Si, F. and Wang, T.H. (2015) Building massing optimisation in early design stage: A performance-driven design based on total sunlight hours evaluation. In: CAADRIA 2015 - 20th International Conference on Computer-Aided Architectural Design Research in Asia: Emerging Experiences in the Past, Present and Future of Digital Architecture. 20th International Conference on Computer-Aided Architectural Design Research in Asia: Emerging Experiences in the Past, Present and Future of Digital Architecture , pp. 583-592. ISBN 9789881902665
Abstract
This paper proposes a performance-driven design workflow based on Total Sunlight Hours evaluation. The objective is to investigate an optimal solution of a building massing design meeting solar radiation criteria as early as in the conceptual design stage. In our paper, such a process is demonstrated through a case study on an Experimental Social Housing project. We illustrate how design constraints are encoded with the evaluation criterion, Total Sunlight Hours (TSH), through an integrated computational workflow. Alongside with such a computation-intensive process, we also experimented with the same design project using a conventional design approach. The advantages and disadvantages of using a performance-driven computational workflow over a conventional design process are discussed and presented. In particular, we examine how a performance-driven design workflow can be integrated within the iterative design process and how human designers interact with computation to investigate optimal design solutions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 All rights reserved and published by The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Apr 2017 10:57 |
Last Modified: | 11 Apr 2017 10:57 |
Status: | Published |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113709 |