基于7状态船舶柴油机SCR脱硝系统的精细化建模与控制
Refined Modeling and Control of Marine Diesel Engine SCR Denitration System Based on 7-State
魏京蕾 1许媛媛 1彭黎 1陶邦林1
作者信息
- 1. 上海海事大学物流工程学院,上海 201306
- 折叠
摘要
传统的3状态选择性催化还原(SCR)脱硝模型只关注NO和NH3对系统的影响,忽略了NO2的作用,但研究发现,NO2的影响也不可忽视.为此,考虑NO和NO2对SCR脱硝系统的影响,设计面向双催化剂、包含NO2的7状态船舶SCR脱硝系统机理模型,分析NO2对船舶脱硝系统性能的影响,讨论精细化模型的精度.此外,从节能降耗角度出发,设计模型预测控制器,对比不同模型的控制效果,结果表明,相比于传统的3状态模型,基于7状态的精细化模型具有更优的控制效果.
Abstract
The conventional 3-state selective catalytic reduction(SCR)denitration model primarily concentrates on the influence of NO and NH3 on the system,omitting the role of NO2.However,the studies show that NO2's influence cannot be disregarded.A 7-state ship SCR denitrification system mechanism model comprising double catalyst and NO2 is created while taking into account the impacts of NO and NO2 on the SCR denitrification system.The performance impact of NO2 on the ship's denitrification system is analyzed and the precision of the improved model is discussed.In addition,a model prediction controller is created to assess the control effects of various models from the standpoint of energy conservation and consumption reduction.According to the findings,the improved model based on the 7-state has a stronger control impact than the conventional 3-state model.
关键词
选择性催化还原/脱硝率/氨逃逸/模型预测控制Key words
selective catalytic reduction(SCR)/denitration rate/ammonia escape/model predictive control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据