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Experimental Validation of Numerical Simulation Model for No‐Load Hybrid Greenhouse Solar Dryer.

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Title: Experimental Validation of Numerical Simulation Model for No‐Load Hybrid Greenhouse Solar Dryer.
Authors: Prakash, Om1 (AUTHOR), Kumar, Lalan2 (AUTHOR), Ahmad, Asim3 (AUTHOR), Irshad, Kashif3,4 (AUTHOR), Hasnain, S. M. Mozammil5 (AUTHOR), Giri, Jayant6,7 (AUTHOR), Paramasivam, Prabhu5 (AUTHOR) prabhu.paramasivam@marwadieducation.edu.in, Zairov, Rustem8,9 (AUTHOR), Dabelo, Leliso H.10 (AUTHOR) leliso.hobicho@meu.edu.et
Source: Energy Science & Engineering. Mar2025, Vol. 13 Issue 3, p1103-1116. 14p.
Subject Terms: *Statistical energy analysis, *Heat transfer coefficient, *Heat convection, *Solar dryers, *Finite element method
Abstract: This study is concerned with the development of a finite element (FE) model using COMSOL Multiphysics for hybrid greenhouse dryers in humid subtropical climate of Ranchi, under no‐load condition. The temperature and humidity distribution in the dryer was visualized using the FE model and compared against experimental data to evaluate its reliability in simulating dryer behavior. The performance evaluation conducted under no load condition showed that the efficiency of the proposed dryer was 42.35% and maximum overall convective heat transfer coefficient was 6.27 W/m2°C. The temperature inside the dryer ranged from 55°C to 80°C, while the relative humidity ranged from 37% to 45%. The developed FE model using COMSOL Multiphysics software, shows a close agreement between experimental and predicted results with a lower statistical error. Overall, this study's findings suggest that the hybrid greenhouse dryer could be a useful tool for drying crops in humid subtropical climates and the FEM could be a valuable tool for future research. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 183601051
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Experimental Validation of Numerical Simulation Model for No‐Load Hybrid Greenhouse Solar Dryer.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Prakash%2C+Om%22">Prakash, Om</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Lalan%22">Kumar, Lalan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ahmad%2C+Asim%22">Ahmad, Asim</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Irshad%2C+Kashif%22">Irshad, Kashif</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hasnain%2C+S%2E+M%2E+Mozammil%22">Hasnain, S. M. Mozammil</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Giri%2C+Jayant%22">Giri, Jayant</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Paramasivam%2C+Prabhu%22">Paramasivam, Prabhu</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> prabhu.paramasivam@marwadieducation.edu.in</i><br /><searchLink fieldCode="AR" term="%22Zairov%2C+Rustem%22">Zairov, Rustem</searchLink><relatesTo>8,9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dabelo%2C+Leliso+H%2E%22">Dabelo, Leliso H.</searchLink><relatesTo>10</relatesTo> (AUTHOR)<i> leliso.hobicho@meu.edu.et</i>
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  Label: Source
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  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Mar2025, Vol. 13 Issue 3, p1103-1116. 14p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Statistical+energy+analysis%22">Statistical energy analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Heat+transfer+coefficient%22">Heat transfer coefficient</searchLink><br />*<searchLink fieldCode="DE" term="%22Heat+convection%22">Heat convection</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+dryers%22">Solar dryers</searchLink><br />*<searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study is concerned with the development of a finite element (FE) model using COMSOL Multiphysics for hybrid greenhouse dryers in humid subtropical climate of Ranchi, under no‐load condition. The temperature and humidity distribution in the dryer was visualized using the FE model and compared against experimental data to evaluate its reliability in simulating dryer behavior. The performance evaluation conducted under no load condition showed that the efficiency of the proposed dryer was 42.35% and maximum overall convective heat transfer coefficient was 6.27 W/m2°C. The temperature inside the dryer ranged from 55°C to 80°C, while the relative humidity ranged from 37% to 45%. The developed FE model using COMSOL Multiphysics software, shows a close agreement between experimental and predicted results with a lower statistical error. Overall, this study's findings suggest that the hybrid greenhouse dryer could be a useful tool for drying crops in humid subtropical climates and the FEM could be a valuable tool for future research. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/ese3.2046
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      – Code: eng
        Text: English
    PhysicalDescription:
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        PageCount: 14
        StartPage: 1103
    Subjects:
      – SubjectFull: Statistical energy analysis
        Type: general
      – SubjectFull: Heat transfer coefficient
        Type: general
      – SubjectFull: Heat convection
        Type: general
      – SubjectFull: Solar dryers
        Type: general
      – SubjectFull: Finite element method
        Type: general
    Titles:
      – TitleFull: Experimental Validation of Numerical Simulation Model for No‐Load Hybrid Greenhouse Solar Dryer.
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            NameFull: Prakash, Om
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            NameFull: Kumar, Lalan
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            NameFull: Ahmad, Asim
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            NameFull: Hasnain, S. M. Mozammil
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            NameFull: Giri, Jayant
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            – D: 01
              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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              Value: 13
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            – TitleFull: Energy Science & Engineering
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