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Numerical optimization of a waste-to-energy plant's operating parameters using CFD

机译:使用CFD对垃圾发电厂的运行参数进行数值优化

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Institute for power, process and environmental engineering, Laboratory for combustion and Environmental engineering, Faculty of Mechanical Engineering, University of Maribor, Republic of Slovenia The combustion process for using municipal solid waste as a fuel within a waste to energy plant calls for a detailed understanding of the following phenomena. Firstly, this process depends on many input parameters such as proximate and ultimate analyses, the season of the year, primary and secondary inlet air velocities and, secondly, on output parameters such as the temperatures or mass-flow rates of the combustible products. The variability and mutual dependence of these parameters can be difficult to manage in practice. Another problem is how these parameters can be tuned to achieving optimal combustible conditions with minimal pollutant emissions, during the plant-design phase. in order to meet these goals, a waste-to-energy plant with bed combustion was investigated by using computational fluid-dynamics approach. The adequate variable input boundary conditions based on the real measurement are used and the whole computational work is updated using real plant geometry and the appropriate turbulence, combustion, or heat transfer models. The operating parameters were optimized on output parameters through a trade-off study. The different operating conditions were varied and the combustible products were predicted and visualized. Finally, the response charts and matrix among the input and output parameters during the optimization process are presented, which monitored the dependence among these parameters.
机译:斯洛文尼亚马里博尔大学机械工程学院动力,过程和环境工程研究所,燃烧与环境工程实验室,斯洛文尼亚马里博尔大学,将城市固体废物用作能源废料中的燃料的燃烧过程需要深入了解以下现象。首先,此过程取决于许多输入参数,例如最近和最终分析,一年的季节,一次和二次进气速度,其次取决于输出参数,例如可燃产品的温度或质量流率。这些参数的可变性和相互依赖性在实践中可能难以管理。另一个问题是在工厂设计阶段,如何调整这些参数以实现最佳的可燃条件和最小的污染物排放。为了实现这些目标,使用计算流体动力学方法研究了具有床燃烧的废物变能源工厂。使用基于实际测量值的足够的可变输入边界条件,并使用实际设备的几何形状和适当的湍流,燃烧或传热模型来更新整个计算工作。通过权衡研究对输出参数进行了优化。改变了不同的操作条件,并对可燃产物进行了预测和可视化。最后,给出了优化过程中输入和输出参数之间的响应图和矩阵,从而监控了这些参数之间的依赖性。

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