LAPSE:2023.20749
Published Article

LAPSE:2023.20749
Research of Turbine Tower Optimization Based on Criterion Method
March 20, 2023
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.
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.
Record ID
Keywords
criterion method, offshore wind turbine, section design, tower design, two-level optimization
Subject
Suggested Citation
Li D, Bao H, Zhao N. Research of Turbine Tower Optimization Based on Criterion Method. (2023). LAPSE:2023.20749
Author Affiliations
Li D: College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Bao H: College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Zhao N: College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Bao H: College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Zhao N: College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Journal Name
Energies
Volume
16
Issue
2
First Page
906
Year
2023
Publication Date
2023-01-13
ISSN
1996-1073
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Original Submission
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PII: en16020906, Publication Type: Journal Article
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LAPSE:2023.20749
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https://doi.org/10.3390/en16020906
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Mar 20, 2023
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