Comparison of multicriteria analysis techniques for decision making on floating offshore wind farms site selection

This work compares two methodologies to assess different selection approaches, the Analytic Hierarchy Process (AHP) and Multiple Attribute Decision Analysis (MADA) using a combined Evidential Reasoning (ER) and AHP approach. This evaluation is done depending on: the number of alternative criteria, agility through the process of decision-making, computational complexity, adequacy in supporting a group decision, and consistency of results. Case studies are presented to analyze the robustness of the methodology evaluation. The criteria used to evaluate and identify the best locations are adapted for each methodology to proceed with the comparison. The results show that each approach is suitable for the problems of wind farm location selection, particularly toward the support of group decision-making and uncertainty modelling. The sites are ranked based on their respective weights for AHP and MADA. In terms of computational complexity, the complete AHP method performs better than the combined MADA and AHP approaches. Nevertheless, the MADA method is less time-consuming and convenient for selecting floating farm locations due to the smaller involvement of experts and corresponding higher agility during decision-making. Both methodologies demonstrate several alternative processes and criteria, adequacy in supporting a group decision, and adaptation in terms of criteria insertion or removal.

Automated summary

This study compares the application of Analytic Hierarchy Process (AHP) and Multiple Attribute Decision Analysis (MADA) in different selection approaches. Through analyzing wind farm location case studies, the research shows that both methods have their own merits, with AHP performing better in terms of computational complexity, while MADA being more flexible and time-saving in the location selection process.