Modeling weights for co-location feasibility in hybrid wind-wave device

Offshore wind and wave energy hold significant potential for meeting Europe’s energy needs, especially in advancing toward a low-GHG economy. However, despite their advantages, both energy sources have limitations, prompting the exploration of combined systems, particularly co-located systems where offshore wind farms and wave energy converters share infrastructure. The Co-Location Feasibility index helps in determining the best sites for these systems based on resource availability. This paper aims to enhance the Co-Location Feasibility index by optimizing the weights assigned to the five terms it uses. To achieve this, the paper focuses on the Analytic Hierarchy Process for assigning weights. It is a decision-making tool that systematically evaluates and prioritizes multiple criteria, ensuring a balanced approach to identifying the most suitable locations for marine energy farms. With this method we will be able to obtain the optimal weights for the index based on their relative importance, resulting in an optimal decision hierarchy. • The Co-Location Feasibility index helps identify optimal locations based on wave and wind data. • Site selection is crucial for co-location success, requiring analysis of multiple factors. • The Analytic Hierarchy Process (AHP) , is used to derive optimal weights of the CLF factors.