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机构地区:[1]华南理工大学化工与能源学院,广东广州510640 [2]华南理工大学电力学院,广东广州510640
出 处:《锅炉技术》2006年第B04期72-76,共5页Boiler Technology
摘 要:为减少废塑料在焚烧过程中NOx的生成及充分利用生物质能,提出在循环流化床中将废塑料和生物质进行共燃的处理方法。在实验室循环流化床装置上进行了木粉和塑料粉的共燃实验,研究了温度、木粉和塑料粉混合比例对NO和NO2生成浓度的影响。实验结果表明:随温度升高,NO生成浓度升高,而NO2生成浓度迅速降低;随木粉和塑料粉混合比例增加,NO和NO2生成浓度均降低;共燃时NO的生成量低于2种物料单独焚烧时其生成量的线性叠加,实验条件下NO的减少量最高达43.3%。为寻找二者共燃时NOx生成的一般性规律,采用径向基神经网络建立了NO生成的预测模型,预测结果表明该模型具有很高的准确性。In order to decrease NOx emissions in the process of waste plastic combustion and make use of biomass energy, the technique that making waste plastic and biomass co-corn bust in CFB was put forward in this paper. The co combustion experiments of wood powder and plastic powder were performed in a CFB. The influences of combustion temperature and the ratio of wood powder to plastic powder on the emission of NO and NOe were focused. Experimental results showed that NO emissions increased with the temperature increasing, but NO2 emissions decreased rapidly with the temperature increasing; NO emissions and NOx emissions decreased with the ratio of wood powder to plastic powder increasing; NO emissions were lower when co-combustion than the weighted arithmetic mean of NO emissions when these two fuels combusted respectively, and the highest decrement of NO emissions reaches 43.3 percent in the experiment. In order to search the general law for NO., emissions from co-combustion of wood powder and plastic powder, a forecasting model of NO emissions based on radial basis function neural network was set up and the forecasted results showed that this model was very accurate.
关 键 词:生物质 废塑料 共燃 氮氧化物 循环流化床 径向基神经网络
分 类 号:X705[环境科学与工程—环境工程]
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