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Overseas Travel Grant: Numerical Simulation and Modelling of Turbulent Premixed Flames with Detailed Chemistry

海外旅行补助金：具有详细化学特性的湍流预混火焰的数值模拟和建模

基本信息

批准号：
EP/R012725/1
负责人：
Andrew Aspden
金额：
$ 1万
依托单位：
Newcastle University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FR012725%2F1
关键词：
Overseas Travel Grant Numerical Simulation

项目摘要

Currently, about 85\% of the world's primary energy is generated from burning coal, oil or gas; it will be decades before combustion is replaced as the main source of power generation and transport, and even longer for aircraft. The associated emissions are contributing to global climate change and to poor air quality in urban centres, and are therefore subject to increasingly stringent regulations through legislation. Alternative fuels, in particular biofuels, have the potential for net reduction in carbon emissions, but bring alternative challenges. These issues are coupled with a dependence on foreign fuel imports, exposing vulnerabilities to energy prices and security. Consequently, there is a critical need for efficient low-emission combustors for power generation and transport that are capable of burning conventional and/or alternative fuels.This OTG proposal requests funds to visit three institutions in the US to develop four collaborations, one of which is well-established and three will be new. Two of the collaborations are based around computational software technology (Day/Bell at Lawrence Berkeley Lab, and Menon at Georgia Tech), and the other two are based around experimental datasets that can be used for comparison with numerical simulation (Driscoll at Michigan, and Lieuwen at Georgia Tech).All four collaborations will result in an exchange of ideas, and contribute to the understanding of turbulent premixed flames that can be used for development and validation of turbulent-flame modelling approaches for applications in efficient low-emission combustion devices for power generation and transport.The first collaboration involves a new software capability that has been designed to reduce uncertainty in models derived from experimental datasets. The idea is to use parallel computing to test models with different parameters and automatically hone in on the optimal choice. This novel approach will be applied to a engineering model that can be used to understand the chemical composition of turbulent flames to improve the prediction of emission formation.The second collaboration involves an experimental dataset of a laboratory burner capable of investigating premixed flames exposed to extreme levels of turbulence. This will allow for direct comparison of experimental and computation data, which will be used to improve turbulent-flame models for engineering applications.The third collaboration involves a piece of software that takes a well-established modelling approach, which is being proposed to be applied to highly-turbulent flames for comparison with the modelling approach from the first two collaborations. This second software capability can also be coupled with the software from the first collaboration, and then used to explore another particular approach to bridge the gap between length scales that are achievable through simulation with realistic length scales in experiments and industrial applications.The fourth collaboration involves another laboratory experiment designed to recreate the conditions to explore flame instabilities that can severely damage industrial burners. Again, this collaboration will provide direct access to experimental data that can be used for comparison with numerical simulation.

目前，世界上约85%的一次能源是由燃烧煤、石油或天然气产生的;要取代燃烧作为发电和运输的主要来源还需要几十年，对于飞机来说甚至更长。相关的排放正在加剧全球气候变化和城市中心的空气质量差，因此通过立法受到越来越严格的管制。替代燃料，特别是生物燃料，具有净减少碳排放的潜力，但也带来了替代挑战。这些问题再加上对外国燃料进口的依赖，暴露了能源价格和安全的脆弱性。因此，迫切需要能够燃烧传统和/或替代燃料的高效低排放燃烧器用于发电和运输。OTG的提案要求资金访问美国的三个机构，以开发四个合作项目，其中一个是成熟的，三个是新的。其中两项合作是基于计算软件技术（劳伦斯伯克利实验室的Day/Bell和格鲁吉亚理工学院的Menon），另外两个基于实验数据集，可用于与数值模拟进行比较（密歇根大学的Drivel和格鲁吉亚理工大学的Lieuwen）。所有四项合作都将导致思想的交流，并有助于理解湍流预混火焰，可用于开发和验证应用于高效低，第一项合作涉及一种新的软件能力，旨在减少从实验数据集得出的模型的不确定性。其想法是使用并行计算来测试具有不同参数的模型，并自动磨练最佳选择。这种新的方法将被应用到一个工程模型，可用于了解湍流火焰的化学成分，以提高预测的排放formation.The第二次合作涉及一个实验室燃烧器的实验数据集能够调查预混火焰暴露在极端水平的湍流。这将允许直接比较的实验和计算数据，这将被用来改善工程应用的湍流火焰模型。第三次合作涉及一个软件，它采取了一个完善的建模方法，这是被提议应用于高度湍流火焰的比较与建模方法从前两个合作。第二种软件功能也可以与第一次合作的软件相结合，然后用于探索另一种特殊的方法来弥合长度尺度之间的差距，这些长度尺度可以通过在实验和工业应用中使用真实长度尺度进行模拟来实现。第四次合作涉及另一个实验室实验，该实验室实验旨在重新创建条件，以探索可能严重损坏工业燃烧器的火焰不稳定性。同样，这种合作将提供直接访问实验数据，可用于与数值模拟进行比较。