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On-line Operating Adjustment of Small Biomass Fired Boilers Optimizing CO and NO_x Emissions

机译:小型生物量燃烧锅炉的在线操作调整优化CO和NO_X排放

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Control of combustion conditions in small-scale biomass boilers for heating purposes is a specific task because it must be carried out without any high additional costs. If a basic control of heating water on a desired value is performed by means of a PI control algorithm in a PLC, it is possible to enhance this control unit with other algorithms taking care for searching optimal operating conditions. These conditions are considered from the viewpoint of energy efficiency and ecological impacts, especially emissions of unburned hydrocarbons and CO, but also nitrogen oxides are in interest. This previously minor problem has become significant with the large expansion of the small-size biomass-fired boilers. The combustion process consists of phenomena that we have little information about for an exact mathematical description. The equations of the chemical reactions are known, but in reality the combustion of biomass is much more complicated and more variable than a mathematical model can express. Therefore, techniques searching extreme are more suitable than controllers requiring a mathematical model in design or tuning. In such a way it is possible to design a controller that is able to control the combustion process effectively over the whole operation range.
机译:用于加热目的的小型生物质锅炉中的燃烧条件是特定任务,因为它必须进行,而无需任何高额费用。如果通过PLC中的PI控制算法对所需值进行所需值的基本控制,则可以使用其他算法增强该控制单元,以便在寻找最佳操作条件。从能效和生态冲击的观点来看,这些条件是考虑的,特别是未燃烧的碳氢化合物和CO的排放,而且氮氧化物是感兴趣的。这个以前的小问题与小尺寸生物质烧制锅炉的大膨胀变得显着。燃烧过程包括我们对确切数学描述的信息很少的现象。化学反应的等式是已知的,但实际上,生物质的燃烧比数学模型表达的更复杂和更可变。因此,搜索极端的技术比需要在设计或调整中的数学模型的控制器更合适。以这种方式,可以设计能够在整个操作范围内有效地控制燃烧过程的控制器。

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