辽阳石化生活区供热系统节能改造的应用与研究

发布时间：2018-03-28 06:43

本文选题：辽阳石化公司　切入点：供热系统　出处：《辽宁科技大学》2013年硕士论文

【摘要】：随着辽阳石化公司生活区的发展建设,供热面积的不断扩大,现有供热系统的运行模式难以满足生活区发展的现代化要求,如何提高生活区供热系统的供热品质,节约公司能源和保护自然环境,已经成为公司的热点、难点问题。本文以辽阳石化公司生活区供热系统节能改造为研究背景,在下列两方面进行了深入的探索和研究:(1)由于供热系统中,负荷预测对供热系统进行优化调节具有重要作用,为保证公司供热系统的节能效率和供热质量,公司相关部门要跟踪预测生活区用户的用热情况,以满足对公司供热系统进行优化调节的前提需要。因此,本文对供热系统的负荷预测作了深入研究。首先,对BP神经网络理论系统进行较为深入的探讨和研究;然后,根据供热系统中的热负荷特点,结合公司供热系统的实际情况,建立了关于人工神经网络的负荷预测模型;最后,通过仿真示例验证了该负荷预测模型具有较高的精度,从而验证设计内容、方式的有效性。(2)由于热力站作为热源与热用户之间的一个重要连接环节,热力站的供热质量对公司整个供热系统的的热力工况具有重大影响,对提高公司供热系统的供热质量有着重要作用。因此,本文对公司热力站自动控制系统进行认真研究,在公司供热系统温度控制的过程中,由于被控制对象具有不确定性和大滞后等特点,常规PID控制难以取得满意的控制效果。为此,采用模糊PID算法实现对公司供热系统的温度控制。同时,利用仿真设计软件验证该方法的有效性。该内容也是本文研究的主要内容之一,对公司的发展建设具有十分重要的意义。
[Abstract]:With the development and construction of Liaoyang Petrochemical Company's living area and the continuous expansion of heating area, the operation mode of the existing heating system is difficult to meet the requirements of the modernization of the living area development. How to improve the heating quality of the living district heating system, Saving energy and protecting natural environment has become a hot and difficult problem in Liaoyang Petrochemical Company. In order to ensure the energy saving efficiency and heating quality of the heating system, the load forecasting plays an important role in the optimization and regulation of the heating system. The relevant departments of the company should track and forecast the heat consumption of the users in the living area to meet the premise of optimizing the regulation of the heating system of the company. Therefore, the load forecasting of the heating system is studied deeply in this paper. First of all, the load forecasting of the heating system is studied in depth. The theoretical system of BP neural network is discussed and studied deeply. Then, according to the characteristics of heat load in heating system and the actual situation of heating system in the company, the load forecasting model of artificial neural network is established. The simulation example shows that the load forecasting model has a high accuracy, thus validates the design content and the effectiveness of the method. (2) because the thermal station is an important link between the heat source and the thermal user, The heating quality of the heating station has a great influence on the thermal condition of the whole heating system of the company, and plays an important role in improving the heating quality of the heating system of the company. Therefore, the automatic control system of the thermal station of the company is studied in this paper. In the process of temperature control in the heating system of the company, because the controlled object has the characteristics of uncertainty and large lag, it is difficult to obtain satisfactory control effect by conventional PID control. The fuzzy PID algorithm is used to realize the temperature control of the heating system of the company. At the same time, the effectiveness of the method is verified by the simulation design software, which is also one of the main contents of this paper. It is of great significance to the development and construction of the company.
【学位授予单位】：辽宁科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU995

【相似文献】