IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v65y2004i1p3-17.html
   My bibliography  Save this article

Simulation and control of ventilation rates in greenhouses

Author

Listed:
  • Dayan, J
  • Dayan, E
  • Strassberg, Y
  • Presnov, E

Abstract

A simple model is presented, which enables the calculation of ventilation in a commercial rose-growing greenhouse (greenhouse). The model represents the greenhouse as three vertically stacked horizontal segments and addresses the energy and vapor transfer among these segments and between them the plant canopy and the external environment. The model equations show how ventilation can be calculated from the heat and vapor balances and how they can describe the internal microclimate. Air exchange rates obtained by the model are similar to published results obtained by tracer experiments and CFD. The model can be updated and calibrated for various conditions and structures, in accordance with online measurements of transpiration, leaf temperature, air temperatures and humidity at several heights above ground level. By making some assumptions, representative plant temperatures (RPTs) can be calculated instead of being measured. The validity of the model assumptions is established by comparing numerical results with experimental data. Good agreement is obtained between the numerical output of the model and the experimental measurements, for most times of the day. The simplified model is used to demonstrate the calculation of representative plant temperatures when forced ventilation is applied to cool the plants. Further study is still necessary to make the model applicable to complete days and throughout the season. Once the model is fully established and proven it will be used for sophisticated greenhouse climate control.

Suggested Citation

  • Dayan, J & Dayan, E & Strassberg, Y & Presnov, E, 2004. "Simulation and control of ventilation rates in greenhouses," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 65(1), pages 3-17.
    • Handle: RePEc:eee:matcom:v:65:y:2004:i:1:p:3-17
    DOI: 10.1016/j.matcom.2003.09.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475403001368
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2003.09.017?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. Dayan, E. & Presnov, E. & Fuchs, M., 2004. "Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 65(1), pages 101-116.
    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. Germán Díaz-Flórez & Jorge Mendiola-Santibañez & Luis Solís-Sánchez & Domingo Gómez-Meléndez & Ivan Terol-Villalobos & Hector Gutiérrez-Bañuelos & Ma. Araiza-Esquivel & Gustavo Espinoza-García & Juan , 2019. "Modeling and Simulation of Temperature and Relative Humidity Inside a Growth Chamber," Energies, MDPI, vol. 12(21), pages 1-22, October.
    2. Barkat Rabbi & Zhong-Hua Chen & Subbu Sethuvenkatraman, 2019. "Protected Cropping in Warm Climates: A Review of Humidity Control and Cooling Methods," Energies, MDPI, vol. 12(14), pages 1-24, July.

    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. Wu, Lin & Le Dimet, François-Xavier & de Reffye, Philippe & Hu, Bao-Gang & Cournède, Paul-Henry & Kang, Meng-Zhen, 2012. "An optimal control methodology for plant growth—Case study of a water supply problem of sunflower," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 909-923.
    2. Kang, M.Z. & Cournède, P.H. & de Reffye, P. & Auclair, D. & Hu, B.G., 2008. "Analytical study of a stochastic plant growth model: Application to the GreenLab model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(1), pages 57-75.

    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:matcom:v:65:y:2004:i:1:p:3-17. 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/mathematics-and-computers-in-simulation/ .

    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.