Wind energy potential for the electricity production - Knjaževac Municipality case study (Serbia)
Geospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency of accurate data in remote and large areas (macro to medium locations). There are different methodologies available to identify the most suitable location for the installation of wind power gen...
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doaj-e2d1fe278754487ca243beb459d488d22021-01-18T04:10:22ZengElsevierEnergy Strategy Reviews2211-467X2021-01-0133100589Wind energy potential for the electricity production - Knjaževac Municipality case study (Serbia)Ivan Potić0Tatjana Joksimović1Uroš Milinčić2Dušan Kićović3Miroljub Milinčić4Republic Geodetic Authority, Bulevar vojvode Mišića 39, 11000 Belgrade, Serbia; Corresponding author.The University of Belgrade – Faculty of Geography, Studentski Trg 3/III, 11000 Belgrade, SerbiaThe University of Belgrade – Faculty of Geography, Studentski Trg 3/III, 11000 Belgrade, SerbiaMinistry of Education, Science, and Technological Development, Zahumska 14, 11000 Belgrade, SerbiaThe University of Belgrade – Faculty of Geography, Studentski Trg 3/III, 11000 Belgrade, SerbiaGeospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency of accurate data in remote and large areas (macro to medium locations). There are different methodologies available to identify the most suitable location for the installation of wind power generators. One of the most suitable approaches that employ the Multi-Criteria Analysis method for wind energy potential of the Municipality of Knjaževac (East Serbia) is combining the Analytic Hierarchy Process (AHP) and Geographic Information Systems. Collection and creation of geospatial data for the research encompassed meteorological data from all available sources, digital elevation model (DEM) to analyze the orography of the terrain, and Landsat 8 satellite data to analyze six land cover (LC) classes. The identification of three best locations for the wind power generators (wind farms) using Multi-Criteria Decision Making (MCDM) analysis solved the major location problem: how to select the best locations for investment in the renewable energy sector and minimize the impact on the environment. The result indicates that only one part of the municipality, at the hub height of 100 m, has enough wind potential to produce energy.http://www.sciencedirect.com/science/article/pii/S2211467X20301425Wind parkAnnual energy output (AEO)Wind power output (WPO)Geographic information systems (GIS)Multispectral analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ivan Potić Tatjana Joksimović Uroš Milinčić Dušan Kićović Miroljub Milinčić |
spellingShingle |
Ivan Potić Tatjana Joksimović Uroš Milinčić Dušan Kićović Miroljub Milinčić Wind energy potential for the electricity production - Knjaževac Municipality case study (Serbia) Energy Strategy Reviews Wind park Annual energy output (AEO) Wind power output (WPO) Geographic information systems (GIS) Multispectral analysis |
author_facet |
Ivan Potić Tatjana Joksimović Uroš Milinčić Dušan Kićović Miroljub Milinčić |
author_sort |
Ivan Potić |
title |
Wind energy potential for the electricity production - Knjaževac Municipality case study (Serbia) |
title_short |
Wind energy potential for the electricity production - Knjaževac Municipality case study (Serbia) |
title_full |
Wind energy potential for the electricity production - Knjaževac Municipality case study (Serbia) |
title_fullStr |
Wind energy potential for the electricity production - Knjaževac Municipality case study (Serbia) |
title_full_unstemmed |
Wind energy potential for the electricity production - Knjaževac Municipality case study (Serbia) |
title_sort |
wind energy potential for the electricity production - knjaževac municipality case study (serbia) |
publisher |
Elsevier |
series |
Energy Strategy Reviews |
issn |
2211-467X |
publishDate |
2021-01-01 |
description |
Geospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency of accurate data in remote and large areas (macro to medium locations). There are different methodologies available to identify the most suitable location for the installation of wind power generators. One of the most suitable approaches that employ the Multi-Criteria Analysis method for wind energy potential of the Municipality of Knjaževac (East Serbia) is combining the Analytic Hierarchy Process (AHP) and Geographic Information Systems. Collection and creation of geospatial data for the research encompassed meteorological data from all available sources, digital elevation model (DEM) to analyze the orography of the terrain, and Landsat 8 satellite data to analyze six land cover (LC) classes. The identification of three best locations for the wind power generators (wind farms) using Multi-Criteria Decision Making (MCDM) analysis solved the major location problem: how to select the best locations for investment in the renewable energy sector and minimize the impact on the environment. The result indicates that only one part of the municipality, at the hub height of 100 m, has enough wind potential to produce energy. |
topic |
Wind park Annual energy output (AEO) Wind power output (WPO) Geographic information systems (GIS) Multispectral analysis |
url |
http://www.sciencedirect.com/science/article/pii/S2211467X20301425 |
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