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Thermodynamic analysis and multi-objective optimization of a waste heat recovery system with a combined supercritical/transcritical CO2 cycle

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  • Qin, Lei
  • Xie, Gongnan
  • Ma, Yuan
  • Li, Shulei

Abstract

This study firstly develops a novel combined cycle system consisting of a supercritical CO2 recompression Brayton cycle and a transcritical CO2 refrigeration cycle to recover waste heat from a marine turbine for both power generation and refrigeration. The pressure drop of the total heat exchanger in the whole cycle is considered in the thermodynamic and economic modeling process. Then, the influence of crucial system parameters on the system performance and economics is investigated through parametric sensitivity analysis. Finally, the system is optimized parametrically by multi-objective optimization. The results show that the higher inlet pressure of the high-pressure compressor helps to improve the thermal efficiency but reduces the exergy efficiency; the low-temperature heat exchanger plays a decisive role in the overall system exergy destruction; the HRHE accounts for a more significant proportion of the system cost, and the pressure drop has the most significant impact on the network of the system. The optimal solution is COP = 3.059, LCOE = 18.348$/(kW/h), and ηWhr = 0.651 when waste heat recovery efficiency, COP, and LCOE are considered optimization objectives.

Suggested Citation

  • Qin, Lei & Xie, Gongnan & Ma, Yuan & Li, Shulei, 2023. "Thermodynamic analysis and multi-objective optimization of a waste heat recovery system with a combined supercritical/transcritical CO2 cycle," Energy, Elsevier, vol. 265(C).
    • Handle: RePEc:eee:energy:v:265:y:2023:i:c:s0360544222032182
    DOI: 10.1016/j.energy.2022.126332
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    2. Baydar, Ceyhun & Koç, Yıldız & Yağlı, Hüseyin & Koç, Ali & Depci̇, Tolga & Aygün, Mustafa Kemal, 2023. "Experimental detection of inadequacies and improvements for a geothermal power plant using single shaft double turbine binary Organic Rankine cycle as power system," Energy, Elsevier, vol. 283(C).
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    5. Qin, Peijia & Tan, Xianlin & Huang, Youbin & Pan, Mingming & Ouyang, Tiancheng, 2023. "Two-stage robust optimal scheduling framework applied for microgrids: Combined energy recovery and forecast," Renewable Energy, Elsevier, vol. 214(C), pages 290-306.

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