Development of advanced global topology optimization methods and investigation of topologies of vertical axis wind turbines

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K04138
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 18030:Design engineering-related
• Research Institution: Nagaoka University of Technology
• Principal Investigator: Yamazaki Wataru 長岡技術科学大学, 工学研究科, 准教授 (50598696)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 最適設計 / 応答曲面法 / 次元削減 / 機械学習 / 垂直軸型風車

Outline of Final Research Achievements

In this research subject, efficient global optimization methods for high-dimensional design variables space were proposed by utilizing dimension reduction technologies and/or machine learning technologies. The effectiveness of the proposed methods has been demonstrated in this research. The aerodynamic design problems of vertical axis wind turbines were investigated, and then optimal designs of its wingtip plate and of its blade wing were obtained. From the optimization results, useful design knowledge for improving the performance of vertical axis wind turbines could be extracted.

Free Research Field

流体力学、設計工学

Academic Significance and Societal Importance of the Research Achievements

本研究成果の意義として、大規模次元の最適設計問題を効率的に解くための手法を提案できたため、複雑な形状・形態の設計を短期間で効率的に実施する事が可能になったと言える。また、垂直軸型風車の最適設計を実施し、その性能向上に対する重要な設計因子を検討・考察することができたため、より発電効率の高い垂直軸型風車の設計指針を明らかにする事ができた。