基于ASPEN PLUS和MATLAB遗传算法工具箱对天然气锅炉烟气冷凝换热器的设计与优化  

Design and optimization for the flue gas heat exchanger of natural gas boiler based on ASPEN PLUS and MATLAB genetic algorithm tool

作　　者：张军[1] 曹俊雅[1] 曾齐斌[1] 张香兰[1] 

机构地区：[1]中国矿业大学(北京)化学与环境工程学院,北京100083

出　　处：《计算机与应用化学》2016年第1期64-68,共5页Computers and Applied Chemistry

基　　金：国家自然科学基金资助项目(21306225);北京高校青年英才计划项目(YETP0936)

摘　　要：利用换热器对天然气供热锅炉的烟气冷凝回收余热,是高效利用天然气、减少环境污染最有效的途径之一。本文基于ASPEN PLUS流程模拟系统中的Heat X模块对天然气锅炉烟气回收余热所用的换热器进行模拟计算。通过分析确定影响余热回收经济效益的独立变量:烟气出口温度、冷凝水流量和壳程压降,采用Optimization最优化分析工具优化得到烟气出口温度为45.7℃,冷凝水流量为750 m^3/h,壳程压降为0.06 MPa时,余热回收每小时的经济效益达到1185元,较未优化提高了69.7%。为了防止Optimization陷入局部最优值,用MATLAB的遗传算法工具箱对优化结果进行验证,发现结果基本一致,为换热器的设计或优化提供了一种新方法。Using heat exchanger to recovery waste heat from gas-fired boiler is the most efficient way to utilize natural gas efficiently and reduce environmental pollution. The heat exchanger was simulated by the HeatX block of process simulation system ASPNE PLUS. The independent variables which influence the economic benefit of waste heat recovery were determined： Outlet temperature of flue gas, flow rate of condensed water, pressure drop of shell-side. By Optimization, the results showed that when Outlet temperature of flue gas was 45.7 -C, flow rate of condensed water was 750 m^3/h, pressure drop of shell-side was 0.06 Mpa, the economic benefits of waste heat recovery was achieved to 1185 yuan per hour, increasing 69.7% than without optimization. In order to avoid local optimal value, MATLAB genetic algorithm toolbox was used to verify the results, it shows that the results are basic agreement and provide a new method for designing and optimizing heat exchanger.

关 键 词：天然气 烟气 换热器 ASPEN PLUS MATLAB 

分 类 号：TQ015.9[化学工程] TP391.9[自动化与计算机技术—计算机应用技术]