管壳式换热器污垢位置的智能预测方法

Mustafa Al-Naser, S. El-Ferik, R. Ben‐Mansour, Hulail Yousef AlShammari, Abrar Alamoudi
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引用次数: 0

摘要

结垢现象是热交换器行业中最具挑战性的问题之一,它会导致系统效率的降低、生产成本的增加和对环境的有害影响。在这项工作中,我们研究了污垢位置对换热器出口流的影响。为了模拟结垢位置,利用PetroSIM过程模拟器建立了多段换热器模型。结果表明,污垢离换热器出口越近,对出口流量测量的影响越明显。在此基础上,建立了人工智能模型,利用已有的测量数据对污垢位置进行估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Prediction Approach of Fouling Location in Shell and Tube Heat Exchanger
Fouling build-up phenomenon is one of the most challenging problems for heat exchangers in the industry, which leads to a degradation of system efficiency, an increase of production cost, and a harmful environmental impact. In this work, we investigate the impact of fouling location on heat exchanger's outlet streams. In order to simulate fouling location, multi-segments heat exchanger model was built using PetroSIM process simulator. Results show that the closer fouling is to the heat exchanger outlet, the clearer is the impact on the outlet stream measurements. Furthermore, an artificial intelligence model was built in order to estimate the location of fouling using the existing measurement.
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