巴西陆上低速风力涡轮机的开发:初步和概念设计

IF 3.2 Q3 ENERGY & FUELS
James Rojas Waterhouse;Cristhian R. Morante Villarreal;Guilherme Beppu de Souza;Fernando Vilas Boas Ribeiro;Carlos Henrique Gasparetti;Kauan Pires Quevedo;Josiel Gonçalves Dos Santos;George Camargo Dos Santos;Marlos José Ribeiro Guimarães
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引用次数: 0

摘要

本文介绍了一种针对风力资源薄弱地区进行优化的低速风力涡轮机的综合设计研究,特别关注巴西广阔的领土。该研究通过采用创新策略来提高气动性能、结构完整性和成本效率,挑战了传统的涡轮设计。综合计算工具与优化算法相结合,创建了一个创新的多学科优化框架。根据能源输出、负荷缓解和经济可行性对多种配置进行了评估,从而确定了有前途的设计,有效地平衡了性能目标和实际限制。该研究强调了结构化多学科设计优化(MDO)方法如何在初步和概念设计阶段应用,使配置的开发能够很好地适应低风速环境。这些研究结果使输出配置达到6.45 m/s的额定风速,此外,它们还为未来的低风速应用研究和现场验证提供了可扩展的框架。因此,成功地实现了使用自定义多学科优化模型开发可行的风力机原型的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Low-Speed Wind Turbine for Brazilian Onshore Areas: A Preliminary and Conceptual Design
This article presents a comprehensive design study of a low-speed wind turbine optimized for regions with weak wind resources, with a particular focus on Brazil’s extensive territories. The research challenges conventional turbine designs by incorporating innovative strategies to enhance aerodynamic performance, structural integrity, and cost efficiency. Consolidated computational tools were integrated with optimization algorithms, creating an innovative multidisciplinary optimization framework. Multiple configurations were assessed based on energy output, load mitigation, and economic viability, leading to the identification of promising designs that effectively balance performance targets with practical constraints. The study highlights how a structured multidisciplinary design optimization (MDO) approach, applied during the preliminary and conceptual design phases, enables the development of configurations well-adapted to low-wind-speed environments. These findings result into the output configuration achieving a rated wind speed of 6.45 m/s, and moreover they offer a scalable framework for future research and field validation in low-wind-speed applications. Therefore, the objective of developing a viable wind turbine prototype using custom multidisciplinary optimization models was successfully achieved.
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来源期刊
CiteScore
7.80
自引率
5.30%
发文量
45
审稿时长
10 weeks
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