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Numerical Modeling of Multiple Hydrokinetic Turbines

Numerical Modeling of Multiple Hydrokinetic Turbines
多流体动力涡轮机的数值模拟
批准号:
530738-2018
负责人:
Korobenko, Artem
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
这项工作的目的是研究多种水动力河流涡轮机的性能,清洁能源技术**提供了取代柴油发电的机会,特别是在偏远地区。这项工作支持《海洋能源路线图》,以实现海洋技术的市场渗透,并与《气候领导计划》一致,以更清洁的能源取代燃煤发电。当多台涡轮机排成一排时,上游发展的尾迹将显著影响下游涡轮机的性能。涡轮的几何复杂性、相对运动中旋转部件的存在、下游区域复杂的湍流尾迹-结构相互作用,限制了现有的低保真商用数值工具的应用,需要高保真的数值方法。为了提高**系统的性能,解决**这些限制对新能源公司至关重要。利用CFSMgroup开发的高保真稳定和多尺度方法,计算流体动力学(CFD)模拟将对新能源公司设计的多台全尺寸25kw垂直涡轮机进行**,以研究**不同配置和实际流动条件下多台涡轮机周围的流动行为。
英文摘要
This work aims to investigate the performance of multiple hydrokinetic river turbines, clean energy technology**that provides opportunities to displace diesel generation especially in a remote regions. This work supports**Marine Energy Roadmap to achieve market penetration for marine technology and aligns with Climate**Leadership Plan to replace coal-fired electricity generation with cleaner energy sources. When multiple**turbines are arranged in a row the wake developed upstream will significantly affect the performance of the**downstream turbines. The geometric complexity of the turbine, presence of the rotating components in a**relative motion, complex turbulent wake-structure interaction in a downstream region limits the application of**existing low-fidelity commercial numerical tools and requires high-fidelity numerical methods. Addressing**these limitations is of major importance to New Energy Corporation in order to improve the performance of the**system. Using high-fidelity stabilized and multi-scale methods developed by CFSMgroup the computational**fluid dynamics (CFD) simulations will be performed on a multiple full-scale 25-kW vertical turbines designed**by New Energy to investigate the flow behaviour around multiple turbines in different configurations and under**the realistic flow conditions.
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会议论文
Advanced Numerical Framework for Wind Turbines in Atmospheric Boundary Layer Flow
  • 批准号:
    RGPIN-2017-03781
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Korobenko, Artem
  • 依托单位:
Advanced Numerical Framework for Wind Turbines in Atmospheric Boundary Layer Flow
  • 批准号:
    RGPIN-2017-03781
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2021
  • 负责人:
    Korobenko, Artem
  • 依托单位:
Computational Modeling of the COVID-19 Particle Spreading in the Airport Terminals
  • 批准号:
    554499-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $2.62万
  • 财政年份:
    2020
  • 负责人:
    Korobenko, Artem
  • 依托单位:
Advanced Numerical Framework for Wind Turbines in Atmospheric Boundary Layer Flow
  • 批准号:
    RGPIN-2017-03781
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2020
  • 负责人:
    Korobenko, Artem
  • 依托单位:
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位: