Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic

被引:0
作者
Drozd, Sofiia [1 ,2 ,3 ]
Kussul, Nataliia [1 ,2 ,3 ]
机构
[1] Natl Tech Univ Ukraine, Inst Phys & Technol, Dept Math Modelling & Data Anal, Igor Sikorsky Kyiv Polytech Inst, Kiev, Ukraine
[2] Natl Acad Sci Ukraine, Dept Space Informat Syst & Technol, State Space Agcy Ukraine, Kiev, Ukraine
[3] State Space Agcy Ukraine, Kiev, Ukraine
关键词
Solar power; land suitability analysis; GIS; remote sensing; multi-criteria analysis; fuzzy logic; PLANT SITE SELECTION; DECISION-ANALYSIS; POWER-PLANTS; LAND-USE; AHP; GENERATION; EFFICIENCY; VIABILITY; LOCATION; PANELS;
D O I
10.1080/22797254.2024.2362390
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The Green Deal strategic plan for the development of renewable energy until 2030 is of particular importance in the context of the restoration of Ukraine's post-war energy infrastructure. One of the key topics is the analysis of the possibilities of installing large solar power plants in Ukraine. In this article, a multi-criteria analysis of the suitability of the territory of Ukraine is carried out on the basis of climatic, topographic and land use criteria. To assess land suitability, criteria standardized using fuzzy logic with weights determined by experts through the method of pairwise comparisons were combined using a weighted sum model. Upon completing the study, a suitability map was generated, depicting zones with varying levels of suitability (ranging from 0 to 1) for solar power plant placement. It was found that more than 35.68% of the country has average values of the suitability index (0.65-0.7), and approximately 18.82% show high indicators (<0.7). Conditions are especially favorable in the south of Ukraine.
引用
收藏
页数:25
相关论文
共 58 条
[1]   Solar PV Power Potential is Greatest Over Croplands [J].
Adeh, Elnaz H. ;
Good, Stephen P. ;
Calaf, M. ;
Higgins, Chad W. .
SCIENTIFIC REPORTS, 2019, 9 (1)
[2]   Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia [J].
Al Garni, Hassan Z. ;
Awasthi, Anjali .
APPLIED ENERGY, 2017, 206 :1225-1240
[3]  
[Anonymous], GLOBAL POWER PLANT D
[4]   The potential of harnessing solar radiation in Iran: Generating solar maps and viability study of PV power plants [J].
Besarati, Saeb M. ;
Padilla, Ricardo Vasquez ;
Goswami, D. Yogi ;
Stefanakos, Elias .
RENEWABLE ENERGY, 2013, 53 :193-199
[5]  
Butenko O, 2019, Системи управління навігації та зв’язку Збірник наукових праць, V1, P17, DOI [10.26906/sunz.2019.1.017, https://doi.org/10.26906/sunz.2019.1.017, DOI 10.26906/SUNZ.2019.1.017]
[6]   Application of boolean logic and GIS for determining suitable locations for Temporary Disaster Waste Management Sites [J].
Cheng, Cheng ;
Thompson, Russell G. .
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2016, 20 :78-92
[7]  
Chitturi SRP, 2018, IEEE INT ENER CONF
[8]   Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey [J].
Colak, H. Ebru ;
Memisoglu, Tugba ;
Gercek, Yasin .
RENEWABLE ENERGY, 2020, 149 :565-576
[9]  
Cooper C. W. P. Z., 2007, Ukraine
[10]   Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients [J].
Deveci, Muhammet ;
Cali, Umit ;
Pamucar, Dragan .
ENERGY REPORTS, 2021, 7 :8805-8824