IJAIR NAAS Score : 3.99 ,ISSN : 2319-1473

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    IJAIR NAAS Score : 3.99 (2016 - 2020)
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    https://timelinepublication.com/


    Submissions open

    IJAIR NAAS Score : 3.99 (2016 - 2020)
    "Submissions Open For Vol. 15, Issue 1, July - Aug., 2026"


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    IJAIR NAAS Score : 3.99 (2016 - 2020)
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    Heat Transfer-Based Mathematical Modeling for Predicting Greenhouse Temperatures in Hot Arid Regions

    Egbal Elmsaad
    Greenhouse agriculture has become an essential approach to achieving sustainable food production by allowing precise control of environmental parameters such as temperature, humidity, and solar radiation. However, maintaining optimal internal conditions in hot and arid regions remains a significant challenge due to intense solar loads and high ambient temperatures. This study presents a steady-state mathematical model based on heat transfer principles to predict the internal thermal behaviour of greenhouses operating under such climates. The developed model employs an energy balance approach, integrating factors such as solar radiation, ambient air temperature, relative humidity, ventilation rate, and plant transpiration effects. Experimental validation demonstrated a strong agreement between predicted and measured data, indicating the model’s reliability and accuracy. Statistical evaluation showed that the root mean square percent deviation (e) between predicted and observed temperatures ranged from 7.1% to 11.44%, the correlation coefficient (r) varied between 0.95 and 0.99, the mean bias error (MBE) between 0.85 and 2.47, and the root mean square error (RMSE) between 2.34 and 4.91. These findings confirm that the proposed heat transfer-based model effectively simulates greenhouse microclimate conditions, providing a valuable tool for optimizing design and environmental control strategies. The model can be adapted for various crops and climatic zones, contributing to improved greenhouse efficiency and sustainable agricultural practices in arid and semi-arid environments.
    Select Volume / Issue:
    Year:
    2025
    Type of Publication:
    Article
    Keywords:
    Heat; Temperature; Mass; Greenhouse Technology; Simulation Modelling
    Journal:
    IJAIR
    Volume:
    14
    Number:
    3
    Pages:
    45-65
    Month:
    November
    ISSN:
    2319-1473
    Hits: 168

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