Browsing by Keyword "Control co-design"
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Item Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate(2024-06) Peña-Sanchez, Yerai; García-Violini, Demián; Penalba, Markel; Zarketa-Astigarraga, Ander; Ferri, Francesco; Nava, Vincenzo; Ringwood, John V.; RENOVABLES OFFSHOREThis paper presents a novel Control Co-Design (CCD) methodology aimed at economically optimising the layout of wave energy converter (WEC) arrays. CCD ensures the synergy of optimised WEC and array parameters with the final control strategy, resulting in a comprehensive and efficient design of the array. By integrating a spectral-based control strategy into the array layout design, this study pursues the twin objectives of maximising energy absorption while reducing costs. To prove the performance of the proposed CCD methodology, an application case is proposed where the inter-device distance, alignment, and mooring configuration of a five-device array, considering realistic wave scenarios, are optimised. Energy capture and system cost evaluations are conducted, with results emphasising the significance of incorporating advanced control strategies in the design phase to improve energy absorption and reduce costs. With the application case, the study demonstrates that the optimal layout of a WEC array considering economic factors may differ from the optimal from purely technical factors, such as energy absorption, in the analysed case.Item Simultaneous design optimisation methodology for floating offshore wind turbine substructure and feedback-based control strategy(2024-09) López-Queija, Javier; Tena, Ander; Jugo, Josu; Aristondo, Ander; Robles, Eider; RENOVABLES OFFSHOREThis research article explores the application of control co-design methodologies for optimising floating offshore wind turbine systems concurrently. The primary objective is to offer insights into concurrent design approaches employing an advanced genetic optimisation algorithm. To achieve this, a reduced-order dynamic model is employed to minimise computational time requirements, complemented by a modified version of the levelized cost of energy equation serving as the cost function. Furthermore, various optimisation scenarios are investigated under diverse wind and wave conditions to assess the advantages and drawbacks of increasing the complexity of dynamic cases used in evaluating the cost function. The optimised system designs are then compared against baseline floating system designs to underscore the advantages of employing this approach to floating wind turbine design.