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Two-layer collaborative optimization for a renewable energy system combining electricity storage, hydrogen storage, and heat storage

Author

Listed:
  • Fan, Guangyao
  • Liu, Zhijian
  • Liu, Xuan
  • Shi, Yaxin
  • Wu, Di
  • Guo, Jiacheng
  • Zhang, Shicong
  • Yang, Xinyan
  • Zhang, Yulong

Abstract

Renewable energy systems combining hybrid energy storage (HES-RESs) and new energy vehicles are beneficial for realizing net-zero carbon emissions of the building and transport sectors. However, the configuration and operation of HES-RESs lack mature optimization methods, and the competition between systems that consider electric vehicles and hydrogen vehicles is unclear. Therefore, a RES that combines electricity storage, hydrogen storage, and heat storage is proposed. The nonlinear model of the HES-RES is established. A two-layer collaborative optimization model of system design and operation is constructed. The economy, environment, and independence of the HES-RES are improved. Then, the system is applied to a diversified nearly zero-energy community, and the optimization results considering electric vehicles and hydrogen vehicles are compared. The variation in performance, configuration, and operation of the HES-RES are quantitatively analysed with different proportions of hydrogen vehicles. The results show that the annual carbon emissions and costs of the HES-RES considering electric vehicles are reduced by 39.5% and 25.6%, respectively, and the grid interaction is increased by 10.0%, compared to the system only considering hydrogen vehicles. The HES-RES and the optimization results have a positive guiding role for the carbon emission reduction and integration development of the building and transport sectors.

Suggested Citation

  • Fan, Guangyao & Liu, Zhijian & Liu, Xuan & Shi, Yaxin & Wu, Di & Guo, Jiacheng & Zhang, Shicong & Yang, Xinyan & Zhang, Yulong, 2022. "Two-layer collaborative optimization for a renewable energy system combining electricity storage, hydrogen storage, and heat storage," Energy, Elsevier, vol. 259(C).
    • Handle: RePEc:eee:energy:v:259:y:2022:i:c:s0360544222019429
    DOI: 10.1016/j.energy.2022.125047
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