Simulation-based optimization of lattice support structures for offshore wind energy converters with the simultaneous perturbation algorithm

The Science of Making Torque from Wind 2012

Molde, H.^1 ; Zwick, D.^1 ; Muskulus, M.^1

Department of Civil and Transport Engineering, Norwegian University of Science and Technology, Høgskoleringen 7a, Trondheim

7491, Norway^1

关键词: Objective functions;    Offshore wind energy converters;    Optimization algorithms;    Simulation-based optimizations;    Simultaneous perturbation;    Simultaneous perturbation stochastic approximation methods;    Spreadsheet analysis;    Stress concentration factors;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/555/1/012075/pdf
DOI  :  10.1088/1742-6596/555/1/012075

来源: IOP

【 摘 要 】

Support structures for offshore wind turbines are contributing a large part to the total project cost, and a cost saving of a few percent would have considerable impact. At present support structures are designed with simplified methods, e.g., spreadsheet analysis, before more detailed load calculations are performed. Due to the large number of loadcases only a few semimanual design iterations are typically executed. Computer-assisted optimization algorithms could help to further explore design limits and avoid unnecessary conservatism. In this study the simultaneous perturbation stochastic approximation method developed by Spall in the 1990s was assessed with respect to its suitability for support structure optimization. The method depends on a few parameters and an objective function that need to be chosen carefully. In each iteration the structure is evaluated by time-domain analyses, and joint fatigue lifetimes and ultimate strength utilization are computed from stress concentration factors. A pseudo-gradient is determined from only two analysis runs and the design is adjusted in the direction that improves it the most. The algorithm is able to generate considerably improved designs, compared to other methods, in a few hundred iterations, which is demonstrated for the NOWITECH 10 MW reference turbine.