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...
Main Authors: | , |
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Other Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Royal Meteorological Society
2024
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Subjects: | |
Online Access: | http://hdl.handle.net/10138/577166 |
_version_ | 1821837565333864448 |
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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 |
publishDate | 2024 |
publisher | Royal Meteorological Society |
record_format | openpolar |
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 |