Impact of Wind Pressure Coefficients on the Natural Ventilation Effectiveness of Buildings through Simulations
Natural Ventilation Effectiveness (NVE) is a performance metric that quantifies when outdoor airflows can be used as a cooling strategy to achieve indoor thermal comfort. Based on standard ventilation threshold and building energy simulation (BES) models, the NVE relates available and required airfl...
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MDPI AG
2024-09-01
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| author | Nayara Rodrigues Marques Sakiyama Joyce Correna Carlo Felipe Isamu Harger Sakiyama Nadir Abdessemed Jürgen Frick Harald Garrecht |
| author_facet | Nayara Rodrigues Marques Sakiyama Joyce Correna Carlo Felipe Isamu Harger Sakiyama Nadir Abdessemed Jürgen Frick Harald Garrecht |
| author_sort | Nayara Rodrigues Marques Sakiyama |
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| description | Natural Ventilation Effectiveness (NVE) is a performance metric that quantifies when outdoor airflows can be used as a cooling strategy to achieve indoor thermal comfort. Based on standard ventilation threshold and building energy simulation (BES) models, the NVE relates available and required airflows to quantify the usefulness of natural ventilation (NV) through design and building evaluation. Since wind is a significant driving force for ventilation, wind pressure coefficients (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula>) represent a critical boundary condition when assessing building airflows. Therefore, this paper investigates the impact of different <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> sources on wind-driven NVE results to see how sensitive the metric is to this variable. For that, an experimental house and a measurement period were used to develop and calibrate the initial BES model. Four <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> sources are considered: an analytical model from the BES software (i), surface-averaged <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> values for building windows that were calculated with Computational Fluid Dynamics (CFD) simulations using OpenFOAM through a cloud-based platform (ii<sub>a,b,c</sub>), and two databases—AIVC (iii) and Tokyo Polytechnic University (TPU) (iv). The results show a variance among the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> sources, which directly impacts airflow predictions; however, its effect on the performance metric was relatively small. The variation in the NVE outcomes with different <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula>’s was 3% at most, and the assessed building could be naturally ventilated around 75% of the investigated time on the first floor and 60% in the ground floor spaces. |
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| language | English |
| publishDate | 2024-09-01 |
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| spelling | doaj-art-afafc127592b4342913cc011cfecfdce2025-08-20T01:56:05ZengMDPI AGBuildings2075-53092024-09-01149280310.3390/buildings14092803Impact of Wind Pressure Coefficients on the Natural Ventilation Effectiveness of Buildings through SimulationsNayara Rodrigues Marques Sakiyama0Joyce Correna Carlo1Felipe Isamu Harger Sakiyama2Nadir Abdessemed3Jürgen Frick4Harald Garrecht5Institute for Science, Engineering and Technology (ICET), Federal University of the Jequitinhonha and Mucuri Valleys (UFVJM), R. Cruzeiro, 01-Jardim São Paulo, Teófilo Otoni 39803-371, BrazilArchitecture and Urbanism Department (DAU), Federal University of Viçosa (UFV), Av P. H. Rolfs, Viçosa 36570-900, BrazilInstitute for Science, Engineering and Technology (ICET), Federal University of the Jequitinhonha and Mucuri Valleys (UFVJM), R. Cruzeiro, 01-Jardim São Paulo, Teófilo Otoni 39803-371, BrazilTranssolar Energietechnik GmbH, Curiestrasse 2, 70563 Stuttgart, GermanyMaterials Testing Institute (MPA), University of Stuttgart, Pfaffenwaldring 2b, 70569 Stuttgart, GermanyMaterials Testing Institute (MPA), University of Stuttgart, Pfaffenwaldring 2b, 70569 Stuttgart, GermanyNatural Ventilation Effectiveness (NVE) is a performance metric that quantifies when outdoor airflows can be used as a cooling strategy to achieve indoor thermal comfort. Based on standard ventilation threshold and building energy simulation (BES) models, the NVE relates available and required airflows to quantify the usefulness of natural ventilation (NV) through design and building evaluation. Since wind is a significant driving force for ventilation, wind pressure coefficients (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula>) represent a critical boundary condition when assessing building airflows. Therefore, this paper investigates the impact of different <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> sources on wind-driven NVE results to see how sensitive the metric is to this variable. For that, an experimental house and a measurement period were used to develop and calibrate the initial BES model. Four <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> sources are considered: an analytical model from the BES software (i), surface-averaged <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> values for building windows that were calculated with Computational Fluid Dynamics (CFD) simulations using OpenFOAM through a cloud-based platform (ii<sub>a,b,c</sub>), and two databases—AIVC (iii) and Tokyo Polytechnic University (TPU) (iv). The results show a variance among the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> sources, which directly impacts airflow predictions; however, its effect on the performance metric was relatively small. The variation in the NVE outcomes with different <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula>’s was 3% at most, and the assessed building could be naturally ventilated around 75% of the investigated time on the first floor and 60% in the ground floor spaces.https://www.mdpi.com/2075-5309/14/9/2803natural ventilation effectivenesswind pressure coefficientsbuilding energy simulationairflow network |
| spellingShingle | Nayara Rodrigues Marques Sakiyama Joyce Correna Carlo Felipe Isamu Harger Sakiyama Nadir Abdessemed Jürgen Frick Harald Garrecht Impact of Wind Pressure Coefficients on the Natural Ventilation Effectiveness of Buildings through Simulations Buildings natural ventilation effectiveness wind pressure coefficients building energy simulation airflow network |
| title | Impact of Wind Pressure Coefficients on the Natural Ventilation Effectiveness of Buildings through Simulations |
| title_full | Impact of Wind Pressure Coefficients on the Natural Ventilation Effectiveness of Buildings through Simulations |
| title_fullStr | Impact of Wind Pressure Coefficients on the Natural Ventilation Effectiveness of Buildings through Simulations |
| title_full_unstemmed | Impact of Wind Pressure Coefficients on the Natural Ventilation Effectiveness of Buildings through Simulations |
| title_short | Impact of Wind Pressure Coefficients on the Natural Ventilation Effectiveness of Buildings through Simulations |
| title_sort | impact of wind pressure coefficients on the natural ventilation effectiveness of buildings through simulations |
| topic | natural ventilation effectiveness wind pressure coefficients building energy simulation airflow network |
| url | https://www.mdpi.com/2075-5309/14/9/2803 |
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