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IJAIR NAAS Score : 3.99 (2016 - 2020)
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
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
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