西安市高校公共建筑能耗预测模型与节能管理系统研究

发布时间：2018-08-19 07:11

【摘要】：最近几年,雾霾天气给人们造成的心理压力显著增强,抑制建筑行业的高能耗增长趋势,合理利用能源,有利于缓解这种现象的发生。随着高校学生数量的逐年增加,高校建筑能耗占社会总能耗的比重也越来越大。目前,在校生的节能意识不强,高校建筑节能管理系统还不完善,这阻碍了高校节能工作的开展。因此,研究高校各类建筑能耗的变化趋势,制定合理的节能控制策略,对高校节能工作显得尤为重要。高校公共建筑节能工作涉及能耗数据的采集与分析、节能策略的研究等多个环节。本文分析了高校公共建筑能耗的统计指标、用能特点和影响因素,总结了高校公共建筑的能耗特点;基于GA-BP算法建立了实验楼、行政楼、教学楼、体育馆、图书馆、宿舍和餐厅这七类建筑适宜的能耗预测模型,验证了模型的通用性;采用SQL Server 2012软件和MCGS软件搭建了高校公共建筑节能管理系统,并对系统新增的能耗预测模型、供水控制系统、供暖控制系统和自修室自主预约系统的功能进行了测试,验证了系统的可行性。结果表明,分项能耗中,照明能耗所占的比重较大,夏季空调能耗有可能超过照明能耗,各类公共建筑能耗的峰值出现在6月份的概率较大;GA-BP模型的预测效果要优于BP模型的预测效果,BP模型的预测结果不稳定,多维输入变量时的预测误差可能很大;节能管理系统新增的功能运行良好,可为高校管理者能源决策和节能计划的实施提供技术手段。
[Abstract]:In recent years, the psychological pressure caused by haze weather has been significantly increased, which can restrain the increasing trend of high energy consumption in the construction industry and make rational use of energy, which will help to alleviate the occurrence of this phenomenon. With the number of college students increasing year by year, the proportion of energy consumption of university buildings to the total social energy consumption is increasing. At present, the energy saving consciousness of college students is not strong, and the building energy saving management system is not perfect, which hinders the development of energy saving work in colleges and universities. Therefore, it is very important to study the change trend of energy consumption of various buildings in colleges and universities and to formulate reasonable energy saving control strategies. The work of energy saving in public buildings in colleges and universities involves the collection and analysis of energy consumption data and the study of energy saving strategies. This paper analyzes the statistical index of energy consumption of public buildings in colleges and universities, the characteristics of energy use and the influencing factors, summarizes the characteristics of energy consumption of public buildings in colleges and universities, and establishes the experimental building, administrative building, teaching building, gymnasium and library based on GA-BP algorithm. The suitable energy consumption prediction model for seven kinds of buildings, dormitory and restaurant, verifies the generality of the model, uses SQL Server 2012 software and MCGS software to build the energy conservation management system of university public buildings, and the new energy consumption prediction model of the system. The functions of the water supply control system, the heating control system and the autonomous reservation system of the study room are tested, and the feasibility of the system is verified. The results show that the energy consumption of lighting accounts for a large proportion of the energy consumption, and the energy consumption of air conditioning in summer may exceed the energy consumption of lighting. The peak value of energy consumption of all kinds of public buildings appeared in June. The prediction effect of GA-BP model is better than that of BP model. The prediction result of BP model is unstable, and the prediction error of multi-dimension input variable may be very large. The new function of energy saving management system runs well, which can provide technical means for energy decision and energy saving plan implementation of university managers.
【学位授予单位】：西安建筑科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU111.195;TU244.3

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