{"title":"Visualization and Prediction of the Albedo Map on the Algeria Ground, according to Coordinates of Latitude and Longitude","authors":"Foued Chabane, Ali Arif","doi":"10.3103/S0003701X22601260","DOIUrl":null,"url":null,"abstract":"<p>Aims investigation study to predict the albedo number as a function of latitude and longitude coordinates of the Algeria area, which is situated in North Africa. The estimated range of latitude is between 18.5° and 37.7° whereas the longitude is between –8.5° and 10.5°. The study takes the database as the real data, which is considered comparable values as a reference of the confirmation. An ideal reflector is going to have an albedo of 1, whereas an object that has an albedo of 0 is going to absorb any radiation that strikes it. Albedo is a measure of how much solar radiation, or sunlight, a surface reflects. It can be stated as a percentage or a decimal number, where 0 represents complete absorption of all incoming light and 1 represents a perfect reflector. The prediction model is divided into two parts the first part gives two formulas <i>g</i><sub>1</sub> and <i>g</i><sub>2</sub> which depend on the longitude and latitude of the coordinates of the area, respectively, and then added together <i>g</i><sub>1</sub>, and <i>g</i><sub>2</sub>, and divided by 2 to take the albedo number. for the second part do the correction between the model and experimental data, which gives us some errors, in this case, create a new correlation of the errors estimate <i>f</i><sub>1</sub>, and <i>f</i><sub>2</sub> and add in the old correlation. Finally, a new correlation is corrected and the results give a perfect approximation of the best way.</p>","PeriodicalId":475,"journal":{"name":"Applied Solar Energy","volume":"60 3","pages":"501 - 510"},"PeriodicalIF":1.2040,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Solar Energy","FirstCategoryId":"1","ListUrlMain":"https://link.springer.com/article/10.3103/S0003701X22601260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Energy","Score":null,"Total":0}
引用次数: 0
Abstract
Aims investigation study to predict the albedo number as a function of latitude and longitude coordinates of the Algeria area, which is situated in North Africa. The estimated range of latitude is between 18.5° and 37.7° whereas the longitude is between –8.5° and 10.5°. The study takes the database as the real data, which is considered comparable values as a reference of the confirmation. An ideal reflector is going to have an albedo of 1, whereas an object that has an albedo of 0 is going to absorb any radiation that strikes it. Albedo is a measure of how much solar radiation, or sunlight, a surface reflects. It can be stated as a percentage or a decimal number, where 0 represents complete absorption of all incoming light and 1 represents a perfect reflector. The prediction model is divided into two parts the first part gives two formulas g1 and g2 which depend on the longitude and latitude of the coordinates of the area, respectively, and then added together g1, and g2, and divided by 2 to take the albedo number. for the second part do the correction between the model and experimental data, which gives us some errors, in this case, create a new correlation of the errors estimate f1, and f2 and add in the old correlation. Finally, a new correlation is corrected and the results give a perfect approximation of the best way.
期刊介绍:
Applied Solar Energy is an international peer reviewed journal covers various topics of research and development studies on solar energy conversion and use: photovoltaics, thermophotovoltaics, water heaters, passive solar heating systems, drying of agricultural production, water desalination, solar radiation condensers, operation of Big Solar Oven, combined use of solar energy and traditional energy sources, new semiconductors for solar cells and thermophotovoltaic system photocells, engines for autonomous solar stations.