IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i8p11260-11284d54389.html
   My bibliography  Save this article

The Water Footprint of Data Centers

Author

Listed:
  • Bora Ristic

    (Center for Environmental Policy, Imperial College London, London SW7 1NA, UK)

  • Kaveh Madani

    (Center for Environmental Policy, Imperial College London, London SW7 1NA, UK)

  • Zen Makuch

    (Center for Environmental Policy, Imperial College London, London SW7 1NA, UK)

Abstract

The internet and associated Information and Communications Technologies (ICT) are diffusing at an astounding pace. As data centers (DCs) proliferate to accommodate this rising demand, their environmental impacts grow too. While the energy efficiency of DCs has been researched extensively, their water footprint (WF) has so far received little to no attention. This article conducts a preliminary WF accounting for cooling and energy consumption in DCs. The WF of DCs is estimated to be between 1047 and 151,061 m 3 /TJ. Outbound DC data traffic generates a WF of 1–205 liters per gigabyte (roughly equal to the WF of 1 kg of tomatos at the higher end). It is found that, typically, energy consumption constitues by far the greatest share of DC WF, but the level of uncertainty associated with the WF of different energy sources used by DCs makes a comprehensive assessment of DCs’ water use efficiency very challenging. Much better understanding of DC WF is urgently needed if a meaningful evaluation of this rapidly spreading service technology is to be gleaned and response measures are to be put into effect.

Suggested Citation

  • Bora Ristic & Kaveh Madani & Zen Makuch, 2015. "The Water Footprint of Data Centers," Sustainability, MDPI, vol. 7(8), pages 1-25, August.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:11260-11284:d:54389
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/8/11260/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/7/8/11260/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eric Masanet & Arman Shehabi & Jonathan Koomey, 2013. "Characteristics of low-carbon data centres," Nature Climate Change, Nature, vol. 3(7), pages 627-630, July.
    2. Depoorter, Victor & Oró, Eduard & Salom, Jaume, 2015. "The location as an energy efficiency and renewable energy supply measure for data centres in Europe," Applied Energy, Elsevier, vol. 140(C), pages 338-349.
    3. Saeed Hadian & Kaveh Madani, 2013. "The Water Demand of Energy: Implications for Sustainable Energy Policy Development," Sustainability, MDPI, vol. 5(11), pages 1-14, November.
    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. Jing Ni & Bowen Jin & Bo Zhang & Xiaowei Wang, 2017. "Simulation of Thermal Distribution and Airflow for Efficient Energy Consumption in a Small Data Centers," Sustainability, MDPI, vol. 9(4), pages 1-16, April.
    2. Mohamed Sameer Hoosain & Babu Sena Paul & Susanna Kass & Seeram Ramakrishna, 2023. "Tools Towards the Sustainability and Circularity of Data Centers," Circular Economy and Sustainability, Springer, vol. 3(1), pages 173-197, March.
    3. Arjen Y. Hoekstra & Ashok K. Chapagain & Guoping Zhang, 2015. "Water Footprints and Sustainable Water Allocation," Sustainability, MDPI, vol. 8(1), pages 1-6, December.
    4. Etienne Romsom & Kathryn McPhail, 2020. "The energy transition in Asia: Country priorities, fuel types, and energy decisions," WIDER Working Paper Series wp-2020-48, World Institute for Development Economic Research (UNU-WIDER).

