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Regression comparison of organic working mediums for low grade heat recovery operating on Rankine cycle

Shahinfard S., Beyene A.

Journal of Power Technologies

2013

Vol. 93, nr 4

257--270

A logistic-regression based classifier is developed here to predict the probability of any working fluid as a desirable candidate for ultra-low grade heat driven organic Rankine cycle. Global warming abilities, ozone depleting potentials as well as thermodynamic properties of the working medium are used to develop this generalized classifier. As a validation of the suggested classifier, more than 80 working fluids are screened, and regression analyses used to rate the most appropriate candidates. The preferable working mediums among those evaluated based on environmental impacts are HFCs. Considering environmental issues, safety concerns, and performance characteristics however, the preferable working fluids among those tested are HFC-245fa, followed by HFC-134a, HFC-227ea, HFC-236ea, HFC-236fa, HC-600, HC-600a, HC-601, and HC-601a.