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Olivia Vitale

Publications and source records attributed to Olivia Vitale.

2 recordsLinked to original sources

Wave energy converters as offshore wind farm guardians: a pathway to resilient ocean systems

Maximizing the durability and reliability of offshore wind farms is essential for the clean energy transition. In this work, we demonstrate how wave energy converter (WEC) farms can shelter offshore wind farms from cyclic wave loading, resulting in significant reductions in turbine fatigue damage. Using experimentally validated hydrodynamic models, we show that WEC arrays can reduce wave-induced fatigue damage on the turbines by up to 25%, potentially lowering required monopile diameters and extending turbine lifetimes. This damage reduction propagates to the levelized cost of energy (LCOE) of the wind farm, targeting cost reductions in nearly 50% of the total system costs. Additionally, WEC farms can benefit from this co-location by sharing siting costs, operation and maintenance teams, and mooring and transmission cables with the offshore wind farm. This work supports resilient, cost-effective offshore renewables for global deployment.

physics.flu-dyn↗

Multi-Objective Multidisciplinary Optimization of Wave Energy Converter Array Layout and Controls

This study utilizes multidisciplinary design optimization (MDO) to design an array of heaving wave energy converters (WECs) for grid-scale energy production with decision variables and parameters chosen from the coupled disciplines of geometry, hydrodynamics, layout, motor-actuated reactive controls (with a force maximum constraint) and economics. We vary a WEC's dimensions, array layout, and control gain to minimize two objectives: the levelized cost of energy (LCOE) and the maximum separation distance. This multi-objective optimization approach results in a set of optimal design configurations that stakeholders can choose from for their specific application and needs. The framework yields a range of optimal (minimum) LCOE values from 0.21 to 0.23 \$/kWh and a separation distance ranging from 97 to 62 meters. The WEC radius of 4m is found to be optimal, and the q-factor for optimal designs are greater than 1 up to 1.06 for a rhombus-like layout. Additionally, a post-optimality global sensitivity analysis of a design shows that wave heading, wave frequency, WEC lifetime, amplitude and interest rate accounts for most of the variance. Different designs in the Pareto set may be appealing for different decision makers based on their trade-off analysis. To that end, regression model is developed for design heuristics.

eess.SY↗