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Bayesian optimization for multi-screw archimedes turbine design

Bayesian optimization for multi-screw archimedes turbine design
多螺杆阿基米德涡轮机设计的贝叶斯优化
批准号:
513377-2017
负责人:
Taylor, Graham
金额:
$1.78万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
位于安大略省德里的Bluestreak设备公司正在开发阿基米德螺旋水力发电机(ASGs),该发电机可用于安大略省水道沿线数千个低水头(1-10米)的站点。在过去的十年中,欧洲已经安装了数百个自动传感器,还有更多正在开发中。asg在商业上与其他水轮机具有竞争力,对环境的影响非常小,包括对鱼类的影响。在过去的六年里,Bluestreak研发了他们的阿基米德螺旋发电机技术,并成功安装了北美第一个并网的阿基米德螺旋水力发电厂。他们目前正在商业化他们的ASG系统,并有几个在不同的规划阶段。Bluestreak和David Lubitz教授(圭尔夫大学)开发并验证了一种精细的工程模型,该模型可以可靠地预测特定阿基米德螺杆系统的功率输出。该模型可用于迭代优化特定站点的单个阿基米德螺旋发电机的IRR,并且是Bluestreak在微水力领域的业务优势的关键部分。圭尔夫大学的Graham Taylor研究团队通过Engage和Engage Plus项目与Bluestreak合作,通过基于贝叶斯优化的解决方案,取代了手动调整参数的繁琐工作,从而找到了最佳的现场特定配置。Bluestreak已经开始考虑在每个站点安装多个螺钉。因此,这个为期2年的CRD旨在将当前的框架扩展到多个阿基米德螺杆式涡轮机(ast)同时优化的实际情况。我们还将改进性能模型和优化器(与单螺杆和多螺杆相关)。该项目旨在使Bluestreak的系统更具竞争力,同时推进最先进的全球工程设计优化。
英文摘要
Bluestreak Equipment, of Delhi, Ontario, is developing Archimedes screw hydro generators (ASGs) that could be utilized at thousands of low head (1-10m) sites along waterways just in Ontario. Several hundred ASGs have been installed in Europe in the past decade, with more in development. ASGs are commercially competitive with other hydro turbines, with very low environmental impacts, including on fish. In the past six years, Bluestreak researched and developed their Archimedes screw generator technology, and successfully installed the first grid-connected Archimedes screw hydro plant in North America. They currently are commercializing their ASG system and have several more in various stages of planning. Bluestreak and Prof. David Lubitz (University of Guelph) have developed and validated a refined engineering model that can reliably predict the power output of a specified Archimedes screw system. The model can be used iteratively to optimize the IRR of a single Archimedes screw generator for a specific site, and is a key part of Bluestreak's business advantage in the microhydro field.Dr. Graham Taylor's research team at the University of Guelph collaborated with Bluestreak through Engage and Engage Plus projects to replace the laborious laborious manual tuning of parameters to find an optimal site-specific configuration with a Bayesian Optimization-based solution. Bluestreak has since moved to consider multiple screws installed per site. Therefore, this 2 year CRD aims to extend the current framework to the practical case where multiple Archimedes screw turbines (ASTs) are optimized simultaneously. We will also develop improvements to the performance model and optimizers (relevant to both single- and multi-screw). The project aims to make Bluestreak's system more competitive while advancing the state-of-the-art in global optimization for engineering design.
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Machine Learning Systems
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  • 项目类别:
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  • 财政年份:
    2022
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  • 依托单位:
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  • 依托单位:
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  • 项目类别:
    Canada Research Chairs
  • 资助金额:
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国内基金
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