基于火积的乏风催化装置换热器网络优化  

Heat Exchanger Network Optimization of Catalytic Device by VAM Based on Entransy Theory

作　　者：晋生 陈绘丽[2] 常宏 卢苇 JIN Sheng;CHEN Huili;CHANG Hong;LU Wei(School of Mechanical Engineering,Guangxi University,Nanning 530004,China;Key Laboratory of Materials for Energy Conversion and Storage of Shanxi Province,Institute for Molecular Science,Shanxi University,Taiyuan 030006,China;Department of Materials Engineering,Taiyuan Institute of Technology,Taiyuan 030008,China)

机构地区：[1]广西大学机械工程学院,广西南宁530004 [2]山西大学分子科学研究所,能量转换与存储材料山西省重点实验室,山西太原030006 [3]太原工业学院材料工程系,山西太原030008

出　　处：《山西大学学报（自然科学版）》2023年第6期1411-1418,共8页Journal of Shanxi University(Natural Science Edition)

基　　金：中央引导地方科技发展专项资金项目(YDZX20191400002916);山西省“1331工程”低浓瓦斯梯度多用途利用工程研究中心建设项目(PT201807);山西省科技成果转化引导专项(202204021301010)。

摘　　要：以自主设计组装的乏风瓦斯预热直流催化装置预热系统为研究对象,基于热力学定律与火积分析理论,建立系统换热器网络热导系数模型,研究特定参数范围内最高运行温度、循环温差变化对换热器网络热导系数的影响。结果表明:当总热导系数大于某值时,随着最高运行温度的升高和循环温差的降低,总热导系数大幅下降;当总热导系数小于该值时,参数变化对其影响不再明显。鉴于此提出阈值优化概念,以一级预热系统为例,对比原设计值,采用阈值优化值作为设计参数时系统换热器网络对应总热导系数下降20.2%,热容流下降23.9%;对比以最小总热导系数为目标的优化,阈值优化能结合系统实际运行需求,以增加12.5%总热导系数换取热容流下降39.1%。Taking the preheating system of the self-built VAM preheating direct catalytic oxidation device as the research object,based on the thermodynamic law and entransy analysis theory,the mathematical model of the thermal conductivity of the system was established.The influence of highest operating temperature and cyclic temperature difference changed on the thermal conductivity of the system heat exchanger within the specified parameter range were analyzed.The results show that:when the total thermal conductivity is greater than the threshold,the total thermal conductivity decreases significantly with the increase of the highest operating temperature and the decrease of the circulating temperature difference;when the total thermal conductivity is less than the threshold,the effect of parameter change on it is no longer obvious.In view of this,the concept of threshold optimization is proposed.Taking the primary heat exchange system as an example,comparing the design value,the total thermal conductivity corresponding to the threshold optimization value decrease by 20.2% and the heat capacity flow decrease by 23.9%;comparing with the optimization with the minimum total thermal conductivity as the goal,the threshold optimization can be combined with the actual operating requirements of the system to increase the total thermal conductivity by 12.5%in exchange for 39.1% decrease in heat capacityflow.

关 键 词：预热系统 换热器网络 热导系数 阈值 热容流 

分 类 号：TK172[动力工程及工程热物理—热能工程]