Cost-Optimized Mooring Systems integrating Load Reduction Device for 15 MW FOWT

Resumo

The wind energy sector is shifting towards larger turbines to reduce energy costs, posing challenges for installations in shallow and intermediate waters (60-150 meters) that require smaller platforms and mooring systems. Previous research utilized a multi-objective optimization (MO) framework, employing tools like NSGA2 and OpenFast with MoorDyn, to design systems compatible with synthetic lines. Incorporating load reduction devices (LDRs) in mooring systems offers significant benefits by reducing loads on anchors and mooring lines, allowing for smaller, lighter anchors, and mitigating fatigue damage. LDRs, such as ballasted pendulums, polymer springs, and hydraulic dampers, feature unique non-linear stiffness curves crucial for performance. This study advances the MO framework by assessing a mooring system with spring polymer LDRs and conducting a sensitivity analysis of key design variables using the design of experiments (DOE) approach. It integrates the Pymoo optimization library with industrial software like OrcaFlex and OrcaWave, promoting broader industry adoption. The findings indicate significant reductions in mooring system costs, particularly for smaller mooring radii, and a 22% decrease in computational costs with fewer design variables, enhancing the mooring design process for any floating platform in any water depth.