某商场热舒适性研究及空调末端节能控制优化
发布时间:2018-01-09 14:25
本文关键词:某商场热舒适性研究及空调末端节能控制优化 出处:《华南理工大学》2014年硕士论文 论文类型:学位论文
更多相关文章: 大型综合商场 热舒适性 气候适应性模型 区域特征温度 节能优化控制策略
【摘要】:随着生活品质的不断提高,人们对室内热舒适性的要求越来越高。商场作为大型的公共建筑,具有室内人流密度较大、各种热源较多等特点,其室内热舒适性已经引起社会的广泛关注。舒适的室内环境不仅有利于人们的身心健康,,对商场而言也是提高服务质量、促进顾客消费的关键之一。中央空调作为商场调节室内热环境的最主要手段,在为商场提供舒适的室内环境的同时,也产生了巨大的能耗。因此,如何在满足商场室内热舒适性的前提下实现空调系统的节能降耗是商场建筑节能工作开展的重点。 本文以广州某大型综合商场为研究对象,结合亚热带地区气候特点,开展室内热舒适性研究,通过建立商场室内热舒适性模型,对室内温度设定值进行了优化。在此基础上,以研究团队实施的该商场空调末端精细化管理控制系统为平台,从满足室内热舒适性的角度出发对商场空调末端系统进行了节能优化控制策略研究,为实现满足商场室内热舒适性前提下的空调末端系统节能控制优化提供工程应用依据。 本文主要的研究工作包括: (1)针对商场室内热舒适性问题设计了现场调查方案,并以广州某大型综合商场为研究对象进行了现场问卷调查及环境参数测试,为商场热舒适性模型的建立奠定基础。 (2)在统计分析调查结果数据的基础上,采用回归分析的方法建立了商场的MTS模型和PMV模型,两者的对比结果显示后者由于没有考虑亚热带地区人们的气候适应性,其预测的热感觉比现场问卷调查得到的MTS值要高,最后在MTS模型的基础上建立了商场的气候适应性模型。 (3)以商场空调末端系统为平台进行了气候适应性模型的应用研究,对商场室内温度设定值进行了优化,同时针对商场的大空间建筑结构,提出了以区域特征温度替代回风温度作为反馈值的空调末端控制策略;气候适应性模型和区域特征温度应用后的现场调查问卷结果显示,商场室内热舒适性得到了提高,舒适度从原来的56.1%提高到69.2%。 (4)在气候适应性模型和区域特征温度的应用研究基础上,利用商场既有的空调末端控制系统对空调末端节能优化控制策略进行研究,设计了“优先考虑空调末端能耗”和“优先考虑冷冻水泵能耗”两种不同的控制策略,测试结果表明在前一种控制策略条件下,空调末端与冷冻水泵的总能耗比后者降低6.05%。
[Abstract]:With the continuous improvement of the quality of life, people have higher and higher requirements for indoor thermal comfort. As a large public building, shopping malls have the characteristics of large density of indoor flow of people, various heat sources and so on. The comfortable indoor environment is not only conducive to people's physical and mental health, but also to improve the quality of service. As the most important means to regulate the indoor thermal environment, central air conditioning provides a comfortable indoor environment for shopping malls, but also produces huge energy consumption. How to realize the energy saving and consumption reduction of air conditioning system under the premise of satisfying the indoor thermal comfort is the focus of building energy conservation in shopping malls. In this paper, a large-scale comprehensive shopping mall in Guangzhou as the research object, combined with the climate characteristics of subtropical areas, the indoor thermal comfort research, through the establishment of indoor thermal comfort model of shopping malls. On the basis of the optimization of indoor temperature setting, the research team implemented the air conditioning terminal fine management and control system as the platform. From the point of view of satisfying indoor thermal comfort, the energy saving optimization control strategy of air conditioning terminal system in shopping mall is studied. It provides engineering application basis for energy saving control optimization of air conditioning terminal system under the premise of satisfying indoor thermal comfort in shopping malls. The main research work of this paper includes: In order to solve the problem of indoor thermal comfort, a field investigation scheme was designed, and a questionnaire survey and environmental parameter test were carried out in a large comprehensive shopping mall in Guangzhou. It lays a foundation for the establishment of thermal comfort model of shopping malls. 2) based on the statistical analysis of the survey data, the MTS model and the PMV model of the shopping mall are established by using the method of regression analysis. The comparison between the two shows that the MTS of the latter is higher than that of the field questionnaire because it does not take into account the climate adaptability of people in the subtropical region. Finally, based on the MTS model, the climate adaptability model of shopping mall is established. 3) based on the air conditioning terminal system of shopping mall, the application of climate adaptability model is studied, and the indoor temperature setting value is optimized, at the same time, the large space building structure of shopping mall is optimized. A terminal control strategy of air conditioning system is proposed, in which the region characteristic temperature is used instead of the return air temperature as the feedback value. The results of the field survey after the application of climate adaptability model and regional characteristic temperature showed that the indoor thermal comfort of the shopping mall was improved from 56.1% to 69.2. 4) on the basis of climate adaptability model and application research of regional characteristic temperature, the energy saving optimization control strategy of air conditioning terminal is studied by using the existing air conditioning terminal control system in shopping malls. Two different control strategies are designed, which are "giving priority to air conditioning terminal energy consumption" and "giving priority to chilled water pump energy consumption". The test results show that under the former control strategy conditions. The total energy consumption of the air conditioning terminal and the refrigerated water pump is 6.05 lower than that of the latter.
【学位授予单位】:华南理工大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TU831
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