Application of Monte Carlo and Fuzzy Analytic Hierarchy Processes for ranking floating wind farm locations

Abstract

A Monte Carlo simulation procedure is developed to select the optimum location of wind farms by using major decision criteria and applying subjective judgments from decision-makers. The approach combines Monte Carlo simulation with conventional Analytic Hierarchy Process and with the Fuzzy Analytic Hierarchy Process. Monte Carlo simulation is used to determine the confidence level of each alternative determined by the Analytic Hierarchy Process concerning the uncertainty of decision-maker opinions. The proposed method is applied to offshore wind farms located in Spain, and the most appropriate locations for turbine positioning are ranked.