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The Million Dollar Annual Payback: Realtime Combustion Optimization with Advanced Multi-Variable Control At PPL Colstrip

机译:百万美元的年回报:PPL Colstrip上采用先进的多变量控制的实时燃烧优化

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Advanced Model-Predictive Multi-Variable Control provides realtime control of complexcombustion processes, such as those found in a large modern utility boiler. Advancedrealtime MPC controls are capable of making periodic predictions and setpoint/biaschanges in less than 10 seconds, on a continuous basis, making them faster than theresponse times of combustion hardware and processes. This makes the MPC controlsuitable for true realtime combustion control and optimization.The current popular understanding of these controls is that they are used to control NOxproduction. However, there are multiple other financial benefits which equal or exceedthe value of NOx reductions. These are accomplished via controllable loss managementstrategies, including excess O2 balancing and reduction, as well as superheat and reheatspray flow reductions. A properly configured and tuned MPC controller will typicallyreduce NOx and these other variables from 10 to 40%. Based on direct project results,and EPRI-published heat rate improvement data, these factors combine for economicbenefits which far exceed the cost of the control implementation on larger utility boilersof 500MW and above. An example improvement program calculation shows the relativecontribution of each of these factors.As part of recent control system upgrades and retrofits, PPL Colstrip has installed andutilized new combustion optimization systems, based on advanced Model-PredictiveMulti-Variable controls. These COS’s provide realtime control of complex combustionprocesses on three of the four units at site, with the fourth one currently beingimplemented. These controls were tested for control of NOx production, which in and ofitself will provides significant cost benefits as the plant eventually comes under localNOx control environmental standards. Heat rate improvements contribute furtherfinancial benefits which equal or exceed the potential value of Nox reductions, and arelarge enough to pay for the controller in less than one year. Benefits can then continue toaccrue by providing ongoing annual savings that grow as the cost of fuel andenvironmental compliance increases.
机译:先进的模型预测多变量控制提供对复杂零件的实时控制 燃烧过程,例如在大型现代公用锅炉中发现的过程。先进的 实时MPC控件能够进行定期预测和设定点/偏差 在不到10秒的时间内连续变化,从而使它们比 燃烧硬件和过程的响应时间。这使得MPC控制 适用于真正的实时燃烧控制和优化。 对这些控件的当前流行理解是它们用于控制NOx 生产。但是,还有许多其他财务利益等于或超过 减少NOx的价值。这些是通过可控的损失管理来完成的 策略,包括过量的氧气平衡和减少,以及过热和再热 减少喷雾流量。正确配置和调整的MPC控制器通常会 将NOx和其他变量从10%降低到40%。根据直接的项目结果, 和EPRI发布的热效率改善数据,这些因素结合起来 带来的好处远远超过了大型公用锅炉的控制实施成本 500MW及以上。改进程序计算示例显示了相对 这些因素中每个因素的贡献。 作为最近的控制系统升级和改造的一部分,PPL Colstrip已安装并 基于先进的模型预测技术,利用了新的燃烧优化系统 多变量控件。这些COS可以实时控制复杂的燃烧 在现场四个单元中的三个单元上进行处理,目前正在处理第四个单元 实施的。测试了这些控件的NOx生成控制,包括: 由于工厂最终将归当地所有,其本身将提供巨大的成本优势。 NOx控制环境标准。热率的提高进一步做出了贡献 等于或超过减少NOx的潜在价值的财务收益,并且是 足以在不到一年的时间内支付控制器费用。好处可以继续 通过提供持续的年度节省来累积,该节省随着燃料和燃料成本的增长而增加 环保要求增加。

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