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contributor authorde Souza, Amaury
contributor authorIhaddadene, Razika
contributor authorIhaddadene, Nabila
contributor authorE. Oguntunde, Pelumi
date accessioned2019-09-18T09:01:03Z
date available2019-09-18T09:01:03Z
date copyright5/8/2019 12:00:00 AM
date issued2019
identifier issn0199-6231
identifier othersol_141_6_061001
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4257916
description abstractThe 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.
publisherAmerican Society of Mechanical Engineers (ASME)
titleClarity Index Analysis and Modeling Using Probability Distribution Functions in Campo Grande-MS, Brazil
typeJournal Paper
journal volume141
journal issue6
journal titleJournal of Solar Energy Engineering
identifier doi10.1115/1.4043615
journal fristpage61001
journal lastpage061001-7
treeJournal of Solar Energy Engineering:;2019:;volume( 141 ):;issue: 006
contenttypeFulltext


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