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北京工业大学制冷与低温工程系 北京 100124
周峰,男,校聘教授,北京工业大学制冷与低温工程系,13426312128,E-mail:zhoufeng@bjut.edu.cn。研究方向:制冷空调能源利用与环境控制技术,数据中心低碳节能技术,绿色建筑节能技术,相变传热与流动,制冷剂工质环保替代等。
收稿日期:2023-08-18,
修回日期:2023-11-27,
录用日期:2023-11-27,
纸质出版日期:2025-02-16
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周峰, 王芮敏, 马国远, 等. 我国数据中心碳中和路径情景分析[J]. 制冷学报, 2025,46(1):79-85.
Zhou Feng, Wang Ruimin, Ma Guoyuan, et al. Scenario Analysis of Data Centers in China Under Carbon Neutrality Target[J]. Journal of refrigeration, 2025, 46(1): 79-85.
周峰, 王芮敏, 马国远, 等. 我国数据中心碳中和路径情景分析[J]. 制冷学报, 2025,46(1):79-85. DOI: 10.12465/j.issn.0253-4339.2025.01.079.
Zhou Feng, Wang Ruimin, Ma Guoyuan, et al. Scenario Analysis of Data Centers in China Under Carbon Neutrality Target[J]. Journal of refrigeration, 2025, 46(1): 79-85. DOI: 10.12465/j.issn.0253-4339.2025.01.079.
数据中心低碳转型减排对实现碳达峰、碳中和目标具有重要意义。对全国数据中心总体情况进行对比分析,基于中国关键年份CO
2
排放和强度目标,引入能效提高率、非化石能源消费占比、负排放技术强度3个变量,采用情景分析法分析数据中心CO
2
排放总量。研究结果表明:数据中心的耗电量逐渐增加,而碳排放量呈先增加后降低的趋势,数据中心的电能利用效率(PUE)呈逐渐下降的趋势,3种情景的碳达峰时间均为2030年,碳中和的时间分别为2059、2057、2055年。展望2060年碳中和目标,数据中心行业应进一步提高能效利用率、提高非化石能源占比、加强碳捕集与封存技术创新和提升碳汇水平。
The low-carbon transformation of data centers is highly significant for achieving carbon peaking and carbon neutrality. This study compared and analyzed the overall situation of data centers in China. Three variables—energy efficiency improvement rate
proportion of non-fossil energy—and negative emission technology intensity were introduced based on the CO
2
emission and intensity targets of China in key years
and the total CO
2
emissions of the data centers were projected via scenario analysis. The results demonstrated that the power consumption of the data centers increased gradually; the carbon emissions first increased and then decreased
and the power usage effectiveness (PUE) of the data centers decreased gradually. The carbon peak time of the three scenarios is 2030
and the expected times to achieve carbon neutrality are 2059
2057
and 2055 in the three scenarios. In light of the goal to achieve carbon neutrality by 2060
the data center industry should further improve the energy efficiency utilization rate
increase the proportion of non-fossil energy
strengthen the technological innovation of carbon capture and storage
and enhance the level of carbon sinks.
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