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Coordinated optimal scheduling of integrated energy system for data center based on computing load shifting

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  • Wang, Jiangjiang
  • Deng, Hongda
  • Liu, Yi
  • Guo, Zeqing
  • Wang, Yongzhen

Abstract

High-efficiency uninterruptable power supplies and sustainable energy systems are essential to realize data centers more sustainable and environmentally friendly. Considering the coupling between computing tasks and power consumption, this paper proposes a coordinated optimization model of operational scheduling of integrated energy system (IES) for data center according to computing load transfer. An IES consisting of solar photovoltaic arrays, gas engine, and organic Rankine cycle is proposed and optimized to obtain the optimum component capacities. Then, the computing tasks of servers with task shifting are modeled to characterize the arrival time, execution time, and deadline of different tasks. The operation scheduling optimization model of components in the IES with the computing task transfer is proposed to minimize the operating costs of data center and maximize the user satisfaction level of computing tasks. The impacts of objective weights on the dispatch strategies of the IES and computing tasks are discussed. The optimization results in a case study demonstrate that the data center can effectively realize the transfer of electricity and cooling loads by transferring computing tasks to improve the IES performances. The optimum dispatch strategies with task transfer saves operational cost and fuel consumption by 2.76% and 2.56%, respectively, and the carbon dioxide emission is reduced by 6.31% in non-heating season. Their benefits in heating season are 3.47%, 4.11%, and 2.17%, respectively.

Suggested Citation

  • Wang, Jiangjiang & Deng, Hongda & Liu, Yi & Guo, Zeqing & Wang, Yongzhen, 2023. "Coordinated optimal scheduling of integrated energy system for data center based on computing load shifting," Energy, Elsevier, vol. 267(C).
    • Handle: RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034727
    DOI: 10.1016/j.energy.2022.126585
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    References listed on IDEAS

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    1. Guo, Caishan & Luo, Fengji & Cai, Zexiang & Dong, Zhao Yang, 2021. "Integrated energy systems of data centers and smart grids: State-of-the-art and future opportunities," Applied Energy, Elsevier, vol. 301(C).
    2. Kwon, Soongeol, 2020. "Ensuring renewable energy utilization with quality of service guarantee for energy-efficient data center operations," Applied Energy, Elsevier, vol. 276(C).
    3. Coelho, António & Iria, José & Soares, Filipe, 2021. "Network-secure bidding optimization of aggregators of multi-energy systems in electricity, gas, and carbon markets," Applied Energy, Elsevier, vol. 301(C).
    4. Guo, Caishan & Luo, Fengji & Cai, Zexiang & Dong, Zhao Yang & Zhang, Rui, 2021. "Integrated planning of internet data centers and battery energy storage systems in smart grids," Applied Energy, Elsevier, vol. 281(C).
    5. Cheung, Howard & Wang, Shengwei & Zhuang, Chaoqun & Gu, Jiefan, 2018. "A simplified power consumption model of information technology (IT) equipment in data centers for energy system real-time dynamic simulation," Applied Energy, Elsevier, vol. 222(C), pages 329-342.
    6. Yang, Ting & Zhao, Yingjie & Pen, Haibo & Wang, Zhaoxia, 2018. "Data center holistic demand response algorithm to smooth microgrid tie-line power fluctuation," Applied Energy, Elsevier, vol. 231(C), pages 277-287.
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    1. Duan, Pengfei & Zhao, Bingxu & Zhang, Xinghui & Fen, Mengdan, 2023. "A day-ahead optimal operation strategy for integrated energy systems in multi-public buildings based on cooperative game," Energy, Elsevier, vol. 275(C).
    2. Weijian Ding & Behzad Ebrahimi & Byoung-Do Kim & Connie L. Devenport & Amy E. Childress, 2024. "Analysis of Anthropogenic Waste Heat Emission from an Academic Data Center," Energies, MDPI, vol. 17(8), pages 1-20, April.

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