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Formulation and validation of a mathematical model of the microclimate of a greenhouse

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  • Singh, Gurpreet
  • Singh, Parm Pal
  • Lubana, Prit Pal Singh
  • Singh, K.G.

Abstract

A mathematical model MICroclimate of GREENhouse (MICGREEN), consisting of set of algebraic equations, was developed. The equations were written for four components of the greenhouse viz. cover, inside air, canopy surface and bare soil surface. It was assumed that the greenhouse air is well mixed, thermal properties of materials of construction do not change with time and solar radiations pass through cover without absorption. The values of dimensions and material properties of the greenhouse constructed at the Research Farm of Department of Soil and Water Engineering, Punjab Agricultural University, Ludhiana were put in these equations. The inputs to the model are ambient air temperature, solar radiations on normal surface, solar radiations on earth's surface, temperature of the soil under canopy and temperature of the soil at a depth of 6cm. A computer program was written in C++ language. The equations were solved using Gauss–Seidal Iteration method. The outputs of the model are greenhouse cover temperature, inside air temperature, canopy temperature and bare soil temperature. The relative humidity of the inside air is predicted from the predicted inside air temperature with the help of psychrometric chart. To validate this model, experiments were conducted on greenhouse to obtain data during winter as tomato crop was being grown. The results of computer model were compared with the experimental results and agreement was found between the measured and predicted values.

Suggested Citation

  • Singh, Gurpreet & Singh, Parm Pal & Lubana, Prit Pal Singh & Singh, K.G., 2006. "Formulation and validation of a mathematical model of the microclimate of a greenhouse," Renewable Energy, Elsevier, vol. 31(10), pages 1541-1560.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:10:p:1541-1560
    DOI: 10.1016/j.renene.2005.07.011
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    Cited by:

    1. Shuyao Dong & Md Shamim Ahamed & Chengwei Ma & Huiqing Guo, 2021. "A Time-Dependent Model for Predicting Thermal Environment of Mono-Slope Solar Greenhouses in Cold Regions," Energies, MDPI, vol. 14(18), pages 1-19, September.
    2. Mobtaker, Hassan Ghasemi & Ajabshirchi, Yahya & Ranjbar, Seyed Faramarz & Matloobi, Mansour, 2019. "Simulation of thermal performance of solar greenhouse in north-west of Iran: An experimental validation," Renewable Energy, Elsevier, vol. 135(C), pages 88-97.
    3. Giuseppina Nicolosi & Roberto Volpe & Antonio Messineo, 2017. "An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse," Energies, MDPI, vol. 10(5), pages 1-17, May.
    4. Kolosz, B.W. & Athanasiadis, I.N. & Cadisch, G. & Dawson, T.P. & Giupponi, C. & Honzák, M. & Martinez-Lopez, J. & Marvuglia, A. & Mojtahed, V. & Ogutu, K.B.Z. & Van Delden, H. & Villa, F. & Balbi, S., 2018. "Conceptual advancement of socio-ecological modelling of ecosystem services for re-evaluating Brownfield land," Ecosystem Services, Elsevier, vol. 33(PA), pages 29-39.
    5. 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.
    6. Manzoni, Stefano & Katul, Gabriel & Fay, Philip A. & Polley, H. Wayne & Porporato, Amilcare, 2011. "Modeling the vegetation–atmosphere carbon dioxide and water vapor interactions along a controlled CO2 gradient," Ecological Modelling, Elsevier, vol. 222(3), pages 653-665.
    7. Lin, Yaolin & Zmeureanu, Radu, 2008. "Three-dimensional thermal and airflow (3D-TAF) model of a dome-covered house in Canada," Renewable Energy, Elsevier, vol. 33(1), pages 22-34.
    8. Zhang, Guanshan & Ding, Xiaoming & Li, Tianhua & Pu, Wenyang & Lou, Wei & Hou, Jialin, 2020. "Dynamic energy balance model of a glass greenhouse: An experimental validation and solar energy analysis," Energy, Elsevier, vol. 198(C).
    9. Bo, Yu & Zhang, Yu & Zheng, Kunpeng & Zhang, Jingxu & Wang, Xiaochan & Sun, Jin & Wang, Jian & Shu, Sheng & Wang, Yu & Guo, Shirong, 2023. "Light environment simulation for a three-span plastic greenhouse based on greenhouse light environment simulation software," Energy, Elsevier, vol. 271(C).
    10. Omar, M.N. & Taha, A.T. & Samak, A.A. & Keshek, M.H. & Gomaa, E.M. & Elsisi, S.F., 2021. "Simulation and validation model of cooling greenhouse by solar energy (P V) integrated with painting its cover and its effect on the cucumber production," Renewable Energy, Elsevier, vol. 172(C), pages 1154-1173.
    11. Golzar, Farzin & Heeren, Niko & Hellweg, Stefanie & Roshandel, Ramin, 2018. "A novel integrated framework to evaluate greenhouse energy demand and crop yield production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 487-501.

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