IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v357y2024ics0306261923018378.html
   My bibliography  Save this article

Innovative approaches for deep decarbonization of data centers and building space heating networks: Modeling and comparison of novel waste heat recovery systems for liquid cooling systems

Author

Listed:
  • Lu, Tao
  • Lü, Xiaoshu
  • Välisuo, Petri
  • Zhang, Qunli
  • Clements-Croome, Derek

Abstract

The data usage surge drives greater data center demand, amplifying global CO2 emissions. Mitigating climate change necessitates reducing data center CO2 emissions. Reusing waste heat from data centers offers a potential energy efficiency boost and environmental impact reduction. This study utilizes liquid cooling technology to raise waste heat temperature for building space heating and introduces the concept of ‘data furnaces,’ where data centers directly supply waste heat to heat buildings on-site, reducing district heating consumption and lowering CO2 emissions. Efficiently designing a heat recovery heat exchanger system that accounts for both heat rejection and cooling sides of a liquid cooling system is crucial for achieving complete heat recovery without using heat pump, a commonly overlooked aspect in existing literature. To address this issue, we propose two heat exchanger schemes: connecting the building space heating network to the secondary side (Scheme 1) and the primary side (Scheme 2) of the cooling distribution unit. Implementing these innovations leads to the elimination of dependence on a heat pump, substantially cutting energy and CO2 emissions. Using TRNSYS software, we develop, model, and compare waste heat recovery schemes to curb district heating consumption and CO2 emissions. To demonstrate broad implications of the proposed approaches for energy efficiency and sustainability in the data centers and building space heating networks, a showcase study examines constant 25 kW waste heat from a direct-to-chip liquid-cooled rack in an office building with 285.7 MWh annual space heating demand. A novel waste heat recovery rate relationship graph is created to assist system design, uncovering an unexpected result in Scheme 2: waste heat recovery decreases as outdoor temperature falls. In contrast, Scheme 1 maintains a stable waste heat recovery rate around 25 kW, regardless of outdoor temperature fluctuations. As a result, Scheme 1 reuses 155.2 MWh of waste heat annually compared to 138 MWh for Scheme 2. Schemes 1 and 2 yield annual electricity savings of 2290.5 kWh and 905.2 kWh, respectively, for the cooling system. Both schemes achieve profitability within a year through a 25-year life cycle analysis (LCC) and substantially reduce CO2 emissions, with Scheme 1 saving 291,996 kgCO2 and Scheme 2 saving 258,192 kgCO2. The study addresses critical gaps in existing literature by emphasizes LCC. The proposed heat exchanger designs represent pioneering solutions for optimizing waste heat recovery, particularly in challenging climates. New findings offer substantial benefits to both liquid-cooled and air-cooled facilities, making significant contributions to achieve carbon neutrality in data center operations.

