成功大學博碩士論文系統

簡易檢索 / 詳目顯示

回結果列表

研究生：	陳宗煌 Chen, Tsung-Huang
論文名稱：	形式追隨能量_基於環境參數的遮陽立面設計 Performative Self-shading Facade: Multi-Domain Integration optimization through evolutionary design processes
指導教授：	蔡耀賢 Tsay, Yaw-Shyan 柳川肯 Kane Yanagawa
學位類別：	碩士 Master
系所名稱：	規劃與設計學院 - 建築學系 Department of Architecture
論文出版年：	2018
畢業學年度：	106
語文別：	英文
論文頁數：	49
中文關鍵詞：	多域集成、性能優化、衍生設計、參數化設計、立面遮陽設計
外文關鍵詞：	Multi-Domain Integration (MDI), Performance Optimization, Generative algorithm (GA), Parametric Design, Facade Shading Design
相關次數：	點閱：131 下載：12
分享至:	分享至facebook 分享至twitter

查詢本校圖書館目錄查詢臺灣博碩士論文知識加值系統勘誤回報

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，在建模、繪圖的后期階段進行變更時往往比較困難，因此建築設計過程中建築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以及優化工作流程的兩個重要特點。首先，多域集成（MDI）的發展主要是協助建築師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平台中已有的各種環境分析插件，並重新結合了相關的環境關係數據和公式。其次，應用元啟發式進化求解器，如Galapagos和Octopus，進行迭代測試和評估優化。最後，作者與上鎧鋼鐵公司合作開發設計形體自遮陽的立面，通過國立成功大學永續建築設計工學研究室的實驗室進行數據的採集，驗證這一套工作流程的可行性。

Building performance simulation and optimization technology in building design computation has been significant development in the past several years. Traditional iteration between generation and optimization depends on respectively synthesis and analysis. The integrated process of multi-domain simulation for optimization purposes gain successive iterations, it more effective and flexible for architects to achieve the better environment design and energy savings.
This paper attempts to develop a parametric workflow that allows for greater integration of energy simulation data into the design process. Besides, the prototype of a self-shading facade built in a thermal testing lab located in N.C.K.U had been measured to collect the data of daylight level. The data from the actual measure were be used to demonstrate potential of the proposed workflow.

The issue and research perspective	                5
1 Low Carbon Development	                        5
2 Building Thermodynamics	                        5
3 Parametric design tool	                        6
4 Research perspective	                        6
Literature Review and case analysis	                8
1 Form follows performance	                        8
1.1 Computational Performance-Driven Design Optimization                                            8
2 The performance of building envelope considered with environmental challenge                                11
2.1 Performance oriented envelope systems, Dynamic or static?	                                               11
2.2 Daylight design relevance for building’s energy efficiency	                                       14
3 The overview of CPDO tools on grasshopper	       14
The methodology of MDIO	                       16
1 Multi-Domain Integration	                       17
1.1 Daylight simulation	                       19
1.2 Transmittance simulation	               19
1.3 Adaptive comfortable model	               20
2 Optimization Method	                       21
MDIO Self-shading Facade design	               23
1 Weather analysis on Tainan, Taiwan	               23
2 Self-shading envelope design	               25
2.1 Module design	                               25
2.2 Assembly proposal  	                       27
3 MDIO Model	                                       27
3.1 Performance optimization results	       29
3.2 Daylight visualization analysis	               31
3.3 Thermal comfortable analysis	               31
4 Implementation	                               33
4.1 Unit fabrication	                       33
4.1.1 Manufacture – shading module made of aluminum	 
                                                       35
4.1.2 Manufacture – shading module made of extended metal mesh	                                       35
4.2 Experiment process	                       37
4.2.1 Experiment Purpose and method	       37
4.2.2 Experiment results analysis	               38
Conclusion	                                       41
Discussion	                                       42
Reference	                                       43
Appendix                                            45
                                    

1.Form follows performance—Enlightened from Architectural Digital Technology Development in Europe，architecture journal,2014,issue058,pp.6-13

2.Merriam-Webster’s Collegiate Dictionary, 10th Edition. Springfield: Merriam-Webster Incorporated, 1997

3.GhaffarianHoseini, A.H.; Dahlan, N.D.; Berardi, U.; GhaffarianHoseini, A.; Makaremi, N.;GhaffarianHoseini, M. Sustainable energy performances of green buildings: A review of current theories, implementations and challenges. Renew. Sustain. Energy Rev. 2013, 25, 1–17.

4.Eleftheria Touloupaki, Theodoros Theodosiou,Performance simulation integrated in parametric 3D modeling as a method for early stage design optimization - A review, Energies 2017, 10, 637

5.Shi, X.; Tian, Z.; Chen,W.; Si, B.; Jin, X. A review on building energy efficient design optimization from the perspective of architects. Renew. Sustain. Energy Rev. 2016, 65, 872–884.

6.Syed, Asif. Advanced building technologies for sustainability. Hoboken, N.J.: John Wiley & Sons, Inc., 2012. 115. Print.

7.Form Follows Environment: Biomimetic Approaches to Building Envelope Design for Environmental Adaptation

8.P.C. Chou, C.M. Chiang, K.F. Chang, Y.Y. Lia, N.T. Chen, Criteria for design of indoor environment in sustainable buildings, Proceedings of Healthy Buildings. (2003) 597–602.

9.Jabi, W. Parametric spatial models for energy analysis in the early design stages. In Proceedings of the
Symposium on Simulation for Architecture and Urban Design, Tampa, FL, USA, 13–16 April 2014; Volume 46,pp. 110–117.

10.Straube, J.F., Burnett, E.F.P. Building Science for Building Enclosures. Building Science Press, Westford, 2005.

11.Z.C. Tiana,b.Building Energy Optimization Tools and Their Applicability in Architectural Conceptual Design Stage, 6th International Building Physics Conference, IBPC 2015

12.Michael Gibson, Kevin R. Klinger, Joshua Vermillion. Constructing Information towards a Feedback Ecology in Digital Design and Fabrication. ACADIA, Minneapolis 16-19 October 2008, 182-191

13.David Jason Gerber, Shih-Hsin Eve Lin, Synthesizing Design Performance: AN EVOLUTIONARY APPROACH TO MULTIDISCIPLINARY DESIGN SEARCH, ACADIA, 2012

14.Mohamed-Anis Gallas1, Gilles Halin2, DaylightGen: From Daylight Intentions to Architectural Solutions. eCAADe 31, Computation and Performance - Volume 2 - Performative Design

15.Yassin ashour. Heuristic optimization in design. ACADIA 2015 computational ecologies.

16.Michael Leighton Beaman. Responsive shading intelligent facade systems. ACADIA,2010,412:263-269

17.Robert vierlinger. Multi objective design interface. Researchgate, April 2013

18.J.Alstan Jakubiec and Christoph reinhart. Diva 2.0: integrating daylight and thermal simulations using rhinoceros 3D, Daysim and Energyplus. Proceedings of building simulation[ C].12TH conference of international building performance simulation association,sydney,14-16 November, 2011

校內：立即公開
校外：立即公開

簡易檢索 / 詳目顯示

相關論文