Estimating solar irradiation in the Arctic

Source at https://doi.org/10.1051/rees/2016048. Solar radiation data plays an important role in pre-feasibility studies of solar electricity and/or thermal system installations. Measured solar radiation data is scarcely available due to the high cost of installing and maintaining high quality solar...

Full description

Bibliographic Details
Published in:Renewable Energy and Environmental Sustainability
Main Authors: Babar, Bilal, Boström, Tobias
Format: Article in Journal/Newspaper
Language:English
Published: EDP Open 2016
Subjects:
Online Access:https://hdl.handle.net/10037/15217
https://doi.org/10.1051/rees/2016048
id ftunivtroemsoe:oai:munin.uit.no:10037/15217
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/15217 2023-05-15T14:26:22+02:00 Estimating solar irradiation in the Arctic Babar, Bilal Boström, Tobias 2016-08-22 https://hdl.handle.net/10037/15217 https://doi.org/10.1051/rees/2016048 eng eng EDP Open Babar, Bilal (2019). Solar resource assessment at high latitude regions. (Doctoral thesis). https://hdl.handle.net/10037/15216. Renewable Energy and Environmental Sustainability Babar, B. & Boström, T. (2016). Estimating solar irradiation in the Arctic. Renewable Energy and Environmental Sustainability, 1 , 34. https://doi.org/10.1051/rees/2016048 FRIDAID 1384322 doi:10.1051/rees/2016048 2493-9439 https://hdl.handle.net/10037/15217 openAccess VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 Journal article Tidsskriftartikkel Peer reviewed 2016 ftunivtroemsoe https://doi.org/10.1051/rees/2016048 2021-06-25T17:56:33Z Source at https://doi.org/10.1051/rees/2016048. Solar radiation data plays an important role in pre-feasibility studies of solar electricity and/or thermal system installations. Measured solar radiation data is scarcely available due to the high cost of installing and maintaining high quality solar radiation sensors (pyranometers). Indirect measured radiation data received from geostationary satellites is unreliable at latitudes above 60 degrees due to the resulting flat viewing angle. In this paper, an empirical method to estimate solar radiation based on minimum climatological data is proposed. Eight sites in Norway are investigated, all of which lie above 60 N. The estimations by the model are compared to the ground measured values and a correlation coefficient of 0.88 was found while over all percentage error was −1.1%. The proposed models is 0.2% efficient on diurnal and 10.8% better in annual estimations than previous models. Article in Journal/Newspaper Arctic Arctic University of Tromsø: Munin Open Research Archive Arctic Norway Renewable Energy and Environmental Sustainability 1 34
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Mathematics and natural science: 400::Physics: 430
VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
spellingShingle VDP::Mathematics and natural science: 400::Physics: 430
VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
Babar, Bilal
Boström, Tobias
Estimating solar irradiation in the Arctic
topic_facet VDP::Mathematics and natural science: 400::Physics: 430
VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
description Source at https://doi.org/10.1051/rees/2016048. Solar radiation data plays an important role in pre-feasibility studies of solar electricity and/or thermal system installations. Measured solar radiation data is scarcely available due to the high cost of installing and maintaining high quality solar radiation sensors (pyranometers). Indirect measured radiation data received from geostationary satellites is unreliable at latitudes above 60 degrees due to the resulting flat viewing angle. In this paper, an empirical method to estimate solar radiation based on minimum climatological data is proposed. Eight sites in Norway are investigated, all of which lie above 60 N. The estimations by the model are compared to the ground measured values and a correlation coefficient of 0.88 was found while over all percentage error was −1.1%. The proposed models is 0.2% efficient on diurnal and 10.8% better in annual estimations than previous models.
format Article in Journal/Newspaper
author Babar, Bilal
Boström, Tobias
author_facet Babar, Bilal
Boström, Tobias
author_sort Babar, Bilal
title Estimating solar irradiation in the Arctic
title_short Estimating solar irradiation in the Arctic
title_full Estimating solar irradiation in the Arctic
title_fullStr Estimating solar irradiation in the Arctic
title_full_unstemmed Estimating solar irradiation in the Arctic
title_sort estimating solar irradiation in the arctic
publisher EDP Open
publishDate 2016
url https://hdl.handle.net/10037/15217
https://doi.org/10.1051/rees/2016048
geographic Arctic
Norway
geographic_facet Arctic
Norway
genre Arctic
Arctic
genre_facet Arctic
Arctic
op_relation Babar, Bilal (2019). Solar resource assessment at high latitude regions. (Doctoral thesis). https://hdl.handle.net/10037/15216.
Renewable Energy and Environmental Sustainability
Babar, B. & Boström, T. (2016). Estimating solar irradiation in the Arctic. Renewable Energy and Environmental Sustainability, 1 , 34. https://doi.org/10.1051/rees/2016048
FRIDAID 1384322
doi:10.1051/rees/2016048
2493-9439
https://hdl.handle.net/10037/15217
op_rights openAccess
op_doi https://doi.org/10.1051/rees/2016048
container_title Renewable Energy and Environmental Sustainability
container_volume 1
container_start_page 34
_version_ 1766298893432127488