印染热定型机煤、电能耗建模及优化求解研究 -学兔兔 www.xuetutu.com.pdf

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第34卷第3期
仪器仪表学报
2013年3月
Chinese Journal of Scientific Instrument
Mar.2013
印染热定型机煤、电能耗建模及优化求解研究
水
任佳',苏安业2
(1.浙江理工大学机械与自动控制学院杭州310018
2.浙江大学工业控制技术国家重点实验室智能系统与控制研究所杭州310027)
摘要:热定型过程位于印染工业流程中的后处理工段,主要完成织物的拉幅定型处理。该工段能耗巨大,约占印染企业总能
耗的二分之一。定型过程能耗主要源于为导热油加热的燃料煤耗以及导热风机消耗的电能。首先基于定型机的物理结构及
艺原理,依据牛顿热交换公式和换热平衡方程,推导出煤耗与定型机各级烘箱温度、布匹速度与导热风机风速之间的能耗关联
模型;然后,依据风机风量与功率关系推导出导热风机的电耗关联模型。最后将总能耗模型(煤耗+电耗)转化为能耗最小的
优化问题,运用粒子群优化( particle swarm optimization,rSO)算法对其进行优化求解。求解结果可解释为定型过程能耗最小时
关键参数对应的最优工作点;该优化求解结果经实践验证后可进一步作为定型过程节能降耗的有效操作指导。
关键词:能耗模型;粒子群优化;热定型机
中图分类号:TP183TH80文献标识码
国家标准学科分类代码:510.80
Coal electricity energy consumption modeling and optimal
solution of fabric heat-setting machine
Ren Jia, Su Hongy
(1. Department of Automation, School of Mechnical Engineering &Automation, Zhejiang Sei-fech University
Hangzhou 310018, China 2 State Key Laboratory of Industrial Control Technology, Institute of Cyber-systems
and Control, Zhejiang University, Hangzhou 310027, China
Abstract: As the post-processing section in dyeing and printing industry, heat-setting process mainly completes fabric sten
tering and setting operations, its energy consumption almost accounts for aboul 1/2 of total energy consumption in dyein
and printing enterprises. The energy consumption of heat-setting process mainly consists of the fuel coal consumption used
for heating the heat conducting oil and the electricity consumption caused by thermal fans. First, based on the physical
structure and processing principle, the energy relation models between coal consumption and each oven temperature, as well
as the fabric running speed and thermal fan speed are derived according to Newton's heat exchange formula and heat bal
ance equation. Then, the thermal fan electricity consumption relation model is deduced accoring to the relation between
the fan air volume and its consumed power. Finally, the total energy consumption model (coal consumption electricity
consumption )is transformed into the minimum energy consumption optimization problem, which is then solved with particle
swarm optimization algorithm. The optimization results can be explained as the key parameter optimal operating points of
heat-setting process under minimum energy consumption condition. After practical test verification, he proposed optimiza-
tion results can be used as the effective operation guidance for proeess energy-saving and consumption reduction
Keywords: energy consumption model; particle swarm optimization(PSO); heat-setting machine
收稿旨:2012-07 Rcceived Date:2012-07
本基金项目:浙江省自然科学基金项目(LQ12FO3013)、国家自然科学基金项目(61203177,51005213)、浙江大学工业控制技术国家重点实验
室开放课题(ICTI230)资助