首页> 外文会议>International Conference on Circulating Fluidized Beds; 20050510-13; Hangzhou(CN) >CFB PROCESS ANALYSIS AND CONTROL SYSTEM DEVELOPMENT WITH MODERN SIGNAL PROCESSING AND PILOT CFB REACTOR
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CFB PROCESS ANALYSIS AND CONTROL SYSTEM DEVELOPMENT WITH MODERN SIGNAL PROCESSING AND PILOT CFB REACTOR

机译:现代信号处理和中试CFB反应器的CFB过程分析与控制系统开发

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摘要

In the future, fluctuations in electricity consumption will increase. This sets new demands for control systems of boilers. The development of a high efficiency CFB power plant (once through steam cycle with supercritical steam values) and the use of alternative fuels require advanced methods of control and knowledge of the dynamic behaviour of the furnace and combustion process. New approach and tools are needed in developing and optimizing the CFB technology considering emissions, combustion process and furnace scale-up. Also in the future, information from process measurements must be utilized more effectively in optimisation and monitoring of the process. There is a lot of information that can be extracted from process measurements by utilizing different signal processing methods. This information can then be applied to process monitoring and control. A prototype for the signal processing tool has been developed, enabling the user to evaluate the results of different analysis techniques in an easy, graphical, and exact way. In order to develop control system performance, a new method to improve flue gas oxygen control is introduced. The method is based on models and analysis of the fluctuation of flue gas oxygen concentration. Fluctuation of oxygen concentration depends on fuel and air feeds and combustion. An estimate for fuel reactivity can be calculated in existing process conditions based on fluctuation in order to apply it to combustion control e.g. during load changes.
机译:将来,用电量的波动会增加。这对锅炉的控制系统提出了新的要求。高效CFB电厂的开发(一次通过具有超临界蒸汽值的蒸汽循环)和使用替代燃料需要先进的控制方法以及对熔炉和燃烧过程的动态行为的了解。考虑到排放,燃烧过程和炉子放大,在开发和优化CFB技术时需要新的方法和工具。同样在将来,必须在优化和监视过程中更有效地利用来自过程测量的信息。通过使用不同的信号处理方法,可以从过程测量中提取很多信息。然后可以将此信息应用于过程监视和控制。已经开发出信号处理工具的原型,使用户能够以简单,图形化和精确的方式评估不同分析技术的结果。为了提高控制系统的性能,介绍了一种改善烟气氧气控制的新方法。该方法基于烟气中氧气浓度波动的模型和分析。氧气浓度的波动取决于燃料和空气的供给以及燃烧。可以基于波动在现有工艺条件下计算燃料反应性的估计值,以便将其应用于例如燃烧控制等。在负载变化期间。

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