Construction Planning of China’s Computing Power Center from the Perspective of Electricity–Computing Synergy

Jindong Cui, Shuyi Zhu and Feifei Li ()
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Jindong Cui: School of Economics and Management, Northeast Electric Power University, Jilin 132012, China
Shuyi Zhu: School of Economics and Management, Northeast Electric Power University, Jilin 132012, China
Feifei Li: School of Economics and Management, Northeast Electric Power University, Jilin 132012, China

Sustainability, 2025, vol. 17, issue 14, 1-19

Abstract: Against the backdrop of the energy crisis and a rapidly advancing digital economy, electricity–computing synergy has become a strategic pathway to resolve energy constraints in computing power center and overcome renewable energy consumption challenges. This study breaks through the existing single-factor fragmented analysis method and systematically constructs a vertically progressive and horizontally coupled electricity–computing synergy planning model to deconstruct the core elements of computing power center construction and reconstruct the path of electricity–computing value co-creation. It proposes a multi-objective site selection decision-making method for computing power center based on linear weighting and the principle of reusability and universality, effectively avoiding the problem of overall system efficiency loss caused by single-objective optimization. Based on the empirical results from data from 31 provinces in China, this study classifies the endowments for computing power center construction, conducts targeted analyses of each province’s situation, and finds three major contradictions facing China’s computing power center: a spatial mismatch between green energy resources and service demand, a dynamic imbalance between electricity price advantages and comprehensive costs, and structural contradictions between talent reserves and sustainable development. Finally, a multi-dimensional integrated strategy was systematically constructed, encompassing demand-driven initiatives, electricity price adjustments, talent innovation, natural cold-source activation, and network upgrades, to provide guidance and policy toolkits for the government planning of computing power infrastructure development.

Keywords: computing power center; synergy planning; multi-objective decision-making; green sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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