A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Soiling monitoring modelling for photovoltaic system
Soiling on photovoltaic panels is a factor that has a significant impact on the photovoltaic production. The monitoring of the soiling index appears as a relevant alternative for the maintenance of solar systems. This work proposes a soiling index modelling for photovoltaic systems based on two input variables, namely the solar radiation and the generated current, providing a simple, programmable and reliable way to check the efficiency and be able to establish the parameters for cleaning the system. The study was based on the adaptation of an existing mathematical modelling, that besides to estimate the soiling index also allows to establish an optimal point for cleaning. The proposed model is compared with the results provided by the PVSyst software aiming its validation. The achieved results show that, despite the developed system only consider two input variables, it presents a low relative error, i.e. 2.07%, when compared to the PVSyst software, allowing to conclude that the proposed modelling system is valid and presents excellent reliability, having a vast applicability in the monitoring of solar producers of any model or size. ; This work has been supported by FCT- Funda¸c˜ao para a Ciˆencia e Tecnologia within the Project Scope: UIDB/05757/2020 ; info:eu-repo/semantics/publishedVersion
Soiling monitoring modelling for photovoltaic system
Soiling on photovoltaic panels is a factor that has a significant impact on the photovoltaic production. The monitoring of the soiling index appears as a relevant alternative for the maintenance of solar systems. This work proposes a soiling index modelling for photovoltaic systems based on two input variables, namely the solar radiation and the generated current, providing a simple, programmable and reliable way to check the efficiency and be able to establish the parameters for cleaning the system. The study was based on the adaptation of an existing mathematical modelling, that besides to estimate the soiling index also allows to establish an optimal point for cleaning. The proposed model is compared with the results provided by the PVSyst software aiming its validation. The achieved results show that, despite the developed system only consider two input variables, it presents a low relative error, i.e. 2.07%, when compared to the PVSyst software, allowing to conclude that the proposed modelling system is valid and presents excellent reliability, having a vast applicability in the monitoring of solar producers of any model or size. ; This work has been supported by FCT- Funda¸c˜ao para a Ciˆencia e Tecnologia within the Project Scope: UIDB/05757/2020 ; info:eu-repo/semantics/publishedVersion
Soiling monitoring modelling for photovoltaic system
Pagani, Vitor H. (author) / Los, Nelson Anthony (author) / Maidana, Wellington (author) / Leitão, Paulo (author) / Casaro, Marcio M. (author) / Nascimento, Claudinor B. (author)
2021-01-01
Conference paper
Electronic Resource
English
DDC:
690
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