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Parametric scripting for early design performance simulation

delete2014-01-01
delete36
PRE
AI
J
Julien Nembrini *
S
Steffen Samberger
G
Guillaume Labelle
DOI:10.1016/j.enbuild.2013.09.044delete
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Abstract

Abstract

En 中文
This paper discusses the advantages of using a coding interface both to describe form and run performance simulations in the context of architectural design. It outlines the relevance of combining recent interest in the design community for parametric scripting with available expert-level Building Performance Simulation. This approach enables designers to address performance-related design questions at the early design stage. Pitfalls when considering non-standard solutions and the potential of the approach to circumvent such difficulties are exemplified through a housing building case study, emphasizing the under-evaluated role of the analysis tool in steering design decisions. To circumvent the difficulty for non-expert users to interpret simulation results and transform them into design moves, the use of sensitivity analysis is proposed for its specific interplay with parametric scripting. Its potential for classifying parameters in order of importance is presented in the context of a design problem. The contribution outlines how providing designers with exploratory tools allows to consider sustainable construction in a systemic manner. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Architectural design
Early design stage
Parametric modelling
Building Performance Simulation
Sensitivity analysis
Passive ventilation
User control

Journal

Energy and Buildings cover
Energy and Buildings
IF:
7.1
Papers:
1.6W
Citations:
6.8W

Organization

E
Ecole Polytechnique Federale de Lausanne
Scholars:
1.7W
Papers: 1.3W
Citations: 25
S
swiss federal institutes of technology domain
Scholars:
9.0W
Papers: 8.0W
Citations: 163
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