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Prediction of Key Crop Growth Parameters in a Commercial Greenhouse Using CFD Simulation and Experimental Verification in a Pilot Study

Author

Listed:
  • Subin Mattara Chalill

    (Department of Mechanical Engineering, Birla Institute of Technology and Science Pilani, Dubai Campus, Dubai P.O. Box 345055, United Arab Emirates)

  • Snehaunshu Chowdhury

    (Department of Mechanical Engineering, Birla Institute of Technology and Science Pilani, Dubai Campus, Dubai P.O. Box 345055, United Arab Emirates)

  • Ramanujam Karthikeyan

    (Department of Mechanical Engineering, Birla Institute of Technology and Science Pilani, Dubai Campus, Dubai P.O. Box 345055, United Arab Emirates)

Abstract

Controlled crop growth parameters, such as average air velocity, air temperature, and relative humidity (RH), inside the greenhouse are necessary prerequisites for commercial greenhouse operation. Frequent overshoots of such parameters are noticed in the Middle East. Traditional heating ventilation and air-conditioning (HVAC) systems in such greenhouses use axial fans and evaporative cooling pads to control the temperature. Such systems fail to respond to the extreme heat load variations during the day. In this study, we present the design and implementation of a single span, commercial greenhouse using box type evaporative coolers (BTEC) as the backbone of the HVAC system. The HVAC system is run by a fully-automated real time feedback-based climate management system (CMS). A full-scale, steady state computational fluid dynamics (CFD) simulation of the greenhouse is carried out assuming peak summer outdoor conditions. A pilot study is conducted to experimentally monitor the environmental parameters in the greenhouse over a 20-h period. The recorded data confirm that the crop growth parameters lie within their required ranges, indicating a successful design and implementation phase of the commercial greenhouse on a pilot scale.

Suggested Citation

  • Subin Mattara Chalill & Snehaunshu Chowdhury & Ramanujam Karthikeyan, 2021. "Prediction of Key Crop Growth Parameters in a Commercial Greenhouse Using CFD Simulation and Experimental Verification in a Pilot Study," Agriculture, MDPI, vol. 11(7), pages 1-23, July.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:7:p:658-:d:593163
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    References listed on IDEAS

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    1. Kangji Li & Wenping Xue & Hanping Mao & Xu Chen & Hui Jiang & Gang Tan, 2019. "Optimizing the 3D Distributed Climate inside Greenhouses Using Multi-Objective Optimization Algorithms and Computer Fluid Dynamics," Energies, MDPI, vol. 12(15), pages 1-19, July.
    2. Antonio Franco & Diego L. Valera & Araceli Peña, 2014. "Energy Efficiency in Greenhouse Evaporative Cooling Techniques: Cooling Boxes versus Cellulose Pads," Energies, MDPI, vol. 7(3), pages 1-21, March.
    3. Jiaming Guo & Yanhua Liu & Enli Lü, 2019. "Numerical Simulation of Temperature Decrease in Greenhouses with Summer Water-Sprinkling Roof," Energies, MDPI, vol. 12(12), pages 1-15, June.
    4. Ghasemi Mobtaker, Hassan & Ajabshirchi, Yahya & Ranjbar, Seyed Faramarz & Matloobi, Mansour, 2016. "Solar energy conservation in greenhouse: Thermal analysis and experimental validation," Renewable Energy, Elsevier, vol. 96(PA), pages 509-519.
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