SBIR Phase I: Advanced Nongray Radiation Model Coupled with a Computational Fluid Dynamics (CFD) Code for Large-Scale Fire and Combustion Applications

这项小型企业创新研究(SBIR)第一阶段研究的目的是论证相关k分布方法与控制角离散纵坐标方法(CA-DOM)相结合用于准确、快速地模拟大规模火灾和燃烧系统中的非灰色辐射传输的可行性。在过去的十年里，计算流体动力学(CFD)在燃烧工业中的应用取得了相当大的成功。然而，目前还没有CFD程序包，它可以以所需的精度和计算效率处理燃烧气体中的非灰色辐射。随着燃烧更清洁的趋势，分子气体辐射在确定燃烧室性能，特别是NOx排放方面发挥着重要作用。在这项第一阶段的研究中，将开发一种新的方法来预测燃烧气体中的辐射传输，该方法基于关联k分布方法。相关k分布方法最近得到了很大的成功，并且有可能将计算效率提高几个数量级。这与其他模式相反，其他模式只承诺略有改善。拟议的开发将在商业CFD代码CFD-ACE+的框架内进行。该模型将通过将其预测与实验和分析数据进行比较来进行评估。将特别注意计算效率。拟议中的辐射模型将是此类商业工具中的第一个。它的独特之处在于它能够准确而快速地预测辐射传输。预计它将对燃气轮机、加热炉建设和汽车行业产生重大影响，在这些行业，CFD设计和优化已经成为标准做法。此外，该工具还可以有效地用于大规模火灾的模拟和大气辐射计算。

This Small Business Innovation Research (SBIR) Phase I study is aimed toward demonstrating the feasibility of using the correlated k-distribution approach, in conjunction with the control-angle discrete ordinates method (CA-DOM), for accurate and fast simulation of non-gray radiative transport in large-scale fires and combustion systems. Computational Fluid Dynamics (CFD) has been used in the combustion industry with considerable success during the past decade. Currently, however, there exist no CFD package, which treats non-gray radiation in combustion gases with the desired level of accuracy and computational efficiency. With a trend towards cleaner combustion, radiation from molecular gases is assuming a major role in the determination of combustor performance, and NOx emissions in particular. Under this Phase I study, a novel approach to predict radiative transport in combustion gases, based on the correlated k-distribution approach, will be developed. The correlated k-distribution approach has recently been used with great success, and has the potential of improving computational efficiency by orders of magnitude. This is as opposed to other models, which promise only marginal improvements. The proposed development will be conducted within the framework of the commercial CFD code, CFD-ACE+. The model will be evaluated by comparing its predictions against experimental and analytical data. Special attention will be paid towards computational efficiency. The proposed radiation model will be the first commercial tool of its kind. Its uniqueness lies in its ability to predict radiative transport both accurately and fast. It is expected to have significant impact on the gas turbine, furnace building, and automotive industry, where CFD design and optimization is already standard practice. In addition, the tool could be used effectively for the simulation of large-scale fires and for atmospheric radiation calculations.