Design optimization of the OC3 phase IV floating spar-buoy, based on global limit states. (15th April 2020)

• Record Type: Journal Article
• Authors: Leimeister, Mareike; Kolios, Athanasios; Collu, Maurizio; Thomas, Philipp
• Is Part Of: Ocean engineering. Volume 202(2020)
• Publication Date: 2020-04-15
• Subjects: ALPSO Augmented Lagrangian Particle Swarm Optimization -- COBYLA Constrained Optimization BY Linear Approximation -- DLC Design Load Case -- FOWT Floating Offshore Wind Turbine -- IEC International Electrotechnical Commission -- IWES Institute for Wind Energy Systems -- JONSWAP JOint North Sea WAve Project -- MDAO Multi-disciplinary Design, Analysis, and Optimization -- MOEA Multi-Objective Evolutionary Algorithm -- MoWiT Modelica for Wind Turbines -- NREL National Renewable Energy Laboratory -- NSGAII Non-dominated Sorting Genetic Algorithm II -- NSGAIII Non-dominated Sorting Genetic Algorithm III -- OC3 Offshore Code Comparison Collaboration -- OC4 Offshore Code Comparison Collaboration Continuation -- PyGMO Python parallel Global Multi-objective Optimizer -- Rkfix4 Runge–Kutta fixed-step and 4th order method -- SPEA2 Strength Pareto Evolutionary Algorithm 2 -- SWL Still Water Level -- TI Turbulence Intensity.; Design optimization -- Floating platforms -- Global limit states -- Floating offshore wind turbines -- Spar-buoy; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2020.107186
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: Floating offshore wind turbine (FOWT) systems are a fast-evolving technology, however, still have to gain economic competitiveness to allow commercial market uptake. Design optimization, focusing on cost reduction while ensuring optimum system performance, plays a key role in achieving these goals. Hence, in this work, an approach for optimizing a floating concept, utilizing global limit states, is developed. The optimization is carried out in Python, linked with Modelica and Dymola for modeling and simulation. For the FOWT design, the over-dimensioned OC3 spar-buoy is utilized. This is modified during the optimization regarding its geometrical dimensions and ballasting. The optimization criteria stability, mean and dynamic displacements, and tower top acceleration are used for formulating the objective functions. The optimization is carried out for one design load case, which is most critical for the considered criteria. Based on an initial study, NSGAII is chosen as optimizer. The convergence of the optimization is examined and the optimum design solution selected. In post-processing analyses, the overall performance of the optimized FOWT system is approved. The presented approach shows one example for the design optimization of a FOWT system and should deal as basis for more advanced design optimization tasks, including local characteristics and reliability aspects. Highlights: A design optimization approach is presented and applied to the OC3 spar-buoy FOWT. The focus lies on the global performance and the reduction of the outer dimensions. One critical design load case is determined and used within the optimization. The optimization converges and yields an optimum performing and cheaper system. The approach deals as basis for optimization tasks with advanced and more criteria.