The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform
Francine Battaglia - One of the best experts on this subject based on the ideXlab platform.
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numerical investigation of Gaseous Pollutant cross transmission for single sided natural ventilation driven by buoyancy and wind
Building and Environment, 2020Co-Authors: Jihong Wang, Tengfei Zhang, Shugang Wang, Qiannan Huo, Francine BattagliaAbstract:Abstract Single-sided natural ventilation was numerically investigated to determine the impact of buoyancy and wind on the cross-transmission of pollution by considering six window types commonly found in multistory buildings. The goal of this study was to predict the Gaseous Pollutant transmission using computational fluid dynamics based on the Reynolds-averaged Navier-Stokes equations and baseline k-ω turbulence equations. The results indicated that ventilation rates generally increased with increasing wind speeds if the effects of buoyancy and wind were not suppressed; however, the re-entry ratio representing the proportion of expelled air re-entering other floors and the corresponding risk of infection decreased. If the source of the virus was on a central floor, the risk of infection was the highest on the floors closest to the source. Different window types were also considered for determining their effectiveness in controlling cross-transmission and infection risk, depending on the source location and driving force (e.g., buoyancy and wind).
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Gaseous Pollutant transmission through windows between vertical floors in a multistory building with natural ventilation.
Energy and buildings, 2017Co-Authors: Jihong Wang, Tengfei Zhang, Shugang Wang, Francine BattagliaAbstract:Abstract Natural ventilation is an effective strategy to control thermal comfort in buildings, and can be enhanced depending on the window style. The combination of natural ventilation and window can also facilitate the removal or dilution of Gaseous Pollutants from indoor sources in newly decorated buildings. However, the windows on the same facade may cause Gaseous Pollutant cross-transmission during single-sided natural ventilation between households on different floors close to the source. Although some research has focused on the Pollutant cross-transmission in buildings, the simplification of windows into rectangular openings often affects accurate knowledge of Pollutant transmission characteristics. Therefore, this investigation explored Gaseous Pollutant cross-transmission through real windows during single-sided, buoyancy-driven ventilation in a multistory building. Six types of windows were modeled for the indoor Pollutant of Gaseous formaldehyde (HCHO). Computational fluid dynamics (CFD) was utilized to solve characteristics of Pollutant transmission inside and outside the multistory building. The results indicated that the ventilation rates, thermal profiles and Pollutant transmission inside and outside the building varied for each window type, although the open window areas were identical. The re-entry ratio of exhausted air entering upper floors and the infection risk of epidemic viruses caused by airborne cross-transmission was sensitive to ventilation rates and window configurations, while the sensitivities for window configurations varied case by case. The comparisons also revealed that the specification of ambient temperature and Pollutant release rate ultimately did not affect the evaluation of Pollutant cross-transmission using CFD.
Shugang Wang - One of the best experts on this subject based on the ideXlab platform.
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numerical investigation of Gaseous Pollutant cross transmission for single sided natural ventilation driven by buoyancy and wind
Building and Environment, 2020Co-Authors: Jihong Wang, Tengfei Zhang, Shugang Wang, Qiannan Huo, Francine BattagliaAbstract:Abstract Single-sided natural ventilation was numerically investigated to determine the impact of buoyancy and wind on the cross-transmission of pollution by considering six window types commonly found in multistory buildings. The goal of this study was to predict the Gaseous Pollutant transmission using computational fluid dynamics based on the Reynolds-averaged Navier-Stokes equations and baseline k-ω turbulence equations. The results indicated that ventilation rates generally increased with increasing wind speeds if the effects of buoyancy and wind were not suppressed; however, the re-entry ratio representing the proportion of expelled air re-entering other floors and the corresponding risk of infection decreased. If the source of the virus was on a central floor, the risk of infection was the highest on the floors closest to the source. Different window types were also considered for determining their effectiveness in controlling cross-transmission and infection risk, depending on the source location and driving force (e.g., buoyancy and wind).
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Gaseous Pollutant transmission through windows between vertical floors in a multistory building with natural ventilation.
