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.
Highlights
The development of renewable energy sources (RES), together with measures aimed at more efficient use of energy, are priorities at a national and European level, as both the basis of environmental protection and of energy policy
In order to achieve this level and to encourage use of RES, the Republic of Serbia has adopted a number of bylaws in the field of renewable energy which define the conditions for using renewable energy sources [3], and it has developed a National action plan for the use of sources of renewable energy [4]
Entering Geographical Information Systems (GIS), each of the criteria is presented in the form of spatially defined maps, which represent the attributes of cells which have different ranges or scale value
Summary
The development of renewable energy sources (RES), together with measures aimed at more efficient use of energy, are priorities at a national and European level, as both the basis of environmental protection and of energy policy. In the hybrid GIS-MCDA model, the rough Best-Worst method [41] is implemented to determine criteria weights. Weight coefficients of the criteria are obtained as the output values from the rough Best-Worst method (BWM), which are used in the GIS for obtaining the final map of most suitable locations for wind farms. The second section of the paper presents and describes the phases of the proposed rough GIS-MCDA model. In the third and final section the testing of the rough GIS-MCDA model through empirical study in the region of Vojvodina is presented along with the suggestions for future research in this area
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