Research Papers

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

[+] Author and Article Information
Amaury de Souza

Physics Institute, Federal University of Mato Grosso do Sul, Campo Grande,
79070-900 Campo Grande,
Mato Grosso do Sul, Brazil
e-mail: amaury.de@uol.com.br

Razika Ihaddadene

Associate Professor
Department of Mechanical Engineering,
University of M’Sila,
M'Sila 28000, Algeria
e-mail: razika.ihaddadene@univ-msila.dz

Nabila Ihaddadene

Associate Professor
Department of Mechanical Engineering,
University of M’Sila,
M'Sila 28000, Algeria
e-mail: nabila.ihaddadene@univ-msila.dz

Pelumi E. Oguntunde

Department of Mathematics,
Covenant University,
KM. 10 Idiroko Road,
Canaan Land, Ota, Ogun State,
e-mail: pelumi.oguntunde@covenantuniversity.edu.ng

Contributed by the Solar Energy Division of ASME for publication in the Journal of Solar Energy Engineering: Including Wind Energy and Building Energy Conservation. Manuscript received January 29, 2019; final manuscript received April 16, 2019; published online May 8, 2019. Assoc. Editor: M. Keith Sharp.

J. Sol. Energy Eng 141(6), 061001 (May 08, 2019) (7 pages) Paper No: SOL-19-1036; doi: 10.1115/1.4043615 History: Received January 29, 2019; Accepted April 22, 2019

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.

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Grahic Jump Location
Fig. 1

Location of the Municipality of Campo Grande in the State of South Mato Grosso

Grahic Jump Location
Fig. 2

Meteorological data analysis during the year of 2017 in Campo Grande

Grahic Jump Location
Fig. 3

Clarity index frequency distribution in Compo Grande for the year 2017

Grahic Jump Location
Fig. 4

Pearson correlation coefficient between the clarity index and the studied meteorological parameters in Campo Grande (2017)

Grahic Jump Location
Fig. 5

Comparison of pdfs and cdfs clarity index in Campo Grande



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