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GIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, India

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dc.citedby10
dc.contributor.authorRane N.L.en_US
dc.contributor.authorG�nen M.A.en_US
dc.contributor.authorMallick S.K.en_US
dc.contributor.authorRane J.en_US
dc.contributor.authorPande C.B.en_US
dc.contributor.authorGiduturi M.en_US
dc.contributor.authorBhutto J.K.en_US
dc.contributor.authorYadav K.K.en_US
dc.contributor.authorTolche A.D.en_US
dc.contributor.authorAlreshidi M.A.en_US
dc.contributor.authorid57219453239en_US
dc.contributor.authorid57190371587en_US
dc.contributor.authorid57219839603en_US
dc.contributor.authorid58316635400en_US
dc.contributor.authorid57193547008en_US
dc.contributor.authorid58667878700en_US
dc.contributor.authorid57200144286en_US
dc.contributor.authorid57202908705en_US
dc.contributor.authorid57198446685en_US
dc.contributor.authorid58677108000en_US
dc.date.accessioned2025-03-03T07:41:44Z
dc.date.available2025-03-03T07:41:44Z
dc.date.issued2024
dc.description.abstractThe significant natural energy sources for reducing the global usage of fossil fuels are renewable energy (RE) sources. Solar energy is a crucial and reliable RE source. Site selection for solar photovoltaic (PV) farms is a crucial issue in terms of spatial planning and RE policies. This study adopts a Geographic Information System (GIS)-based Multi-Influencing Factor (MIF) technique to enhance the precision of identifying and delineating optimal locations for solar PV farms. The choice of GIS and MIF is motivated by their ability to integrate diverse influencing factors, facilitating a holistic analysis of spatial data. The selected influencing factors include solar radiation, wind speed, Land Surface Temperature (LST), relative humidity, vegetation, elevation, land use, Euclidean distance from roads, and aspect. The optimal sites of solar PV power plant delineated revealed that ?very low? suitability of site covering 4.866% of the study area, ?low? suitability of site 13.190%, ?moderate? suitability of site 31.640%, ?good? suitability of site 32.347%, and ?very good? suitability of site for solar PV power plant encompassing 17.957% of the study area. The sensitivity analysis results show that the solar radiation, relative humidity, and elevation are the most effective on the accuracy of the prediction. The validation of the results shows the accuracy of solar PV power plant prediction using MIF technique in the study area was 81.80%. The integration of GIS and MIF not only enhances the accuracy of site suitability assessment but also provides a practical implementation strategy. This research offers valuable insights for renewable energy policymakers, urban planners, and other stakeholders seeking to identify and develop optimal locations for solar energy power farms in their respective regions. ? 2024, The Author(s).en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5
dc.identifier.doi10.1186/s12302-023-00832-2
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85181521962
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85181521962&doi=10.1186%2fs12302-023-00832-2&partnerID=40&md5=bb80bc64d6a7d3a29fb34b021beb3873
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36264
dc.identifier.volume36
dc.publisherSpringeren_US
dc.sourceScopus
dc.sourcetitleEnvironmental Sciences Europe
dc.subjectIndia
dc.subjectMaharashtra
dc.subjectNashik
dc.subjectDecision making
dc.subjectFossil fuels
dc.subjectGeographic information systems
dc.subjectLand use
dc.subjectSensitivity analysis
dc.subjectSolar concentrators
dc.subjectSolar energy
dc.subjectSolar power generation
dc.subjectSolar power plants
dc.subjectSolar radiation
dc.subjectWind
dc.subjectMulti criteria decision-making
dc.subjectMulti-criteria decision-making
dc.subjectMulti-influence factor
dc.subjectMulticriteria decision-making
dc.subjectMulticriterion decision makings
dc.subjectOptimal site
dc.subjectRenewable energies
dc.subjectRenewable energy source
dc.subjectSolar photovoltaic power plants
dc.subjectStudy areas
dc.subjectalternative energy
dc.subjectfossil fuel
dc.subjectGIS
dc.subjectpower plant
dc.subjectsensitivity analysis
dc.subjectsite selection
dc.subjectspatial planning
dc.subjectSite selection
dc.titleGIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, Indiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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