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Multi-objective optimization of thermodynamics parameters of a biomass and liquefied natural gas complementary system integrated with liquid air energy storage and two-stage organic Rankine cycles

Author

Listed:
  • Duan, Zheng
  • Wang, Kangxing
  • Cao, Yihuai
  • Wang, Jiangjiang
  • Liu, Qibin

Abstract

Liquid air energy storage is an efficient and clean energy storage technology. This paper studies an advanced integrated energy system that couples biomass and liquid natural gas complementary energy supply with liquid air energy storage. The system mainly includes two-stage organic Rankine cycle, liquid air energy storage, and gas-steam combined cycle. Adaptive genetic algorithm is used to perform the multi-objective optimization of the system's thermodynamic parameters. Under optimal configuration, the system undergoes exergoeconomic and exergy carbon evaluations. The impact of the mixed burning ratio, steam turbine pressure parameters, compressed air utilization rate, and fuel prices on the exergoeconomic and exergy carbon performance of the system is analyzed. Optimization results show that the system performs best with the mixed burning ratio of 0.44, maximum pressure parameters, and maximum compressed air utilization rate, achieving the unit exergy cost of 0.1674 $ (kWh exergy)−1 and the unit exergy carbon intensity of 0.362 kg CO2-eq (kWh exergy)−1. Sensitivity analysis shows that as the mixed burning ratio increases from 0 to 1, the exergy cost of the product rises from 0.0775 to 0.2905 $ (kWh exergy)−1. In contrast, the exergy carbon intensity decreases from 0.492 to 0.211 kg CO2-eq (kWh exergy)−1.

Suggested Citation

  • Duan, Zheng & Wang, Kangxing & Cao, Yihuai & Wang, Jiangjiang & Liu, Qibin, 2025. "Multi-objective optimization of thermodynamics parameters of a biomass and liquefied natural gas complementary system integrated with liquid air energy storage and two-stage organic Rankine cycles," Energy, Elsevier, vol. 314(C).
  • Handle: RePEc:eee:energy:v:314:y:2025:i:c:s0360544224039495
    DOI: 10.1016/j.energy.2024.134171
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