Optimisation of Self-Supporting Towers for Small Wind Turbines

Author:

Clifton-Smith M. J.12,Wood D. H.13

Affiliation:

1. School of Engineering, The University of Newcastle, NSW 2308, Australia

2. Garrad Hassan Pacific Pty Ltd, Suite 5A, Level 2, OTP House, 10 Bradford Close, Kotara, NSW 2289, Australia

3. Aerogenisis Australia

Abstract

Small wind turbines have the potential to provide a significant amount of useful electricity; particularly in urban areas where it is necessary to use self-supporting monopole towers. Their take-up can be increased by reducing tower costs. The numerical optimisation technique called differential evolution (DE) was used to design a minimal mass self-supporting tower for a 5 kW wind turbine, whilst retaining the required strength and stability. The main problem in the optimisation was the limited availability of appropriate simple equations for buckling analysis of the chosen octagonal geometry as required for design certification to the appropriate international standards. Performing linear buckling analysis (which is unsuitable for global optimisation) on towers designed to meet the available buckling equations showed that the buckling strength was significantly overestimated for low wall thicknesses. A correction factor was formulated and applied to the existing buckling equations to remove this inconsistency. DE was then used to design a tower that was 7% lighter and 20% more resistant to buckling than the current reference design.

Publisher

SAGE Publications

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimized design of a self-supporting monopole tower of a wind turbine;2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2022-03-03

2. Considerations for the structural analysis and design of wind turbine towers: A review;Renewable and Sustainable Energy Reviews;2021-03

3. Small wind turbines: Sustainability criteria related to the local built environment;IOP Conference Series: Earth and Environmental Science;2020-01-01

4. Evolutionary computing methodology for small wind turbine supporting structures;The International Journal of Advanced Manufacturing Technology;2018-10-20

5. Numerical Analysis of Guyed Mast for Small Wind Turbine at Normal Operating Conditions;Proceedings of the 13th International Scientific Conference;2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3