OPERATION OPTIMIZATION OF DATA CENTER WASTE HEAT SYSTEM CONSIDERING DEMAND RESPONSE

Wang Kui, Wang Zhenyu, Shen Rendong, Chen Tianheng, Ding Yi

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 9-14.

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 9-14. DOI: 10.19912/j.0254-0096.tynxb.2023-1039

OPERATION OPTIMIZATION OF DATA CENTER WASTE HEAT SYSTEM CONSIDERING DEMAND RESPONSE

  • Wang Kui1,2, Wang Zhenyu1,2, Shen Rendong3, Chen Tianheng4, Ding Yi4
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Abstract

A waste heat utilization system for data centers integrating renewable energy is constructed, enabling efficient waste heat utilization. Additionally, to further reduce the system’s operating costs, a demand response mechanism based on user-side flexible load regulation is introduced to study the system’s performance under dynamic peak-shaving subsidy prices. The results show that when the subsidy prices are set to 0.149, 0.141, 0.190, 0.145 yuan/kWh respectively, the system achieves its highest net income of 266158.4 yuan. As the capacity of the heat storage device increases, the net income growth rate decreases from 10.4% to 1.6%, while renewable energy consumption shows a declining trend.

Key words

data centers / renewable energy / waste heat utilization / demand response

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Wang Kui, Wang Zhenyu, Shen Rendong, Chen Tianheng, Ding Yi. OPERATION OPTIMIZATION OF DATA CENTER WASTE HEAT SYSTEM CONSIDERING DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 9-14 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1039

References

[1] 华北电力大学. 华北电力大学与阿里巴巴实现全球首次数据中心与电力系统间协同调度[EB/OL].https://energy.ncepu.edu.cn/zxdt/yjydt/aa1a9f538ad3461f90f33704e2791695.htm.
North China Electric Power University. North China Electric Power University and Alibaba achieved the world’s first coordinated dispatching between data centers and power systems[EB/OL].https://energy.ncepu.edu.cn/zxdt/yjydt/aa1a9f538ad3461f90f33704e2791695.htm.
[2] HUANG Q H, SHAO S Q, ZHANG H N, et al.Development and composition of a data center heat recovery system and evaluation of annual operation performance[J]. Energy, 2019, 189: 116200.
[3] 周梅. 基于多规融合的供热规划策略研究[J]. 居舍, 2021(15): 173-174.
ZHOU M.Research on heating planning strategy based on multi planning integration[J]. Dwelling house, 2021(15): 173-174.
[4] 李金苡. 浅谈利用济南某数据中心余热的供暖方式[J]. 建筑热能通风空调, 2021, 40(9): 64-67.
LI J Y.Analysis of the supply heating utilization of Ji’nan data centre[J]. Building energy & environment, 2021, 40(9): 64-67.
[5] 黄若琳. 大型数据中心机房冷却系统研究与优化[D]. 重庆: 重庆大学, 2018.
HUANG R L.Research and optimization of cooling system in computer room of large data center[D]. Chongqing: Chongqing University, 2018.
[6] 李国柱, 崔美华, 黄凯良, 等. 数据中心余热利用现状及在建筑供暖中的应用[J]. 科学技术与工程, 2022, 22(26): 11287-11295.
LI G Z, CUI M H, HUANG K L, et al.Current situation of data center waste heat utilization and its application in building heating[J]. Science technology and engineering, 2022, 22(26): 11287-11295.
[7] XU Z W, LI H, XU W, et al.Investigation on the efficiency degradation characterization of low ambient temperature air source heat pump under partial load operation[J]. International journal of refrigeration, 2022, 133: 99-110.
[8] 张继红, 阚圣钧, 化玉伟, 等. 基于氢气储能的热电联供微电网容量优化配置[J]. 太阳能学报, 2022, 43(6): 428-434.
ZHANG J H, KAN S J, HUA Y W, et al.Capacity optimization of CHP microgrid based on hydrogen energy storage[J]. Acta energiae solaris sinica, 2022, 43(6): 428-434.
[9] 冯璐. 耦合储能的可再生能源系统优化研究[D]. 北京: 华北电力大学, 2021.
FENG L.Study on Optimization of renewable energy system with coupled energy storage[D]. Beijing: North China Electric Power University, 2021.
[10] 林涛, 刘航鹏, 赵参参, 等. 基于SSA-PSO-ANFIS的短期风速预测研究[J]. 太阳能学报, 2021, 42(3): 128-134.
LIN T, LIU H P, ZHAO S S, et al.Short-term wind speed prediction based on SSA-PSO-ANFIS[J]. Acta energiae solaris sinica, 2021, 42(3): 128-134.
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