Please use this identifier to cite or link to this item:
http://ir.futminna.edu.ng:8080/jspui/handle/123456789/9900
Title: | Analysis of Solar Energy Potentials in Katsina and Sokoto States, Nigeria |
Authors: | Irekeola, B. J. Bori, I. Adedipe, O. Babawuya, Alkali |
Keywords: | Energy solar radiation linear regression |
Issue Date: | 2020 |
Publisher: | Nigerian Institution of Mechanical Engineers Minna,(NimechE-Natioanl) |
Citation: | B. J. Erekeola, I. Bori, O. Adedipe, A. Babawuya, Analysis of Enrgy Potentials in Katsina and Sokoto State, Nigeria, Proceedings of the 33rd Conference of the Nigerian Society of Engineers (NSE), Jos, Nigeria, 186-192 |
Abstract: | For many years Nigeria has been facing energy crisis that is hampering her economic development. Energy is one of the key fundamentals for energy development and it is also fundamental to all human activities in this era. In this study, renewable energy potential in Sokoto and Katsina states were analyzed respectively. Data covering a period of ten years (2007-2017) were obtained from the Nigerian Meteorological Agency (NIMET) Abuja, for monthly average solar radiation, maximum and minimum temperatures for the two states under investigations. The data were subjected to statistical analysis such as normal test, to examine whether the data is normally distributed using standardized coefficient of skewness and kurtosis using a 250 W by 1.68m2 solar panel; the results show that the solar radiations are negatively skewed by a value of -0.6 and -0.43, which makes the two states more reliable during the dry season of the year. The two states have a kurtosis of -1.17 -and -1.38 indicating that the bell shape is slightly flatten than normal distribution shape. A linear regression model was also developed to predict the trends in solar radiation for the study area. The results show that Katsina State has a higher reliability (0.86) for solar energy potentials that Sokoto state (0.72) |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/9900 |
Appears in Collections: | Mechatronics Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Coal City 2020.barakt.pdf | 7.19 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.