TY - JOUR
T1 - Performance Analysis of Hydrogen-based Backup Systems for Sustainable Internet Data Centers
AU - Liu, Jinhui
AU - Dai, Haoyu
AU - Xu, Zhanbo
AU - Wu, Jiang
AU - Guan, Xiaohong
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Hydrogen-based backup systems (HBSs) are a promising alternative to diesel generators (DGs) in Internet data centers (IDCs) because of their high efficiency, fast response, and near-zero on-site emissions. However, their performance in terms of reliability, cost, and carbon emissions is not yet fully understood. This paper proposes an HBS for IDCs, where medium-temperature fuel cells (MTFCs) produce electricity and waste heat, and absorption chillers (ACs) use this heat to provide cooling. A unified model is developed to describe the links between hydrogen-based energy supply, computing workloads, and indoor temperature control. To evaluate both planning and operation performance, a Sequential Monte Carlo Simulation (SMCS) method is used, with Gaussian copula-based scenario generation and Sobol sequences to improve sampling efficiency. A case study of a pilot IDC in Yulin, China, shows that at a hydrogen price of $1/kg, the HBS can reach an average reliability of service of 99.999%, cut yearly operating costs by $3,750, and lower carbon emissions by 23,333 kg per rack compared with DG-based systems. These results show that HBSs can deliver high-reliability and low-carbon backup power for sustainable data center operation.
AB - Hydrogen-based backup systems (HBSs) are a promising alternative to diesel generators (DGs) in Internet data centers (IDCs) because of their high efficiency, fast response, and near-zero on-site emissions. However, their performance in terms of reliability, cost, and carbon emissions is not yet fully understood. This paper proposes an HBS for IDCs, where medium-temperature fuel cells (MTFCs) produce electricity and waste heat, and absorption chillers (ACs) use this heat to provide cooling. A unified model is developed to describe the links between hydrogen-based energy supply, computing workloads, and indoor temperature control. To evaluate both planning and operation performance, a Sequential Monte Carlo Simulation (SMCS) method is used, with Gaussian copula-based scenario generation and Sobol sequences to improve sampling efficiency. A case study of a pilot IDC in Yulin, China, shows that at a hydrogen price of $1/kg, the HBS can reach an average reliability of service of 99.999%, cut yearly operating costs by $3,750, and lower carbon emissions by 23,333 kg per rack compared with DG-based systems. These results show that HBSs can deliver high-reliability and low-carbon backup power for sustainable data center operation.
KW - carbon emission
KW - economic viability
KW - fuel cells
KW - Internet data center backup system
KW - reliability evaluation
UR - https://www.scopus.com/pages/publications/105027532016
U2 - 10.1109/TIA.2026.3654510
DO - 10.1109/TIA.2026.3654510
M3 - 文章
AN - SCOPUS:105027532016
SN - 0093-9994
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
ER -