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Dynamic simulation of the distributed radiative and convective climate within a cropped greenhouse

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  • Nebbali, R.
  • Roy, J.C.
  • Boulard, T.

Abstract

This article presents numerical simulations of the distribution of climate parameters within a ventilated tunnel tomato greenhouse during variable outside conditions. The simulations were performed using a computational fluid dynamics (CFD) code that solved the transport equations in a 3D domain, including the greenhouse and its crop stands, the surrounding ambient air and the soil located directly under the greenhouse. Radiative heat transfers were modeled using a bi-band discrete ordinates (DO) model, and the crop was considered to be a porous medium. Sensible and latent heat transfer between leaves and the surrounding air were determined based on the energy balance that included longwave and shortwave radiation fluxes in each crop control volume. The climatic boundary conditions were determined using experimental measurements, and the sun position was calculated for each time interval that was considered. The temperature distribution in the soil was determined based on a preliminary CFD determination of the conductive heat transfer in a 1D soil column. Simulations in the entire 3D domain were then performed, and 1 h time step and boundary conditions were updated prior to each calculation procedure. Results are presented for the spring equinox and summer solstice. These results highlight the combined influence of sun position, wind direction and intensity on the greenhouse microclimate and especially on the evapotranspiration rate of the crop at the leaf level. We discuss the possibility of using CFD code integration as a conceptual tool for designers or in association with a control climate model for farmers.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:43:y:2012:i:c:p:111-129
    DOI: 10.1016/j.renene.2011.12.003
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    References listed on IDEAS

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    1. Fidaros, D.K. & Baxevanou, C.A. & Bartzanas, T. & Kittas, C., 2010. "Numerical simulation of thermal behavior of a ventilated arc greenhouse during a solar day," Renewable Energy, Elsevier, vol. 35(7), pages 1380-1386.
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    Cited by:

    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).

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