Supporting Design Decision Making Through Using ParaSIM Framework: Using parametric design approach for improved building energy modelling

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DC I/O 2020 proceeding by ZUHAIR A NASAR, NICHOLAS WEBB, SABEEH LAFTA FARHAN.


Abstract

This article reports on on-going research exploring how architects process, utilize and assess information before translating it into a computational model. This research intends to demystify how “design knowledge” is obtained, used and processed in the age of computation. We conduct this investigation through “energy performance modelling” whereby we create the crucial link between “information” and “modelling” as the two components of computational processing of design knowledge. One of the main contributions of this research will be the development of a more direct link and useful methods for the translation of information into data inputs to support computational thinking and modelling processes.

Keywords

Information Processing, Mental Model, Computational Model, Parametric Design and Thinking, Building Energy Performance (BEP).

Keyphrases

energy performance (202), early design stage (158), parametric design (150), building energy performance (142), building energy (120), energy simulation (115), simulation tool (100), design process (100), building performance (95), design stage (90), computer aided architectural design (80), aided architectural design research (80), design decision (70), parasim framework (70), design alternative (70), energy performance gap (63), comprehensive parametric relation (63), parametric modeling (60), mental model (60), modeling process (50), architectural design (50), design knowledge (50), digital tool (50), design thinking (50), computational model (50), design problem (50), building performance simulation (47), data transformation process (47), design decision making (47), energy simulation tool (47)

Topics

Architecture, Assisted Design Decision Making, Computational and Parametric Geometry, Design Knowledge Capture, Modelling, Optimization, Simulation, Technology.

Reference

DOI: https://doi.org/10.47330/DCIO.2020.ULSX8639

Video Presentation: https://youtu.be/Q9RY0ayzMjI

Full text: Maciel, A. (Ed.), 2020. Design Computation Input/Output 2020, 1st ed. Design Computation, London, UK. ISBN: 978-1-83812-940-8, DOI:10.47330/DCIO.2020.QPRF9890