Improving building natural ventilation simulation accuracy: calibration of standard k − ε closure coefficients using design of experiment Article Swipe
Qi Li
,
Vin Cent Tai
,
Lip Kean Moey
,
Tze Fong Go
,
Nor Faiza Abd Rahman
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/1372/1/012093
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/1372/1/012093
The objective of this study is to improve the accuracy of the standard k − ε (SKE) turbulence model for natural ventilation simulation, a critical component in the analysis and design of energy-efficient buildings. The methodology involves generating 17 design points for the four closure coefficients ( C ɛ 1 , C ɛ 2 , C µ , σ k ) for the SKE model using 2 k full-factorial design of experiment (DOE) with a centre point. A sheltered single storey-building with windward and leeward openings is modelled and simulated using computational Fluid Dynamics (CFD) to obtain the Root Mean Square Error (RMSE) and Factor of two observation (FAC2) for each design point. Response models for RMSE and FAC2 are then generated, and optimization is employed to maximize FAC2, minimize RMSE, and the combination of both. The results are validated and compared with experimental and simulation data reported in existing literature. The findings indicate that the indoor velocity profiles with closure coefficients obtained by maximizing FAC2 are better aligned with the actual experimental results. Compared with the existing calibration method, the proposed calibration method can yield superior results with fewer sampling points, highlighting the efficiency of the proposed approach. The calibration framework developed in this study can be extended to other simulation scenarios, contributing to the robust and efficient modelling of natural ventilation systems in various contexts. This research presents a novel calibration method for the SKE model in natural ventilation simulation, providing a more accurate and efficient approach compared to existing methods. The results have important implications for researchers and practitioners working in the field of building energy simulation and sustainability.
Related Topics
Concepts
Natural ventilation
Mean squared error
Calibration
Computational fluid dynamics
Closure (psychology)
Design of experiments
Computer science
Simulation
Point (geometry)
Factorial experiment
Building energy simulation
Ventilation (architecture)
Mathematical optimization
Mathematics
Statistics
Energy (signal processing)
Engineering
Mechanical engineering
Energy performance
Geometry
Market economy
Aerospace engineering
Economics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1755-1315/1372/1/012093
- https://iopscience.iop.org/article/10.1088/1755-1315/1372/1/012093/pdf
- OA Status
- diamond
- Cited By
- 1
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400686652
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400686652Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1755-1315/1372/1/012093Digital Object Identifier
- Title
-
Improving building natural ventilation simulation accuracy: calibration of standard k − ε closure coefficients using design of experimentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-01Full publication date if available
- Authors
-
Qi Li, Vin Cent Tai, Lip Kean Moey, Tze Fong Go, Nor Faiza Abd RahmanList of authors in order
- Landing page
-
https://doi.org/10.1088/1755-1315/1372/1/012093Publisher landing page
- PDF URL
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https://iopscience.iop.org/article/10.1088/1755-1315/1372/1/012093/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1755-1315/1372/1/012093/pdfDirect OA link when available
- Concepts
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Natural ventilation, Mean squared error, Calibration, Computational fluid dynamics, Closure (psychology), Design of experiments, Computer science, Simulation, Point (geometry), Factorial experiment, Building energy simulation, Ventilation (architecture), Mathematical optimization, Mathematics, Statistics, Energy (signal processing), Engineering, Mechanical engineering, Energy performance, Geometry, Market economy, Aerospace engineering, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1Per-year citation counts (last 5 years)
- References (count)
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16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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