Clarity Index Analysis and Modeling Using Probability Distribution Functions in Campo Grande-MS, Brazil

Clarity Index Analysis and Modeling Using Probability Distribution Functions in Campo Grande-MS, Brazil

The importance of statistical analysis in the field of energy for environmental engineering is shown in this research paper, in which the adequacy of the data sets of clarity index with the model of “best” probability (based on the criteria used) was studied. In Campo Grande which is the capital of...

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Veröffentlicht in:Journal of solar energy engineering 2019-12, Vol.141 (6)
Hauptverfasser: de Souza, Amaury, Ihaddadene, Razika, Ihaddadene, Nabila, E. Oguntunde, Pelumi
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container_issue 6
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container_title Journal of solar energy engineering
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creator de Souza, Amaury
Ihaddadene, Razika
Ihaddadene, Nabila
E. Oguntunde, Pelumi
description The importance of statistical analysis in the field of energy for environmental engineering is shown in this research paper, in which the adequacy of the data sets of clarity index with the model of “best” probability (based on the criteria used) was studied. In Campo Grande which is the capital of the Brazilian state of Mato Grosso do Sul, located in the Center-West region of the country, there is a predominance of the atmospheric conditions of low cloudiness, with a high frequency of days with a clear sky and in consequence a low-frequency of days with cloudy sky. The aerosols resulting from the burning of sugarcane influence the sky conditions in Campo Grande thus reducing the frequency of the clear sky.
doi_str_mv 10.1115/1.4043615
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title Clarity Index Analysis and Modeling Using Probability Distribution Functions in Campo Grande-MS, Brazil
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