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 .

TY  - JOUR
AU  - Potić, Ivan
AU  - Golić, Rajko
AU  - Joksimović, Tatjana
PY  - 2016
UR  - https://gery.gef.bg.ac.rs/handle/123456789/775
AB  - The subject of this paper is to identify the most suitable location for the installation of solar panel power plant in the Municipality of Knjaevac (East Serbia). Digital elevation model (DEM) of the area of interest was constructed using Geomedia Pro Grid module. The potential insolation of municipality was determined using the obtained DEM for the summer and winter solstice which represents longest and shortest day in a year (June 21st and December 21st, 2015), which allowed calculating the mean annual potential insolation. Six classes of land use were identified using multispectral analysis of Landsat 8 satellite images. Three best locations for the solar panel installation were identified by multi-criteria AHP analysis using mean potential insolation, mean cloudiness for corresponding months, mean temperature, grade and aspect, land use classes and simplicity of availability of the locations. The obtained data indicate that the use of solar radiation in KnjaMvac municipality is economically feasible as a supplementary source of energy.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Renewable & Sustainable Energy Reviews
T1  - Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach
VL  - 56
SP  - 235
EP  - 245
DO  - 10.1016/j.rser.2015.11.056
UR  - https://hdl.handle.net/21.15107/rcub_gery_775
ER  - 

@article{
author = "Potić, Ivan and Golić, Rajko and Joksimović, Tatjana",
year = "2016",
abstract = "The subject of this paper is to identify the most suitable location for the installation of solar panel power plant in the Municipality of Knjaevac (East Serbia). Digital elevation model (DEM) of the area of interest was constructed using Geomedia Pro Grid module. The potential insolation of municipality was determined using the obtained DEM for the summer and winter solstice which represents longest and shortest day in a year (June 21st and December 21st, 2015), which allowed calculating the mean annual potential insolation. Six classes of land use were identified using multispectral analysis of Landsat 8 satellite images. Three best locations for the solar panel installation were identified by multi-criteria AHP analysis using mean potential insolation, mean cloudiness for corresponding months, mean temperature, grade and aspect, land use classes and simplicity of availability of the locations. The obtained data indicate that the use of solar radiation in KnjaMvac municipality is economically feasible as a supplementary source of energy.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Renewable & Sustainable Energy Reviews",
title = "Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach",
volume = "56",
pages = "235-245",
doi = "10.1016/j.rser.2015.11.056",
url = "https://hdl.handle.net/21.15107/rcub_gery_775"
}

Potić, I., Golić, R.,& Joksimović, T.. (2016). Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach. in Renewable & Sustainable Energy Reviews
Pergamon-Elsevier Science Ltd, Oxford., 56, 235-245.
https://doi.org/10.1016/j.rser.2015.11.056
https://hdl.handle.net/21.15107/rcub_gery_775

Potić I, Golić R, Joksimović T. Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach. in Renewable & Sustainable Energy Reviews. 2016;56:235-245.
doi:10.1016/j.rser.2015.11.056
https://hdl.handle.net/21.15107/rcub_gery_775 .

Potić, Ivan, Golić, Rajko, Joksimović, Tatjana, "Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach" in Renewable & Sustainable Energy Reviews, 56 (2016):235-245,
https://doi.org/10.1016/j.rser.2015.11.056 .,
https://hdl.handle.net/21.15107/rcub_gery_775 .