An improved model for performance predicting and optimization of wearable thermoelectric generators with radiative cooling.
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| Title: | An improved model for performance predicting and optimization of wearable thermoelectric generators with radiative cooling. |
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| Authors: | Pan, Haodan1 (AUTHOR), Zhao, Dongliang1,2 (AUTHOR) dongliang_zhao@seu.edu.cn |
| Source: | Energy Conversion & Management. May2023, Vol. 284, pN.PAG-N.PAG. 1p. |
| Subjects: | Heat radiation & absorption, Thermoelectric generators, Cooling, Heat sinks, Body temperature, Thermal resistance |
| Abstract: | • Radiative cooling cold side has been integrated into the wearable thermoelectric generator (WTEG) model. • WTEG's output performance can be accurately predicted under various outdoor conditions. • The WTEG employs radiative cooling cold side outperforms the ones with bare or finned cold side. • By optimizing thermal resistance, a 220% enhancement in output power can be achieved. Wearable thermoelectric generators (WTEGs) have shown great potential for harvesting low-grade body heat. However, inappropriate design of cold side heat sinks leads to unsatisfactory power generation efficiency. To overcome this, radiative cooling cold side has been introduced by some earlier researchers. Nonetheless, a reliable performance evaluation model lacks for WTEGs with radiative cooling at outdoors. In this paper, we propose a novel analytic model, which considers comprehensive thermoregulatory mechanisms and detailed radiative heat transfer process. The model demonstrates good accuracy with less than 9% error in a variety of conditions. Furthermore, the proposed dynamic model greatly outperforms the constant model and static model in terms of WTEG output performance prediction at outdoors, which can reduce the deviations by up to 196.4% and 71.6%, respectively. Among the three types of cold side structures (bare, finned, and radiative cooling), we found that the radiative cooling cold side performed best. Accordingly, the output performance of the WTEG with radiative cooling was further investigated, and the influences of climatic conditions and spectral properties of radiative cooling on WTEG were obtained. Different human body segments were also considered in outdoor simulations, with the shoulder giving the best performance. Finally, based on the proposed model, the thermal resistance improvement indicates that 220% output performance enhancement is possible, which could be beneficial for device design and utilization in many other applications. [ABSTRACT FROM AUTHOR] |
| Copyright of Energy Conversion & Management 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: 163147423 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An improved model for performance predicting and optimization of wearable thermoelectric generators with radiative cooling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pan%2C+Haodan%22">Pan, Haodan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Dongliang%22">Zhao, Dongliang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> dongliang_zhao@seu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energy+Conversion+%26+Management%22">Energy Conversion & Management</searchLink>. May2023, Vol. 284, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Heat+radiation+%26+absorption%22">Heat radiation & absorption</searchLink><br /><searchLink fieldCode="DE" term="%22Thermoelectric+generators%22">Thermoelectric generators</searchLink><br /><searchLink fieldCode="DE" term="%22Cooling%22">Cooling</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+sinks%22">Heat sinks</searchLink><br /><searchLink fieldCode="DE" term="%22Body+temperature%22">Body temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+resistance%22">Thermal resistance</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Radiative cooling cold side has been integrated into the wearable thermoelectric generator (WTEG) model. • WTEG's output performance can be accurately predicted under various outdoor conditions. • The WTEG employs radiative cooling cold side outperforms the ones with bare or finned cold side. • By optimizing thermal resistance, a 220% enhancement in output power can be achieved. Wearable thermoelectric generators (WTEGs) have shown great potential for harvesting low-grade body heat. However, inappropriate design of cold side heat sinks leads to unsatisfactory power generation efficiency. To overcome this, radiative cooling cold side has been introduced by some earlier researchers. Nonetheless, a reliable performance evaluation model lacks for WTEGs with radiative cooling at outdoors. In this paper, we propose a novel analytic model, which considers comprehensive thermoregulatory mechanisms and detailed radiative heat transfer process. The model demonstrates good accuracy with less than 9% error in a variety of conditions. Furthermore, the proposed dynamic model greatly outperforms the constant model and static model in terms of WTEG output performance prediction at outdoors, which can reduce the deviations by up to 196.4% and 71.6%, respectively. Among the three types of cold side structures (bare, finned, and radiative cooling), we found that the radiative cooling cold side performed best. Accordingly, the output performance of the WTEG with radiative cooling was further investigated, and the influences of climatic conditions and spectral properties of radiative cooling on WTEG were obtained. Different human body segments were also considered in outdoor simulations, with the shoulder giving the best performance. Finally, based on the proposed model, the thermal resistance improvement indicates that 220% output performance enhancement is possible, which could be beneficial for device design and utilization in many other applications. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energy Conversion & Management 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.enconman.2023.116981 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Heat radiation & absorption Type: general – SubjectFull: Thermoelectric generators Type: general – SubjectFull: Cooling Type: general – SubjectFull: Heat sinks Type: general – SubjectFull: Body temperature Type: general – SubjectFull: Thermal resistance Type: general Titles: – TitleFull: An improved model for performance predicting and optimization of wearable thermoelectric generators with radiative cooling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pan, Haodan – PersonEntity: Name: NameFull: Zhao, Dongliang IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 01968904 Numbering: – Type: volume Value: 284 Titles: – TitleFull: Energy Conversion & Management Type: main |
| ResultId | 1 |
