高强瓦楞纸机干燥部能耗协同控制系统的建模与优化

发布时间：2018-02-27 07:45

本文关键词： 高强瓦楞纸机干燥部能耗预测能耗优化集散控制系统　出处：《陕西科技大学》2017年硕士论文　论文类型：学位论文

【摘要】：节能降耗是造纸工业当前面临的热点问题之一。在制浆造纸过程中,总汽耗的一半以上来自干燥部,而干燥部的能耗主要源自两部分:烘缸内部(蒸汽冷凝水热力系统)能耗和烘缸外部(气罩通风热力系统)能耗。长期以来,许多研究工作都是针对两个系统分别进行能耗优化。为了进一步地降低纸机干燥部能耗、提高能源利用效率,本文基于现有研究成果提出了干燥部能耗协同的概念,即同时考虑蒸汽冷凝水热力系统的能量消耗与气罩通风热力系统的能量消耗,实现二次热能的循环综合利用。本文以浙江某高强瓦楞纸机生产线的干燥工段为研究对象,在陕西省重点科技创新团队计划项目(项目编号:2014KCT-15)的资助下,围绕干燥部能耗预测模型及能耗优化控制策略开展应用技术研究。论文的主要工作可分述如下:(1)多缸纸机干燥部能耗协同系统的设计针对造纸机干燥部热力系统,分别介绍多缸纸机干燥部的蒸汽冷凝水热力系统和气罩通风热力系统的不同供汽方案,并通过对比分析,阐述了各种方案的优缺点。分析蒸汽冷凝水热力系统中多余二次蒸汽和冷凝水的去向,将其用于气罩通风热力系统中新风的加热,针对多缸纸机建立了干燥部能耗协同系统,并阐述了其供汽方案,以达到提高能源利用效率的目的。(2)协同系统能耗预测模型的建立基于多缸纸机干燥部能耗协同系统,针对高强瓦楞纸的干燥工艺,建立高强瓦楞纸机干燥部能耗协同系统。将系统按照热力流程分为加热器、各烘缸段、通风系统等区域。对每个区域进行分析,根据能量守恒定律和物料守恒定律建立其热力学模型,再通过汇总得出干燥部协同系统的能耗机理预测模型。经过与工业现场实测蒸汽消耗量的对比,模型的预测偏差小于10%,与实际情况基本吻合。(3)协同系统能耗优化的研究以干燥部的能耗费用最低作为优化目标,以纸页干燥工艺对参数的要求作为约束条件,根据协同系统的能耗预测模型和运筹学中的非线性规划法,建立高强瓦楞纸机干燥部协同系统的能耗优化模型。采用遗传算法对能耗优化模型进行求解,从而得出在一定环境下对能耗影响较大的几个主要过程参量的最优值,即各段烘缸的进汽压力、气罩送风温度及排风温度等。经过优化后,干燥部的能耗费用较优化前可降低9.63%左右,节能效果明显。(4)基于西门子S7-300 PLC能耗协同控制系统的实现根据各个最优设定值相关控制回路的特点,设计其控制策略。以西门子S7-300系列PLC为硬件开发平台,WinCC和Step7为软件开发平台,完成集散控制系统的开发,实现对高强瓦楞纸机干燥部能耗协同系统的控制,从而达到能耗优化的目的。本文设计的高强瓦楞纸机干燥部能耗协同系统及控制策略的优化方法已在浙江某纸厂的一条高强瓦楞纸生产线上得到了应用,经过一段时间实际运行的结果表明:本文建立的能耗预测模型、能耗优化模型以及相应的控制系统在现场的应用效果良好,可以有效降低系统能耗,为企业带来了一定的经济效益。
[Abstract]:Energy saving is one of the hot issues in papermaking industry at present. In the paper pulping process, the steam consumption of more than half of the total energy consumption from drying, drying part mainly from two parts: internal dryer (steam condensate thermodynamic system) and energy consumption (hood ventilation dryer external thermal system) energy consumption. For a long time. A lot of research work is for the two systems were optimized. In order to further reduce the energy consumption of drying part of paper machine energy consumption, improve energy efficiency, this paper based on the existing research results put forward the concept of collaborative drying energy consumption, both steam condensate heating system energy consumption of ventilation system and the gas heating cover energy consumption. The realization of the two heat recycled. The drying section produced by Zhejiang of a high-strength corrugated paper machine line as the research object, in science and technology innovation team project of Shaanxi Province (item number: 2014KCT-15) supported by the Department of energy consumption prediction model and drying on energy consumption optimization control technology research and application development strategy. The main work of this dissertation is as follows: (1) multi cylinder drying section of paper machine energy consumption collaborative system design for the drying section of paper machine thermal system, different steam steam supply scheme were introduced the condensed water heating system and multi cylinder dryer section of paper machine hood ventilation thermal system, and through comparative analysis, expounds the advantages and disadvantages of various schemes. The analysis of steam condensate water heating system more than two times the steam and condensed water to the gas heating cover, fresh air heating system, aiming at cylinder dryer section of paper machine energy consumption of building a collaborative system, and expounds the steam supply scheme, to improve energy utilization efficiency. (2) the establishment of cooperative system energy consumption prediction model of multi cylinder paper machine dryer based on energy consumption The cooperative system, according to the drying process of high strength corrugated paper, corrugated paper machine drying department established cooperative system. The system for energy consumption in accordance with the thermodynamic process of the heater, dryer section, ventilation system and other areas. Each area is analyzed, according to the law of conservation of energy and keep the material constant the thermodynamic model established by law, summarize the mechanism of energy consumption drying section collaborative system prediction model. By comparison with the measured industrial steam consumption prediction model, deviation is less than 10%, consistent with the actual situation. (3) research on Collaborative energy optimization system for drying of minimal energy consumption cost as the optimization goal, the paper drying process on the parameter requirements as constraint conditions according to the nonlinear programming method, energy consumption prediction model and logistics collaborative system science, energy optimization model establishment of high-strength corrugated paper machine drying department coordination system. By using genetic algorithm to solve the optimization model of energy consumption, so as to obtain the optimal under certain environment mainly process several parameters influence on energy consumption value, namely the inlet steam pressure of each cylinder, gas hood air temperature and exhaust temperature. After optimization, the energy cost of drying part than before optimization can be reduced by about 9.63% and the energy saving effect is obvious. (4) the cooperative control system of SIEMENS S7-300 PLC to achieve the optimal energy consumption according to the set value control loop based on related characteristics, the design of control strategy. Based on SIEMENS S7-300 series PLC as the hardware platform, WinCC and Step7 as software development platform, the completion of the development of distributed control system, realize the cooperative control system on the strength of corrugated paper machine drying energy consumption, so as to achieve the purpose of energy optimization. The design of the drying section of corrugated paper machine collaborative optimization method of energy consumption system and control strategy Has a high strength corrugated paper production line in Zhejiang, a paper mill has been applied, after a period of time the actual operation results show that the energy consumption prediction model established in this paper, the application effect of energy consumption optimization model and the corresponding control system in the field is good, can effectively reduce the energy consumption of the system, to bring certain economic benefits for the enterprise.

【学位授予单位】：陕西科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TS73

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