ARCH655 - Parametric Modeling in Design_ Project 2_ 2015 Spring

ARCH655 - Parametric Modeling in Design_ Project 2_ 2015 Spring

Objective

Previous project dealt with active building modeling for adaptable facades. The limitation of the project was that individual panel could not have independent movement. Thus, the goal of project 2 to is to develop a method for active building with adaptable facades which can response to climate changes independently integrating with daylighting analysis and genetic algorithm. 

Modeling

To conduct daylighting analysis, base case is developed based on previous modeling method. Figure 1 shows a base case for this project. Each panel has different thickness meaning that the opening ratio of each panel varies. Figure 2, 3 and 4 shows thickness of each panel and opening ratio. The opening ratio can be defined based on a list of the values. In addition, the use of python is more efficient way in order to define the independent opening ratio (figure 5).

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Fig 5

By using Ladybug in Grasshopper, the Sun path can be easily integrated with the opening ratio so that the incident angle of each panel can be calculated automatically. This angle is employed to define opening ratio. Figure 6 shows the Sun path in Abu Dhabi and the Sun’s vector at 5pm Dec 21, and figure 7, 8, and 9 demonstrates the openings of the facades at 9 am, noon, and 5 pm Dec 21. The movement of the facades can be changed based on the Sun’s movement.

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Daylighting Analysis

Figure 10 shows daylighting study with fully closed facades using Diva. By integrating the Sun path and daylighting, the daylighting analysis of the proposed method can be conducted simultaneously (figure 11 and 12).     

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Optimization

Based on the results of daylighting analysis, the opening ratio of each panel can be optimized. In case of independent variables, the number of panel can be the number of variables. In this study, the objective is to maximize the number of illuminance nodes range from 300 lx to 1500 lx at 5 pm Dec 21 in Abu Dhabi. Figure 13 shows the result of optimization. However, this is not a good way due to a large number of variables. To reduce the number of variables, two variables are used in order to develop pattern of the facades (figure 14).  

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Fig 14