Uncertainty quantification of upstream wind effects on single-sided ventilation in a building using generalized polynomial chaos method

Sun, Xiaonan; Park, Jinsoo; Choi, Jung Il; Rhee, Gwang Hoon

doi:10.1016/j.buildenv.2017.08.037

Cited by 11 publications

(5 citation statements)

References 40 publications

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“…The maximum ventilation rate occurs for the windward opening with an oblique wind direction in which case the external air can easily enter the building through the opening. The ventilation rate of shear ventilation rate is generally lower than the windward and leeward ventilation but the ventilation rate of leeward opening is slightly larger than the windward opening when the wind direction is perpendicular to the opening face [20,24,46,51]. As mentioned in Section 2.2, the eddy penetration is a main contributor in shear ventilation and the eddy penetration could be zero for windward opening when the wind direction is normal to the opening due to zero parallel wind velocity [39].…”

Section: Upstream Windmentioning

confidence: 92%

“…It may be due to the much lower computation expense and requirement despite of the relative inaccuracy compared with LES. Various turbulence models have been tried in RANS simulations in order to predict closer results with the LES and experimental results, such as the Standard [29,30,33,51,67,81], BSL [54,57,62,63], RNG [41, 42, 45, 60, 73, 74, 81, 84, ] k-ε models and SST k-ω model [22,46,50]. RNG k-ε model is a better choice for the simulation of the SSV ventilation rate and air distribution inside the buildings though all k-ε models fail to correctly determine the velocity components near the horizontal surfaces [81].…”

Section: Cfd Simulationsmentioning

confidence: 99%

See 1 more Smart Citation

Single-sided natural ventilation in buildings: a critical literature review

Zhong

Sun

Shang

et al. 2022

Building and Environment

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Section: Upstream Windmentioning

confidence: 92%

Section: Cfd Simulationsmentioning

confidence: 99%

Single-sided natural ventilation in buildings: a critical literature review

Zhong

Sun

Shang

et al. 2022

Building and Environment

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“…This approach can be inaccurate since it employs a discharge coefficient (C d ) that is usually assumed to be constant (0.61), but that is affected by installation effects in reality (Karava et al, 2004). The second approach calculates the ventilation flow rate by integrating the time-averaged normal velocity through the openings (Jiang and Chen, 2001;Caciolo et al, 2012;Sun et al, 2017). It eliminates the uncertainty due to C d , but the use of the time-averaged velocity field can still yield inaccurate predictions when ventilation is driven by turbulent fluctuations at the openings (Jiang and Chen, 2001).…”

Section: Introductionmentioning

confidence: 99%

Large-Eddy Simulations of Wind-Driven Cross Ventilation, Part 2: Comparison of Ventilation Performance Under Different Ventilation Configurations

Hwang

Gorlé²

2022

Front. Built Environ.

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Natural ventilation can contribute to a sustainable and healthy built environment, but the flow can be highly dependent on the ventilation configuration and the outdoor turbulent wind conditions. As a result, quantifying natural ventilation flow rates can be a challenging task. Wind tunnel experiments offer one approach for studying natural ventilation, but measurements are often restricted to a few points or planes in the building, and the data can have limitations due to the intrusive nature of measurement techniques or due to challenges with optical access. Large-eddy simulations (LES) can offer an effective alternative for analyzing natural ventilation flow, since they can provide a precise prediction of turbulent flow at any point in the computational domain and enable accurate estimates of different ventilation measures. The objective of this study is to use a validated LES set-up to investigate the effect of the opening size, opening location and wind direction on the ventilation flow through an isolated building. The effects are quantified in terms of time-averaged and instantaneous ventilation flow rates, age of air, and ventilation efficiency. The LES results indicate that, for this isolated building case, the effect of the wind direction is more pronounced than the effect of the size and position of the ventilation openings. Importantly, when ventilation is primarily driven by turbulent fluctuations, e.g. for the 90° wind direction, an accurate estimation of the ventilation rate requires knowledge of the instantaneous velocity field.

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“…Probabilistic approaches were introduced in building physics by Hokoi and Matsumoto [4]. Subsequently, a variety of methods for probabilistic assessment have been employed [5][6][7][8][9][10][11][12][13][14]. A comprehensive review on uncertainty analysis in building energy assessment is presented in [15], where it is concluded that uncertainty analysis is on the verge of becoming the primary approach in building energy assessment.…”

Section: Introductionmentioning

confidence: 99%

Model order reduction for efficient deterministic and probabilistic assessment of building envelope thermal performance

Hou

Roels

Janssen

2020

Energy and Buildings

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To lessen the computational expense of building energy simulations, the potential of model order reduction methods for assessing building envelope thermal performance is assessed, through both deterministic and probabilistic case studies of modelling heat transfer through a massive masonry wall. More specifically, two model order reduction methodsproper orthogonal decomposition (POD) and proper generalized decomposition (PGD)are investigated: therefore their calculation accuracies and computational costs are compared with a standard finite element method (FEM). The outcomes show that the POD model strongly outperforms the PGD and FEM models when deterministically simulating wall heat transfer. Additionally, the use of POD to simulate a problem differing from the training simulation can provide an accurate result, and hence the robustness and flexibility of POD is confirmed. This advantage thus expands the application scope of POD for simulating building envelope thermal performance with variable input parameters, rendering it excellent to replace a time-consuming original model in the probabilistic analysis. For the probabilistic case study, it is shown that the sampling errors are much more dominant in the accuracy, implying that the deterministic accuracy of the different models plays a much smaller role, and hence has a very limited effect on the overall convergence behavior of different models. Therefore, the use of POD with a smaller number of modes is strongly suggested in probabilistic analyses to reduce the overall computational expense as much as possible.

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Uncertainty quantification of upstream wind effects on single-sided ventilation in a building using generalized polynomial chaos method

Cited by 11 publications

References 40 publications

Single-sided natural ventilation in buildings: a critical literature review

Single-sided natural ventilation in buildings: a critical literature review

Large-Eddy Simulations of Wind-Driven Cross Ventilation, Part 2: Comparison of Ventilation Performance Under Different Ventilation Configurations

Model order reduction for efficient deterministic and probabilistic assessment of building envelope thermal performance

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