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 Knjazevac (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 t...he 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.
Keywords:
Wind park / Annual energy output (AEO) / Wind power output (WPO) / Geographic information systems (GIS) / Multispectral analysis
TY - JOUR
AU - Potić, Ivan
AU - Joksimović, Tatjana
AU - Milinčić, Uroš
AU - Kićović, Dušan
AU - Milinčić, Miroljub
PY - 2021
UR - https://gery.gef.bg.ac.rs/handle/123456789/1076
AB - 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 Knjazevac (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.
PB - Elsevier, Amsterdam
T2 - Energy Strategy Reviews
T1 - Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia)
VL - 33
DO - 10.1016/j.esr.2020.100589
UR - https://hdl.handle.net/21.15107/rcub_gery_1076
ER -
@article{
author = "Potić, Ivan and Joksimović, Tatjana and Milinčić, Uroš and Kićović, Dušan and Milinčić, Miroljub",
year = "2021",
abstract = "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 Knjazevac (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.",
publisher = "Elsevier, Amsterdam",
journal = "Energy Strategy Reviews",
title = "Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia)",
volume = "33",
doi = "10.1016/j.esr.2020.100589",
url = "https://hdl.handle.net/21.15107/rcub_gery_1076"
}
Potić, I., Joksimović, T., Milinčić, U., Kićović, D.,& Milinčić, M.. (2021). Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia). in Energy Strategy Reviews
Elsevier, Amsterdam., 33.
https://doi.org/10.1016/j.esr.2020.100589
https://hdl.handle.net/21.15107/rcub_gery_1076
Potić I, Joksimović T, Milinčić U, Kićović D, Milinčić M. Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia). in Energy Strategy Reviews. 2021;33.
doi:10.1016/j.esr.2020.100589
https://hdl.handle.net/21.15107/rcub_gery_1076 .
Potić, Ivan, Joksimović, Tatjana, Milinčić, Uroš, Kićović, Dušan, Milinčić, Miroljub, "Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia)" in Energy Strategy Reviews, 33 (2021),
https://doi.org/10.1016/j.esr.2020.100589 .,
https://hdl.handle.net/21.15107/rcub_gery_1076 .
