Detecting clear‐sky periods from photovoltaic power measurements

A method for detecting clear-sky periods from photovoltaic (PV) power measurements is presented and validated. It uses five tests dealing with parameters characterizing the connections between the measured PV power and the corresponding clear-sky power. To estimate clear-sky PV power, a PV model has...

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Bibliographic Details
Main Authors: Wandji Nyamsi, William, Lindfors, Anders
Other Authors: Ilmatieteen laitos, Finnish Meteorological Institute, orcid:0000-0003-0048-292X, orcid:0000-0001-9305-0864
Format: Article in Journal/Newspaper
Language:English
Published: Royal Meteorological Society 2024
Subjects:
Online Access:http://hdl.handle.net/10138/577166
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author Wandji Nyamsi, William
Lindfors, Anders
author2 Ilmatieteen laitos
Finnish Meteorological Institute
orcid:0000-0003-0048-292X
orcid:0000-0001-9305-0864
author_facet Wandji Nyamsi, William
Lindfors, Anders
author_sort Wandji Nyamsi, William
collection HELDA – University of Helsinki Open Repository
description A method for detecting clear-sky periods from photovoltaic (PV) power measurements is presented and validated. It uses five tests dealing with parameters characterizing the connections between the measured PV power and the corresponding clear-sky power. To estimate clear-sky PV power, a PV model has been designed using as inputs downwelling shortwave irradiance and its direct and diffuse components received at ground level under clear-sky conditions as well as reflectivity of the Earth's surface and extraterrestrial irradiance, altogether provided by the McClear service. In addition to McClear products, the PV model requires wind speed and temperature as inputs taken from ECMWF twentieth century reanalysis ERA5 products. The performance of the proposed method has been assessed and validated by visual inspection and compared to two well-known algorithms identifying clear-sky periods with broadband global and diffuse irradiance measurements on a horizontal surface. The assessment was carried out at two stations located in Finland offering collocated 1-min PV power and broadband irradiance measurements. Overall, total agreement ranges between 84% and 97% (depending on the season) in discriminating clear-sky and cloudy periods with respect to the two well-known algorithms serving as reference. The disagreement fluctuating between 6% and 15%, depending on the season, primarily occurs while the PV module temperature is adequately high and/or when the sun is close to the horizon with many more interactions between the radiation, the atmosphere and the ground surface.
format Article in Journal/Newspaper
genre Arctic
Arktinen alue
genre_facet Arctic
Arktinen alue
geographic Arctic
geographic_facet Arctic
id ftunivhelsihelda:oai:helda.helsinki.fi:10138/577166
institution Open Polar
language English
op_collection_id ftunivhelsihelda
op_relation Meteorological applications
10.1002/met.2201
1350-4827
1469-8080
3
31
103774
http://hdl.handle.net/10138/577166
URN:NBN:fi-fe2024061251652
op_rights CC BY 4.0
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publisher Royal Meteorological Society
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spelling ftunivhelsihelda:oai:helda.helsinki.fi:10138/577166 2025-01-16T20:42:42+00:00 Detecting clear‐sky periods from photovoltaic power measurements Wandji Nyamsi, William Lindfors, Anders Ilmatieteen laitos Finnish Meteorological Institute orcid:0000-0003-0048-292X orcid:0000-0001-9305-0864 2024-06-12T15:23:26Z application/pdf http://hdl.handle.net/10138/577166 en eng Royal Meteorological Society Meteorological applications 10.1002/met.2201 1350-4827 1469-8080 3 31 103774 http://hdl.handle.net/10138/577166 URN:NBN:fi-fe2024061251652 CC BY 4.0 measurement measuring methods temperature radiation interaction arctic region algorithms service design validation method seasons mittaus mittausmenetelmät lämpötila säteily vuorovaikutus arktinen alue algoritmit palvelumuotoilu validaatio-menetelmä vuodenajat A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä A1 Journal article (refereed), original research publishedVersion 2024 ftunivhelsihelda 2024-06-18T14:26:52Z A method for detecting clear-sky periods from photovoltaic (PV) power measurements is presented and validated. It uses five tests dealing with parameters characterizing the connections between the measured PV power and the corresponding clear-sky power. To estimate clear-sky PV power, a PV model has been designed using as inputs downwelling shortwave irradiance and its direct and diffuse components received at ground level under clear-sky conditions as well as reflectivity of the Earth's surface and extraterrestrial irradiance, altogether provided by the McClear service. In addition to McClear products, the PV model requires wind speed and temperature as inputs taken from ECMWF twentieth century reanalysis ERA5 products. The performance of the proposed method has been assessed and validated by visual inspection and compared to two well-known algorithms identifying clear-sky periods with broadband global and diffuse irradiance measurements on a horizontal surface. The assessment was carried out at two stations located in Finland offering collocated 1-min PV power and broadband irradiance measurements. Overall, total agreement ranges between 84% and 97% (depending on the season) in discriminating clear-sky and cloudy periods with respect to the two well-known algorithms serving as reference. The disagreement fluctuating between 6% and 15%, depending on the season, primarily occurs while the PV module temperature is adequately high and/or when the sun is close to the horizon with many more interactions between the radiation, the atmosphere and the ground surface. Article in Journal/Newspaper Arctic Arktinen alue HELDA – University of Helsinki Open Repository Arctic
spellingShingle measurement
measuring methods
temperature
radiation
interaction
arctic region
algorithms
service design
validation method
seasons
mittaus
mittausmenetelmät
lämpötila
säteily
vuorovaikutus
arktinen alue
algoritmit
palvelumuotoilu
validaatio-menetelmä
vuodenajat
Wandji Nyamsi, William
Lindfors, Anders
Detecting clear‐sky periods from photovoltaic power measurements
title Detecting clear‐sky periods from photovoltaic power measurements
title_full Detecting clear‐sky periods from photovoltaic power measurements
title_fullStr Detecting clear‐sky periods from photovoltaic power measurements
title_full_unstemmed Detecting clear‐sky periods from photovoltaic power measurements
title_short Detecting clear‐sky periods from photovoltaic power measurements
title_sort detecting clear‐sky periods from photovoltaic power measurements
topic measurement
measuring methods
temperature
radiation
interaction
arctic region
algorithms
service design
validation method
seasons
mittaus
mittausmenetelmät
lämpötila
säteily
vuorovaikutus
arktinen alue
algoritmit
palvelumuotoilu
validaatio-menetelmä
vuodenajat
topic_facet measurement
measuring methods
temperature
radiation
interaction
arctic region
algorithms
service design
validation method
seasons
mittaus
mittausmenetelmät
lämpötila
säteily
vuorovaikutus
arktinen alue
algoritmit
palvelumuotoilu
validaatio-menetelmä
vuodenajat
url http://hdl.handle.net/10138/577166