北京地区大进深办公室天然采光与人工照明节能关系的研究

发布时间：2018-05-29 20:06

本文选题：天然采光 + DA_(450)　；参考：《中国建筑科学研究院》2014年硕士论文

【摘要】：我国是世界上能源需求增长速度最快的国家之一,已经成为仅次于美国的第二能源消费大国,节约能源具有重大意义。天然光利用一直是建筑可持续发展的重要方面,不仅可以有效降低照明用电能耗,节能潜力巨大,还对于营造舒适、健康的环境也起着重要作用。办公建筑是我国公共建筑的主体,考虑到城市土地资源的逐渐稀缺、以及大进深办公建筑的逐步流行,大进深大空间的采光正越来越得到重视。综上所述,本文将研究课题定位于大进深办公室的天然采光与人工照明节能关系的研究。本课题主要从五个方面展开研究：第一,侧面采光影响因素分析。首先,探讨本课题的研究对象办公建筑所具有的分类；其次,叙述办公建筑的采光形式；然后,分析在不同采光口形式下的采光性能；第二,软件分析部分。针对不同软件进行对比分析,确定Daysim作为动态采光模拟和Diva for Rhino作为采光系数的模拟计算工具。第三,办公建筑采光节能的分析方法,分析不同影响因素对全年采光水平的影响,如室内表面反射比、窗的总透射比、朝向、窗户形状、窗台高、进深等。第四,参照《建筑采光设计标准》GB50034-2013版的研究方法,列举出共计231个房间组成的办公空间集合,研究231个房间的采光节能潜力系数k,采光节能潜力系数k主要依据DA450,描述房间全年所具有的采光节能潜力。最后,分析部分利用采光区域的范围。本文的采光分析是基于房间或建筑全年采光水平,将全年采光水平与节能分析相结合本文的研究思路。根据以上四个方面的研究,本文结论主要包括：第一,大进深房间的采光及采光节能问题应该得到重视。第二,比较计算结果后发现,窗口形状及位置、建筑层高、房间朝向对大进深房间的全年采光水平影响最大。第三,房间窗地比、窗的总透射比与DA450平均值之间存在线性关系。采光节能潜力系数k会随窗宽比和窗高比的增大而增大,随着进深的增大而减小,且进深越大,采光节能潜力系数k值的下降趋势会减小。
[Abstract]:China is one of the fastest growing energy demand countries in the world, which has become the second largest energy consumption country after the United States, so it is of great significance to save energy. The utilization of natural light has always been an important aspect of the sustainable development of buildings. It not only can effectively reduce the energy consumption of lighting, but also plays an important role in creating a comfortable and healthy environment. Office building is the main body of public buildings in our country. Considering the scarcity of urban land resources and the popularity of office buildings, the daylighting of large depth and large space is being paid more and more attention. In conclusion, this paper focuses on the relationship between natural lighting and artificial lighting. This topic mainly carries out the research from five aspects: First, the influence factor analysis of side lighting. Firstly, the classification of office buildings is discussed. Secondly, the daylighting forms of office buildings are described. Second, the software analysis part. According to the comparison and analysis of different software, Daysim is chosen as the simulation tool of dynamic lighting and Diva for Rhino as the simulation calculation tool of lighting coefficient. Third, the analysis method of office building daylighting energy saving, analyzes the influence of different factors on the annual lighting level, such as indoor surface reflectance, window total transmittance, orientation, window shape, window height, depth and so on. Fourth, referring to the research method of the GB50034-2013 edition of Building Lighting Design Standard, the collection of office space consisting of 231 rooms is listed. The energy saving potential coefficient k of 231 rooms is studied, and the energy saving potential coefficient k is mainly based on DA450, which describes the energy saving potential of the room in the whole year. Finally, the range of daylighting area is analyzed. The daylighting analysis of this paper is based on the annual daylighting level of the room or building, combining the annual daylighting level with the energy saving analysis. According to the above four aspects of the research, the conclusions of this paper mainly include: First, the lighting and lighting energy-saving problems should be paid attention to. Secondly, it is found that the shape and position of window, the height of building floor and the orientation of the room have the greatest influence on the annual lighting level of the deep room. Thirdly, there is a linear relationship between the window / floor ratio, the total transmittance of the window and the DA450 mean value. The energy saving potential coefficient k will increase with the increase of window width ratio and window height ratio, and decrease with the increase of depth, and the decreasing trend of the coefficient k will decrease with the increase of depth.
【学位授予单位】：中国建筑科学研究院
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU113

【参考文献】