Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers

Dragan Pamučar, Ljubomir Gigović, Zoran Bajić and Miljojko Janošević
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Dragan Pamučar: Department of logistic, University of Defence in Belgrade, 11000 Belgrade, Serbia
Ljubomir Gigović: Department of geography, University of Defence in Belgrade, 11000 Belgrade, Serbia
Zoran Bajić: Department of military-chemical engineering, University of Defence in Belgrade, 11000 Belgrade, Serbia
Miljojko Janošević: Department of logistic, University of Defence in Belgrade, 11000 Belgrade, Serbia

Sustainability, 2017, vol. 9, issue 8, 1-23

Abstract: This paper presents spatial mathematical model in order to identify sites for the wind farms installment which can have significant support for the planners in the area of strategy and management of wind power use. The suggested model is based on combined use of Geographical Information Systems (GIS) with multi-criteria techniques of Best-Worst method (BWM) and MultiAttributive Ideal-Real Comparative Analysis (MAIRCA). Rough numbers and fuzzy logic are used to exploit uncertainty during data analysis in spatial mathematical model. The model is applied on the case study. Rough BWM model is used to determine weight coefficients of the criteria and rough MAIRCA method is used to rank separated sustainable locations. The implementation of MAIRCA method has shown that the location L3 is the most suitable for the wind farm in the area covered in the case study. Therefore, the suggested spatial mathematical model can be successfully used to identify the potential suitable sites for the wind farms in other areas with similar geographic conditions.

Keywords: GIS; rough BWM; rough MAIRCA; renewable energy; rough numbers (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

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