IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v209y2020ics0360544220314894.html
   My bibliography  Save this article

CFD-based optimization of scroll compressor design and uncertainty quantification of the performance under geometrical variations

Author

Listed:
  • Cavazzini, G.
  • Giacomel, F.
  • Ardizzon, G.
  • Casari, N.
  • Fadiga, E.
  • Pinelli, M.
  • Suman, A.
  • Montomoli, F.

Abstract

Positive displacement (PD) machines are widely used in several applications such as in vapor and power generation systems. Nevertheless, their design is still based on standard approaches mainly driven by thermodynamic analysis and theoretical correlations. Geometrical details influence on the machine performance is often neglected. Because of this, PD machines hydraulic efficiency has not really been improved.

Suggested Citation

  • Cavazzini, G. & Giacomel, F. & Ardizzon, G. & Casari, N. & Fadiga, E. & Pinelli, M. & Suman, A. & Montomoli, F., 2020. "CFD-based optimization of scroll compressor design and uncertainty quantification of the performance under geometrical variations," Energy, Elsevier, vol. 209(C).
  • Handle: RePEc:eee:energy:v:209:y:2020:i:c:s0360544220314894
    DOI: 10.1016/j.energy.2020.118382
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220314894
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2020.118382?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ziviani, Davide & Beyene, Asfaw & Venturini, Mauro, 2014. "Advances and challenges in ORC systems modeling for low grade thermal energy recovery," Applied Energy, Elsevier, vol. 121(C), pages 79-95.
    2. Declaye, Sébastien & Quoilin, Sylvain & Guillaume, Ludovic & Lemort, Vincent, 2013. "Experimental study on an open-drive scroll expander integrated into an ORC (Organic Rankine Cycle) system with R245fa as working fluid," Energy, Elsevier, vol. 55(C), pages 173-183.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuan, Hang & Wu, Yunfeng & Zhang, Jianshe & Zhou, Shiji & Lu, Xingen & Zhang, Yanfeng, 2024. "Integrated optimization of a turbine stage at a low Reynolds number via NURBS surface and machine learning," Energy, Elsevier, vol. 294(C).
    2. Giovanna Cavazzini & Francesco Giacomel & Alberto Benato & Francesco Nascimben & Guido Ardizzon, 2021. "Analysis of the Inner Fluid-Dynamics of Scroll Compressors and Comparison between CFD Numerical and Modelling Approaches," Energies, MDPI, vol. 14(4), pages 1-28, February.
    3. Cheng, Hongzhi & Zhou, Chuangxin & Lu, Xingen & Zhao, Shengfeng & Han, Ge & Yang, Chengwu, 2023. "Robust aerodynamic optimization and design exploration of a wide-chord transonic fan under geometric and operational uncertainties," Energy, Elsevier, vol. 278(PB).
    4. Jian Sun & Bin Peng & Bingguo Zhu, 2021. "Performance Analysis and Test Research of PEMFC Oil-Free Positive Displacement Compressor for Vehicle," Energies, MDPI, vol. 14(21), pages 1-18, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Min-Hsiung & Yeh, Rong-Hua, 2015. "Thermo-economic optimization of an organic Rankine cycle system for large marine diesel engine waste heat recovery," Energy, Elsevier, vol. 82(C), pages 256-268.
    2. Jahedul Islam Chowdhury & Bao Kha Nguyen & David Thornhill & Yukun Hu & Payam Soulatiantork & Nazmiye Balta-Ozkan & Liz Varga, 2018. "Fuzzy Nonlinear Dynamic Evaporator Model in Supercritical Organic Rankine Cycle Waste Heat Recovery Systems," Energies, MDPI, vol. 11(4), pages 1-24, April.
    3. Lecompte, Steven & Gusev, Sergei & Vanslambrouck, Bruno & De Paepe, Michel, 2018. "Experimental results of a small-scale organic Rankine cycle: Steady state identification and application to off-design model validation," Applied Energy, Elsevier, vol. 226(C), pages 82-106.
    4. Koppauer, H. & Kemmetmüller, W. & Kugi, A., 2017. "Modeling and optimal steady-state operating points of an ORC waste heat recovery system for diesel engines," Applied Energy, Elsevier, vol. 206(C), pages 329-345.
    5. Bouvier, Jean-Louis & Lemort, Vincent & Michaux, Ghislain & Salagnac, Patrick & Kientz, Thiebaut, 2016. "Experimental study of an oil-free steam piston expander for micro-combined heat and power systems," Applied Energy, Elsevier, vol. 169(C), pages 788-798.
