IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i22p5863-d442637.html
   My bibliography  Save this article

Numerical Simulation and Experimental Validation of an Oil Free Scroll Compressor

Author

Listed:
  • Massimo Cardone

    (Department of Chemical, Materials and Production Engineering, University of Naples Federico II, 80125 Naples, Italy)

  • Bonaventura Gargiulo

    (Department of Chemical, Materials and Production Engineering, University of Naples Federico II, 80125 Naples, Italy)

Abstract

This paper presents a virtual model of a scroll compressor developed on the one-dimensional analysis software Simcenter Amesim ® . The model is semi-empirical: it needs some physical details of the modelled machine (e.g., the cubic capacity), but, on the other hand, it does not require the geometrical features of the spirals, so it needs experimental data to calibrate it. The model also requires rotational speed and the outlet temperature as boundary conditions. The model predicts the power consumption and the mass flow rate and considers leakages and mechanical losses. After the model presentation, this paper describes the test bench and the obtained data used to calibrate and validate the model. At last, the calibration process is described, and the results are discussed. The calculated values fit the experimental data also in extrapolation, despite the model is simple and performs calculations within 7 s. Due to these characteristics, the model is suitable for being used in a larger model as a sub-component.

Suggested Citation

  • Massimo Cardone & Bonaventura Gargiulo, 2020. "Numerical Simulation and Experimental Validation of an Oil Free Scroll Compressor," Energies, MDPI, vol. 13(22), pages 1-11, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5863-:d:442637
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/22/5863/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/22/5863/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bracco, Roberto & Clemente, Stefano & Micheli, Diego & Reini, Mauro, 2013. "Experimental tests and modelization of a domestic-scale ORC (Organic Rankine Cycle)," Energy, Elsevier, vol. 58(C), pages 107-116.
    2. Mendoza, Luis Carlos & Lemofouet, Sylvain & Schiffmann, Jürg, 2017. "Testing and modelling of a novel oil-free co-rotating scroll machine with water injection," Applied Energy, Elsevier, vol. 185(P1), pages 201-213.
    3. Jai Pyo Sung & Joon Hong Boo & Eui Guk Jung, 2020. "Transient Thermodynamic Modeling of a Scroll Compressor Using R22 Refrigerant," Energies, MDPI, vol. 13(15), pages 1-21, July.
    4. Zhang, Xinjing & Xu, Yujie & Xu, Jian & Sheng, Yong & Zuo, Zhitao & Liu, Jimin & Chen, Haisheng & Wang, Yaodong & Huang, Ye, 2017. "Study on the performance and optimization of a scroll expander driven by compressed air," Applied Energy, Elsevier, vol. 186(P3), pages 347-358.
    5. Rak, Józef & Pietrowicz, Sławomir, 2020. "Internal flow field and heat transfer investigation inside the working chamber of a scroll compressor," Energy, Elsevier, vol. 202(C).
    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. Xiao Qu & Yantao Shi & Jiongjiong Cai, 2022. "Target Force Curve Searching Method for Axial Electromagnetic Dynamic Balance of Scroll Compressor," Energies, MDPI, vol. 15(5), pages 1-17, February.
    2. Benedetto Nastasi & Massimiliano Manfren & Michel Noussan, 2021. "Open Data and Models for Energy and Environment," Energies, MDPI, vol. 14(15), pages 1-2, July.
    3. 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. Song, Panpan & Wei, Mingshan & Zhang, Yangjun & Sun, Liwei & Emhardt, Simon & Zhuge, Weilin, 2018. "The impact of a bilateral symmetric discharge structure on the performance of a scroll expander for ORC power generation system," Energy, Elsevier, vol. 158(C), pages 458-470.
    2. Xiao Qu & Yantao Shi & Jiongjiong Cai, 2022. "Target Force Curve Searching Method for Axial Electromagnetic Dynamic Balance of Scroll Compressor," Energies, MDPI, vol. 15(5), pages 1-17, February.
