Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach

The research develops and validates an innovative AI-aided approach integrating generative design (GD) with building information modelling (BIM) to generate integral and compliant energy-efficient residential façade designs automatically and efficiently. Guided by Pragmatism and structured by Design...

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Bibliographic Details
Main Author: Ma, Wei
Format: Thesis
Published: Curtin University 2024
Online Access:http://hdl.handle.net/20.500.11937/97644
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author Ma, Wei
author_facet Ma, Wei
author_sort Ma, Wei
building Curtin Institutional Repository
collection Online Access
description The research develops and validates an innovative AI-aided approach integrating generative design (GD) with building information modelling (BIM) to generate integral and compliant energy-efficient residential façade designs automatically and efficiently. Guided by Pragmatism and structured by Design Research Methodology (DRM), the study addresses four objectives across four publications. The research advances AI-aided, energy-efficient building design, and the GD-BIM approach enhances design efficiency, supporting sustainable practices in architecture.
first_indexed 2025-11-14T11:48:54Z
format Thesis
id curtin-20.500.11937-97644
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:48:54Z
publishDate 2024
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-976442025-04-29T02:47:24Z Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach Ma, Wei The research develops and validates an innovative AI-aided approach integrating generative design (GD) with building information modelling (BIM) to generate integral and compliant energy-efficient residential façade designs automatically and efficiently. Guided by Pragmatism and structured by Design Research Methodology (DRM), the study addresses four objectives across four publications. The research advances AI-aided, energy-efficient building design, and the GD-BIM approach enhances design efficiency, supporting sustainable practices in architecture. 2024 Thesis http://hdl.handle.net/20.500.11937/97644 Curtin University fulltext
spellingShingle Ma, Wei
Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach
title Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach
title_full Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach
title_fullStr Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach
title_full_unstemmed Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach
title_short Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach
title_sort energy-efficient façade design of residential buildings – an innovative bim-based generative design approach
url http://hdl.handle.net/20.500.11937/97644