Application and comparison of semi-empirical models for performance prediction of a kW-size reciprocating piston expander

Milo Bianchi, L. Branchini, A. De Pascale, F. Melino, S. Ottaviano, A. Peretto and N. Torricelli

Applied Energy, 2019, vol. 249, issue C, 143-156

Abstract: This work describes modeling and performance prediction of a kW-size reciprocating piston expander adopted in micro-Organic Rankine Cycle (ORC) energy systems. Two selected semi-empirical models have been opportunely adapted, calibrated and validated over a full set of experimental data to detect the best method for the simulation of a reciprocating machine. The first modelling approach is based on polynomial correlations of the expander efficiencies and it has been extended to account for the heat losses to ambient. The second one is a lumped parameters model using few key geometrical data and some physical equations to describe the process.

Keywords: Reciprocating piston expander; Modelling; Semi-empirical models; Calibration; Validation; Extrapolation capability; Experimental data; Organic Rankine Cycle (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:249:y:2019:i:c:p:143-156

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DOI: 10.1016/j.apenergy.2019.04.070

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