Resilience Assessment of Hydrogen Integrated Energy System for Airport Electrification

Huangjiang Zhao, Yue Xiang, Yichen Shen, Yongtao Guo, Ping Xue, Wei Sun, Hanhu Cai, Chenghong Gu, Junyong Liu

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In recent years, the idea of green aviation and environmental protection has received increasing attention from the aviation industry. Hydrogen energy has an important role in the transition to low-carbon energy systems. To address that, this paper conducts the techno-economic analysis for the hydrogen energy system, photovoltaic energy (PV, battery storage system (BSS, electric auxiliary power unit (APU of aircraft, and electric vehicles (EVs into the electrified airport energy system. Specifically, the model quantifies aircraft electrical load based on passenger travel behavior, establishes a corresponding APU load characteristic model, and establishes an EV charging load profile based on the flight schedule and sequencing algorithm. A mixed-integer linear programming (MILP optimization method based on life cycle theory was proposed, to minimize the total costs of hydrogen integrated energy systems for airports (HIES . However, the resilience advantages of hydrogen energy concerning power failure are little explored in existing academic research. Thus, a resilience assessment method and improvement measure were proposed for HIES. Case studies have been conducted under different optimal hydrogen energy integration configurations and disaster times with resilience assessment by considering periods when the power supply capacity of the grid is insufficient. The results show the effectiveness of the proposed method.
Original languageEnglish
Article number9612027
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Industry Applications
Early online date13 Nov 2021
DOIs
Publication statusE-pub ahead of print - 13 Nov 2021

Keywords / Materials (for Non-textual outputs)

  • Airports
  • Aircraft
  • Resilience
  • Hydrogen
  • Microgrids
  • Load modeling
  • Costs

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