The greenhouse problem has a significant effect on our communities such as, health and climate. Carbon dioxide is one of the main gases that cause global warming. Therefore, CO₂ capture techniques have been the focus of attention these days. The chemical looping combustion technique adopted the air reactor and fuel reactor to recycle heat energy. This study presents a numerical and experimental investigation on a fuel reactor in chemical looping combustor (CLC) system. The present numerical model is introduced by the kinetic theory of granular flow and coupled with gas–solid flow with chemical reactions to simulate the combustion of solids in the CLC. The k–ε turbulent model was used to model the gas phase and the particle phase. The developed model simplify the prediction of flow patterns, particle velocities, gas velocities, and composition profiles of gas products and the distribution of heterogeneous reaction rates under the same operating conditions. The predicted and experimental results were compared according to the basis of determination coefficient (R²). In addition the results showed that there is a good agreement between the predicted and experimental data. The value of (R²) for CO, CO₂ and CH₄ was 0.959, 0.925 and 0.969 respectively. This shows that the present model is a promising simulation for solid particle combustion and gives the power direction for the design and optimization of the CLC systems.

温室问题对我们的社区产生了重大影响，例如健康和气候。二氧化碳是引起全球变暖的主要气体之一。因此，CO ₂捕获技术已经成为当今关注的焦点。化学循环燃烧技术采用了空气反应堆和燃料反应堆来回收热能。这项研究提出了一个化学循环燃烧器（CLC）系统中的燃料反应堆的数值和实验研究。本数值模型是由颗粒流动力学理论引入的，并结合了具有化学反应的气固流，以模拟CLC中固体的燃烧。所述的k-ε湍流模型用于模拟气相和颗粒相。所开发的模型简化了在相同操作条件下的流型，颗粒速度，气体速度和气体产物组成曲线以及非均相反应速率分布的预测。根据测定系数（R ²）比较预测结果和实验结果。此外，结果表明，预测数据和实验数据之间有很好的一致性。CO，CO ₂和CH ₄的（R ²）值分别为0.959、0.925和0.969。这表明本模型是固体颗粒燃烧的有前途的模拟，并为CLC系统的设计和优化提供了动力方向。