IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8310-d601414.html
   My bibliography  Save this article

Computational Fluid Dynamics Modelling of the Microclimate within the Boundary Layer of Leaves Leading to Improved Pest Control Management and Low-Input Greenhouse

Author

Listed:
  • Hicham Fatnassi

    (International Center for Biosaline Agriculture, Dubai 14660, United Arab Emirates)

  • Thierry Boulard

    (Université Côte d’Azur, INRAE, CNRS, UMR ISA, 06000 Nice, France)

  • Christine Poncet

    (Université Côte d’Azur, INRAE, CNRS, UMR ISA, 06000 Nice, France)

  • Nikolaos Katsoulas

    (Department of Agriculture Crop Production and Rural Environment, University of Thessaly, 38446 Volos, Greece)

  • Thomas Bartzanas

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • Murat Kacira

    (Department of Biosystems Engineering, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ 85721, USA)

  • Habtamu Giday

    (International Center for Biosaline Agriculture, Dubai 14660, United Arab Emirates)

  • In-Bok Lee

    (Laboratory of Aero-Environmental Engineering, Department of Rural System Engineering College of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea)

Abstract

This work aims at using the Computational Fluid Dynamic (CFD) approach to study the distributed microclimate in the leaf boundary layer of greenhouse crops. Understanding the interactions in this microclimate of this natural habitat of plant pests (i.e., boundary layer of leaves), is a prerequisite for their control through targeted climate management for sustainable greenhouse production. The temperature and humidity simulations, inside the greenhouse, were performed using CFD code which has been adapted to simulate the plant activity within each mesh in the crop canopy. The air temperature and air humidity profiles within the boundary layer of leaves were deduced from the local surrounding climate parameters, based on an analytical approach, encapsulated in a Used Defined Function (UDF), and dynamically linked to the CFD solver, a work that forms an innovative and original task. Thus, this model represents a new approach to investigate the microclimate in the boundary layer of leaves under greenhouses, which resolves the issue of the inaccessibility of this area by the conventionnel measurement tools. The findings clearly showed that (i) contrarily to what might be expected, the microclimate parameters within the boundary layer of leaves are different from the surrounding climate in the greenhouse. This is particularly visible during photoperiods when the plant’s transpiration activity is at its maximum and that (ii) the climatic parameters in the leaf boundary layer are more coupled with leaf surfaces than with those of greenhouse air. These results can help developing localized intervention strategies on the microclimate within boundary layer of plant leaves, leading to improved and sustainable pest control management. The developed climatic strategies will make it possible to optimize resources use efficiency.

Suggested Citation

  • Hicham Fatnassi & Thierry Boulard & Christine Poncet & Nikolaos Katsoulas & Thomas Bartzanas & Murat Kacira & Habtamu Giday & In-Bok Lee, 2021. "Computational Fluid Dynamics Modelling of the Microclimate within the Boundary Layer of Leaves Leading to Improved Pest Control Management and Low-Input Greenhouse," Sustainability, MDPI, vol. 13(15), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8310-:d:601414
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8310/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/15/8310/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nebbali, R. & Roy, J.C. & Boulard, T., 2012. "Dynamic simulation of the distributed radiative and convective climate within a cropped greenhouse," Renewable Energy, Elsevier, vol. 43(C), pages 111-129.
    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. Uk-Hyeon Yeo & Sang-Yeon Lee & Se-Jun Park & Jun-Gyu Kim & Young-Bae Choi & Rack-Woo Kim & Jong Hwa Shin & In-Bok Lee, 2022. "Rooftop Greenhouse: (1) Design and Validation of a BES Model for a Plastic-Covered Greenhouse Considering the Tomato Crop Model and Natural Ventilation Characteristics," Agriculture, MDPI, vol. 12(7), pages 1-25, June.
    2. Wu, Xiaoyang & Li, Yiming & Jiang, Lingling & Wang, Yang & Liu, Xingan & Li, Tianlai, 2023. "A systematic analysis of multiple structural parameters of Chinese solar greenhouse based on the thermal performance," Energy, Elsevier, vol. 273(C).

    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. Morice R. O. Odhiambo & Adnan Abbas & Xiaochan Wang & Ehsan Elahi, 2020. "Thermo-Environmental Assessment of a Heated Venlo-Type Greenhouse in the Yangtze River Delta Region," Sustainability, MDPI, vol. 12(24), pages 1-34, December.
    2. Gloria Alexandra Ortiz Rocha & Maria Angelica Pichimata & Edwin Villagran, 2021. "Research on the Microclimate of Protected Agriculture Structures Using Numerical Simulation Tools: A Technical and Bibliometric Analysis as a Contribution to the Sustainability of Under-Cover Cropping," Sustainability, MDPI, vol. 13(18), pages 1-40, September.
    3. Zilong Fan & Yiming Li & Lingling Jiang & Lu Wang & Tianlai Li & Xingan Liu, 2023. "Analysis of the Effect of Exhaust Configuration and Shape Parameters of Ventilation Windows on Microclimate in Round Arch Solar Greenhouse," Sustainability, MDPI, vol. 15(8), pages 1-30, April.
    4. Guan, Yong & Wang, Tuo & Tang, Rui & Hu, Wanling & Guo, Jianxuan & Yang, Huijun & Zhang, Yun & Duan, Shijian, 2020. "Numerical study on the heat release capacity of the active-passive phase change wall affected by ventilation velocity," Renewable Energy, Elsevier, vol. 150(C), pages 1047-1056.
    5. María S. Fernández-García & Pablo Vidal-López & Desirée Rodríguez-Robles & José R. Villar-García & Rafael Agujetas, 2020. "Numerical Simulation of Multi-Span Greenhouse Structures," Agriculture, MDPI, vol. 10(11), pages 1-31, October.
    6. Wu, Xiaoyang & Li, Yiming & Jiang, Lingling & Wang, Yang & Liu, Xingan & Li, Tianlai, 2023. "A systematic analysis of multiple structural parameters of Chinese solar greenhouse based on the thermal performance," Energy, Elsevier, vol. 273(C).
    7. 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.
    8. Dehghan, Maziar & Rahmani, Yousef & Domiri Ganji, Davood & Saedodin, Seyfollah & Valipour, Mohammad Sadegh & Rashidi, Saman, 2015. "Convection–radiation heat transfer in solar heat exchangers filled with a porous medium: Homotopy perturbation method versus numerical analysis," Renewable Energy, Elsevier, vol. 74(C), pages 448-455.
    9. Simeng Xie & Jianhong Zheng & Bengui Xiao & Huiyue Hu & Xinyi Cao & Xuepeng Wang & Luling Zhang, 2022. "Numerical Simulation and Wind Tunnel Test on the Wind-Induced Response of Three Typical Types of Greenhouse Main Structures," Agriculture, MDPI, vol. 12(9), pages 1-16, August.
    10. Zhang, Yue & Henke, Michael & Li, Yiming & Yue, Xiang & Xu, Demin & Liu, Xingan & Li, Tianlai, 2020. "High resolution 3D simulation of light climate and thermal performance of a solar greenhouse model under tomato canopy structure," Renewable Energy, Elsevier, vol. 160(C), pages 730-745.
    11. Yiming Li & Fujun Sun & Wenbin Shi & Xingan Liu & Tianlai Li, 2022. "Numerical Simulation of Ventilation Performance in Mushroom Solar Greenhouse Design," Energies, MDPI, vol. 15(16), pages 1-18, August.

    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:jsusta:v:13:y:2021:i:15:p:8310-:d:601414. 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.