Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10503
Title: An integrated pipeline for building performance analysis: Daylighting, energy, natural ventilation, and airborne contaminant dispersion
Authors: Abbaş, G.M.
Gürsel, Dino, I.
Perçin, M.
Keywords: Building energy performance
Computational fluid dynamics
Indoor contaminant simulation
Natural ventilation
Tool development
Wind tunnel testing
Architectural design
Energy efficiency
Integration testing
Office buildings
Pipelines
Structural dynamics
Transport properties
Ventilation
Well testing
Wind stress
Wind tunnels
Building energy performance
Building performance
Contaminant simulation
Indoor contaminant simulation
Model-based OPC
Natural ventilation
Shading devices
Tool development
Wind-tunnel testing
Work-flows
Computational fluid dynamics
Issue Date: 2023
Publisher: Elsevier Ltd
Abstract: Early design decisions influence the performance of a building significantly. Yet, computational support for performance assessment during early design is very limited. This research proposes an analysis pipeline for the accurate and comprehensive assessment of building performance by integrating simulation-based analysis tools that perform daylighting, computational fluid dynamics, energy, and contaminant transport simulations, as well as wind tunnel testing that performs velocity and pressure measurements to generate wind pressure coefficients. The pipeline is implemented in three different ways: hybrid, model-based, and empirical workflows. The hybrid workflow combines computational fluid dynamics simulations and wind tunnel testing, while the model-based and empirical workflows utilize computational fluid dynamics simulations and wind tunnel testing, respectively. In the pipeline, computational fluid dynamics is used early on to evaluate a high number of alternatives, leading to the selection of a limited number of good-performing options. Following this, wind tunnel testing is used to “correct” the initial wind pressure coefficient results for increased accuracy. Therefore, a hybrid approach operating with high accuracy that can effectively explore the design search space is needed. The pipeline is tested on a hypothetical office building with different shading device configurations. The coupling of computational and physical testing methods in a hybrid workflow significantly enhanced the accuracy of airflow-related data, which is underestimated by 15.4% using the model-based workflow. Moreover, the hybrid workflow managed the complexity of the design search space by the assessment and elimination of different design alternatives by the stepwise simulation workflow. The inclusion of shading devices also improved the accuracy of airflow-related data. If the shading devices had not been modeled for the simulations and had not been tested, the results would have overestimated the ventilation rate by 85% and underestimated the ventilation rate by 1.4%, respectively. The study's contribution is significant as it proposes a pipeline for a more accurate and comprehensive assessment of building performance, which can inform design decisions and improve the overall building's performance. © 2023 The Authors
URI: https://doi.org/10.1016/j.jobe.2023.106991
https://hdl.handle.net/20.500.11851/10503
ISSN: 2352-7102
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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