Experimentation and optimization of phase change material integrated passive bifacial photovoltaic thermal greenhouse dryer.
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| Title: | Experimentation and optimization of phase change material integrated passive bifacial photovoltaic thermal greenhouse dryer. |
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| Authors: | Sehrawat, Ravin1 (AUTHOR), Sahdev, Ravinder Kumar1 (AUTHOR) ravindersahdev.uiet@mdurohtak.ac.in, Chhabra, Deepak1 (AUTHOR), Tiwari, Sumit1,2 (AUTHOR) sumit.tiwari@snu.edu.in |
| Source: | Solar Energy. Jun2023, Vol. 257, p45-57. 13p. |
| Subjects: | Phase change materials, Fruit drying, Heat storage, Aluminum foil, Energy storage, Energy dissipation |
| Abstract: | • Bifacial PVT Greenhouse dryer with PCM is designed and developed. • The operating hours and performance of the dryer with PCM are improved. • North wall insulation with aluminium foil is used for better performance. • MOGA-ANN methods have been used to explore the performance of PVT dryer. A greenhouse dryer is the most economical and environmentally friendly device used to dry various products like fruits, vegetables and meats. The operating hours and heat losses from the north wall are the main concerns for its performance. To minimize the heat losses and improve the operating hours, the present study is undertaken on a modified hybrid greenhouse dryer with a thermal energy storage system and a bifacial photovoltaic thermal for electrical (BIFPVT) and thermal energy. A thermocol was wrapped in an aluminium foil (As a reflector) and placed on the north wall to minimize energy losses. The integration of PCM made the system sustainable to use while off sunshine hours as it stores the thermal energy during daytime. It was observed that the BIFPVT system provided electrical power ranging from 2.0 to 85.5 W and 0.6–81 W with respect to solar radiation intensity on the front (I F) and rear (I R) side of BIFPVT which varied from 34–950 W/m2 and 13–350 W/m2, respectively. The drying room temperature was found to be 16–44% higher than the ambient temperature for both days. Further, the experiment result was trained using an artificial neural network and optimized with the help of multi-objective genetic algorithm tools. [ABSTRACT FROM AUTHOR] |
| Copyright of Solar Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 163638313 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Experimentation and optimization of phase change material integrated passive bifacial photovoltaic thermal greenhouse dryer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sehrawat%2C+Ravin%22">Sehrawat, Ravin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sahdev%2C+Ravinder+Kumar%22">Sahdev, Ravinder Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ravindersahdev.uiet@mdurohtak.ac.in</i><br /><searchLink fieldCode="AR" term="%22Chhabra%2C+Deepak%22">Chhabra, Deepak</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tiwari%2C+Sumit%22">Tiwari, Sumit</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> sumit.tiwari@snu.edu.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Solar+Energy%22">Solar Energy</searchLink>. Jun2023, Vol. 257, p45-57. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Phase+change+materials%22">Phase change materials</searchLink><br /><searchLink fieldCode="DE" term="%22Fruit+drying%22">Fruit drying</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+storage%22">Heat storage</searchLink><br /><searchLink fieldCode="DE" term="%22Aluminum+foil%22">Aluminum foil</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+dissipation%22">Energy dissipation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Bifacial PVT Greenhouse dryer with PCM is designed and developed. • The operating hours and performance of the dryer with PCM are improved. • North wall insulation with aluminium foil is used for better performance. • MOGA-ANN methods have been used to explore the performance of PVT dryer. A greenhouse dryer is the most economical and environmentally friendly device used to dry various products like fruits, vegetables and meats. The operating hours and heat losses from the north wall are the main concerns for its performance. To minimize the heat losses and improve the operating hours, the present study is undertaken on a modified hybrid greenhouse dryer with a thermal energy storage system and a bifacial photovoltaic thermal for electrical (BIFPVT) and thermal energy. A thermocol was wrapped in an aluminium foil (As a reflector) and placed on the north wall to minimize energy losses. The integration of PCM made the system sustainable to use while off sunshine hours as it stores the thermal energy during daytime. It was observed that the BIFPVT system provided electrical power ranging from 2.0 to 85.5 W and 0.6–81 W with respect to solar radiation intensity on the front (I F) and rear (I R) side of BIFPVT which varied from 34–950 W/m2 and 13–350 W/m2, respectively. The drying room temperature was found to be 16–44% higher than the ambient temperature for both days. Further, the experiment result was trained using an artificial neural network and optimized with the help of multi-objective genetic algorithm tools. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Solar Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.solener.2023.04.024 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 45 Subjects: – SubjectFull: Phase change materials Type: general – SubjectFull: Fruit drying Type: general – SubjectFull: Heat storage Type: general – SubjectFull: Aluminum foil Type: general – SubjectFull: Energy storage Type: general – SubjectFull: Energy dissipation Type: general Titles: – TitleFull: Experimentation and optimization of phase change material integrated passive bifacial photovoltaic thermal greenhouse dryer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sehrawat, Ravin – PersonEntity: Name: NameFull: Sahdev, Ravinder Kumar – PersonEntity: Name: NameFull: Chhabra, Deepak – PersonEntity: Name: NameFull: Tiwari, Sumit IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 0038092X Numbering: – Type: volume Value: 257 Titles: – TitleFull: Solar Energy Type: main |
| ResultId | 1 |
