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Performance prediction and design of CO2 mixtures with the PR-VDW model and molecular groups for the transcritical power cycle

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  • Chen, Chonghui
  • Xing, Lingli
  • Su, Wen
  • Lin, Xinxing

Abstract

Nowadays, CO2 mixture has been widely considered as the working fluid of power cycle. However, how to select appropriate fluid from the numerous organic fluids has to be solved, so as to achieve the high-efficient power cycle. Thus, in this work, PR-VDW and GCM-PR-VDW models are respectively developed to predict the properties of CO2 mixture. Under the given operating conditions, the prediction deviations of cycle performance are obtained and the influences of cycle temperature, pressure and mixing ratio on prediction accuracy are explored. The results show that PR-VDW model has high prediction accuracy for the thermal properties and cycle performance of CO2 mixtures. The prediction deviations of cycle efficiency and net work are 11.38% and 6.88%, respectively. For the GCM-PR-VDW model, cycle efficiency and net work have deviations 15.65% and 8.65%, respectively. On this basis, with the maximum output power as the optimization objective, the optimal organic working fluid and its ratio in CO2 mixture are determined by employing GCM-PR-VDW model. Under the given heat source conditions, it is found that CO2+R32 (0.23/0.78, molar ratio) is the optimal mixture for the transcritical power cycle, and the corresponding cycle efficiency and net work are 16.48% and 1148.04 kW, respectively.

Suggested Citation

  • Chen, Chonghui & Xing, Lingli & Su, Wen & Lin, Xinxing, 2023. "Performance prediction and design of CO2 mixtures with the PR-VDW model and molecular groups for the transcritical power cycle," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223022788
    DOI: 10.1016/j.energy.2023.128884
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    References listed on IDEAS

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