A multi-objective window placement approach using BIM and surrogate model
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Article number | 100578 |
Journal / Publication | Developments in the Built Environment |
Volume | 20 |
Online published | 22 Nov 2024 |
Publication status | Published - Dec 2024 |
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DOI | DOI |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85210132359&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(bf56a0a5-7c4a-4e4a-ba7b-e7020eb71622).html |
Abstract
Conventional expertise-based approaches yield less-than-optimal window placement schemes (WPSs). The simulation-based window placement approaches (e.g., EnergyPlus) also suffer from being time-consuming. This study newly proposes a multi-objective window placement approach that can optimize WPSs under multiple objectives with high efficiency. It includes (i) transforming WPS-related building information from BIM's IFC to EnergyPlus's IDF, (ii) developing a surrogate model for WPS performance assessment, and (iii) optimizing WPSs under multiple objectives. The proposed approach is demonstrated using a dormitory building in Beijing, showcasing its ability to rapidly derive Pareto frontiers of optimized WPSs assuming different objective weightings. Compared to expertise-based methods, it shows a 30.66% and 16.47% performance enhancement for flexible-sized and fixed-sized window placements. Compared to simulation-based methods, it reduces time consumption by 98.10% while maintaining 94.3% accuracy in the case study. This study provides a well-performing and highly efficient window placement approach, making large-scale WPS optimizations feasible for designers. © 2024 The Authors
Research Area(s)
- BIM, Multi-objective optimization, Surrogate model, Window placement
Citation Format(s)
A multi-objective window placement approach using BIM and surrogate model. / Zhou, Shenghua; Man, Xinru; Li, Dezhi et al.
In: Developments in the Built Environment, Vol. 20, 100578, 12.2024.
In: Developments in the Built Environment, Vol. 20, 100578, 12.2024.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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