Interaction of hydrogen flames and smart effusion-cooled gas turbine combustor walls

氢火焰与智能喷射冷却燃气轮机燃烧室壁的相互作用

• 批准号: 523792378
• 负责人: Professor Dr. Andreas Dreizler
• 金额: --
• 依托单位: Fachgebiet und Institut für Werkstoffkunde
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/523792378?language=en
• 关键词: Interaction; hydrogen; flames; smart; effusion

The aim of this project is to research the scientific fundamentals of self-adapting effusion cooling for future hydrogen-powered gas turbines. The research concept encompasses and interlinks thermofluidic and materials science issues. In hydrogen combustion, there is a very intensive interaction of the flame with the combustion chamber wall due to significantly smaller flame quenching distances compared to conventional fuels. This results in higher wall heat fluxes and the need for adapted cooling for hydrogen operation. Effusion cooling is suitable because of its high efficiency and relatively low cooling mass flow requirement. In this project, functionalized smart wall structures with integrated sensors and actuators for effusion cooling will be produced using additive manufacturing (AM) processes and their interaction and stability with lean hydrogen flames will be investigated. Temperature sensors will be integrated into the wall to determine wall heat loads for different flame-wall interaction scenarios. AM fabricated porous wall structures will be used to generate a uniform cooling film. As a visionary concept, high-temperature shape memory alloys will be explored in combination with auxetic structures as actuators for self-adapting (smart) control of the cooling air mass flow as a function of the wall heat load (sensor) due to hydrogen combustion. These complex wall structures will be characterized in laboratory experiments with regard to cooling efficiency and interaction between hydrogen flame, cooling air flow and wall using modern laser measurement technology. One focus is on the investigation of the near-wall flame structure and whether it is significantly influenced by thermodiffusive and hydrodynamic instabilities as in flames far from walls. These experimental data will be used to validate innovative mathematical combustion models that take into account the specifics of near-wall lean hydrogen combustion. The prediction quality of the numerical simulation tools developed in the project will be evaluated for the different wall cooling concepts. Thus, the project contributes significantly to the predictive engineering approach, which is essential for the rapid deployment of hydrogen-fueled gas turbines.

本项目的目的是研究未来氢动力燃气轮机自适应发散冷却的科学基础。该研究概念涵盖并链接热流体和材料科学问题。在氢燃烧中，由于与常规燃料相比火焰熄灭距离明显更小，火焰与燃烧室壁存在非常强烈的相互作用。这导致更高的壁热通量和对氢操作的适应性冷却的需要。高效冷却是合适的，因为其高效率和相对低的冷却质量流要求。在该项目中，将使用增材制造（AM）工艺生产具有集成传感器和致动器的功能化智能壁结构，并将研究其与贫氢火焰的相互作用和稳定性。温度传感器将被集成到墙壁中，以确定不同火焰-墙壁相互作用场景的墙壁热负荷。AM制造的多孔壁结构将用于产生均匀的冷却膜。作为一个有远见的概念，高温形状记忆合金将结合拉胀结构作为自适应（智能）控制的冷却空气质量流量的函数的壁热负荷（传感器），由于氢燃烧的致动器进行探索。这些复杂的壁结构将在实验室实验的冷却效率和氢火焰，冷却气流和壁之间的相互作用，使用现代激光测量技术的特点。一个重点是近壁火焰结构的调查，以及它是否是显着的热扩散和流体动力学不稳定性的火焰远离墙壁的影响。这些实验数据将用于验证创新的数学燃烧模型，考虑到近壁贫氢燃烧的具体情况。将针对不同的壁面冷却概念评估项目中开发的数值模拟工具的预测质量。因此，该项目对预测性工程方法做出了重大贡献，这对于氢燃料燃气轮机的快速部署至关重要。