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A platform for research: civil engineering, architecture and urbanism
Incidence angle and diffuse radiation adaptation of soiling ratio measurements of indirect optical soiling sensors
Soiling is responsible for a loss of 3%–4% of the potential global solar power production that is estimated to rise because of increased deployment in dusty environments [Ilse et al., Joule 3, 2303–2321 (2019)]. For effective mitigation strategies and site selection soiling ratio data is crucial. Soiling can be measured directly by comparing the power or short circuit current of a soiled PV cell or module to that of a clean photovoltaic (PV) device of the same model. In recent years, a number of indirect soiling sensors such as Kipp and Zonen's DustIQ and Atonometric's MARS were introduced. These sensors do not use PV cells to determine the soiling ratio. Indirect soiling sensors derive soiling based on information such as particle concentration and size. The soiling loss of PV systems shows a strong angle of incidence (AOI) dependent pattern for sunny conditions. This pattern is not reproduced by indirect sensors such as DustIQ and MARS. We developed a method to adapt the soiling measurement of indirect soiling sensors using the AOI and the Linke turbidity. The adaptation is based on an analysis of the AOI dependence of the reference cell-derived soiling ratio. Linke turbidity is derived from irradiance measurements. The method reduces the root mean square error between the soiling ratios detected by the DustIQ and a colocated pair of PV reference cells from 0.7% to 0.2%. It can improve cumulative performance calculations that use indirect soiling measurements as an input.
Incidence angle and diffuse radiation adaptation of soiling ratio measurements of indirect optical soiling sensors
Soiling is responsible for a loss of 3%–4% of the potential global solar power production that is estimated to rise because of increased deployment in dusty environments [Ilse et al., Joule 3, 2303–2321 (2019)]. For effective mitigation strategies and site selection soiling ratio data is crucial. Soiling can be measured directly by comparing the power or short circuit current of a soiled PV cell or module to that of a clean photovoltaic (PV) device of the same model. In recent years, a number of indirect soiling sensors such as Kipp and Zonen's DustIQ and Atonometric's MARS were introduced. These sensors do not use PV cells to determine the soiling ratio. Indirect soiling sensors derive soiling based on information such as particle concentration and size. The soiling loss of PV systems shows a strong angle of incidence (AOI) dependent pattern for sunny conditions. This pattern is not reproduced by indirect sensors such as DustIQ and MARS. We developed a method to adapt the soiling measurement of indirect soiling sensors using the AOI and the Linke turbidity. The adaptation is based on an analysis of the AOI dependence of the reference cell-derived soiling ratio. Linke turbidity is derived from irradiance measurements. The method reduces the root mean square error between the soiling ratios detected by the DustIQ and a colocated pair of PV reference cells from 0.7% to 0.2%. It can improve cumulative performance calculations that use indirect soiling measurements as an input.
Incidence angle and diffuse radiation adaptation of soiling ratio measurements of indirect optical soiling sensors
Wolfertstetter, F. (author) / Esquelli, A. (author) / Wilbert, S. (author) / Hanrieder, N. (author) / Blum, N. (author) / Korevaar, M. (author) / Bergmans, T. (author) / Zarzalejo, L. (author) / Polo, J. (author) / Alami-Merrouni, A. (author)
2021-05-01
12 pages
Article (Journal)
Electronic Resource
English
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