Suggested Citation

  • Lu, Tao & Lü, Xiaoshu & Välisuo, Petri & Zhang, Qunli & Clements-Croome, Derek, 2024. "Innovative approaches for deep decarbonization of data centers and building space heating networks: Modeling and comparison of novel waste heat recovery systems for liquid cooling systems," Applied Energy, Elsevier, vol. 357(C).
  • Handle: RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018378
    DOI: 10.1016/j.apenergy.2023.122473
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923018378
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.122473?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. 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.
    2. Alipour, Mehran & Deymi-Dashtebayaz, Mahdi & Asadi, Mostafa, 2023. "Investigation of energy, exergy, and economy of co-generation system of solar electricity and cooling using linear parabolic collector for a data center," Energy, Elsevier, vol. 279(C).
    3. Lindroos, Tomi J. & Mäki, Elina & Koponen, Kati & Hannula, Ilkka & Kiviluoma, Juha & Raitila, Jyrki, 2021. "Replacing fossil fuels with bioenergy in district heating – Comparison of technology options," Energy, Elsevier, vol. 231(C).
    4. Wahlroos, Mikko & Pärssinen, Matti & Rinne, Samuli & Syri, Sanna & Manner, Jukka, 2018. "Future views on waste heat utilization – Case of data centers in Northern Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1749-1764.
    5. Zimmermann, Severin & Meijer, Ingmar & Tiwari, Manish K. & Paredes, Stephan & Michel, Bruno & Poulikakos, Dimos, 2012. "Aquasar: A hot water cooled data center with direct energy reuse," Energy, Elsevier, vol. 43(1), pages 237-245.
    6. Paiho, Satu & Saastamoinen, Heidi, 2018. "How to develop district heating in Finland?," Energy Policy, Elsevier, vol. 122(C), pages 668-676.
    7. Habibi Khalaj, Ali & Halgamuge, Saman K., 2017. "A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system," Applied Energy, Elsevier, vol. 205(C), pages 1165-1188.
    8. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
    9. 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.
    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. 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).
    2. Huang, Qionghai & Shao, Shuangquan & Zhang, Hainan & Tian, Changqing, 2019. "Development and composition of a data center heat recovery system and evaluation of annual operation performance," Energy, Elsevier, vol. 189(C).
    3. Xiaofei Huang & Junwei Yan & Xuan Zhou & Yixin Wu & Shichen Hu, 2023. "Cooling Technologies for Internet Data Center in China: Principle, Energy Efficiency, and Applications," Energies, MDPI, vol. 16(20), pages 1-31, October.
    4. Fernqvist, Niklas & Broberg, Sarah & Torén, Johan & Svensson, Inger-Lise, 2023. "District heating as a flexibility service: Challenges in sector coupling for increased solar and wind power production in Sweden," Energy Policy, Elsevier, vol. 172(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. Vesterlund, Mattias & Borisová, Stanislava & Emilsson, Ellinor, 2024. "Data center excess heat for mealworm farming, an applied analysis for sustainable protein production," Applied Energy, Elsevier, vol. 353(PA).
    7. 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).
    8. 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.
    9. 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).
    10. Wansheng Yang & Lin Yang & Junjie Ou & Zhongqi Lin & Xudong Zhao, 2019. "Investigation of Heat Management in High Thermal Density Communication Cabinet by a Rear Door Liquid Cooling System," Energies, MDPI, vol. 12(22), pages 1-25, November.
    11. Leyla Amiri & Edris Madadian & Navid Bahrani & Seyed Ali Ghoreishi-Madiseh, 2021. "Techno-Economic Analysis of Waste Heat Utilization in Data Centers: Application of Absorption Chiller Systems," Energies, MDPI, vol. 14(9), pages 1-11, April.
    12. 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.
    13. Pardo-Bosch, Francesc & Blanco, Ana & Mendoza, Nora & Libreros, Bibiana & Tejedor, Blanca & Pujadas, Pablo, 2023. "Sustainable deployment of energy efficient district heating: city business model," Energy Policy, Elsevier, vol. 181(C).
    14. Kanbur, Baris Burak & Wu, Chenlong & Fan, Simiao & Duan, Fei, 2021. "System-level experimental investigations of the direct immersion cooling data center units with thermodynamic and thermoeconomic assessments," Energy, Elsevier, vol. 217(C).
    15. Aunedi, Marko & Pantaleo, Antonio Marco & Kuriyan, Kamal & Strbac, Goran & Shah, Nilay, 2020. "Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems," Applied Energy, Elsevier, vol. 276(C).
    16. Mazaher Haji Bashi & Gholamreza Yousefi & Claus Leth Bak & Jayakrishnan Radhakrishna Pillai, 2016. "Long Term Expected Revenue of Wind Farms Considering the Bidding Admission Uncertainty," Energies, MDPI, vol. 9(11), pages 1-17, November.
    17. Karlsson, Kenneth B. & Petrović, Stefan N. & Næraa, Rikke, 2016. "Heat supply planning for the ecological housing community Munksøgård," Energy, Elsevier, vol. 115(P3), pages 1733-1747.
    18. Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    19. Liu, Wen & Hu, Weihao & Lund, Henrik & Chen, Zhe, 2013. "Electric vehicles and large-scale integration of wind power – The case of Inner Mongolia in China," Applied Energy, Elsevier, vol. 104(C), pages 445-456.
    20. Amelia DIACONU & Maria-Loredana POPESCU & Sorin BURLACU & Ovidiu Cristian Andrei BUZOIANU, 2019. "Strategic Options For The Development Of Renewable Energy In The Context Of Globalization," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 1022-1029, November.

    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:appene:v:357:y:2024:i:c:s0306261923018378. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.