IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v264y2023ics0360544222029875.html
   My bibliography  Save this article

Waste heat reutilization and integrated demand response for decentralized optimization of data centers

Author

Listed:
  • Han, Ouzhu
  • Ding, Tao
  • Mu, Chenggang
  • Jia, Wenhao
  • Ma, Zhoujun

Abstract

In recent years, the energy consumption of data centers (DCs) has increased rapidly. Since the demand response (DR) capability of DCs is considerable, DCs play an important role in DR programs. In this work, we further focus on the DCs' integrated demand response (IDR) capability which owes to its temporally and spatially shiftable electricity and heat. To make full use of waste heat retained in the coolant, we design a waste heat recovery process for waste heat reutilization. Moreover, we propose a decentralized optimization algorithm based on the alternating direction multiplier method (ADMM) to protect the inner sensitive data of DCs. Numerical results show that energy purchase costs can be effectively reduced for DCs with IDR capability. It is also proved that the reutilized waste heat constitutes an important part of the heat supply. Besides, the convergence performance of the proposed algorithm is verified based on large quantities of simulations.

Suggested Citation

  • Han, Ouzhu & Ding, Tao & Mu, Chenggang & Jia, Wenhao & Ma, Zhoujun, 2023. "Waste heat reutilization and integrated demand response for decentralized optimization of data centers," Energy, Elsevier, vol. 264(C).
  • Handle: RePEc:eee:energy:v:264:y:2023:i:c:s0360544222029875
    DOI: 10.1016/j.energy.2022.126101
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222029875
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.126101?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sermsuk, Maytungkorn & Sukjai, Yanin & Wiboonrat, Montri & Kiatkittipong, Kunlanan, 2022. "Feasibility study of a combined system of electricity generation and cooling from liquefied natural gas to reduce the electricity cost of data centres," Energy, Elsevier, vol. 254(PA).
    2. Hiltunen, Pauli & Syri, Sanna, 2021. "Low-temperature waste heat enabling abandoning coal in Espoo district heating system," Energy, Elsevier, vol. 231(C).
    3. Marshall, Z.M. & Duquette, J., 2022. "A techno-economic evaluation of low global warming potential heat pump assisted organic Rankine cycle systems for data center waste heat recovery," Energy, Elsevier, vol. 242(C).
    4. Khosravi, A. & Laukkanen, T. & Vuorinen, V. & Syri, S., 2021. "Waste heat recovery from a data centre and 5G smart poles for low-temperature district heating network," Energy, Elsevier, vol. 218(C).
    5. Li, Jian & Jurasz, Jakub & Li, Hailong & Tao, Wen-Quan & Duan, Yuanyuan & Yan, Jinyue, 2020. "A new indicator for a fair comparison on the energy performance of data centers," Applied Energy, Elsevier, vol. 276(C).
    6. Ebrahimi, Khosrow & Jones, Gerard F. & Fleischer, Amy S., 2015. "Thermo-economic analysis of steady state waste heat recovery in data centers using absorption refrigeration," Applied Energy, Elsevier, vol. 139(C), pages 384-397.
    7. Han, Zongwei & Ji, Qiang & Wei, Haotian & Xue, Da & Sun, Xiaoqing & Zhang, Xueping & Li, Xiuming, 2020. "Simulation study on performance of data center air-conditioning system with novel evaporative condenser," Energy, Elsevier, vol. 210(C).
    8. Li, Haoran & Hou, Juan & Hong, Tianzhen & Ding, Yuemin & Nord, Natasa, 2021. "Energy, economic, and environmental analysis of integration of thermal energy storage into district heating systems using waste heat from data centres," Energy, Elsevier, vol. 219(C).
