Research of Turbine Tower Optimization Based on Criterion Method

Dan Li, Hongbing Bao and Ning Zhao ()
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Dan Li: College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Hongbing Bao: College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Ning Zhao: College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Energies, 2023, vol. 16, issue 2, 1-17

Abstract: Tower cost makes up an important part in the whole wind turbine construction especially for offshore wind farms. The main method to reduce tower cost is to reduce tower weight by optimum design. This paper proposes a two-level optimization criterion method for the optimal design of steel conical tower considering different structural reliability and uncertainty, along with the discreteness of design variables such as tower thickness and bolt type. In the first level, the tower shell geometry can be obtained by section design method; in the second level, bolted connections and flanges are designed based on the results of the first level. Then, summarized analysis and iterative calculation is performed to obtain optimum tower design with constant strength and rigidness. This method will play an important role in offshore customized turbine design.

Keywords: offshore wind turbine; tower design; two-level optimization; criterion method; section design (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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