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

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  • Bianchi, M.
  • Branchini, L.
  • De Pascale, A.
  • Melino, F.
  • Ottaviano, S.
  • Peretto, A.
  • Torricelli, N.

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.

Suggested Citation

  • Bianchi, M. & Branchini, L. & De Pascale, A. & Melino, F. & Ottaviano, S. & Peretto, A. & Torricelli, N., 2019. "Application and comparison of semi-empirical models for performance prediction of a kW-size reciprocating piston expander," Applied Energy, Elsevier, vol. 249(C), pages 143-156.
  • Handle: RePEc:eee:appene:v:249:y:2019:i:c:p:143-156
    DOI: 10.1016/j.apenergy.2019.04.070
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    Cited by:

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    2. Dawo, Fabian & Eyerer, Sebastian & Pili, Roberto & Wieland, Christoph & Spliethoff, Hartmut, 2021. "Experimental investigation, model validation and application of twin-screw expanders with different built-in volume ratios," Applied Energy, Elsevier, vol. 282(PA).
    3. Fabio Fatigati & Marco Di Bartolomeo & Davide Di Battista & Roberto Cipollone, 2020. "Experimental Validation of a New Modeling for the Design Optimization of a Sliding Vane Rotary Expander Operating in an ORC-Based Power Unit," Energies, MDPI, vol. 13(16), pages 1-23, August.
    4. Ancona, Maria Alessandra & Bianchi, Michele & Branchini, Lisa & De Pascale, Andrea & Melino, Francesco & Peretto, Antonio & Poletto, Chiara & Torricelli, Noemi, 2022. "Solar driven micro-ORC system assessment for residential application," Renewable Energy, Elsevier, vol. 195(C), pages 167-181.
    5. Kyle Grimaldi & Ahmad Najjaran & Zhiwei Ma & Huashan Bao & Tony Roskilly, 2023. "Dynamic Modelling and Experimental Validation of a Pneumatic Radial Piston Motor," Energies, MDPI, vol. 16(4), pages 1-18, February.
    6. Kutlu, Cagri & Erdinc, Mehmet Tahir & Li, Jing & Su, Yuehong & Pei, Gang & Gao, Guangtao & Riffat, Saffa, 2020. "Evaluate the validity of the empirical correlations of clearance and friction coefficients to improve a scroll expander semi-empirical model," Energy, Elsevier, vol. 202(C).
    7. Xu, Weicong & Zhao, Li & Mao, Samuel S. & Deng, Shuai, 2020. "Towards novel low temperature thermodynamic cycle: A critical review originated from organic Rankine cycle," Applied Energy, Elsevier, vol. 270(C).
    8. Bianchi, M. & Branchini, L. & De Pascale, A. & Melino, F. & Ottaviano, S. & Peretto, A. & Torricelli, N., 2020. "Replacement of R134a with low-GWP fluids in a kW-size reciprocating piston expander: Performance prediction and design optimization," Energy, Elsevier, vol. 206(C).
    9. Ettore Fadiga & Nicola Casari & Alessio Suman & Michele Pinelli, 2020. "Structured Mesh Generation and Numerical Analysis of a Scroll Expander in an Open-Source Environment," Energies, MDPI, vol. 13(3), pages 1-13, February.

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