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Development of computational tools for industrial combustion

Development of computational tools for industrial combustion
工业燃烧计算工具的开发
批准号:
298186-2009
负责人:
Devaud, Cecile
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
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

项目摘要

项目成果

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中文摘要
翻译
预计加拿大将遵循欧洲和美国某些地区的趋势,对运输和发电的空气传播污染物排放实行越来越严格的管制。油价上涨进一步加速了对替代燃料效率和低排放发电系统的探索。虽然可再生能源对运输和发电越来越重要,但在可预见的未来,这些部门将依赖于大规模燃烧。因此,必须开发新型的燃烧装置,使其能够使用不同的燃料(包括混合燃料),保持最佳的操作条件,并最大限度地减少空气中的污染物,如氮氧化物(NOx)和烟尘。重点将是包括详细的化学计算,更准确的建模的毒性燃烧的相互作用。建议调查我们的新的湍流燃烧模型,CMC,在非预混和部分预混燃烧的背景下,准确地再现点火,火焰稳定和污染物,如NOx和烟尘的形成的能力。LES和RANS求解器将进行测试和比较的计算成本和最终预测的准确性。数值结果将使用一组定义良好的实验数据进行评估高压燃烧在激波管和解除和附加射流火焰表现出不同程度的灭绝拟议的研究计划将集中在准确预测点火延迟和位置,温度场,火焰位置为解除火焰,NOx和烟尘浓度。拟议工作的结果将立即使汽车,航空和发电部门的工程师受益,因为它们将允许预测和调查新型燃烧装置中的火焰稳定性和空气污染物排放。
英文摘要
Increasingly stringent regulations on airborne pollutant emissions for transportation and power generation are expected in Canada following the trends in Europe and some parts of the United States. Rising oil prices have further accelerated the search for alternative fuel-efficient and low-emission power generation systems. Although renewable energy sources are becoming increasingly important for both transportation and power generation, these sectors will rely on large-scale combustion for the foreseeable future. Accordingly, novel combustion devices must be developed that can run on different fuels (including blended fuels), maintain optimal operating conditions and minimize airborne pollutants, such as nitrogen oxides (NOx) and soot.A series of numerical investigations will be conducted to predict the behaviour of turbulent flames burning different fuel blends. Emphasis will be on including detailed chemistry in the calculations, and more accurate modeling of turbulence-combustion interactions. It is proposed to investigate the capabilities of our novel turbulent combustion model, CMC, in the context of non-premixed and partially-premixed combustion to accurately reproduce ignition, flame stabilization and formation of pollutants, such as NOx and soot. LES and RANS solvers will be tested and compared with respect to computational cost and the accuracy of the final predictions. The numerical results will be evaluated using a set of well-defined experimental data for high-pressure combustion in a shock tube and lifted and attached jet flames exhibiting various levels of extinction The proposed research program will focus on the accurate prediction of ignition delay and location, temperature field, flame location for lifted flames, NOx and soot concentrations. The results of the proposed work will immediately benefit engineers in the automotive, aero, and power generation sectors, since they will allow the prediction and investigation of flame stability and airborne pollutant emissions in novel combustion devices.
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Turbulent combustion modelling for conditions relevant to industrial applications
  • 批准号:
    RGPIN-2018-03965
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.68万
  • 财政年份:
    2022
  • 负责人:
    Devaud, Cecile
  • 依托单位:
Turbulent combustion modelling for conditions relevant to industrial applications
  • 批准号:
    RGPIN-2018-03965
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2021
  • 负责人:
    Devaud, Cecile
  • 依托单位:
Turbulent combustion modelling for conditions relevant to industrial applications
  • 批准号:
    RGPIN-2018-03965
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2020
  • 负责人:
    Devaud, Cecile
  • 依托单位:
Turbulent combustion modelling for conditions relevant to industrial applications
  • 批准号:
    RGPIN-2018-03965
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2019
  • 负责人:
    Devaud, Cecile
  • 依托单位:
国内基金
海外基金
物体运动对流场扰动的数学模型研究
  • 批准号:
    51072241
  • 项目类别:
    专项基金项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2010
  • 负责人:
    李廷秋
  • 依托单位:
Computational Methods for Analyzing Toponome Data