, Xiaoyue3; Zhang, Xueliang4; Wu, Shaohong2,3; Yang, Linsheng2,3; Jiang, Wenhui5; Zhang, Lunwei1
刊名APPLIED ENERGY
出版日期2026-04-15
卷号409页码:127495
关键词Power-computing nexus Climate normals Extreme events Renewable energy Environmental constraints Computing power centers
ISSN号0306-2619
DOI10.1016/j.apenergy.2026.127495
产权排序1
文献子类Article
英文摘要Under the dual context of rapid AI-driven digital expansion and green, low-carbon transition, understanding how renewable energy supports computing power and how global environmental change-particularly extreme climate events-shapes the spatial heterogeneity of China's electricity-computing integration has become a pressing scientific challenge. By integrating energy supply, computing demand, and environmental constraints (including mean and extreme climate conditions), this study develops a three-dimensional framework to assess the suitability of computing power centers (CPCs) and establish a new spatial paradigm for electricity-computing synergy in China. The results reveal pronounced spatial mismatches among the three dimensions. From the energy perspective, the energy supply is evolving into distinct renewable clusters, with the Northwest and Tibetan Plateau hosting 87.25% of national photovoltaic and 79.77% of wind potential, while the Southwest anchors a hydropower cluster accounting for 63% of national installed capacity. However, environmental constraints act as a spatial filter; Northern regions maximize suitability by leveraging natural cooling to balance Power Effectiveness (PUE) and Water Effectiveness (WUE), whereas Southern and Western are constrained by intensifying heatwaves and seismic risks, respectively. Conversely, computing demand remains heavily concentrated in Eastern coastal agglomerations. To resolve these structural imbalances, we propose a functional zoning paradigm comprising energy-oriented, demand-driven, and incremental-development regions. We further demonstrate that prioritizing this energy-computing coupling substantially improves operational efficiency and reduces carbon footprints. This spatial paradigm promotes interregional complementarity and facilitates the decoupling of Artificial Intelligence expansion from carbon emissions, providing a scientific basis for the East-Data, West-Computing initiative.
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WOS关键词SUSTAINABLE DATA CENTERS ; SITE SELECTION ; EFFICIENCY ; CHINA ; SOLAR ; LOCATION ; GREEN
WOS研究方向Energy & Fuels ; Engineering
语种英语
WOS记录号WOS:001689950300001
出版者ELSEVIER SCI LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/220948]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Hou, Wenjuan
作者单位1.Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, England;
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
4.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China;
5.Shandong Prov Terr Spatial Ecol Restorat Ctr, Jinan 250000, Peoples R China;
推荐引用方式
GB/T 7714		 Guo, Jiaju,Hou, Wenjuan,Wang, Xiaoyue,et al. Toward a new spatial paradigm of electricity-computing synergy under renewable energy endowments and geographical environmental constraints[J]. APPLIED ENERGY,2026,409:127495.
APA Guo, Jiaju.,Hou, Wenjuan.,Wang, Xiaoyue.,Zhang, Xueliang.,Wu, Shaohong.,...&Zhang, Lunwei.(2026).Toward a new spatial paradigm of electricity-computing synergy under renewable energy endowments and geographical environmental constraints.APPLIED ENERGY,409,127495.
MLA Guo, Jiaju,et al."Toward a new spatial paradigm of electricity-computing synergy under renewable energy endowments and geographical environmental constraints".APPLIED ENERGY 409(2026):127495.

入库方式： OAI收割

来源：地理科学与资源研究所

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