“东数西算”背景下数据中心碳减排效益分析

doi:10.11959/j.issn.2096-0271.2023058

Abstract

Abstract:

The western region is a destination for the transfer of data center computing capacity.It is rich in natural resources and must take full advantage of its energy and climate advantages.In the context of ＆quot;Channel Computing Resources from the East to the West＆quot;, data centers urgently need to quantify the carbon reduction benefits during the process of transferring computing capacity.Therefore, this paper constructed a carbon emission accounting model for computing capacity transfer by considering three influencing factors: renewable energy, climate factor, and transfer process.To illustrate the effectiveness, a case of eight nodes of ＆quot;Channel Computing Resources from the East to the West＆quot; was presented.The results show that compared with the carbon emission reduction from renewable energy and climate factors, the additional carbon emission caused by the transmission process is minimal, and for each 1 kW·h of computing capacity, 0.053~0.344kg of carbon emission can be reduced if only the first two factors are considered.To improve the carbon emission benefits from load shifting, the western region should guide data centers to gather in resource-intensive places, vigorously develop clean energy industries, increase the development of clean energy, and promote the degree of clean energy consumption, while grasping this opportunity to attract digital industries to land and promote the digital transformation of traditional industries.

Key words: data center, load shifting, renewable energy, carbon emission

CLC Number:

Yu ZHOU, Weile ZHANG, Wanting DUAN. Data center carbon reduction analysis in the context of "Channel Computing Resources from the East to the West"[J]. Big Data Research, 2023, 9(5): 48-60.

Figures/Tables 8

References ［27］

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节点	集群所处地区	火力发电占比	PUE
京津冀枢纽	河北省	81.69%	1.5
长三角枢纽	安徽省	92.39%	1.5
粤港澳枢纽	广东省	75.69%	1.5
内蒙古枢纽	内蒙古	63.40%	1.3
宁夏枢纽	宁夏省	79.79%	1.3
甘肃枢纽	甘肃省	57.60%	1.3
贵州枢纽	贵州省	64.52%	1.3
注：火力发电碳排放因子取0.81 kgCO₂e/(kW·h)，可再生能源发电碳排放因子为0 kgCO₂e /(kW·h)。

材料名称	单位	数量	碳排放因子
水泥	公斤	400	616.6 kgCO₂e/t
砂	立方米	1.037	2.796 kgCO₂e/t
碎石	立方米	0.555	2.425 kgCO₂e/t
机砖	块	720	0.4826 kgCO₂e/块
钢筋	公斤	20.71	3 755 kgCO₂e/t

运输方式类别	碳排放因子/（kgCO₁e/(t•km)）
轻型柴油货车运输（载重2 t）	0.286
中型柴油货车运输（载重8 t）	0.179
重型柴油货车运输（载重10 t）	0.162
重型柴油货车运输（载重18 t）	0.129
重型柴油货车运输（载重30 t）	0.078
重型柴油货车运输（载重46 t）	0.057

负载转移路径	VAR₂/（kgCO₂e/(kW·h)）	距离/km	VAR₃/（kgCO₂e）
京津冀地区→内蒙古	0.2166	264	411 180
京津冀地区→贵州	0.2088	1 753	2 730 297.5
京津冀地区→甘肃	0.2573	848	1 320 760
京津冀地区→宁夏	0.1016	914	1 423 555
长三角地区→内蒙古	0.3033	1 164	1 812 930
长三角地区→贵州	0.2954	1 250	1 946 875
长三角地区→甘肃	0.3440	1 107	1 724 152.5
长三角地区→宁夏	0.1882	1 388	2 161 810
粤港澳大湾区→内蒙古	0.1680	1 739	2 708 492.5
粤港澳大湾区→贵州	0.1602	717	1 116 727.5
粤港澳大湾区→甘肃	0.2087	1 342	2 090 165
粤港澳大湾区→宁夏	0.0530	1 621	2 524 707.5

负载转移路径	VAR₂/（kgCO₂e）	VAR₃/（kgCO₂e）	VAR/（kgCO₂e）
京津冀地区→内蒙古	474 478.98	157.71	474 321.27
京津冀地区→贵州	457 392.48	1 047.24	456 345.24
京津冀地区→甘肃	563 635.46	506.59	563 128.87
京津冀地区→宁夏	222 562.62	546.02	222 016.60
长三角地区→内蒙古	664 402.00	695.37	663 706.63
长三角地区→贵州	647 096.45	746.75	646 349.70
长三角地区→甘肃	753 558.49	661.32	752 897.17
长三角地区→宁夏	412 266.59	829.19	411 437.40
粤港澳大湾区→内蒙古	368 016.94	1 038.87	366 978.06
粤港澳大湾区→贵州	350 930.44	428.33	350 502.10
粤港澳大湾区→甘肃	457 173.42	801.71	456 371.71
粤港澳大湾区→宁夏	116 100.58	968.38	115 132.20

Data center carbon reduction analysis in the context of "Channel Computing Resources from the East to the West"

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