<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>International Journal of Energy and Environmental Engineering</JournalTitle>
<Issn>2251-6832</Issn>
<Volume>14</Volume>
<Issue>4 (December 2023)</Issue>
<PubDate PubStatus="epublish">
<Year>2022</Year>
<Month>10</Month>
<Day>01</Day>
</PubDate>
</Journal>
<ArticleTitle>Conversion of solar irradiance determined by satellite images to electrical energy using photovoltaic technology (a case study of northeastern state (NES) of Nigeria)</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.1007/s40095-022-00543-z</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Mohammed K.</FirstName>
<LastName>Salihu</LastName>
<Affiliation>Department of Physics, University of Maiduguri,, Maiduguri, NG</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Ali</FirstName>
<LastName>Danladi</LastName>
<Affiliation>Department of Pure and Applied Physic, Adamawa State University, Mubi, NG</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>D. W.</FirstName>
<LastName>Medugu</LastName>
<Affiliation>Department of Pure and Applied Physic, Adamawa State University, Mubi, NG</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2022</Year>
<Month>10</Month>
<Day>01</Day>
</PubDate>
</History>
<Abstract>Abstract
This study determined solar irradiance by satellite images and converted it into electrical power using different type’s photovoltaic technology. The process was done using the Aeronautical reconnaissance coverage geographical information system (ArcGIS). The mean annual global solar irradiance were calculated for the entire NES, while ArcGIS weighting overlay was used to determine the suitability area for the conversion. According to the study, Yobe received the higher global solar irradiance with an annual mean value of 2264.69 kWh/m
2
/year, followed by Borno 2244.94 Kwh/m
2
/year, Bauchi 2208.52 Kwh/m
2
/year, Gombe 2167.03 Kwh/m
2
/year Adamawa 2154.93 Kwh/m
2
/year, while Taraba has the least amount of global solar irradiance of 2017.96 kWh/m
2
/year. The suitable areas for Adamawa, Bauchi, Borno, Gombe, Taraba, and Yobe are as follows: 12,042.2, 17,069.1, 39,426.3, and 6755.99 Km
2
, 4924.82, and 23,215.5 Km
2
, respectively. And the electrical energy determined for different types of photovoltaic technology, i.e., Single-crystalline-silicon, Multi-crystalline-silicon, Amorphous-Silicon and Cadmium-Telluride for Adamawa, 194.3 MW, 179.8, 77.73 MW and 140.7 MW, Bauchi 306.4, 283.4, 122.6 and 222.1 MW Borno1101, 1019, 440.5 and 798.5 MW Gombe, 132.2, 122.3, 52.90 and 95.87 MW, Taraba 19.06, 17.63, 7.623 and 13.83 MW, Yobe 623.0, 576.3, 294.2 and 451.7 MW, respectively. It has been concluded that northeast states are blessed with abundant solar irradiance, which is suitable for installing a photovoltaic station, and single crystalline silicon is the best photovoltaic technology.</Abstract>
<ObjectList>
<Object Type="keyword">
<Param Name="value">Satellite image</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Electrical energy</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Solar irradiance</Param>
</Object>
<Object Type="keyword">
<Param Name="value">And photovoltaic</Param>
</Object>
</ObjectList>
</Article>
</ArticleSet>