1Department of Electrical and Electronic Engineering, Ambrose Alli University, , Nigeria
2P. M. B. 14, Ekpoma-310006, Nigeria
BibTex Citation Data :
@article{IJRED5645, author = {Michael Okundamiya and Israel Okpamen}, title = {A Linear Regression Model for Global Solar Radiation on Horizontal Surfaces at Warri, Nigeria}, journal = {International Journal of Renewable Energy Development}, volume = {2}, number = {3}, year = {2013}, keywords = {air temperature; empirical model; global solar radiation; regression analysis; renewable energy; Warri}, abstract = { The growing anxiety on the negative effects of fossil fuels on the environment and the global emission reduction targets call for a more extensive use of renewable energy alternatives. Efficient solar energy utilization is an essential solution to the high atmospheric pollution caused by fossil fuel combustion. Global solar radiation (GSR) data, which are useful for the design and evaluation of solar energy conversion system, are not measured at the forty-five meteorological stations in Nigeria. The dearth of the measured solar radiation data calls for accurate estimation. This study proposed a temperature-based linear regression, for predicting the monthly average daily GSR on horizontal surfaces, at Warri (latitude 5.02 0 N and longitude 7.88 0 E) an oil city located in the south-south geopolitical zone, in Nigeria. The proposed model is analyzed based on five statistical indicators (coefficient of correlation, coefficient of determination, mean bias error, root mean square error, and t-statistic), and compared with the existing sunshine-based model for the same study. The results indicate that the proposed temperature-based linear regression model could replace the existing sunshine-based model for generating global solar radiation data. }, pages = {121--126} doi = {10.14710/ijred.2.3.121-126}, url = {https://ejournal.undip.ac.id/index.php/ijred/article/view/5645} }
Refworks Citation Data :
The growing anxiety on the negative effects of fossil fuels on the environment and the global emission reduction targets call for a more extensive use of renewable energy alternatives. Efficient solar energy utilization is an essential solution to the high atmospheric pollution caused by fossil fuel combustion. Global solar radiation (GSR) data, which are useful for the design and evaluation of solar energy conversion system, are not measured at the forty-five meteorological stations in Nigeria. The dearth of the measured solar radiation data calls for accurate estimation. This study proposed a temperature-based linear regression, for predicting the monthly average daily GSR on horizontal surfaces, at Warri (latitude 5.020N and longitude 7.880E) an oil city located in the south-south geopolitical zone, in Nigeria. The proposed model is analyzed based on five statistical indicators (coefficient of correlation, coefficient of determination, mean bias error, root mean square error, and t-statistic), and compared with the existing sunshine-based model for the same study. The results indicate that the proposed temperature-based linear regression model could replace the existing sunshine-based model for generating global solar radiation data.
Article Metrics:
Last update:
Impacts of Ambient Temperature Change on the Breakdown Voltage of a Distribution Transformer
Evaluation of various global solar radiation models for Nigeria
Development of a horizontal three bladed windmill with vortex tubes
Size optimization of a hybrid photovoltaic/fuel cell grid connected power system including hydrogen storage
Empirical models for estimating the global solar radiation of Jubail Industrial City, the Kingdom of Saudi Arabia
Investigation of the spatial variation of sediments heavy metals along the Nun River using kriging interpolation technique
Last update: 2024-11-21 15:16:38
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Articles are freely available to both subscribers and the wider public with permitted reuse.
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options: Creative Commons Attribution-ShareAlike (CC BY-SA). Authors and readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
International Journal of Renewable Energy Development (ISSN:2252-4940) published by CBIORE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.