Performance monitoring and modeling of an uncovered photovoltaic-thermal (PVT) water collector
Performance monitoring and modeling of an uncovered photovoltaic-thermal (PVT) water collector
PVT technology presents many attractive features for a wide application in the building sector since it is able to produce electricity and thermal energy at the same time with better overall performances and reduced surfaces in comparison with the two separated solar technologies. However the effectiveness of the PVT modules is most evident when they are integrated in complex systems, capable of fully exploiting their multi-functionality (e.g. heat pump coupling, multi-storage interconnection, etc.). For that reason, the research work presents a mathematical model for energy simulation of PVT systems, which takes in account all factors and parameters involved in the energy performance of an uncovered hybrid collector; the model can be easily implemented in any performance calculation tool in order to carry out technical-economic assessment of PVT systems.The experimental calibration and validation of the proposed model was performed in outdoor conditions on a commercial PVT product, at the Test Facility of the Politecnico di Milano University, and finally the model was ran supposing the application in three different locations. The validation of the developed simulation model shows a good agreement with monitored data also if a mismatch occurred due to an assembling defect of the tested commercial PVT component.
IR acquisition, PVT water collector, Simulation model, Thermal and electrical performance
551-568
Aste, Niccolò
9f0175c5-0192-4167-ac2e-c3735c794fde
Del Pero, Claudio
3462791d-5f1b-4c2c-9f0a-4f9005b47435
Leonforte, Fabrizio
f4d9dad5-2d48-49b2-a6f7-b9dcda5ab9de
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
1 October 2016
Aste, Niccolò
9f0175c5-0192-4167-ac2e-c3735c794fde
Del Pero, Claudio
3462791d-5f1b-4c2c-9f0a-4f9005b47435
Leonforte, Fabrizio
f4d9dad5-2d48-49b2-a6f7-b9dcda5ab9de
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Aste, Niccolò, Del Pero, Claudio, Leonforte, Fabrizio and Manfren, Massimiliano
(2016)
Performance monitoring and modeling of an uncovered photovoltaic-thermal (PVT) water collector.
Solar Energy, 135, .
(doi:10.1016/j.solener.2016.06.029).
Abstract
PVT technology presents many attractive features for a wide application in the building sector since it is able to produce electricity and thermal energy at the same time with better overall performances and reduced surfaces in comparison with the two separated solar technologies. However the effectiveness of the PVT modules is most evident when they are integrated in complex systems, capable of fully exploiting their multi-functionality (e.g. heat pump coupling, multi-storage interconnection, etc.). For that reason, the research work presents a mathematical model for energy simulation of PVT systems, which takes in account all factors and parameters involved in the energy performance of an uncovered hybrid collector; the model can be easily implemented in any performance calculation tool in order to carry out technical-economic assessment of PVT systems.The experimental calibration and validation of the proposed model was performed in outdoor conditions on a commercial PVT product, at the Test Facility of the Politecnico di Milano University, and finally the model was ran supposing the application in three different locations. The validation of the developed simulation model shows a good agreement with monitored data also if a mismatch occurred due to an assembling defect of the tested commercial PVT component.
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More information
Accepted/In Press date: 11 June 2016
e-pub ahead of print date: 17 June 2016
Published date: 1 October 2016
Keywords:
IR acquisition, PVT water collector, Simulation model, Thermal and electrical performance
Identifiers
Local EPrints ID: 414279
URI: http://eprints.soton.ac.uk/id/eprint/414279
ISSN: 0038-092X
PURE UUID: 5d87f56e-3dad-4e60-8838-b0fb370b30c3
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Date deposited: 21 Sep 2017 16:31
Last modified: 16 Mar 2024 04:29
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Contributors
Author:
Niccolò Aste
Author:
Claudio Del Pero
Author:
Fabrizio Leonforte
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