IJAIR NAAS Score : 3.99 ,ISSN : 2319-1473
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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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IJAIR NAAS Score : 3.99 (2016 - 2020)
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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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IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
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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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Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 15, Issue 1, July - Aug., 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. 15, Issue 1, July - Aug., 2026"
Successfully Published
Volumes / Issues
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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. 15, Issue 1, July - Aug., 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
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A Multivariable Computational Fluid Dynamics Validation Method Based in Bayesian Networks Applied in a Greenhouse
- Tlaloc Daniel Espinoza-Huerta; Irving Cesar Ortíz-Vázquez; Gabriela García-Manzo; Guillermo Alfonso De la torre-Gea
- In recent years, studies have been conducted to determine gradients expressing climate conditions inside greenhouses using computational fluid dynamics, which has been able to increase the precision and realism. Although these models provide numerical solution of the energy balance, these models need to be validated to establish its accuracy with respect to real data measured by sensors inside the greenhouse. Many methods have been employed validation, however at this time, neither limit has been reported to determine whether a model is acceptable or not. Bayesian networks are numerical techniques of uncertainty and heuristic method that could be used as validation CFD multivariable methods. We validated a Computational Fluid Dynamic model using a Bayesian Network analysis. BN have shown the relationships between variables CO2 concentration and humidity with respect to temperature and it has also been possible to quantify these relationships by calculating inferences in dependent probability distributions.
- Select Volume / Issue:
- Year:
- 2015
- Type of Publication:
- Article
- Keywords:
- Greenhouse; Bayesian Networks; Natural Ventilation; Climate Distribution
- Journal:
- IJAIR
- Volume:
- 4
- Number:
- 1
- Pages:
- 67-71
- Month:
- July
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