| dc.contributor.author | de Souza, Amaury | |
| dc.contributor.author | Ihaddadene, Razika | |
| dc.contributor.author | Ihaddadene, Nabila | |
| dc.contributor.author | E. Oguntunde, Pelumi | |
| dc.date.accessioned | 2019-09-18T09:01:03Z | |
| dc.date.available | 2019-09-18T09:01:03Z | |
| dc.date.copyright | 5/8/2019 12:00:00 AM | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 0199-6231 | |
| dc.identifier.other | sol_141_6_061001 | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4257916 | |
| dc.description.abstract | 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. | |
| dc.publisher | American Society of Mechanical Engineers (ASME) | |
| dc.title | Clarity Index Analysis and Modeling Using Probability Distribution Functions in Campo Grande-MS, Brazil | |
| dc.type | Journal Paper | |
| dc.journal.volume | 141 | |
| dc.journal.issue | 6 | |
| dc.journal.title | Journal of Solar Energy Engineering | |
| dc.identifier.doi | 10.1115/1.4043615 | |
| dc.journal.fristpage | 61001 | |
| dc.journal.lastpage | 061001-7 | |
| dc.tree | Journal of Solar Energy Engineering:;2019:;volume( 141 ):;issue: 006 | |
| dc.contenttype | Fulltext | |