    3. Fanti, Gabriel Rossi & Romão, Douglas Araújo & de Almeida, Ricardo Barbosa & de Mello, Paulo Eduardo Batista, 2020. "Influence of flank clearance on the performance of a scroll expander prototype," Energy, Elsevier, vol. 193(C).
    4. Anahita Moharamian & Saeed Soltani & Faramarz Ranjbar & Mortaza Yari & Marc A Rosen, 2017. "Thermodynamic analysis of a wall mounted gas boiler with an organic Rankine cycle and hydrogen production unit," Energy & Environment, , vol. 28(7), pages 725-743, November.
    5. 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.
    6. Murthy, Anarghya Ananda & Krishan, Gopal & Shenoy, Praveen & Patil, Ishwaragouda S, 2024. "Theoretical, CFD modelling and experimental investigation of a four-intersecting-vane rotary expander," Applied Energy, Elsevier, vol. 353(PB).
    7. Braimakis, Konstantinos & Karellas, Sotirios, 2017. "Integrated thermoeconomic optimization of standard and regenerative ORC for different heat source types and capacities," Energy, Elsevier, vol. 121(C), pages 570-598.
    8. Piero Danieli & Gianluca Carraro & Andrea Lazzaretto, 2020. "Thermodynamic and Economic Feasibility of Energy Recovery from Pressure Reduction Stations in Natural Gas Distribution Networks," Energies, MDPI, vol. 13(17), pages 1-19, August.
    9. Carraro, Gianluca & Bori, Viola & Lazzaretto, Andrea & Toniato, Giuseppe & Danieli, Piero, 2020. "Experimental investigation of an innovative biomass-fired micro-ORC system for cogeneration applications," Renewable Energy, Elsevier, vol. 161(C), pages 1226-1243.
    10. Calise, Francesco & Dentice d'Accadia, Massimo & Macaluso, Adriano & Vanoli, Laura & Piacentino, Antonio, 2016. "A novel solar-geothermal trigeneration system integrating water desalination: Design, dynamic simulation and economic assessment," Energy, Elsevier, vol. 115(P3), pages 1533-1547.
    11. Yue, Chen & Han, Dong & Pu, Wenhao & He, Weifeng, 2015. "Thermal matching performance of a geothermal ORC system using zeotropic working fluids," Renewable Energy, Elsevier, vol. 80(C), pages 746-754.
    12. Giuffrida, Antonio, 2017. "Improving the semi-empirical modelling of a single-screw expander for small organic Rankine cycles," Applied Energy, Elsevier, vol. 193(C), pages 356-368.
    13. Zhang, Xinjing & Chen, Haisheng & Xu, Yujie & Li, Wen & He, Fengjuan & Guo, Huan & Huang, Ye, 2017. "Distributed generation with energy storage systems: A case study," Applied Energy, Elsevier, vol. 204(C), pages 1251-1263.
    14. Li, Yuehua & Pei, Pucheng & Ma, Ze & Ren, Peng & Huang, Hao, 2020. "Analysis of air compression, progress of compressor and control for optimal energy efficiency in proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    15. Chintala, Venkateswarlu & Kumar, Suresh & Pandey, Jitendra K., 2018. "A technical review on waste heat recovery from compression ignition engines using organic Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 493-509.
    16. Qiu, K. & Entchev, E., 2020. "Development of an organic Rankine cycle-based micro combined heat and power system for residential applications," Applied Energy, Elsevier, vol. 275(C).
    17. Miao, Zheng & Xu, Jinliang & Zhang, Kai, 2017. "Experimental and modeling investigation of an organic Rankine cycle system based on the scroll expander," Energy, Elsevier, vol. 134(C), pages 35-49.
    18. 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.
    19. Juan Fang & Yonghong Xu & Hongguang Zhang & Zhi Yang & Jifang Wan & Zhengguang Liu, 2023. "Experimental Research on the Output Performance of Scroll Compressor for Micro Scale Compressed Air Energy Storage System," Sustainability, MDPI, vol. 15(21), pages 1-18, November.
    20. Arabkoohsar, A. & Dremark-Larsen, M. & Lorentzen, R. & Andresen, G.B., 2017. "Subcooled compressed air energy storage system for coproduction of heat, cooling and electricity," Applied Energy, Elsevier, vol. 205(C), pages 602-614.

    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:gam:jeners:v:13:y:2020:i:22:p:5863-:d:442637. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.