基于主体建模的住宅建筑空调随机使用行为模拟方法研究

发布时间：2018-05-08 15:12

本文选题：空调随机使用行为 + 模拟　；参考：《建筑科学》2017年10期

【摘要】：住宅建筑空调使用行为的随机性和不确定性对空调能耗预测精度影响很大。如何在准确掌握空调随机使用行为特征的基础上,建立科学合理的住宅建筑空调随机使用行为模拟方法,对其空调负荷及能耗模拟具有重要意义。鉴于此,本研究利用基于主体建模的思想建立了住宅建筑空调随机使用行为的模拟方法。首先建立建筑户型、住户类型、空调数量和安装位置的对应关系,其次将居民划分为青年、中年、老年等3类,建立各类居民的在室规律、空调使用行为规则、以及不同类型居民之间空调使用的交互特征;基于主体建模的思想,利用netlogo软件建立居住建筑空调随机使用行为模拟模型。在此基础上,选取杭州市一栋典型住宅建筑进行案例应用,于2017年1月5日至1月11日,对该栋建筑内所有住户每个成员的在室行为、空调使用行为、以及所有住户的空调运行状态进行问卷调研,同时选取典型住户对室内外温度和空调运行情况进行实时监测。根据上述模拟方法对该栋建筑所有住户的空调随机使用情况进行模拟,并将模拟结果和住户空调运行情况进行校核。结果表明,该模拟方法有较好的精度保证,可用于居住建筑空调随机使用行为的模拟。
[Abstract]:The randomness and uncertainty of air conditioning in residential buildings have great influence on the precision of air conditioning energy consumption prediction. How to establish a scientific and reasonable simulation method of air conditioning random use behavior on the basis of accurately mastering the characteristics of air conditioning random use behavior is of great significance to the simulation of air conditioning load and energy consumption. In view of this, based on the idea of agent modeling, the simulation method of air conditioning random use behavior in residential buildings is established in this paper. First of all, the corresponding relationship between the building type, household type, air conditioning quantity and installation position is established. Secondly, the residents are divided into three categories: youth, middle age, old age, etc. Based on the idea of agent modeling, the simulation model of air conditioning random use behavior of residential building is established by using netlogo software. On this basis, a typical residential building in Hangzhou is selected to be applied as a case study. From January 5 to January 11, 2017, the indoor behavior and air conditioning behavior of each member of the building are analyzed. At the same time, the typical households were selected to monitor the indoor and outdoor temperature and air conditioning operation in real time. According to the above simulation method, the random use of air conditioning in all households of the building is simulated, and the simulation results and the operation of the air conditioning are checked. The results show that the simulation method has good precision and can be used to simulate the random use behavior of air conditioning in residential buildings.
【作者单位】：浙江大学建筑工程学院;
【基金】：国家重点研发计划项目“长江流域建筑供暖空调解决方案和相应系统”(2016YFC0700301)
【分类号】：TU831

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