通过优化燃煤锅炉自动控制系统降低NOx和CO的排放

K. Schnelle, Atip Laungphairojana, K. Debelak
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引用次数: 2

摘要

迄今为止,关于燃煤锅炉减少NO和CO排放的研究主要集中在对过火空气进行燃烧改性,将空气引入选定的一组燃烧器,使用改性的低nox燃烧器,使用烟气再循环或使用特殊控制的催化剂和添加剂进行烟气处理。本文主要介绍了锅炉动力学和自动控制系统的概念。本研究的目的是通过对自动控制系统进行重组,然后以减排为目标对优化后的控制系统参数进行调整,从而减少NO和CO的排放。动态数据是从火下空气和过火空气的步进测试中获得的。这些数据被用来用描述排放的传递函数对锅炉进行建模。整体模型中包含了分析仪的动态响应。控制参数由总排放传递函数通过数学优化确定。这些控制参数构成了用于锅炉最终试验的自动控制系统的初始值。在锅炉运行期间进行了额外的调整以减少排放。低控制器增益和快速复位时间被认为是最适合控制系统的设置。由过火空气控制的NO排放和由欠火空气控制的CO排放效果最好。«少
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emission reduction of NOx and CO by optimization of the automatic control system in a coal-fired stoker boiler
To date research on NO, and CO emission reduction in stoker-fired boilers has been devoted to combustion modification to the overfire air, diverting air to a selected set of burners, using modified low-NOx, burners, using flue gas recirculation or flue gas treatment with specially controlled catalyst and additives. This study introduces a concept that focuses on the dynamics of the boiler and the automatic control system. The objective of this study was to reduce the NO and CO emissions by restructuring the automatic control system and then tuning the control system with parameters that have been optimized with emission reduction as the objective. Dynamic data were obtained from a step-input test of either the underfire air or the overfire air. These data were used to model the boiler with a transfer function describing the emissions. The analyzer dynamic response was included in the overall model. The control parameters were determined from this overall emissions transfer function by mathematical optimization. These control parameters constituted the initial values in the automatic control system used for the final tests in the boiler. Additional adjustments to reduce the emissions were carried out during boiler operation. A low controller gain and a fast reset timemore » were found to be the most suitable setting for the control system. The NO emissions controlled by the overfire air and CO emissions controlled by the underfire air produced the best results.« less
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