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Boosting power plant performance with advanced process control

机译:通过先进的过程控制提高发电厂的性能

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Cool fired power plants have come a long way in terms of greater efficiency and reduced emissions. It is only recently however, that advanced process control technologies, well established in other industries, have been made available to power plants. One such process control system has led to significant reductions in NO{sub}x, as well as greater fuel efficiency. Multi-variable model predictive control (AAPC) is an established technology with superior performance over traditional single-input/single-output (SISO) control strategies. Originally developed for petroleum refineries, MPC has become common in process industries over that past 30 years. It is only recently, however, that MPC has found its way into power plant control and optimization.
机译:冷却火力发电厂在提高效率和减少排放方面已经走了很长一段路。但是直到最近,发电厂才可以使用在其他行业中已经建立的先进的过程控制技术。一种这样的过程控制系统已经导致NO {sub} x的显着减少以及更高的燃料效率。多变量模型预测控制(AAPC)是一项已确立的技术,其性能优于传统的单输入/单输出(SISO)控制策略。 MPC最初是为石油精炼厂开发的,在过去的30年中已在加工行业中变得很普遍。但是,直到最近,MPC才进入发电厂控制和优化的道路。

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