IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v59y2013icp521-533.html
   My bibliography  Save this article

Dynamic model of a shell-and-tube condenser. Analysis of the mean void fraction correlation influence on the model performance

Author

Listed:
  • Milián, V.
  • Navarro-Esbrí, J.
  • Ginestar, D.
  • Molés, F.
  • Peris, B.

Abstract

A moving-boundary dynamic model of a shell-and-tube condenser is presented. Within this approach, the mean void fraction is a relevant parameter which is obtained, in this work, using different correlations proposed in the literature for the flow pattern analyzed. In order to evaluate the performance of the model with each different mean void fraction correlation, a set of experimental tests using R134a as working fluid, varying the main operating variables (refrigerant mass flow rate, secondary fluid mass flow rate and inlet temperature), are performed. The model performance is analyzed from the system model outputs, namely, condensing pressure and refrigerant and secondary fluid outlet temperatures. The results, comparing model predictions and experimental data, show the great influence of the mean void fraction correlation on the model predictions with noticeable discrepancies depending on the correlation used. It is also observed that the model using the homogeneous correlation frequently provides acceptable results in all the tests analyzed, although the most appropriate correlation depends on the transient characteristics.

Suggested Citation

  • Milián, V. & Navarro-Esbrí, J. & Ginestar, D. & Molés, F. & Peris, B., 2013. "Dynamic model of a shell-and-tube condenser. Analysis of the mean void fraction correlation influence on the model performance," Energy, Elsevier, vol. 59(C), pages 521-533.
    • Handle: RePEc:eee:energy:v:59:y:2013:i:c:p:521-533
    DOI: 10.1016/j.energy.2013.07.053
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544213006592
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2013.07.053?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.

    Citations

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


    Cited by:

    1. Wang, Xuan & Shu, Gequn & Tian, Hua & Liu, Peng & Jing, Dongzhan & Li, Xiaoya, 2018. "The effects of design parameters on the dynamic behavior of organic ranking cycle for the engine waste heat recovery," Energy, Elsevier, vol. 147(C), pages 440-450.
    2. Wang, Chaoyang & Liu, Ming & Zhao, Yongliang & Qiao, Yongqiang & Chong, Daotong & Yan, Junjie, 2018. "Dynamic modeling and operation optimization for the cold end system of thermal power plants during transient processes," Energy, Elsevier, vol. 145(C), pages 734-746.
    3. Xuan Wang & Hua Tian & Gequn Shu, 2016. "Part-Load Performance Prediction and Operation Strategy Design of Organic Rankine Cycles with a Medium Cycle Used for Recovering Waste Heat from Gaseous Fuel Engines," Energies, MDPI, vol. 9(7), pages 1-21, July.
    4. Nunes, T.K. & Vargas, J.V.C. & Ordonez, J.C. & Shah, D. & Martinho, L.C.S., 2015. "Modeling, simulation and optimization of a vapor compression refrigeration system dynamic and steady state response," Applied Energy, Elsevier, vol. 158(C), pages 540-555.
    5. Zaversky, Fritz & Sánchez, Marcelino & Astrain, David, 2014. "Object-oriented modeling for the transient response simulation of multi-pass shell-and-tube heat exchangers as applied in active indirect thermal energy storage systems for concentrated solar power," Energy, Elsevier, vol. 65(C), pages 647-664.

    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:59:y:2013:i:c:p:521-533. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.