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Grid Adaptive LES/DNS

网格自适应 LES/DNS

基本信息

批准号：
EP/E018157/1
负责人：
Karl Jenkins
金额：
$ 13.25万
依托单位：
CRANFIELD UNIVERSITY
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2007
资助国家：
英国
起止时间：
2007 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FE018157%2F1
关键词：
Grid Adaptive LES DNS

项目摘要

Combustion is currently the most widely used method of energy conversion that powers modern industry and society. This energy is provided from the combustion of fossil fuels that are a global finite resource which is diminishing on a daily basis. Emissions from the combustion of fossil fuels can also lead to environmental problems such as global warming. In order to convert energy more efficiently and less harmfully to the environment, it is desirable to gain a thorough understanding of the combustion process. The development of real combustion applications generally requires a series of experiments to test a design or theory. With the rapid growth in computing resources and numerical techniques, computer simulation testing can also be used in the design process at a fraction of the cost compared with an equivalent experiment. In addition, computer simulations can provide a wider range of information on a proposed design in a shorter time frame by sweeping through different configurations simultaneously. Current methods such as Reynolds Averaged Navier Stokes (RANS), where the time fluctuating flow equations are solved in an average form, and Large Eddy Simulations (LES), where only the smaller scales of motion are modelled are being used to simulate industrial problems. However, both of these methods require models to provide additional information that is lost due to there limitations. The proposed work will take these computational simulations to the next level by developing a hybrid method that combines LES and Direct Numerical Simulation (DNS), where all scales of motion are computed explicitly without recourse to any modelling. To the investigators knowledge, this will be the first attempt to combine LES and DNS to simulate combustion, and then compare to a much more costly full DNS. The results from this work are expected to give a better understanding of large scale turbulent combustion problems without a loss in accuracy. Finally, this method could form the basis for a robust and accurate simulation method that combustion designers can use to explore new configurations with confidence to provide the next generation of energy cheaper, safer and more environmentally friendly.

燃烧是目前使用最广泛的能源转换方法，为现代工业和社会提供动力。这种能源是通过燃烧化石燃料提供的，化石燃料是一种全球有限资源，每天都在减少。化石燃料燃烧排放的废气也可能导致全球变暖等环境问题。为了更有效地转换能源，减少对环境的危害，需要对燃烧过程有一个透彻的了解。实际燃烧应用的开发通常需要一系列实验来测试设计或理论。随着计算资源和数值技术的快速增长，计算机模拟测试也可以在设计过程中使用，与同等实验相比，成本只有很小的一部分。此外，通过同时扫描不同的配置，计算机模拟可以在更短的时间内提供关于拟议设计的更广泛的信息。目前的方法，如雷诺平均纳维斯托克斯(RANS)，其中时间脉动流动方程以平均形式求解，以及大涡模拟(LES)，其中只对较小尺度的运动进行建模，被用于模拟工业问题。然而，这两种方法都需要模型来提供由于这些限制而丢失的附加信息。这项拟议的工作将把这些计算模拟提高到一个新的水平，开发一种结合大涡模拟和直接数值模拟(DNS)的混合方法，其中所有运动尺度都是显式计算的，而不需要任何建模。据调查人员所知，这将是首次尝试将大气压和域名系统结合起来模拟燃烧，然后与成本更高的全域名系统进行比较。这项工作的结果有望在不损失精度的情况下更好地理解大尺度湍流燃烧问题。最后，这种方法可以为一种稳健和准确的模拟方法奠定基础，燃烧设计者可以使用该方法来自信地探索新的配置，以提供更便宜、更安全和更环保的下一代能源。