IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i24p9274-d996186.html
   My bibliography  Save this article

Study on the Performance of a Newly Designed Cooling System Utilizing Dam Water for Internet Data Centers

Author

Listed:
  • Selorm Kwaku Anka

    (Graduate School of Department of Mechanical Engineering, Hanbat National University, Daejeon 34158, Republic of Korea)

  • Nicholas Lamptey Boafo

    (Graduate School of Department of Mechanical Engineering, Hanbat National University, Daejeon 34158, Republic of Korea)

  • Kwesi Mensah

    (Lucky Core Insulating Materials Manufacturing, LLC, Dubai, United Arab Emirates)

  • Samuel Boahen

    (Department of Mechanical Engineering, Kwame Nkrumah University of Science and Technology, PMB, Kumasi AK-039-5028, Ghana)

  • Kwang Ho Lee

    (Department of Architecture, Korea University, Seoul 02841, Republic of Korea)

  • Jong Min Choi

    (Department of Mechanical Engineering, Hanbat National University, Daejeon 34158, Republic of Korea)

Abstract

A novel energy-saving hybrid cooling system that combines a forced-cooling cycle and a free-cooling cycle was developed to increase the energy efficiency of cooling systems in year-round operation of an internet data center with high heat loads. This system effectively utilizes a dam deep water source to reduce energy consumption in internet data centers. The hybrid cooling system operates in forced-cooling mode when the entering water temperature exceeds the mode change temperature of 9 °C, but switches to free-cooling mode when the ambient temperature falls below the mode change temperature. In this paper, the cooling performance of the hybrid system was assessed under various operating conditions based on entering water temperature fluctuation. Because the cooling effectiveness of this type of system is highly dependent on the outside climate, its usefulness and suitability for different periods and zones must be investigated. The annual energy saving performance of the new system was estimated and compared to a conventional cooling system in terms of the integrated coefficient of performance, based on the hourly weather air temperature and water temperature bin data collected from 16 cities of different climate zones in South Korea. The experimental findings revealed that the novel hybrid internet data center cooling system showed a 67% annual operating performance over a conventional air source internet data center cooling system due to the adoption of a dam deep water source.

