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

Author

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  • 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
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

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