    9. Cho, Jinkyun & Kim, Youngmo, 2021. "Development of modular air containment system: Thermal performance optimization of row-based cooling for high-density data centers," Energy, Elsevier, vol. 231(C).
    10. Chen, Xiaoyuan & Jiang, Shan & Chen, Yu & Lei, Yi & Zhang, Donghui & Zhang, Mingshun & Gou, Huayu & Shen, Boyang, 2022. "A 10 MW class data center with ultra-dense high-efficiency energy distribution: Design and economic evaluation of superconducting DC busbar networks," Energy, Elsevier, vol. 250(C).
    11. Shao, Shuangquan & Liu, Haichao & Zhang, Hainan & Tian, Changqing, 2019. "Experimental investigation on a loop thermosyphon with evaporative condenser for free cooling of data centers," Energy, Elsevier, vol. 185(C), pages 829-836.
    12. 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).
    13. Ji, Haoran & Chen, Sirui & Yu, Hao & Li, Peng & Yan, Jinyue & Song, Jieying & Wang, Chengshan, 2022. "Robust operation for minimizing power consumption of data centers with flexible substation integration," Energy, Elsevier, vol. 248(C).
    14. Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuan, Yi & Ding, Tao & Chang, Xinyue & Jia, Wenhao & Xue, Yixun, 2024. "A distributed multi-objective optimization method for scheduling of integrated electricity and hydrogen systems," Applied Energy, Elsevier, vol. 355(C).
    2. Han, Ouzhu & Ding, Tao & Yang, Miao & Jia, Wenhao & He, Xinran & Ma, Zhoujun, 2024. "A novel 4-level joint optimal dispatch for demand response of data centers with district autonomy realization," Applied Energy, Elsevier, vol. 358(C).
    3. Zhou, Jing & Kanbur, Baris Burak & Le, Duc Van & Tan, Rui & Duan, Fei, 2023. "Multi-criteria assessments of increasing supply air temperature in tropical data center," Energy, Elsevier, vol. 271(C).
    4. Li, Weiwei & Qian, Tong & Zhao, Wei & Huang, Wenwei & Zhang, Yin & Xie, Xuehua & Tang, Wenhu, 2023. "Decentralized optimization for integrated electricity–heat systems with data center based energy hub considering communication packet loss," Applied Energy, Elsevier, vol. 350(C).
    5. Barone, Giovanni & Buonomano, Annamaria & Giuzio, Giovanni Francesco & Palombo, Adolfo, 2023. "Towards zero energy infrastructure buildings: optimal design of envelope and cooling system," Energy, Elsevier, vol. 279(C).
    6. Zheng, Xidong & Zhou, Sheng & Jin, Tao, 2023. "A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data integration: A new provincial perspective," Energy, Elsevier, vol. 283(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuan, Xiaolei & Liang, Yumin & Hu, Xinyi & Xu, Yizhe & Chen, Yongbao & Kosonen, Risto, 2023. "Waste heat recoveries in data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    2. Zhou, Jing & Kanbur, Baris Burak & Le, Duc Van & Tan, Rui & Duan, Fei, 2023. "Multi-criteria assessments of increasing supply air temperature in tropical data center," Energy, Elsevier, vol. 271(C).
    3. Chen, Xiaoyuan & Zhang, Mingshun & Jiang, Shan & Gou, Huayu & Zhou, Pang & Yang, Ruohuan & Shen, Boyang, 2023. "Energy reliability enhancement of a data center/wind hybrid DC network using superconducting magnetic energy storage," Energy, Elsevier, vol. 263(PA).
    4. Hou, Juan & Li, Haoran & Nord, Natasa & Huang, Gongsheng, 2023. "Model predictive control for a university heat prosumer with data centre waste heat and thermal energy storage," Energy, Elsevier, vol. 267(C).
    5. Han, Ouzhu & Ding, Tao & Zhang, Xiaosheng & Mu, Chenggang & He, Xinran & Zhang, Hongji & Jia, Wenhao & Ma, Zhoujun, 2023. "A shared energy storage business model for data center clusters considering renewable energy uncertainties," Renewable Energy, Elsevier, vol. 202(C), pages 1273-1290.