Suggested Citation

  • Selorm Kwaku Anka & Nicholas Lamptey Boafo & Kwesi Mensah & Samuel Boahen & Kwang Ho Lee & Jong Min Choi, 2022. "Study on the Performance of a Newly Designed Cooling System Utilizing Dam Water for Internet Data Centers," Energies, MDPI, vol. 15(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9274-:d:996186
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/24/9274/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/24/9274/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Han, Zongwei & Wei, Haotian & Sun, Xiaoqing & Bai, Chenguang & Xue, Da & Li, Xiuming, 2020. "Study on influence of operating parameters of data center air conditioning system based on the concept of on-demand cooling," Renewable Energy, Elsevier, vol. 160(C), pages 99-111.
    2. Han, Zongwei & Zhang, Yanqing & Meng, Xin & Liu, Qiankun & Li, Weiliang & Han, Yu & Zhang, Yanhong, 2016. "Simulation study on the operating characteristics of the heat pipe for combined evaporative cooling of computer room air-conditioning system," Energy, Elsevier, vol. 98(C), pages 15-25.
    3. Meng, Fanxi & Zhang, Quan & Lin, Yaolin & Zou, Sikai & Fu, Jiyao & Liu, Baochang & Wang, Wei & Ma, Xiaowei & Du, Sheng, 2022. "Field study on the performance of a thermosyphon and mechanical refrigeration hybrid cooling system in a 5G telecommunication base station," Energy, Elsevier, vol. 252(C).
    4. Liu, Yuting & Yang, Xu & Li, Junming & Zhao, Xudong, 2018. "Energy savings of hybrid dew-point evaporative cooler and micro-channel separated heat pipe cooling systems for computer data centers," Energy, Elsevier, vol. 163(C), pages 629-640.
    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. Sun, Xiaoqing & Zhang, Ce & Han, Zongwei & Dong, Jiaxiang & Zhang, Yiqi & Li, Mengyi & Li, Xiuming & Wang, Qinghai & Wen, Zhenwu & Zheng, Baoli, 2023. "Experimental study on a novel pump-driven heat pipe/vapor compression system for rack-level cooling of data centers," Energy, Elsevier, vol. 274(C).
    2. Heran Jing & Zhenhua Quan & Yaohua Zhao & Lincheng Wang & Ruyang Ren & Ruixue Dong & Yuting Wu, 2022. "Experimental Investigation of Heat Transfer and Flow Characteristics of Split Natural Cooling System for Data Center Based on Micro Heat Pipe Array," Energies, MDPI, vol. 15(12), pages 1-22, June.
    3. 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.
    4. 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).
    5. Lee, Yee-Ting & Wen, Chih-Yung & Shih, Yang-Cheng & Li, Zhengtong & Yang, An-Shik, 2022. "Numerical and experimental investigations on thermal management for data center with cold aisle containment configuration," Applied Energy, Elsevier, vol. 307(C).
    6. Leehter Yao & Jin-Hao Huang, 2019. "Multi-Objective Optimization of Energy Saving Control for Air Conditioning System in Data Center," Energies, MDPI, vol. 12(8), pages 1-16, April.
    7. 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.
    8. Ji Li & Yuanwei Liu & Ruixue Zhang & Zhijian Liu & Wei Xu & Biao Qiao & Xiaomei Feng, 2018. "Load Distribution of Semi-Central Evaporative Cooling Air-Conditioning System Based on the TRNSYS Platform," Energies, MDPI, vol. 11(5), pages 1-15, May.
    9. 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.
    10. Hadeed Ashraf & Muhammad Sultan & Uzair Sajjad & Muhammad Wakil Shahzad & Muhammad Farooq & Sobhy M. Ibrahim & Muhammad Usman Khan & Muhammad Ahmad Jamil, 2022. "Potential Investigation of Membrane Energy Recovery Ventilators for the Management of Building Air-Conditioning Loads," Energies, MDPI, vol. 15(6), pages 1-23, March.
    11. Alexandr Tsoy & Alexandr Granovskiy & Dmitriy Koretskiy & Diana Tsoy-Davis & Nikita Veselskiy & Mikhail Alechshenko & Alexandr Minayev & Inara Kim & Rita Jamasheva, 2023. "Experimental Study of the Heat Flow and Energy Consumption during Liquid Cooling Due to Radiative Heat Transfer in Winter," Energies, MDPI, vol. 16(13), pages 1-18, June.
    12. Xiao, Xin & Liu, Jinjin, 2024. "A state-of-art review of dew point evaporative cooling technology and integrated applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    13. Zhang, Yiqi & Li, Mengyi & Dong, Jiaxiang & Zhang, Ce & Li, Xiuming & Han, Zongwei, 2023. "Study on the impacts of refrigerant leakage on the performance and reliability of datacenter composite air conditioning system," Energy, Elsevier, vol. 284(C).
    14. Han, Zongwei & Wei, Haotian & Sun, Xiaoqing & Bai, Chenguang & Xue, Da & Li, Xiuming, 2020. "Study on influence of operating parameters of data center air conditioning system based on the concept of on-demand cooling," Renewable Energy, Elsevier, vol. 160(C), pages 99-111.
    15. Cao, Jingyu & Zheng, Zhanying & Asim, Muhammad & Hu, Mingke & Wang, Qiliang & Su, Yuehong & Pei, Gang & Leung, Michael K.H., 2020. "A review on independent and integrated/coupled two-phase loop thermosyphons," Applied Energy, Elsevier, vol. 280(C).
    16. Zeng, Bo & Zhang, Weixiang & Hu, Pinduan & Sun, Jing & Gong, Dunwei, 2023. "Synergetic renewable generation allocation and 5G base station placement for decarbonizing development of power distribution system: A multi-objective interval evolutionary optimization approach," Applied Energy, Elsevier, vol. 351(C).
    17. 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).
    18. Muhammad Aleem & Ghulam Hussain & Muhammad Sultan & Takahiko Miyazaki & Muhammad H. Mahmood & Muhammad I. Sabir & Abdul Nasir & Faizan Shabir & Zahid M. Khan, 2020. "Experimental Investigation of Desiccant Dehumidification Cooling System for Climatic Conditions of Multan (Pakistan)," Energies, MDPI, vol. 13(21), pages 1-23, October.
    19. Cui, Yuanlong & Zhu, Jie & Zoras, Stamatis & Liu, Lin, 2021. "Review of the recent advances in dew point evaporative cooling technology: 3E (energy, economic and environmental) assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    20. Shazia Noor & Hadeed Ashraf & Muhammad Sultan & Zahid Mahmood Khan, 2020. "Evaporative Cooling Options for Building Air-Conditioning: A Comprehensive Study for Climatic Conditions of Multan (Pakistan)," Energies, MDPI, vol. 13(12), pages 1-23, June.

    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:gam:jeners:v:15:y:2022:i:24:p:9274-:d:996186. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.