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Reliability Assessment of Hydrogen-Powered Energy System in Internet Data Centers

  • Xi'an Jiaotong University
  • China Mobile Communications Group Co., Ltd.
  • China Mobile Group Design Institute Co., Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rapid growth of energy consumption and carbon emissions in Internet data centers (IDCs), the green and low-carbon development of electricity consumption in IDCs is critical. Hydrogen fuel cells are highly efficient and low-carbon, making them a promising option for IDCs' energy supply. However, integrating fuel cells introduces complexities in the relationships among IDC workloads, electricity, cooling, and heating, making the reliability assessment of IDC with hydrogen-powered energy system (HPES) more challenging. This paper develops an accurate IDC operation model that captures these complex dynamics. Moreover, we propose a Monte Carlo simulation method (MCSM) based on Gaussian distribution sampling (GDS) and a two-state failure model (TFM) to describe the randomness of workloads and component states, enabling a comprehensive reliability assessment. Numerical results indicate that HPES demonstrates high reliability and are economically advantageous when the price of hydrogen is below a certain threshold.

Original languageEnglish
Title of host publicationProceedings - 2024 China Automation Congress, CAC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1043-1048
Number of pages6
ISBN (Electronic)9798350368604
DOIs
StatePublished - 2024
Event2024 China Automation Congress, CAC 2024 - Qingdao, China
Duration: 1 Nov 20243 Nov 2024

Publication series

NameProceedings - 2024 China Automation Congress, CAC 2024

Conference

Conference2024 China Automation Congress, CAC 2024
Country/TerritoryChina
CityQingdao
Period1/11/243/11/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Hydrogen
  • Internet Data Center
  • Monte Carlo Simulation
  • Reliability Assessment

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