化工进展2024，Vol.43Issue(6)：2968-2976,9.DOI:10.16085/j.issn.1000-6613.2023-0808
基于混合模型的脱硫废水旁路蒸发系统能耗特性
Hybrid modeling for energy consumption prediction of desulfurization wastewater bypass evaporation system
摘要
Abstract
The bypass evaporation system for desulfurization wastewater can reduce the efficiency of the boiler and increase coal consumption by extracting part of the hot flue gas at the inlet of the air preheater.To achieve accurate prediction of the energy consumption caused by the extracted hot flue gas,a hybrid model prediction method combining a mechanistic model and an artificial neural network was proposed.Operational data from a 660MW power plant in Guangdong Province were collected as samples.Six parameters,including the wind temperature at the inlet of the air preheater,the flow rate of air,the extracted flue gas volume and temperature,the boiler load,and the coal feed rate,were used as inputs to establish a backpropagation neural network(BPNN)model for predicting the air heat transfer through the air preheater.The optimal structure of the network was determined by simulating and analyzing different hidden layer structures,and it was found to be 6-9-1,with a coefficient of determination(R2)of 0.99478 and a relative error of about 1%for the prediction model.The overall prediction effect of the model was good.Based on this,the qualitative law of energy consumption for the bypass evaporation system was obtained by combining the mechanistic model and typical operating conditions of fluctuating unit loads and extracted flue gas volumes.关键词
脱硫废水/热烟气/旁路蒸发系统/能耗预测/混合模型Key words
desulfurization wastewater/hot flue gas/bypass evaporation system/energy consumption prediction/hybrid model分类
资源环境引用本文复制引用
郑锁祺,詹凌霄,陈恒,李志浩,王禹瑞,赵宁,吴昊,杨林军..基于混合模型的脱硫废水旁路蒸发系统能耗特性[J].化工进展,2024,43(6):2968-2976,9.基金项目
国家自然科学基金(52076046) （52076046）
中国南方电网有限责任公司科技项目(GDKJXM20183546). （GDKJXM20183546）
