Building Form and Massing of Lightweight Steel Frame Micro-house Performance

This data set provide an experiment of building form of LSF micro-house between I (1) shape and L (2) shape with WWR (wall window ratio) and different orientation. Building form and massing exploration using generative algorithms without programming or scripting requirements, since its graphical algorithms editor integrated with Rhino’s 3-D modeling tools. Meanwhile, by adding Ladybug and Honeybee plug-ins for Grasshopper® it can help the assessment of an environmentally architectural design. Those data imported by Ladybug and analyzed through Grasshopper, later it can generate the weather diagram/metric for climate analysis such as sun-path, wind-rose, radiation rose, and shadow pattern. The next step, Ladybug will interpret the thermal comfort perception by adding the input of clothing insulation and metabolic rate data. This plug-ins uses PMV index to calculate the indoor thermal comfort and shown by color degradation of red which means hot and blue which means cold. In this experiment, the clo = 0.6 (casual summer) and the met = seating (typically activity at home)本数据集围绕I型（1）与L型（2）的LSF微型住宅，开展结合窗墙比（wall window ratio, WWR）与不同朝向的建筑形式构建实验。本实验依托集成于Rhino三维建模工具的图形化算法编辑器，无需编写代码或脚本即可借助生成式算法开展建筑形式与体量探索。同时，通过为Grasshopper®添加Ladybug与Honeybee插件，可辅助完成建筑环境设计评估。相关数据由Ladybug导入并经Grasshopper分析后，可生成用于气候分析的气象图表/指标，包括太阳路径图、风玫瑰图、辐射玫瑰图与阴影图案。进一步而言，Ladybug可通过输入服装热阻与代谢率数据，实现人体热舒适感知的解读。该类插件采用PMV指数计算室内热舒适程度，并以色彩渐变呈现结果：红色代表炎热环境，蓝色代表寒冷环境。本实验中，服装热阻clo取值为0.6（对应夏季日常着装），代谢率met取值为静坐状态（居家典型活动场景）。