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Online Performance Monitoring of Discrete Legs in a Convective Heat Exchanger of a Coal Fired Power Plant Boiler

机译:煤发电厂锅炉对流热交换器离散腿的在线性能监测

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The convective pass of a coal fired power plant boiler consists of several heat exchanger stages. Knowledge about the real-time performance of these heat exchangers is valuable for informing operational practices, preparing maintenance strategies and performing root cause analysis. For the specific boiler being studied, the steam in each stage is split into four legs that run in parallel across the boiler width. These legs alternate between the sides and across the centre of the boiler to disperse the effects of an uneven heat profile along the cross section of the flue gas flow path. Previous work has shown that the typical measurement setup in these boilers allows the performance parameters of each complete heat exchanger stage to be determined online using one-dimensional mass and energy balance equations [1][2]. However, flow and temperature maldistribution occurring in steam headers and the flue gas flow path leads to a non-uniform distribution of the performance of individual legs. We present and compare two methods of determining the performance of the individual heat exchanger legs online from process measurements. The first method employs soft sensors based on a thermo-fluid process model that not only accounts for the mass and energy balance, but also solves for momentum conservation. This allows the prediction of the flow distribution in common headers and ducts. The Flownex one-dimensional thermo-fluid network software is used for the modelling effort. The second method is based on the reconstruction-based contribution method which compares measured data to plant performance signatures that allows identification of deterioration of individual heat exchanger legs. These signatures are originally generated with the aid of the process model developed above for different fault scenarios. A case study of a final superheater stage is presented to assess the benefits and limitations of each method. These methods enable the performance of individual legs to be monitored online from process measurements and therefore provide higher resolution results within a heat exchanger stage.
机译:燃煤发电厂锅炉的对流通行证由多个换热器级组成。关于这些热交换器的实时性能的知识对于通知操作实践,准备维护策略并进行根本原因分析是有价值的。对于所研究的特定锅炉,每个阶段中的蒸汽被分成四个腿,该腿在锅炉宽度上并联运行。这些腿在锅炉的侧面和横跨锅炉的中心之间交替,以沿着烟道气流路径的横截面分散不均匀的热分析的影响。以前的工作表明,这些锅炉中的典型测量设置允许使用一维质量和能量平衡方程在线在线确定每个完整的热交换器级的性能参数[1] [2]。然而,在蒸汽倒置和烟道气流路径中发生的流动和温度恶性分布导致单个腿的性能的不均匀分布。我们展示并比较了从过程测量中在线确定各个热交换器腿的性能的两种方法。第一种方法采用基于热敏传感器,基于热流体过程模型,不仅占质量和能量平衡,而且还可以解决动量保守。这允许预测公共带和管道中的流动分布。 Flownex一维热流网络软件用于建模努力。第二种方法基于基于重建的贡献方法,其将测量数据与工厂性能签名进行比较,其允许识别各个热交换器腿的劣化。这些签名最初是借助于上面开发的用于不同故障场景的过程模型生成的。提出了对最终过热器阶段的案例研究以评估每种方法的益处和局限性。这些方法使得能够从过程测量中在线监视各个腿的性能,因此在热交换器阶段内提供更高的分辨率结果。

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