Research on the Optimization Scheduling of Integrated Energy System Considering Heat Recovery from Data Center
DOI:
https://doi.org/10.54097/dd0wb364Keywords:
Integrated energy system, Optimal scheduling, Data Center, Waste heat recoveryAbstract
With the explosive growth of data centers, a large amount of waste heat resources generated by their operation need to be efficiently utilized. In order to improve the energy utilization efficiency of the integrated energy system and reduce the operating cost, an optimal scheduling model of the integrated energy system considering the waste heat recovery of the data center is proposed. Firstly, a data center integrated energy system framework including wind power, photovoltaic, gas turbine, electric boiler, heat pump and absorption chiller is constructed, and a data center waste heat recovery model is established. The heat dissipation is upgraded by heat pump and connected to the system heating network and absorption chiller. Secondly, with the goal of minimizing the sum of total operating costs, considering the power balance of electricity, heat and cold and the constraints of equipment output, an economic dispatch model is formed. Simulation verification is performed by setting a comparison scenario with or without waste heat recovery. The results show that after the waste heat recovery is enabled, the total cost of the system is reduced by 7.95%, and the cost of gas purchase is reduced by 16.86 %. It effectively replaces the gas heating and drives the absorption refrigeration, and realizes the cascade utilization of thermal energy and the consumption of renewable energy.
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[1] Lu Yuxin, Zhao Yun, Yin Yanhe, et al. Multi-objective Optimal Scheduling of Electric-thermal-hydrogen Integrated Energy System Considering Carbon Emission Reduction and Waste Heat Reuse from Data Center [J]. Journal of Global Energy Interconnection, 2025, 8(5): 651-661.
[2] Wu Chengbang, Cheng Zhijiang, Lu Haifeng, et al. Spatio-Temporal Joint Planning for Integrated Energy Systems with Internet Data Center Considering Privacy Preservation [J]. Electric Power Construction, 2025, 46(4): 84-98.
[3] Ding Z, Xie L, Lu Y, et al. Emission-aware stochastic resource planning scheme for data center microgrid considering batch workload scheduling and risk management [J]. IEEE Transactions on Industry Applications, 2018, 54(6): 5599-5608.
[4] Lan Zhou, Jiang Chenwei, Gu Jiting, et al. Optimal Dispatch and Demand Response Strategies of Data Centers for Promoting Accommodation of Renewable Energy Generation and Reducing Carbon Emission [J]. Electric Power Construction, 2022, 43(4): 1-9.
[5] Wen Xiyu, Zhu Jizhong, Li Shenglin, et al. Low-carbon economic dispatch strategy for multi-data center virtual power plant based on spatiotemporal coordination [J]. Automation of Electric Power Systems, 2024, 48(18): 56-65.
[6] Li Linhong, He Shuaijia, Gao Hongjun, et al. A Low-carbon Planning Method for Distribution Network Considering Multi-station Integration of Energy Station, Substation and Data Center [J]. Power System Technology, 2026, 50(2): 494-504.
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