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Size optimization of heat exchanger and thermoeconomic assessment for supercritical CO2 recompression Brayton cycle applied in marine

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  • Du, Yadong
  • Hu, Chenxing
  • Yang, Ce
  • Wang, Haimei
  • Dong, Wuqiang

Abstract

When the state-of-the-art supercritical CO2 cycle is applied to the marines, priority should be given to the feasibility of its component size. In this study, a thermodynamic model of the marine supercritical CO2 recompression cycle was developed. To evaluate the thermoeconomic and component size of the system, the recuperator and precooler with a microtube structure were designed. After quantitatively discussing the impact of the two-stage compression mode on the component scale, the sizes of the heat exchangers were optimized based on the maximum allowable pressure drop. The parameter analysis demonstrates that increasing the speed of the power turbine is beneficial to the system thermoeconomic. Not only can an efficiency improvement of 1.73% and a cost saving of 1.77 $/MWh be achieved, but also the implementation of two-stage compression reduces the volume of the high-temperature recuperator, low-temperature recuperator, and precooler by 4.62%, 6.33%, and 37.4%, respectively. The size optimization analysis suggests that the direction with the longest distance should be regarded as the length constraint of the heat exchanger design in the absence of multi-objective optimization. Moreover, this study has guiding significance for the size optimization of the supercritical CO2 cycle used in a limited space.

Suggested Citation

  • Du, Yadong & Hu, Chenxing & Yang, Ce & Wang, Haimei & Dong, Wuqiang, 2022. "Size optimization of heat exchanger and thermoeconomic assessment for supercritical CO2 recompression Brayton cycle applied in marine," Energy, Elsevier, vol. 239(PD).
  • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025548
    DOI: 10.1016/j.energy.2021.122306
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    References listed on IDEAS

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    1. Fan, Y.H. & Tang, G.H. & Sheng, Q. & Li, X.L. & Yang, D.L., 2023. "S–CO2 cooling heat transfer mechanism based on pseudo-condensation and turbulent field analysis," Energy, Elsevier, vol. 262(PA).
    2. Andrés Meana-Fernández & Juan M. González-Caballín & Roberto Martínez-Pérez & Francisco J. Rubio-Serrano & Antonio J. Gutiérrez-Trashorras, 2022. "Power Plant Cycles: Evolution towards More Sustainable and Environmentally Friendly Technologies," Energies, MDPI, vol. 15(23), pages 1-27, November.
    3. Li, Zhen & Lu, Daogang & Wang, Zhichao & Cao, Qiong, 2023. "Analysis on flow and heat transfer performance of SCO2 in airfoil channels with different fin angles of attack," Energy, Elsevier, vol. 282(C).
    4. Chen, Weixiong & Qian, Yiran & Tang, Xin & Fang, Huawei & Yi, Jingwei & Liang, Tiebo & Zhao, Quanbin & Yan, Junjie, 2023. "System-component combined design and comprehensive evaluation of closed-air Brayton cycle," Energy, Elsevier, vol. 278(C).
    5. Du, Yadong & Yang, Ce & Zhao, Ben & Gao, Jianbing & Hu, Chenxing & Zhang, Hanzhi & Zhao, Wei, 2022. "Dynamic characteristics of a recompression supercritical CO2 cycle against variable operating conditions and temperature fluctuations of reactor outlet coolant," Energy, Elsevier, vol. 258(C).
    6. Zhang, Lianjie & Yang, Ping & Li, Wei & Klemeš, Jiří Jaromír & Zeng, Min & Wang, Qiuwang, 2022. "A new structure of PCHE with embedded PCM for attenuating temperature fluctuations and its performance analysis," Energy, Elsevier, vol. 254(PC).
    7. Du, Yadong & Yang, Ce & Zhao, Ben & Hu, Chenxing & Zhang, Hanzhi & Yu, Zhiyi & Gao, Jianbing & Zhao, Wei & Wang, Haimei, 2023. "Optimal design of a supercritical carbon dioxide recompression cycle using deep neural network and data mining techniques," Energy, Elsevier, vol. 271(C).

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