    6. Ye, Guisen & Gao, Feng & Fang, Jingyang, 2022. "A mission-driven two-step virtual machine commitment for energy saving of modern data centers through UPS and server coordinated optimizations," Applied Energy, Elsevier, vol. 322(C).
    7. Li, Weiwei & Qian, Tong & Zhang, Yin & Shen, Yueqing & Wu, Chenghu & Tang, Wenhu, 2023. "Distributionally robust chance-constrained planning for regional integrated electricity–heat systems with data centers considering wind power uncertainty," Applied Energy, Elsevier, vol. 336(C).
    8. Ji, Haoran & Chen, Sirui & Yu, Hao & Li, Peng & Yan, Jinyue & Song, Jieying & Wang, Chengshan, 2022. "Robust operation for minimizing power consumption of data centers with flexible substation integration," Energy, Elsevier, vol. 248(C).
    9. Li, Chao & Mao, Ruiyong & Wang, Yong & Zhang, Jun & Lan, Jiang & Zhang, Zujing, 2024. "Experimental study on direct evaporative cooling for free cooling of data centers," Energy, Elsevier, vol. 288(C).
    10. Isazadeh, Amin & Ziviani, Davide & Claridge, David E., 2023. "Global trends, performance metrics, and energy reduction measures in datacom facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    11. Tian, Tong & Wang, Xinyue & Liu, Yang & Yang, Xuan & Sun, Bo & Li, Ji, 2023. "Nano-engineering enabled heat pipe battery: A powerful heat transfer infrastructure with capability of power generation," Applied Energy, Elsevier, vol. 348(C).
    12. Chen, Boyu & Che, Yanbo & Zheng, Zhihao & Zhao, Shuaijun, 2023. "Multi-objective robust optimal bidding strategy for a data center operator based on bi-level optimization," Energy, Elsevier, vol. 269(C).
    13. Liu, Xiaoou, 2024. "Research on collaborative scheduling of internet data center and regional integrated energy system based on electricity-heat-water coupling," Energy, Elsevier, vol. 292(C).
    14. Zhang, Hainan & Tian, Yaling & Tian, Changqing & Zhai, Zhiqiang, 2023. "Effect of key structure and working condition parameters on a compact flat-evaporator loop heat pipe for chip cooling of data centers," Energy, Elsevier, vol. 284(C).
    15. Wang, Zhiying & Wang, Yang & Ji, Haoran & Hasanien, Hany M. & Zhao, Jinli & Yu, Lei & He, Jiafeng & Yu, Hao & Li, Peng, 2024. "Distributionally robust planning for data center park considering operational economy and reliability," Energy, Elsevier, vol. 290(C).
    16. Vytautas Bocullo & Linas Martišauskas & Ramūnas Gatautis & Otilija Vonžudaitė & Rimantas Bakas & Darius Milčius & Rytis Venčaitis & Darius Pupeikis, 2023. "A Digital Twin Approach to City Block Renovation Using RES Technologies," Sustainability, MDPI, vol. 15(12), pages 1-26, June.
    17. Li, Haoran & Hou, Juan & Hong, Tianzhen & Nord, Natasa, 2022. "Distinguish between the economic optimal and lowest distribution temperatures for heat-prosumer-based district heating systems with short-term thermal energy storage," Energy, Elsevier, vol. 248(C).
    18. Lan, Yun Cheng & Li, Cheng & Wang, Sui Lin, 2019. "Parabolic antenna snow melting and removal using waste heat from the transmitter room," Energy, Elsevier, vol. 181(C), pages 738-744.
    19. Manal Ayyad Dhif Alshammry & Saqib Muneer, 2023. "The influence of economic development, capital formation, and internet use on environmental degradation in Saudi Arabia," Future Business Journal, Springer, vol. 9(1), pages 1-16, December.
    20. Xia, Guanghui & Zhuang, Dawei & Ding, Guoliang & Lu, Jingchao, 2020. "A quasi-three-dimensional distributed parameter model of micro-channel separated heat pipe applied for cooling telecommunication cabinets," Applied Energy, Elsevier, vol. 276(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:264:y:2023:i:c:s0360544222029875. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.