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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
