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基於環境參數的遮陽立面設計

多域集成的衍生設計方式

Performative Self-shading Facade:

Multi-domain optimization through evolutionary design processes

Designer: 陳宗煌

Advisor: Kane Yanagawa 老師 | 蔡耀賢 老師

Keyword: Multi-Domain Integration (MDI), Performance Optimization, Generative, Façade 

隨著可持續發展問題越來越受到建築師的重視,在環境設計領域中有多種模擬軟體可供選擇,然而多數軟體都是後端分析。此外,多數模擬軟體在建模/繪圖的高級階段進行變更時往往比較困難,因此設計師常依賴於從經驗中推斷出的個人判斷,而不是依靠分析數據。
 

本研究的目的是開發一個參數化工作流程,可以將能量模擬數據更多地集成到設計過程中。本文介紹了早期參數化建模性能仿真/優化工作流程的兩個重要特點。首先是多域集成(MDI)的發展。重要的是要了解建築環境和人類所認為的“舒適”是依賴於各種相互關聯的因素。多域集成利用了現有Grasshopper生態系統中已有的各種環境分析插件,並利用已建立的環境關係數據和公式開發了自己的橋樑。其次,應用元啟發式進化求解器,如Galapagos和Octopus插件,進行迭代測試和評估優化。最後,與上鎧鋼鐵公司合作開發設計形體自遮陽的立面,通過國立成功大學建築系的熱測試實驗室進行數據的採集,驗證這一套工作流程的可行性。

研究過程中的挑戰包括現有環境模擬工具和硬件的計算限制。當前3D模型和密集圖案穿孔的幾何復雜性,需要使用簡化的“低多邊形數”替代來進行模擬計算,從而導致模擬中的潛在偏差。相較於實測採集的數據,終端階段的多域形態演化表現高於原始狀態,因此仿真軟件的模擬結果有相對的可信度。

綜上所述,多領域整合在早期階段的參數化建築設計中有為建築設計師提供優化設計解決方案的潛力,這項研究的更進一步的發展可以擴展到包括開發建築師和環境工程師的工作平台,以促進可持續建築設計的發展。

Research on early stage integration of parametric building performance simulation and optimization technology in architectural design computation has seen significant development in the past several years. While the ability to simulate and analyze design solutions has been part of the architectural design tool-set for decades, the inclusion of such simulations into a parametric environment offers a much greater degree of control, allowing for custom integration of multi-domain simulation data and iterative feedback loops for optimization purposes.         
Therefore, the aim of this research is to develop a parametric workflow that allows for greater integration of energy simulation data into the design process. This paper documents two important characteristics of early stage parametric building performance simulation / optimization workflow. Firstly, is the development of Multi-Domain Integration (MDI). It is important to understand that the built environment, and what is “comfortable”, as perceived by human beings, is dependent on various interrelated factors. Multi-Domain Integration takes advantage of various environmental analysis plug-ins already available in the existing Grasshopper ecosystem, and develops custom bridges between them using established environmental relationship data and formulas. Secondly, the application of metaheuristic evolutionary solvers such as the Galapagos and Octopus plug-ins, to iteratively test and evaluate for optimization, as well as inform design parameters. Lastly, a case study of the Multi-Domain Integration optimized self-shading façade prototype developed in collaboration with Shang Kai Steel Company for the thermal testing lab located in the department of Architecture, National Cheng-Kung University, demonstrates the potential of the proposed workflow. After collecting real world data, it is evident that the Multi-Domain Integration method presents relatively optimized results. Challenges to this process include the computational limitations of existing environmental simulation tools and hardware. The geometric complexity of the current 3D model and densely patterned perforations, necessitated that a simplified “low-polygon count” substitute be utilized for simulation calculations, resulting in potential deviation in the simulation. Still real world data collected from the fabricated mock up samples demonstrate parallels between the simulation software results. It is evident that the performance of multi-domain form evolution in the end stages are higher than those in their original states, and that there is a positive correlation between the scale of the fold and radiation gains as well as the rate of opening and the SDA.
In summary, Multi-Domain Integration in early stage parametric building design offers architectural designers the potential to provide optimized design solutions, which take into consideration various aspects of human comfort and building efficiency. The next iteration of this research can be expanded to include the development of a building platform for architects and Engineers to promote the development of the Sustainable Building Design. 

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