On-line estimation of circulating fluidized bed boiler fuel composition

E. Ikonen, Markus Neuvonen, István Selek, Mikko Salo, Mika Liukkonen
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Abstract

Estimation of power plant fuel input fractions based on unscented Kalman filtering using a first principles simulation model of the furnace is considered. The approach is described, together with experimental results using data from a full scale circulating fluidized bed power plant. The results encourage the fusion of machine learning and physical models in monitoring of industrial processes.
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循环流化床锅炉燃料成分在线估计
利用炉膛第一性原理仿真模型,研究了基于无气味卡尔曼滤波的电厂燃料输入馏分估计。本文介绍了该方法,并给出了一个大型循环流化床电厂的实验结果。研究结果鼓励机器学习和物理模型在工业过程监控中的融合。
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