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Temperature prediction in a coal fired boiler with a fixed bed by fuzzy logic based on numerical solution

机译:基于数值解的模糊逻辑的燃煤固定床锅炉温度预测

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摘要

In this study, steady state combustion in boilers with a fixed bed has been investigated. Temperature distributions in the combustion chamber of a coal fired boiler with a fixed bed are predicted using fuzzy logic based on data obtained from the numerical solution method for various coal and air feeding rates. The numerical solution method and the discretization of the governing equations of two dimensional turbulent flow in the combustion chamber and one dimensional coal combustion in the fixed bed are explained. Control Volume and Finite Difference Methods are used in the discretization of the equations in the combustion chamber and in the fixed bed, respectively. Results are presented as contours within the solution domain and compared with numerical ones. Comparison of the results shows that the difference between the numerical solution and fuzzy logic prediction throughout the computational domain is less than 1.5%. The statistical coefficient of multiple determinations for the investigated cases is about 0.9993 to 0.9998. This accuracy degree is acceptable in predicting the temperature values. So, it can be concluded that fuzzy logic provides a feasible method for defining the system properties.
机译:在这项研究中,已经研究了固定床锅炉的稳态燃烧。基于从各种煤和空气进料速率的数值解法获得的数据,使用模糊逻辑对具有固定床的燃煤锅炉燃烧室中的温度分布进行了预测。解释了燃烧室中二维湍流和固定床中一维煤燃烧的数值解法和离散化控制方程式。控制量和有限差分法分别用于燃烧室和固定床中方程的离散化。结果以等值线表示在解决方案域内,并与数值进行比较。结果比较表明,在整个计算域中,数值解与模糊逻辑预测之间的差异小于1.5%。对于所调查病例的多次确定的统计系数约为0.9993至0.9998。在预测温度值时,此准确度是可以接受的。因此,可以得出结论,模糊逻辑为定义系统属性提供了一种可行的方法。

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