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Integrated performance optimization of a biomass-based hybrid hydrogen/thermal energy storage system for building and hydrogen vehicles

Author

Listed:
  • Zhang, Xiaofeng
  • Yan, Renshi
  • Zeng, Rong
  • Zhu, Ruilin
  • Kong, Xiaoying
  • He, Yecong
  • Li, Hongqiang

Abstract

The increase of diversified energy demand, such as building and transportation fields, is bringing great challenges for energy supply. New energy vehicles, such as hydrogen vehicles, have drawn attention increasingly, in which hydrogen demand is usually close to buildings. To satisfy diversified energy demand and solve supply-demand mismatch, operation optimization of biomass-based hybrid hydrogen/thermal energy storage system for building and hydrogen vehicles is investigated, in which building and hydrogen vehicles loads are considered simultaneously. Two operation strategies (following the electricity demand with hydrogen load (FE-HL) and following the thermal demand with hydrogen load (FT-HL)) are proposed. Operation performance on weekday and weekend in different seasons under two operation strategies are compared. Researches indicate that system performance under FE-HL is much better than that of FT-HL. Under FE-HL strategy, primary energy consumption saving ratio, annual total expenditure reduction ratio and CO2 emission reduction ratio are 11.82%, 46.20% and 86.67%, respectively, and the above indicators are −12.11%, 27.83% and 65.72% under FT-HL strategy accordingly. Moreover, the system performances under two operation strategies show a reverse trend with the increase in hydrogen load. In general, this study provides an inspiring idea for supply-demand matching optimization between renewable integration system and building-hydrogen vehicles.

Suggested Citation

  • Zhang, Xiaofeng & Yan, Renshi & Zeng, Rong & Zhu, Ruilin & Kong, Xiaoying & He, Yecong & Li, Hongqiang, 2022. "Integrated performance optimization of a biomass-based hybrid hydrogen/thermal energy storage system for building and hydrogen vehicles," Renewable Energy, Elsevier, vol. 187(C), pages 801-818.
    • Handle: RePEc:eee:renene:v:187:y:2022:i:c:p:801-818
    DOI: 10.1016/j.renene.2022.01.050
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