An insight into the similarity approach to predict the maximum efficiency of organic Rankine cycle turbines

Massimo Masi, Luca Da Lio and Andrea Lazzaretto

Energy, 2020, vol. 198, issue C

Abstract: This work deals with the prediction of the maximum efficiency achievable by turbines for Organic Rankine Cycle (ORC) systems by means of similarity principles. At present, this is a key topic in the preliminary design optimization procedures of these systems. The dimensional analysis applied to the most general ORC turbines scenario helps obtain the functional relationship between maximum turbine efficiency and the most relevant design variables within the general framework of the flow similarity.

Keywords: Turbomachines flow similarity; ORC systems optimization; ORC optimal turbine efficiency map; Real gas compressibility effects; Scale effect (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:198:y:2020:i:c:s0360544220303856

DOI: 10.1016/j.energy.2020.117278

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