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

本小企业创新研究（SBIR）第一阶段研究的目的是证明使用相关k分布方法的可行性，结合控制角离散坐标法（CA-DOM），在大规模火灾和燃烧系统的非灰色辐射传输的准确和快速模拟。 计算流体动力学（CFD）在过去十年中已在燃烧工业中取得了相当大的成功。 然而，目前还不存在CFD软件包，其以期望的精度和计算效率水平来处理燃烧气体中的非灰辐射。 随着清洁燃烧的发展趋势，来自分子气体的辐射在确定燃烧室性能，特别是NOx排放方面起着重要作用。 在第一阶段研究中，将开发一种基于相关k分布方法的预测燃烧气体中辐射传输的新方法。 相关k分布方法最近已被使用，取得了巨大的成功，并有可能提高计算效率的数量级。 这与其他模型相反，这些模型只承诺边际改进。 拟议的开发将在商业CFD代码CFD-ACE+的框架内进行。 将通过将其预测与实验和分析数据进行比较来评估该模型。 将特别注意计算效率。 拟议中的辐射模型将是同类产品中的第一个商业工具。它的独特之处在于它能够准确和快速地预测辐射传输。 预计它将对燃气涡轮机、熔炉建造和汽车行业产生重大影响，在这些行业，CFD设计和优化已经是标准实践。 此外，该工具可有效地用于模拟大规模火灾和计算大气辐射。

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.