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

SBIR 第一阶段：先进的非灰色辐射模型与计算流体动力学 (CFD) 代码相结合，适用于大规模火灾和燃烧应用

• 批准号: 0060286
• 负责人: Sandip Mazumder
• 金额: $ 9.99万
• 依托单位: CFD RESEARCH CORPORATION
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-01-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0060286&HistoricalAwards=false
• 关键词: SBIR; Phase; Advanced; Nongray; Radiation

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.

这项小型企业创新研究（SBIR）I阶段研究旨在证明使用相关的k-Distripution方法的可行性，并结合控制角度离散方法（CA-DOM），以准确而快速地模拟非 - 大规模火灾和燃烧系统中的灰色辐射运输。 在过去的十年中，计算流体动力学（CFD）已在燃烧行业中取得了巨大成功。 但是，目前尚无CFD软件包，该软件包可以以所需的准确性和计算效率水平处理燃烧气中的非灰色辐射。 有了清洁燃烧的趋势，分子气体的辐射在确定燃烧器性能中具有重要作用，尤其是NOX排放。 在此阶段I研究下，将开发一种基于相关K-分布方法的燃烧气体中辐射转运的新方法。 相关的k分布方法最近已成功使用，并具有通过数量级来提高计算效率的潜力。 这与其他模型相反，而其他模型只有边际改进。 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评估。 将特别注意计算效率。 拟议的辐射模型将是同类产品的第一个商业工具。它的独特性在于它准确，快速预测辐射运输的能力。 预计它将对燃气轮机，炉子建设和汽车行业产生重大影响，在这些行业中，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型火灾和大气辐射计算。