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Energy-saving superconducting power delivery from renewable energy source to a 100-MW-class data center

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  • Chen, Xiaoyuan
  • Jiang, Shan
  • Chen, Yu
  • Zou, Zhice
  • Shen, Boyang
  • Lei, Yi
  • Zhang, Donghui
  • Zhang, Mingshun
  • Gou, Huayu

Abstract

With the significant increase of global data center infrastructure, how to delivery electric energy to data centers in an efficient and sustainable way needs to be carefully considered. This article presents a novel study on the energy-saving superconducting cables from the renewable energy source to a 100-MW-class data center, with the comparison using the conventional AC and DC power transmissions (9 cases in total). The design of superconducting cables and AC and DC power cables are shown with the details of materials, electrical and thermal characteristics. For all these transmission schemes, both the capital investment costs and operating costs are derived, and the economic analysis is carried out with the factors of different voltage levels, transmission distances from clean energy to the data center, and operating years. Results show the transmission schemes by superconducting cable have both the technical and economic advantages over the conventional AC and DC transmission schemes (e.g., for the 10 kV 10 km case, the total energy loss of superconducting transmission is merely 1.7% of conventional AC, and after 10 years the total cost of superconducting transmission is also cheaper), which can be a promising solution of energy transmission for the high-power data centers in the future.

Suggested Citation

  • Chen, Xiaoyuan & Jiang, Shan & Chen, Yu & Zou, Zhice & Shen, Boyang & Lei, Yi & Zhang, Donghui & Zhang, Mingshun & Gou, Huayu, 2022. "Energy-saving superconducting power delivery from renewable energy source to a 100-MW-class data center," Applied Energy, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:appene:v:310:y:2022:i:c:s0306261922000794
    DOI: 10.1016/j.apenergy.2022.118602
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    Cited by:

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    2. Xu, Da & Xiang, Shizhe & Bai, Ziyi & Wei, Juan & Gao, Menglu, 2023. "Optimal multi-energy portfolio towards zero carbon data center buildings in the presence of proactive demand response programs," Applied Energy, Elsevier, vol. 350(C).
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    4. S. M. Mezbahul Amin & Nazia Hossain & Molla Shahadat Hossain Lipu & Shabana Urooj & Asma Akter, 2023. "Development of a PV/Battery Micro-Grid for a Data Center in Bangladesh: Resilience and Sustainability Analysis," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    5. Peter L. Borland & Kevin McDonnell & Mary Harty, 2023. "Assessment of the Potential to Use the Expelled Heat Energy from a Typical Data Centre in Ireland for Alternative Farming Methods," Energies, MDPI, vol. 16(18), pages 1-32, September.
    6. Deng, Wei & Akram, Rabia & Mirza, Nawazish, 2022. "Economic performance and natural resources: Evaluating the role of economic risk," Resources Policy, Elsevier, vol. 78(C).
    7. Fan Xu & Yuke Li & Qing Zou & Yu Shuang He & Zijia Shen & Chen Li & Huijuan Zhang & Feipeng Wang & Jian Li & Yu Wang, 2022. "The electric field cavity array effect of 2D nano-sieves," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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