Digitally Designed Airport Terminal Using Wind Performance Analysis

Over the past few decades, digital tools have become indispensable in the field of architecture. The complex design tasks that make up architectural design methods benefit from utilizing advanced simulation software and, consequently, design solutions have become more nature-adapted and site-specific. Computer simulations and performance-oriented design enable us to address global challenges, such as climate change, in the preliminary conceptual design phase. In this paper, an innovative architectural design method is introduced. This method consists of the following: (1) an analysis of the local microclimate, specifically the wind situation; (2) the parametric shape generation of the airport terminal incorporating wind as a form-finding factor; (3) Computational Fluid Dynamics (CFD) analysis; and (4) wind-performance studies of various shapes and designs. A combination of programs, such as Rhinoceros (Rhino), and open-source plug-ins, such as Grasshopper and Swift, along with the post-processing software Paraview, are utilized for the wind-performance evaluation of a case study airport terminal in Reykjavik, Iceland. The objective of this wind-performance evaluation is to enhance the local wind situation and, by employing the proposed architectural shape, to regulate the wind pattern to find the optimal wind flow around the designed building. By utilizing the aforementioned software, or other open-source software, the proposed method can be easily integrated into regular architectural practice.

[1]  Sujit Kumar Dalui,et al.  Wind effects on ‘Z’ plan-shaped tall building: a case study , 2016 .

[3]  Yun Kyu Yi,et al.  Decision support and design evolution: integrating genetic algorithms, CFD and visualization , 2005 .

[4]  Isaac Guedi Capeluto,et al.  Computer-Based Form Generation in Architectural Design — A Critical Review , 2009 .

[5]  Naghmi Shireen,et al.  Interacting with Thousands: A Parametric-Space Exploration Method in Generative Design , 2014, Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA).

[6]  Bje Bert Blocken,et al.  Overview of pressure coefficient data in building energy simulation and airflow network programs , 2009 .

[7]  Maryam Asghari Mooneghi,et al.  Aerodynamic Mitigation and Shape Optimization of Buildings: Review , 2016 .

[8]  Likai Wang,et al.  Toward the wind-related building performative design , 2016 .

[9]  T. Stathopoulos.  Wind and Comfort , 2009 .

[10]  Vignesh and Janssen Patrick Kaushik,et al.  Urban Windflow:Investigating the use of animation software for simulating windflow around buildings , 2015 .

[11]  Jinsoo Kim,et al.  Design Methodology for Street-Oriented Block Housing Considering Daylight and Natural Ventilation , 2018, Sustainability.

[12]  Abdul Razak Sapian,et al.  The Effects of Void on Natural Ventilation Performance in Multi-Storey Housing , 2016 .

[13]  JIN-YEU TSOU.  APPLYING COMPUTATIONAL FLUID DYNAMICS TO ARCHITEC- TURAL DESIGN DEVELOPMENT Strategy and Implementation , 1998 .

[14]  M. Snow,et al.  climate change Adaptation for building Designers: An Introduction , 2011 .

[16]  Angelos Dubor Alexandre Cabay Edouard and Roudsari Mostaph Chronis,et al.  Integration of CFD in Computational Design - An evaluation of the current state of the art , 2017 .

[17]  Kimmo Kuismanen.  Climate-conscious architecture—design and wind testing method for climates in change , 2008 .

[18]  James F. Kerestes.  Design Out of Necessity - Architectural Approach to Extreme Climatic Conditions , 2014 .

[19]  M. Darwish,et al.  The Finite Volume Method in Computational Fluid Dynamics: An Advanced Introduction with OpenFOAM® and Matlab , 2015 .

[20]  Hh Henri Achten,et al.  Parametric wind design , 2018, Frontiers of Architectural Research.

[21]  Welsh,et al.  A COMPARISON OF WIND TUNNEL AND CFD METHODS APPLIED TO NATURAL VENTILATION DESIGN , 1997 .

[22]  Martin Tamke,et al.  Whispering Wind: Digital Practice and the Sustainable Agenda , 2009 .

[23]  Eduardo Bassolino,et al.  Parametric Environmental Climate Adaptive Design: The Role of Data Design to Control Urban Regeneration Project of Borgo Antignano, Naples☆ , 2016 .