    6. Landelle, Arnaud & Tauveron, Nicolas & Haberschill, Philippe & Revellin, Rémi & Colasson, Stéphane, 2017. "Organic Rankine cycle design and performance comparison based on experimental database," Applied Energy, Elsevier, vol. 204(C), pages 1172-1187.
    7. Gaosheng Li & Hongguang Zhang & Fubin Yang & Songsong Song & Ying Chang & Fei Yu & Jingfu Wang & Baofeng Yao, 2016. "Preliminary Development of a Free Piston Expander–Linear Generator for Small-Scale Organic Rankine Cycle (ORC) Waste Heat Recovery System," Energies, MDPI, vol. 9(4), pages 1-18, April.
    8. Pili, Roberto & Romagnoli, Alessandro & Jiménez-Arreola, Manuel & Spliethoff, Hartmut & Wieland, Christoph, 2019. "Simulation of Organic Rankine Cycle – Quasi-steady state vs dynamic approach for optimal economic performance," Energy, Elsevier, vol. 167(C), pages 619-640.
    9. Moradi, Ramin & Habib, Emanuele & Bocci, Enrico & Cioccolanti, Luca, 2020. "Investigation on the use of a novel regenerative flow turbine in a micro-scale Organic Rankine Cycle unit," Energy, Elsevier, vol. 210(C).
    10. Yamada, Noboru & Tominaga, Yoshihito & Yoshida, Takanori, 2014. "Demonstration of 10-Wp micro organic Rankine cycle generator for low-grade heat recovery," Energy, Elsevier, vol. 78(C), pages 806-813.
    11. Kai Yang & Hongguang Zhang & Songsong Song & Jian Zhang & Yuting Wu & Yeqiang Zhang & Hongjin Wang & Ying Chang & Chen Bei, 2014. "Performance Analysis of the Vehicle Diesel Engine-ORC Combined System Based on a Screw Expander," Energies, MDPI, vol. 7(5), pages 1-20, May.
    12. Jung-Bo Sim & Se-Jin Yook & Young Won Kim, 2022. "Performance Analysis of Organic Rankine Cycle with the Turbine Embedded in a Generator (TEG)," Energies, MDPI, vol. 15(1), pages 1-18, January.
    13. Campana, Claudio & Cioccolanti, Luca & Renzi, Massimiliano & Caresana, Flavio, 2019. "Experimental analysis of a small-scale scroll expander for low-temperature waste heat recovery in Organic Rankine Cycle," Energy, Elsevier, vol. 187(C).
    14. Tian, Yafen & Xing, Ziwen & He, Zhilong & Wu, Huagen, 2017. "Modeling and performance analysis of twin-screw steam expander under fluctuating operating conditions in steam pipeline pressure energy recovery applications," Energy, Elsevier, vol. 141(C), pages 692-701.
    15. Lisheng Pan & Huaixin Wang, 2019. "Experimental Investigation on Performance of an Organic Rankine Cycle System Integrated with a Radial Flow Turbine," Energies, MDPI, vol. 12(4), pages 1-20, February.
    16. Yang, Min-Hsiung & Yeh, Rong-Hua, 2016. "Economic performances optimization of an organic Rankine cycle system with lower global warming potential working fluids in geothermal application," Renewable Energy, Elsevier, vol. 85(C), pages 1201-1213.
    17. Song, Panpan & Wei, Mingshan & Liu, Zhen & Zhao, Ben, 2015. "Effects of suction port arrangements on a scroll expander for a small scale ORC system based on CFD approach," Applied Energy, Elsevier, vol. 150(C), pages 274-285.
    18. Tang, Hao & Wu, Huagen & Wang, Xiaolin & Xing, Ziwen, 2015. "Performance study of a twin-screw expander used in a geothermal organic Rankine cycle power generator," Energy, Elsevier, vol. 90(P1), pages 631-642.
    19. Alshammari, Fuhaid & Pesyridis, Apostolos & Karvountzis-Kontakiotis, Apostolos & Franchetti, Ben & Pesmazoglou, Yagos, 2018. "Experimental study of a small scale organic Rankine cycle waste heat recovery system for a heavy duty diesel engine with focus on the radial inflow turbine expander performance," Applied Energy, Elsevier, vol. 215(C), pages 543-555.
    20. Cioccolanti, Luca & Tascioni, Roberto & Arteconi, Alessia, 2018. "Mathematical modelling of operation modes and performance evaluation of an innovative small-scale concentrated solar organic Rankine cycle plant," Applied Energy, Elsevier, vol. 221(C), pages 464-476.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:209:y:2020:i:c:s0360544220314894. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.