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住区组团布局形态的冬季热环境分析

Study on the Thermal Environment of Residential Cluster Based on Layout Pattern in Winter

【作者】 王琼

【导师】 赵敬源;

【作者基本信息】 长安大学 , 建筑技术科学, 2010, 硕士

【副题名】以西安地区为例

【摘要】 组团热环境是指单体建筑室内空间和组团建筑物之间的室外空间所组成的三维空间热环境。组团布局形态对于组团热环境的影响研究,有助于提高建筑物的气候适应性,地形适应性和环境适应性,并在满足居民室内外居住环境质量的条件下,降低建筑能耗,从而为住区规划提供优选方案。本文从建筑技术的视角,采用理论分析、模拟预测和实测验证相结合的数值分析方法,针对组团热环境展开如下相关研究:首先较详尽描述了组团内建筑热环境的物理过程,分析组团内建筑热环境室内、外各项影响因素的影响机理及室内外热扰的双向传递过程,掌握组团内建筑微气候的形成机理,并抽象出数学模型。其次通过对组团内建筑热过程的详细分析,采用逐次迭代的方法解决了热环境模拟中的气象参数的问题,整合由组团热环境模拟计算得出的气象数据作为建筑能耗软件的输入数据的联合模拟程序。并通过住区综合性实验,对比分析模拟预测数据。在此基础上以西安地区为例,利用本文建立的模拟程序,针对住区组团布局的多样变化,通过多个算例依次改变设计人员最为关心的组团布局参数,在满足室内温度不变的情况下以能耗为参考项得出西安地区的优选组团方案:南、北侧建筑均为L形,开口在西面且开口比例为2:1时的围合式布局全年能耗最低;行列式布局中日照间距为1.2H时全年能耗最低;北侧建筑与南侧建筑相对高度比为1.5:1时全年能耗最低;风向投射角在30度-45度时全年能耗最低;北侧建筑为L形,南侧为条形或者南侧建筑为L形,北侧为条形,当L形建筑的形体尺寸比例为0:1:0.5时的半围合式布局全年能耗最低。本文进一步定量地证实了组团布局的不同形态影响着建筑室内、外热环境及建筑能耗,应将热环境设计同建筑设计紧密结合起来,通过建筑技术手段在规划初期给予设计人员形态组合等方面可供操作的优选项,以期从建筑设计、建筑热环境两个层面达到预期的目的。

【Abstract】 Cluster thermal environment means that the 3D thermal environment which be composed of the indoor of building and the outdoor of cluster. The study on cluster layout pattern, it is not only contributing to improve the climate adaptability, terrain adaptability and environment adaptability, but also providing the optimization plan for the residential plan that can reduce the building energy consumption with contenting the quality of the resident environment.In view of the architectural technology, the thesis combine to the way of the theory analysis simulation calculate and investigation:At first, Thorough describing the physics process of the building thermal of cluster, the thesis analysis each impact mechanism of cluster indoor and outdoor and the doubleaction process of the indoor and outdoor heat-attected. It is grasped the conformation mechanism of the cluster microclimate and is abstracted mathematical model.Secondly, a union simulation program for the cluster thermal environment and building energy consumption is given. It is based on the thorough analysis of its thermal process as well as the integrated and accurate calculation of the relevant factors and adopting the way of success iteration to solve the problem of atmosphere parameter in the simulation of the thermal environment. Look on the simulation data of the CFD software as the import data of the building energy simulation software. Thorough the residential synthesis experiment, the thesis analysis and found that the simulation forecast digital approach the measuring digital. It is be proved of the accuracy of the simulation programmer.Then, for example in Xi’an, with lots of numerical example experiments, under holding the indoor temperature, the thesis successively change the cluster layout parameter that the designer care and obtain the optimization cluster plan that looked energy consumption on as reference for the diversify cluster layout by the simulation programmer. The optimization cluster plan is:the north building and the south building are all L shape, the building energy consumption is the lowest when the openning of enclosed layout lived in the east side and the ratio is 2:1; the building energy consumption is the lowest when the distance of solar is 1.2H in the array layout; the building energy consumption is the lowest when the north building and the south building is compare to 1.5:1; the building energy consumption is the lowest when the wind projection angle is in the 30 degree-45 degree; the north building is L shape and the south building is line or the south building is L shape the north building is line, the building energy consumption of the semi-enclosed layout is the lowest when the shape scale ratio of the L shape building is 0:1:0.5.The effects of some important the cluster layout are compared quantitatively for the.thermal environment and building energy consumption. It should be combined the thermal environment design with the architecture design. Thorough the architectural technology measure, it is be provided the optimization plan at the form combination for the designer in the plan prime.

【关键词】 组团热环境能耗模拟
【Key words】 clusterthermal environmentenergy consumptionsimulation
  • 【网络出版投稿人】 长安大学
  • 【网络出版年期】2011年 03期
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