IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6069-d641711.html
   My bibliography  Save this article

Proposal, Robustness Analysis and Equivalent Implementation of Optimization Method for Row-by-Row Fin Distribution in Multi-Row Frosting Evaporator

Author

Listed:
  • Yu Sun

    (Department of Refrigeration & Cryogenic Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Rijing Zhao

    (Department of Refrigeration & Cryogenic Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Siyuan Wu

    (Department of Refrigeration & Cryogenic Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Dong Huang

    (Department of Refrigeration & Cryogenic Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

The evaporator in a frost-free refrigerator typically has more tube rows, but frost deposition reduces along the airflow direction. Correspondingly, the evaporator fin distribution is thinner in the upstream rows but denser downstream, and a good match between frost and fin distribution is achieved to recover evaporator capacity loss. However, quantitative design principles of non-uniform fin distribution are lacking. A quasi-static frosting evaporator model is established and experimentally verified considering a three-dimensional (3D) evaporator, 1D frost growth and 1D non-uniform fin distribution. An optimization method for row-by-row fin distribution of a multi-row frosting evaporator is proposed based on the air pressure drop’s increase rate. When the increase rate in the air pressure drop of each row is almost equal, the smallest overall evaporator pressure drop is obtained, leading to the highest air flowrate and the greatest evaporator capacity. By applying the method, the air flowrate and the evaporator capacity increase by 5.5% and 4.6%, respectively, compared to the original fin distribution scheme. Moreover, the robustness of the optimization method is validated under wide temperature and humidity operating conditions. An equivalent implementation under an initial no-frost condition is also proposed to facilitate the optimization method without calculating the whole frosting process.

Suggested Citation

  • Yu Sun & Rijing Zhao & Siyuan Wu & Dong Huang, 2021. "Proposal, Robustness Analysis and Equivalent Implementation of Optimization Method for Row-by-Row Fin Distribution in Multi-Row Frosting Evaporator," Energies, MDPI, vol. 14(19), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6069-:d:641711
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6069/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/19/6069/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ehsan Allymehr & Geir Skaugen & Torsten Will & Ángel Álvarez Pardiñas & Trygve Magne Eikevik & Armin Hafner & Lena Schnabel, 2021. "Numerical Study of Hydrocarbon Charge Reduction Methods in HVAC Heat Exchangers," Energies, MDPI, vol. 14(15), pages 1-15, July.
    2. Adnan Rasheed & Wook Ho Na & Jong Won Lee & Hyeon Tae Kim & Hyun Woo Lee, 2021. "Development and Validation of Air-to-Water Heat Pump Model for Greenhouse Heating," Energies, MDPI, vol. 14(15), pages 1-22, August.
    Full references (including those not matched with items on IDEAS)

    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. Moonis R. Ally & Brian Fricke, 2021. "Heat Transfer, Refrigeration and Heat Pumps," Energies, MDPI, vol. 14(23), pages 1-3, November.
    2. Muhammad Sultan & Muhammad Hamid Mahmood & Md Shamim Ahamed & Redmond R. Shamshiri & Muhammad Wakil Shahzad, 2022. "Energy Systems and Applications in Agriculture," Energies, MDPI, vol. 15(23), pages 1-3, December.
    3. Adnan Rasheed & Jong Won Lee & Hyeon Tae Kim & Hyun Woo Lee, 2022. "Study on Heating and Cooling Performance of Air-to-Water Heat Pump System for Protected Horticulture," Energies, MDPI, vol. 15(15), pages 1-19, July.
    4. Misbaudeen Aderemi Adesanya & Wook-Ho Na & Anis Rabiu & Qazeem Opeyemi Ogunlowo & Timothy Denen Akpenpuun & Adnan Rasheed & Yong-Cheol Yoon & Hyun-Woo Lee, 2022. "TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse," Sustainability, MDPI, vol. 14(14), pages 1-30, July.

    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:14:y:2021:i:19:p:6069-:d:641711. 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.