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Solar exergy evaluation and empirical model establishment; case study: Iran

Iran with 300 sunny days in more than two thirds of its land is among the countries with high potential of solar energy. Nevertheless, to date no research has been conducted on status of solar exergy in Iran. In this study, in order to expand the perception of solar energy quality and to compensate...

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Autores principales: Khorasanizadeh, Hossein, Sepehrnia, Mojtaba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724167/
https://www.ncbi.nlm.nih.gov/pubmed/33319099
http://dx.doi.org/10.1016/j.heliyon.2020.e05638
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author Khorasanizadeh, Hossein
Sepehrnia, Mojtaba
author_facet Khorasanizadeh, Hossein
Sepehrnia, Mojtaba
author_sort Khorasanizadeh, Hossein
collection PubMed
description Iran with 300 sunny days in more than two thirds of its land is among the countries with high potential of solar energy. Nevertheless, to date no research has been conducted on status of solar exergy in Iran. In this study, in order to expand the perception of solar energy quality and to compensate the lack of research on solar radiation exergy in Iran, long term meteorological and solar data of eight capital provinces of Iran with five different climatic conditions are utilized. These properly distributed stations include Urmia, Bushehr, Isfahan, Ilam, Kerman, Mashhad, Zahedan and Zanjan. The monthly average daily solar radiation exergy on a horizontal surface for each station is obtained first, then it is recognized that the ratio of exergy to energy is almost independent of the month, the climatic condition and the geographical location; thus, can be considered 0.87 for the whole Iran. For predicting the solar exergy at every station, five empirical models with linear, quadratic, cubic, exponential and power functional forms, all dependent only on relative sunshine duration, are calibrated. Then, eight statistical indicators are utilized to evaluate the performance of the established models for every capital province. The best models recognized for Urmia, Bushehr, Isfahan, Ilam, Kerman, Mashhad, Zahedan and Zanjan have cubic, power, exponential, exponential, linear, quadratic, power and cubic functional forms, respectively. These models are simple and easy to apply and can be also utilized for other places with similar climatic classification and conditions.
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spelling pubmed-77241672020-12-13 Solar exergy evaluation and empirical model establishment; case study: Iran Khorasanizadeh, Hossein Sepehrnia, Mojtaba Heliyon Research Article Iran with 300 sunny days in more than two thirds of its land is among the countries with high potential of solar energy. Nevertheless, to date no research has been conducted on status of solar exergy in Iran. In this study, in order to expand the perception of solar energy quality and to compensate the lack of research on solar radiation exergy in Iran, long term meteorological and solar data of eight capital provinces of Iran with five different climatic conditions are utilized. These properly distributed stations include Urmia, Bushehr, Isfahan, Ilam, Kerman, Mashhad, Zahedan and Zanjan. The monthly average daily solar radiation exergy on a horizontal surface for each station is obtained first, then it is recognized that the ratio of exergy to energy is almost independent of the month, the climatic condition and the geographical location; thus, can be considered 0.87 for the whole Iran. For predicting the solar exergy at every station, five empirical models with linear, quadratic, cubic, exponential and power functional forms, all dependent only on relative sunshine duration, are calibrated. Then, eight statistical indicators are utilized to evaluate the performance of the established models for every capital province. The best models recognized for Urmia, Bushehr, Isfahan, Ilam, Kerman, Mashhad, Zahedan and Zanjan have cubic, power, exponential, exponential, linear, quadratic, power and cubic functional forms, respectively. These models are simple and easy to apply and can be also utilized for other places with similar climatic classification and conditions. Elsevier 2020-12-04 /pmc/articles/PMC7724167/ /pubmed/33319099 http://dx.doi.org/10.1016/j.heliyon.2020.e05638 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Khorasanizadeh, Hossein
Sepehrnia, Mojtaba
Solar exergy evaluation and empirical model establishment; case study: Iran
title Solar exergy evaluation and empirical model establishment; case study: Iran
title_full Solar exergy evaluation and empirical model establishment; case study: Iran
title_fullStr Solar exergy evaluation and empirical model establishment; case study: Iran
title_full_unstemmed Solar exergy evaluation and empirical model establishment; case study: Iran
title_short Solar exergy evaluation and empirical model establishment; case study: Iran
title_sort solar exergy evaluation and empirical model establishment; case study: iran
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724167/
https://www.ncbi.nlm.nih.gov/pubmed/33319099
http://dx.doi.org/10.1016/j.heliyon.2020.e05638
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