Performance evaluation of point-absorber wave energy converters; energy extraction and structural integrity aspects

Offshore aquaculture industries face significant challenges in securing reliable and environmentally friendly energy sources. Among the possible solutions, wave energy converters (WECs) show a promising solution to transfer the technology for creating sustainable operations for remotely accessible fish farms. However, ideally integrating them into the aquaculture floating vessels necessitates a careful and thorough design approach. This paper presents a comprehensive framework for evaluating the performance of the AquaPower platform (APP) concept vessel in supporting offshore fish farm operations. Drawing inspiration from established WEC principles, this concept merges a floating platform with a tensioned mooring lines integrated with power take off systems connected to a moored vessel. The framework addresses crucial aspects, including power generation, structural resilience, and mitigation of mooring fatigue-induced deterioration, which are essential for optimizing the APP’s performance. To enhance evaluation the reliability of the structure, the framework introduces a robust surrogate model based on Bayesian data analysis. This enables the assessment of mooring asset reliability and projected lifespan for real-time monitoring. The practical demonstration of this framework investigated through a case study for designing and evaluating the APP, effectively highlighting its potential as a feasible wave energy solution for the progress of offshore aquaculture towards blue economy technology. This paper’s primary aim is to contribute to affirming the feasibility and viability of the APP concept as an effective and sustainable wave energy remedy for offshore aquaculture. The results of this study can be applied to other contexts, demonstrating the framework’s ability to enhance the dependability of various offshore energy structures, including floating wind turbines, and extend their operational lifespan.