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An Optimization Approach for Improving the Exergetic Efficiency in Mesoscale Combustor
Computers & Chemical Engineering ( IF 3.9 ) Pub Date : 2019-12-24 , DOI: 10.1016/j.compchemeng.2019.106707
Xuepu Cao , Yiqing Luo , Xigang Yuan , Zhiwen Qi , Kuo-Tsong Yu

The optimum designs of combustor are traditionally based on trial and error method. In this paper, we propose a systematic optimization method for the optimum design of this kind of reactor. The optimization procedure is introduced by taking a premixed methane/air combustion as an illustrating example. We show the efficiency of the combustion process is dominated by the entropy generation of the reaction and heat transfer and the viscous dissipation of the fluid flow in the reactor. The minimum of entropy generation of the process is thus taken as the objective function and the conservation equations and constant viscous dissipation as the constraints. A solution procedure for the optimization problem based on the calculus of variation is proposed. To validate the proposed method, we show that the optimization procedure can provide a thermodynamic limit for the combustion process by comparing with different internal structures of combustion chamber.



中文翻译:

一种提高中尺度燃烧器燃烧效率的优化方法

传统上,燃烧器的优化设计是基于试错法。本文针对这种反应堆的优化设计提出了一种系统的优化方法。通过以甲烷/空气预混合燃烧为例介绍优化程序。我们表明,燃烧过程的效率主要取决于反应和传热的熵产生以及反应堆中流体流的粘性耗散。因此,将过程的最小熵产生作为目标函数,并将守恒方程和恒定粘性耗散视为约束。提出了一种基于变异演算的优化问题求解方法。为了验证所提出的方法,

更新日期:2019-12-25
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