id |
ijac202220104 |
authors |
Wang, Likai |
year |
2022 |
title |
Workflow for applying optimization-based design exploration to early-stage architectural design – Case study based on EvoMass |
source |
International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 41–60 |
summary |
The role of optimization-based design exploration in early-stage architectural design has been increasingly recognized and valued. It has been widely considered an effective approach to achieving performance- informed and performance-driven design. Nevertheless, there is little research into how such design ex- ploration can be adapted to various early-stage architectural design tasks. With this motivation, this paper revolves around a computer-aided design workflow for early-stage building massing design optimization and exploration while presenting three workshop case studies to demonstrate how the workflow can be in- tertwined with the design process. The design workflow is based on EvoMass, an integrated building massing design generation and optimization tool in Rhino-Grasshopper. The case study illustrates task-specific applications of the design workflow for synthesizing building design, finding design precedents, and un- derstanding the interrelationship between formal attributes and building performance. The paper concludes by discussing the relevant efficacy of the design workflow for architectural design. |
keywords |
Performance-based design, design workflow, design exploration, early design stage, parametric design, optimization |
series |
journal |
references |
Content-type: text/plain
|
Akin O and Moustapha H. (2004)
Strategic use of representation in architectural massing.
, Des Stud; 25: 31–50.
|
|
|
|
Attia S, Hamdy M, O’Brien W, et al. (2013)
Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design
, Energy Build; 60: 110–124.
|
|
|
|
Bradner E, Iorio F and Davis M. (2014)
Parameters tell the design story: ideation and abstraction in design optimization.
, 2014 Proceedings of the Symposium on Simulation for Architecture & Urban Design. Tampa, Florida: Society for Computer Simulation International, pp. 172–197.
|
|
|
|
Brown NC and Mueller CT. (2019)
Design variable analysis and generation for performance-based parametric modeling in architecture.
, Int J Archit Comput; 17: 36–52.
|
|
|
|
Brown NC, Jusiega Vand Mueller CT. (2020)
Implementing data-driven parametric building design with a flexible toolbox
, Autom Constr; 118: 103252.
|
|
|
|
Chen KW, Choo TS and Norford L. (2019)
Enabling algorithm-assisted architectural design exploration for computational design novices.
, Comput Des Appl; 16: 269–288.
|
|
|
|
Chen KW, Janssen P and Schlueter A. (2018)
Multi-objective optimisation of building form, envelope and cooling system for improved building energy performance
, Autom Constr; 94: 449–457.
|
|
|
|
Chen Y, Lu Y, Gu T, Bian Z, Wang L and Tong Z. (2022)
From Separation to Incorporation - A Full-Circle Application of Computational Approaches to Performance-Based Architectural Design
, Springer Singapore, pp. 189–198, ISBN: 9789811659836. https://doi.org/10.1007/978-981-16-5983-6.
|
|
|
|
Cristie V and Joyce SC. (2021)
Versioning for parametric design exploration process.
, Autom Constr; 129: 103802.
|
|
|
|
DeKay M and Brown GZ. (2013)
Sun, wind, and light: architectural design strategies
, Hoboken: John Wiley & Sons.
|
|
|
|
Eckert C and Stacey M. (2000)
Sources of inspiration: a language of design.
, Des Stud; 21: 523–538.
|
|
|
|
González J and Fiorito F. (2015)
Daylight design of office buildings: optimisation of external solar shadings by using combined simulation methods.
, Buildings; 5: 560–580.
|
|
|
|
Harding J, Joyce S, Shepherd P, et al. (2012)
Thinking topologically at early stage parametric design.
, Advances in Architectural Geometry. Vienna: Springer Vienna, pp. 67–76.
|
|
|
|
Harding JE and Shepherd P. (2017)
Meta-parametric design.
, Des Stud; 52: 73–95.
|
|
|
|
Janssen P. (2005)
A design method and computational architecture for generating and evolving building designs
, Hong Kong: The Hong Kong Polytechnic University.
|
|
|
|
Kilian A. (2006)
Design innovation through constraint modeling
, Int J Archit Comput; 4: 87–105.
|
|
|
|
Knowles RL. (2003)
The solar envelope: its meaning for energy and buildings
, Energy Build; 35: 15–25.
|
|
|
|
Natanian J and Wortmann T. (2021)
Simplified evaluation metrics for generative energy-driven urban design: a mor- phological study of residential blocks in Tel Aviv
, Energy Build; 240: 110916.
|
|
|
|
Nault E, Waibel C, Carmeliet J, et al. (2018)
Development and test application of the UrbanSOLve decision-support prototype for early-stage neighborhood design
, Build Environ; 137: 58–72.
|
|
|
|
Negendahl K and Nielsen TR. (2015)
Building energy optimization in the early design stages: a simplified method
, Energy Build; 105: 88–99.
|
|
|
|
last changed |
2024/04/17 14:29 |
|