Abstract:

The synergistic development of computing power and electricity is a crucial integration point for optimizing energy resource allocation and ensuring the efficient operation of computing infrastructure in the deep advancement of the “East Data, West Computing” project. By selecting two national computing hub nodes—Ulanqab in Inner Mongolia and Qingyang in Gansu Province—a comparative analysis framework was constructed across five dimensions: green power supply mechanisms, energy efficiency levels, business models, industrial ecosystems, and policy innovation. The study found that Ulanqab has developed a “resource-adaptive” model characterized by water-saving cooling and lifecycle energy efficiency management, whereas Qingyang pioneered a “institution-innovative” model centered on green power aggregation and direct supply. These two models represent typical pathways for computing-power synergy in water-scarce and green-power-abundant regions, respectively. Based on the comparative findings, systematic optimization recommendations were proposed, including unified planning, standardized construction, and market mechanism innovation, providing theoretical reference and practical insights for the large-scale promotion of computing-power synergy.

Key words: computing-power synergy, East Data, West Computing, Ulanqab, Qingyang, green electricity aggregation, energy efficiency