    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. Jerez Monsalves, Juan & Bergaentzlé, Claire & Keles, Dogan, 2023. "Impacts of flexible-cooling and waste-heat recovery from data centres on energy systems: A Danish case study," Energy, Elsevier, vol. 281(C).
    2. Shuja, Junaid & Gani, Abdullah & Shamshirband, Shahaboddin & Ahmad, Raja Wasim & Bilal, Kashif, 2016. "Sustainable Cloud Data Centers: A survey of enabling techniques and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 195-214.
    3. Wang, Fengjuan & Lv, Chengwei & Xu, Jiuping, 2023. "Carbon awareness oriented data center location and configuration: An integrated optimization method," Energy, Elsevier, vol. 278(C).
    4. Elena Helerea & Marius D. Calin & Cristian Musuroi, 2023. "Water Energy Nexus and Energy Transition—A Review," Energies, MDPI, vol. 16(4), pages 1-31, February.
    5. Shaikh, Mohammad A. & Kucukvar, Murat & Onat, Nuri Cihat & Kirkil, Gokhan, 2017. "A framework for water and carbon footprint analysis of national electricity production scenarios," Energy, Elsevier, vol. 139(C), pages 406-421.
    6. Stinner, Sebastian & Huchtemann, Kristian & Müller, Dirk, 2016. "Quantifying the operational flexibility of building energy systems with thermal energy storages," Applied Energy, Elsevier, vol. 181(C), pages 140-154.
    7. Xia Wu & Jun Xia & Baoshan Guan & Xinming Yan & Lei Zou & Ping Liu & Lifeng Yang & Si Hong & Sheng Hu, 2019. "Water Availability Assessment of Shale Gas Production in the Weiyuan Play, China," Sustainability, MDPI, vol. 11(3), pages 1-22, February.
    8. Fontina Petrakopoulou & Marina Olmeda-Delgado, 2019. "Studying the Reduction of Water Use in Integrated Solar Combined-Cycle Plants," Sustainability, MDPI, vol. 11(7), pages 1-27, April.
    9. Hossain, Mohammad Razib & Dash, Devi Prasad & Das, Narasingha & Ullah, Ehsan & Hossain, Md. Emran, 2024. "Green energy transition in OECD region through the lens of economic complexity and environmental technology: A method of moments quantile regression perspective," Applied Energy, Elsevier, vol. 365(C).
    10. Qin, Ying & Curmi, Elizabeth & Kopec, Grant M. & Allwood, Julian M. & Richards, Keith S., 2015. "China's energy-water nexus – assessment of the energy sector's compliance with the “3 Red Lines” industrial water policy," Energy Policy, Elsevier, vol. 82(C), pages 131-143.
    11. Radu Petrariu & Marius Constantin & Mihai Dinu & Simona Roxana Pătărlăgeanu & Mădălina Elena Deaconu, 2021. "Water, Energy, Food, Waste Nexus: Between Synergy and Trade-Offs in Romania Based on Entrepreneurship and Economic Performance," Energies, MDPI, vol. 14(16), pages 1-23, August.
    12. Yi Zhao & Gang Lin & Dong Jiang & Jingying Fu & Xiang Li, 2022. "Low-Carbon Development from the Energy–Water Nexus Perspective in China’s Resource-Based City," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    13. Petrović, Stefan & Colangelo, Alessandro & Balyk, Olexandr & Delmastro, Chiara & Gargiulo, Maurizio & Simonsen, Mikkel Bosack & Karlsson, Kenneth, 2020. "The role of data centres in the future Danish energy system," Energy, Elsevier, vol. 194(C).
    14. 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).
    15. Cho, Jinkyun & Kim, Yundeok, 2016. "Improving energy efficiency of dedicated cooling system and its contribution towards meeting an energy-optimized data center," Applied Energy, Elsevier, vol. 165(C), pages 967-982.
    16. Chu, Wen-Xiao & Wang, Chi-Chuan, 2019. "A review on airflow management in data centers," Applied Energy, Elsevier, vol. 240(C), pages 84-119.
    17. Sharifzadeh, Mahdi & Hien, Raymond Khoo Teck & Shah, Nilay, 2019. "China’s roadmap to low-carbon electricity and water: Disentangling greenhouse gas (GHG) emissions from electricity-water nexus via renewable wind and solar power generation, and carbon capture and sto," Applied Energy, Elsevier, vol. 235(C), pages 31-42.
    18. Robert Istrate & Victor Tulus & Robert N. Grass & Laurent Vanbever & Wendelin J. Stark & Gonzalo Guillén-Gosálbez, 2024. "The environmental sustainability of digital content consumption," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    19. Faisal Irsan Pasaribu & Catra Indra Cahyadi & Restu Mujiono & Suwarno Suwarno, 2023. "Analysis of the Effect of Economic, Population, and Energy Growth, as well as the Influence on Sustainable Energy Development in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 510-517, January.
    20. Chan, Chien Aun & Gygax, André F. & Leckie, Christopher & Wong, Elaine & Nirmalathas, Ampalavanapillai & Hinton, Kerry, 2016. "Telecommunications energy and greenhouse gas emissions management for future network growth," Applied Energy, Elsevier, vol. 166(C), pages 174-185.

    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:jsusta:v:7:y:2015:i:8:p:11260-11284:d:54389. 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.