Thermodynamic analysis of working fluids: What is the highest performance of the sub- and trans-critical organic Rankine cycles?

Yang, Fufang; Yang, Fubin; Liu, Qiang; Chu, Qingfu; Yang, Zhen; Duan, Yuanyuan

doi:10.1016/j.energy.2021.122512

Cited by 8 publications

(2 citation statements)

References 33 publications

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“…However, the relationship between T b and T c is inconsistent with the common working fluids. In our previous study, the effect of T c on thermal efficiency was much greater than that of T b [21]. Thus, the constructions are only aimed at T c and p c .…”

Section: Working Fluid Active Designmentioning

confidence: 86%

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Performance Prediction and Working Fluid Active Design of Organic Rankine Cycle Based on Molecular Structure

et al. 2022

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Working fluid selection is crucial for organic Rankine cycles (ORC). In this study, the relationship between molecular structure and ORC performance was established based on the quantitative structure–property relationship (QSPR) and working fluid parameterized model (WFPM), from which an ORC working fluid was actively designed. First, the QSPR model with four properties, namely, critical temperature (Tc), boiling point (Tb), critical pressure (pc), and isobaric heat capacity (cp0), was built. Second, the evaporation enthalpy (hvap), evaporation entropy (svap), and thermal efficiency (η) were estimated by WFPM, and the results were compared with those using REFPROP to verify the calculation accuracy of the “QSPR+WFPM” coupling model. The average absolute relative deviations of evaporation enthalpy and entropy are below 8.44%. The maximum relative error of thermal efficiency is 6%. Then, the thermodynamic performance limit of ORC and corresponding thermophysical properties of the ideal working fluid were calculated at typical geothermal source conditions. Finally, the active design of the working fluid was conducted with the ideal working fluid Tc and pc as the target. The research shows that C3H4F2 and C4H3F5 are optimal working fluids at 473.15 and 523.15 K heat sources, respectively.

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Section: Working Fluid Active Designmentioning

confidence: 86%

“…The prediction model is generally composed of two parts: thermophysical property prediction and ORC performance calculation. In our previous work [19][20][21], the working fluid parameterized model (WFPM) was proposed to calculate ORC performance. However, this model has not been applied to novel working fluids.…”

Section: Working Fluid Selectionmentioning

confidence: 99%