Evaluation of working fluids for organic Rankine cycles using group-contribution methods and second-law-based models

Wei-wu Ma , Lin Wang , Tao Liu , Min Li

Journal of Central South University ›› 2019, Vol. 26 ›› Issue (8) : 2234 -2243.

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Journal of Central South University ›› 2019, Vol. 26 ›› Issue (8) : 2234 -2243. DOI: 10.1007/s11771-019-4169-5
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Evaluation of working fluids for organic Rankine cycles using group-contribution methods and second-law-based models

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Abstract

The group-contribution (GC) methods suffer from a limitation concerning to the prediction of process-related indexes, e.g., thermal efficiency. Recently developed analytical models for thermal efficiency of organic Rankine cycles (ORCs) provide a possibility of overcoming the limitation of the GC methods because these models formulate thermal efficiency as functions of key thermal properties. Using these analytical relations together with GC methods, more than 60 organic fluids are screened for medium-low temperature ORCs. The results indicate that the GC methods can estimate thermal properties with acceptable accuracy (mean relative errors are 4.45%–11.50%); the precision, however, is low because the relative errors can vary from less than 0.1% to 45.0%. By contrast, the GC-based estimation of thermal efficiency has better accuracy and precision. The relative errors in thermal efficiency have an arithmetic mean of about 2.9% and fall within the range of 0–24.0%. These findings suggest that the analytical equations provide not only a direct way of estimating thermal efficiency but an accurate and precise approach to evaluating working fluids and guiding computer-aided molecular design of new fluids for ORCs using GC methods.

Keywords

organic Rankine cycles (ORCs) / group contribution methods / working fluids / property estimation / computer-aided molecular design

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Wei-wu Ma, Lin Wang, Tao Liu, Min Li. Evaluation of working fluids for organic Rankine cycles using group-contribution methods and second-law-based models. Journal of Central South University, 2019, 26(8): 2234-2243 DOI:10.1007/s11771-019-4169-5

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