IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v17y2022ip411-420..html
   My bibliography  Save this article

Renewable energy configuration scheme of data center in cold area. A case study
[An overview of renewable energy resources and grid integration for commercial building applications]

Author

Listed:
  • Jiawen Yu
  • Yanqiu Yan
  • Yiqiang Jiang
  • Jie Ge

Abstract

The core of building energy allocation is to reduce the power load and power consumption through the reasonable allocation of energy equipment, so as to reduce the capacity of the supply side and save investment. In this way, the configuration of energy schemes in data center is conducted in this paper. According to the results of load forecasting, the energy supply scheme of each building in the planning area is determined, including ground source heat pump (GSHP) system, solar water heating system and heat pipe air conditioning system. In addition, feasibility analysis and economic analysis of each configuration scheme are carried out, and the relatively reasonable scheme is selected. It is found that GSHP system can be used in canteen building, solar hot water system can be used as auxiliary for apartment buildings and joint operation of heat pipe air conditioning unit and traditional machine room air conditioning unit is the most economical for data room. Through the research of this paper, a feasible method for the reasonable allocation of energy is provided in the data center planning stage.

Suggested Citation

  • Jiawen Yu & Yanqiu Yan & Yiqiang Jiang & Jie Ge, 2022. "Renewable energy configuration scheme of data center in cold area. A case study [An overview of renewable energy resources and grid integration for commercial building applications]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 411-420.
    • Handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:411-420.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctac014
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. 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.
    2. Wahlroos, Mikko & Pärssinen, Matti & Manner, Jukka & Syri, Sanna, 2017. "Utilizing data center waste heat in district heating – Impacts on energy efficiency and prospects for low-temperature district heating networks," Energy, Elsevier, vol. 140(P1), pages 1228-1238.
    3. Zhang, Penglei & Wang, Baolong & Wu, Wei & Shi, Wenxing & Li, Xianting, 2015. "Heat recovery from Internet data centers for space heating based on an integrated air conditioner with thermosyphon," Renewable Energy, Elsevier, vol. 80(C), pages 396-406.
    4. Kwon, Soongeol, 2020. "Ensuring renewable energy utilization with quality of service guarantee for energy-efficient data center operations," Applied Energy, Elsevier, vol. 276(C).
    Full references (including those not matched with items on IDEAS)

    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. Cristina Ramos Cáceres & Suzanna Törnroth & Mattias Vesterlund & Andreas Johansson & Marcus Sandberg, 2022. "Data-Center Farming: Exploring the Potential of Industrial Symbiosis in a Subarctic Region," Sustainability, MDPI, vol. 14(5), pages 1-23, February.
    2. 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).
    3. 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).
    4. 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).
    5. 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).
    6. Ali Khalid Shaker Al-Sayyab & Joaquín Navarro-Esbrí & Angel Barragán-Cervera & Adrián Mota-Babiloni, 2022. "Techno-economic analysis of a PV/T waste heat–driven compound ejector-heat pump for simultaneous data centre cooling and district heating using low global warming potential refrigerants," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(7), pages 1-24, October.
    7. Huang, Pei & Copertaro, Benedetta & Zhang, Xingxing & Shen, Jingchun & Löfgren, Isabelle & Rönnelid, Mats & Fahlen, Jan & Andersson, Dan & Svanfeldt, Mikael, 2020. "A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating," Applied Energy, Elsevier, vol. 258(C).
    8. Yu, Jiawen & Jiang, Yiqiang & Yan, Yanqiu, 2019. "A simulation study on heat recovery of data center: A case study in Harbin, China," Renewable Energy, Elsevier, vol. 130(C), pages 154-173.
    9. Luo, Yang & Andresen, John & Clarke, Henry & Rajendra, Matthew & Maroto-Valer, Mercedes, 2019. "A decision support system for waste heat recovery and energy efficiency improvement in data centres," Applied Energy, Elsevier, vol. 250(C), pages 1217-1224.
    10. Jodeiri, A.M. & Goldsworthy, M.J. & Buffa, S. & Cozzini, M., 2022. "Role of sustainable heat sources in transition towards fourth generation district heating – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    11. Putna, Ondřej & Janošťák, František & Šomplák, Radovan & Pavlas, Martin, 2018. "Demand modelling in district heating systems within the conceptual design of a waste-to-energy plant," Energy, Elsevier, vol. 163(C), pages 1125-1139.
    12. 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.
    13. 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.
    14. 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).
    15. Wang, Fengjuan & Lv, Chengwei & Xu, Jiuping, 2023. "Carbon awareness oriented data center location and configuration: An integrated optimization method," Energy, Elsevier, vol. 278(C).
    16. Rämä, Miika & Wahlroos, Mikko, 2018. "Introduction of new decentralised renewable heat supply in an existing district heating system," Energy, Elsevier, vol. 154(C), pages 68-79.
    17. 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).
    18. Johan Simonsson & Khalid Tourkey Atta & Gerald Schweiger & Wolfgang Birk, 2021. "Experiences from City-Scale Simulation of Thermal Grids," Resources, MDPI, vol. 10(2), pages 1-20, January.
    19. Francesco Neirotti & Michel Noussan & Stefano Riverso & Giorgio Manganini, 2019. "Analysis of Different Strategies for Lowering the Operation Temperature in Existing District Heating Networks," Energies, MDPI, vol. 12(2), pages 1-17, January.
    20. Pauli Hiltunen & Sanna Syri, 2020. "Highly Renewable District Heat for Espoo Utilizing Waste Heat Sources," Energies, MDPI, vol. 13(14), pages 1-21, July.

    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:oup:ijlctc:v:17:y:2022:i::p:411-420.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.