LAPSE:2023.26737v1
Published Article
LAPSE:2023.26737v1
Energy Analysis and Exergy Optimization of Photovoltaic-Thermal Collector
April 3, 2023
A photovoltaic-thermal (PVT) collector is a solar-based micro-cogeneration system which generates simultaneously heat and power for buildings. The novelty of this paper is to conduct energy and exergy analysis on PVT collector performance under two different European climate conditions. The performance of the PVT collector is compared to a photovoltaic (PV) panel. Finally, the PVT design is optimized in terms of thermal and electrical exergy efficiencies. The optimized PVT designs are compared to the PV panel performance as well. The main focus is to find out if the PVT is still competitive with the PV panel electrical output, after maximizing its thermal exergy efficiency. The PVT collector is modelled into Matlab/Simulink to evaluate its performance under varying weather conditions. The PV panel is modelled with the CARNOT toolbox library. The optimization is conducted using Matlab gamultiobj-function based on the non-dominated sorting genetic algorithm-II (NSGA-II). The results indicated 7.7% higher annual energy production in Strasbourg. However, the exergy analysis revealed a better quality of thermal energy in Tampere with 72.9% higher thermal exergy production. The electrical output of the PVT is higher than from the PV during the summer months. The thermal exergy- driven PVT design is still competitive compared to the PV panel electrical output.
Keywords
Exergy, micro-cogeneration, multi-objective optimization, PV panel, PVT collector, solar energy
Suggested Citation
Kallio S, Siroux M. Energy Analysis and Exergy Optimization of Photovoltaic-Thermal Collector. (2023). LAPSE:2023.26737v1
Author Affiliations
Kallio S: INSA Strasbourg ICUBE, University of Strasbourg, 67000 Strasbourg, France [ORCID]
Siroux M: INSA Strasbourg ICUBE, University of Strasbourg, 67000 Strasbourg, France [ORCID]
Journal Name
Energies
Volume
13
Issue
19
Article Number
E5106
Year
2020
Publication Date
2020-10-01
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13195106, Publication Type: Journal Article
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doi:10.3390/en13195106
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Apr 3, 2023
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