Scenario Analysis of Data Centers in China Under Carbon Neutrality Target

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Scenario Analysis of Data Centers in China Under Carbon Neutrality Target

更新时间：2025-01-15

- Scenario Analysis of Data Centers in China Under Carbon Neutrality Target
- Journal of Refrigeration (2025)
- 作者机构：
  
  北京工业大学制冷与低温工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： X321;TP308
- 稿件说明：
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Scenario Analysis of Data Centers in China Under Carbon Neutrality Target[J/OL]. Journal of Refrigeration, 2025.
DOI：

Scenario Analysis of Data Centers in China Under Carbon Neutrality Target[J/OL]. Journal of Refrigeration, 2025. DOI：

摘要

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。文章对全国数据中心总体情况进行比较分析，基于中国关键年份二氧化碳排放和强度目标，引入能效提高率、非化石能源消费占比、负排放技术强度三个变量，采用情景分析法分析数据中心CO2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。

Abstract

The low-carbon transformation of data centers is of great significance to achieve the goal of carbon peaking and carbon neutrality. This study compared and analyzed the overall situation of data centers in China. Based on China"s CO2 emission and intensity targets in key years

the three variables of energy efficiency improvement rate

proportion of non-fossil energy and negative emission technologies intensity were introduced

and the total CO2 emission of data centers was analyzed by scenario analysis. The results showed that the power consumption of data centers increased gradually

the carbon emission 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 time for carbon neutrality is 2059

2057

and 2055 in three scenarios. Looking forward to the goal of carbon neutrality in 2060

the data center industry should further improve 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 sink.

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Related Author

Zhou Feng

Wang Ruimin

Ma Guoyuan

Yan Xianghui

Jing Yang

Xie Xiaoyun

Jiang Yi

Dai Baomin

Related Institution

Department of Refrigeration and Cryogenic Engineering, Beijing University of Technology

Building Energy Research Center, Tsinghua University

Academy of Medical Engineering and Translational Medicine, Tianjin University

Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce

Zhejiang King Refrigeration Industry Co., Ltd.

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