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A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China

Since air temperature records are readily available around the world, the models based on air temperature for estimating solar radiation have been widely accepted. In this paper, a new model based on Hargreaves and Samani (HS) method for estimating monthly average daily global solar radiation is pro...

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Detalles Bibliográficos
Autores principales: Li, Huashan, Cao, Fei, Wang, Xianlong, Ma, Weibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925550/
https://www.ncbi.nlm.nih.gov/pubmed/24605046
http://dx.doi.org/10.1155/2014/128754
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author Li, Huashan
Cao, Fei
Wang, Xianlong
Ma, Weibin
author_facet Li, Huashan
Cao, Fei
Wang, Xianlong
Ma, Weibin
author_sort Li, Huashan
collection PubMed
description Since air temperature records are readily available around the world, the models based on air temperature for estimating solar radiation have been widely accepted. In this paper, a new model based on Hargreaves and Samani (HS) method for estimating monthly average daily global solar radiation is proposed. With statistical error tests, the performance of the new model is validated by comparing with the HS model and its two modifications (Samani model and Chen model) against the measured data at 65 meteorological stations in China. Results show that the new model is more accurate and robust than the HS, Samani, and Chen models in all climatic regions, especially in the humid regions. Hence, the new model can be recommended for estimating solar radiation in areas where only air temperature data are available in China.
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spelling pubmed-39255502014-03-06 A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China Li, Huashan Cao, Fei Wang, Xianlong Ma, Weibin ScientificWorldJournal Research Article Since air temperature records are readily available around the world, the models based on air temperature for estimating solar radiation have been widely accepted. In this paper, a new model based on Hargreaves and Samani (HS) method for estimating monthly average daily global solar radiation is proposed. With statistical error tests, the performance of the new model is validated by comparing with the HS model and its two modifications (Samani model and Chen model) against the measured data at 65 meteorological stations in China. Results show that the new model is more accurate and robust than the HS, Samani, and Chen models in all climatic regions, especially in the humid regions. Hence, the new model can be recommended for estimating solar radiation in areas where only air temperature data are available in China. Hindawi Publishing Corporation 2014-01-29 /pmc/articles/PMC3925550/ /pubmed/24605046 http://dx.doi.org/10.1155/2014/128754 Text en Copyright © 2014 Huashan Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Huashan
Cao, Fei
Wang, Xianlong
Ma, Weibin
A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China
title A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China
title_full A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China
title_fullStr A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China
title_full_unstemmed A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China
title_short A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China
title_sort temperature-based model for estimating monthly average daily global solar radiation in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925550/
https://www.ncbi.nlm.nih.gov/pubmed/24605046
http://dx.doi.org/10.1155/2014/128754
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