Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration

Likai Wang; Patrick Janssen; Rudi Stouffs

doi:10.52842/conf.ecaade.2023.1.179

Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration

Likai Wang
, Patrick Janssen
, Rudi Stouffs

Department of Architecture

White Lioness Technologies
National University of Singapore

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

4 Citations (Scopus)

Abstract

This paper presents an experimental course focusing on computational design optimization for performance-based building design exploration. The course uses a design system combining a parametric design tool with a cloud-based design evaluation server. The system allows students with no previous parametric modelling skills to conduct a series of complex performance-based design optimizations and subsequently extract knowledge regarding the interrelation between design performance and building form. The paper presents three examples from students’ assignments and their reflections after the use of the system in a design task. The examples demonstrate this course can help early-year students better understand the value and the utility of performance-based design optimization in architectural design.

Original language	English
Title of host publication	Digital Design Reconsidered
Subtitle of host publication	Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023)
Editors	Wolfgang Dokonal, Urs Hirschberg, Gabriel Wurzer, Gabriel Wurzer
Publisher	Education and research in Computer Aided Architectural Design in Europe
Pages	179-188
Number of pages	10
Volume	1
ISBN (Print)	9789491207341
DOIs	https://doi.org/10.52842/conf.ecaade.2023.1.179
Publication status	Published - Sept 2023
Event	41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023 - Graz, Austria Duration: 20 Sept 2023 → 22 Sept 2023

Publication series

Name	Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
ISSN (Print)	2684-1843

Conference

Conference	41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023
Country/Territory	Austria
City	Graz
Period	20/09/23 → 22/09/23

Keywords

Building Performance
Computational Design Education
Design Exploration
Optimization
Parametric Modeling

Access to Document

10.52842/conf.ecaade.2023.1.179

Cite this

Wang, L., Janssen, P., & Stouffs, R. (2023). Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration. In W. Dokonal, U. Hirschberg, G. Wurzer, & G. Wurzer (Eds.), Digital Design Reconsidered: Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) (Vol. 1, pp. 179-188). (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe). Education and research in Computer Aided Architectural Design in Europe. https://doi.org/10.52842/conf.ecaade.2023.1.179

Wang, Likai ; Janssen, Patrick ; Stouffs, Rudi. / Teaching Computational Design Optimization : An experimental course for performance-based building massing exploration. Digital Design Reconsidered: Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) . editor / Wolfgang Dokonal ; Urs Hirschberg ; Gabriel Wurzer ; Gabriel Wurzer. Vol. 1 Education and research in Computer Aided Architectural Design in Europe, 2023. pp. 179-188 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe).

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title = "Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration",

abstract = "This paper presents an experimental course focusing on computational design optimization for performance-based building design exploration. The course uses a design system combining a parametric design tool with a cloud-based design evaluation server. The system allows students with no previous parametric modelling skills to conduct a series of complex performance-based design optimizations and subsequently extract knowledge regarding the interrelation between design performance and building form. The paper presents three examples from students{\textquoteright} assignments and their reflections after the use of the system in a design task. The examples demonstrate this course can help early-year students better understand the value and the utility of performance-based design optimization in architectural design.",

keywords = "Building Performance, Computational Design Education, Design Exploration, Optimization, Parametric Modeling",

author = "Likai Wang and Patrick Janssen and Rudi Stouffs",

note = "Publisher Copyright: {\textcopyright} 2023, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.; 41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023 ; Conference date: 20-09-2023 Through 22-09-2023",

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language = "English",

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Wang, L, Janssen, P & Stouffs, R 2023, Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration. in W Dokonal, U Hirschberg, G Wurzer & G Wurzer (eds), Digital Design Reconsidered: Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) . vol. 1, Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, Education and research in Computer Aided Architectural Design in Europe, pp. 179-188, 41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023, Graz, Austria, 20/09/23. https://doi.org/10.52842/conf.ecaade.2023.1.179

Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration. / Wang, Likai; Janssen, Patrick; Stouffs, Rudi.
Digital Design Reconsidered: Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) . ed. / Wolfgang Dokonal; Urs Hirschberg; Gabriel Wurzer; Gabriel Wurzer. Vol. 1 Education and research in Computer Aided Architectural Design in Europe, 2023. p. 179-188 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

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AU - Wang, Likai

AU - Janssen, Patrick

AU - Stouffs, Rudi

PY - 2023/9

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N2 - This paper presents an experimental course focusing on computational design optimization for performance-based building design exploration. The course uses a design system combining a parametric design tool with a cloud-based design evaluation server. The system allows students with no previous parametric modelling skills to conduct a series of complex performance-based design optimizations and subsequently extract knowledge regarding the interrelation between design performance and building form. The paper presents three examples from students’ assignments and their reflections after the use of the system in a design task. The examples demonstrate this course can help early-year students better understand the value and the utility of performance-based design optimization in architectural design.

AB - This paper presents an experimental course focusing on computational design optimization for performance-based building design exploration. The course uses a design system combining a parametric design tool with a cloud-based design evaluation server. The system allows students with no previous parametric modelling skills to conduct a series of complex performance-based design optimizations and subsequently extract knowledge regarding the interrelation between design performance and building form. The paper presents three examples from students’ assignments and their reflections after the use of the system in a design task. The examples demonstrate this course can help early-year students better understand the value and the utility of performance-based design optimization in architectural design.

KW - Building Performance

KW - Computational Design Education

KW - Design Exploration

KW - Optimization

KW - Parametric Modeling

UR - https://www.scopus.com/pages/publications/85171874239

U2 - 10.52842/conf.ecaade.2023.1.179

DO - 10.52842/conf.ecaade.2023.1.179

M3 - Conference Proceeding

AN - SCOPUS:85171874239

SN - 9789491207341

VL - 1

T3 - Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe

SP - 179

EP - 188

BT - Digital Design Reconsidered

A2 - Dokonal, Wolfgang

A2 - Hirschberg, Urs

A2 - Wurzer, Gabriel

PB - Education and research in Computer Aided Architectural Design in Europe

Y2 - 20 September 2023 through 22 September 2023

ER -

Wang L, Janssen P, Stouffs R. Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration. In Dokonal W, Hirschberg U, Wurzer G, Wurzer G, editors, Digital Design Reconsidered: Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) . Vol. 1. Education and research in Computer Aided Architectural Design in Europe. 2023. p. 179-188. (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe). doi: 10.52842/conf.ecaade.2023.1.179

Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

EvoMass - A design tool for typology-oriented building massing design generation, optimziation, and exploration

Optimization Algorithm for Rapid Sustainable Planning and Design

Cite this

Teaching Computational Design Optimization: An experimental course for performance-based building massing exploration

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Research output

EvoMass - A design tool for typology-oriented building massing design generation, optimziation, and exploration

Activities

Optimization Algorithm for Rapid Sustainable Planning and Design

Cite this