Energy and buildings, 2017Co-Authors: Jihong Wang, Tengfei Zhang, Shugang Wang, Francine BattagliaAbstract:Abstract Natural ventilation is an effective strategy to control thermal comfort in buildings, and can be enhanced depending on the window style. The combination of natural ventilation and window can also facilitate the removal or dilution of Gaseous Pollutants from indoor sources in newly decorated buildings. However, the windows on the same facade may cause Gaseous Pollutant cross-transmission during single-sided natural ventilation between households on different floors close to the source. Although some research has focused on the Pollutant cross-transmission in buildings, the simplification of windows into rectangular openings often affects accurate knowledge of Pollutant transmission characteristics. Therefore, this investigation explored Gaseous Pollutant cross-transmission through real windows during single-sided, buoyancy-driven ventilation in a multistory building. Six types of windows were modeled for the indoor Pollutant of Gaseous formaldehyde (HCHO). Computational fluid dynamics (CFD) was utilized to solve characteristics of Pollutant transmission inside and outside the multistory building. The results indicated that the ventilation rates, thermal profiles and Pollutant transmission inside and outside the building varied for each window type, although the open window areas were identical. The re-entry ratio of exhausted air entering upper floors and the infection risk of epidemic viruses caused by airborne cross-transmission was sensitive to ventilation rates and window configurations, while the sensitivities for window configurations varied case by case. The comparisons also revealed that the specification of ambient temperature and Pollutant release rate ultimately did not affect the evaluation of Pollutant cross-transmission using CFD.
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inverse identification of multiple temporal sources releasing the same tracer Gaseous Pollutant
Building and Environment, 2017Co-Authors: Yun Wei, Tengfei Zhang, Hongbiao Zhou, Shugang WangAbstract:Abstract When an accidental release of indoor airborne Pollutants occurs, it is critical to promptly identify the Pollutant sources. Current inverse models concentrate on the identification of a single Pollutant source or multiple Pollutant sources in a simplified puff or constant release scenarios. This investigation proposes an inverse model to precisely determine the locations and temporal release rate profiles of multiple sources releasing the same tracer Gaseous Pollutant. The model first constitutes a number of candidate group sources by assuming known release positions. Then Tikhonov-based matrix inversion is implemented to solve for the release rate profiles of each candidate group of sources. The concentrations provided by the sensors in the same number of the isolated sources are the known inputs for the matrix inversion. As for the multiple candidate group sources, the occurrence probability of each group is determined by the Bayesian model after matching the concentration with one additional sensor. The above strategy was applied to identify the same Pollutant accidentally released by two passengers in a three-dimensional aircraft cabin. The Pollutant was from the exhalation points and discharged in an intermittent sinusoidal wave and a square wave of ten seconds, respectively. The results show that the proposed method can correctly determine the locations of multiple temporally released sources. The relative errors between the inversely identified release rates and the CFD-simulated actual rates are generally less than 15%.
Jihong Wang - One of the best experts on this subject based on the ideXlab platform.
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numerical investigation of Gaseous Pollutant cross transmission for single sided natural ventilation driven by buoyancy and wind
Building and Environment, 2020Co-Authors: Jihong Wang, Tengfei Zhang, Shugang Wang, Qiannan Huo, Francine BattagliaAbstract:Abstract Single-sided natural ventilation was numerically investigated to determine the impact of buoyancy and wind on the cross-transmission of pollution by considering six window types commonly found in multistory buildings. The goal of this study was to predict the Gaseous Pollutant transmission using computational fluid dynamics based on the Reynolds-averaged Navier-Stokes equations and baseline k-ω turbulence equations. The results indicated that ventilation rates generally increased with increasing wind speeds if the effects of buoyancy and wind were not suppressed; however, the re-entry ratio representing the proportion of expelled air re-entering other floors and the corresponding risk of infection decreased. If the source of the virus was on a central floor, the risk of infection was the highest on the floors closest to the source. Different window types were also considered for determining their effectiveness in controlling cross-transmission and infection risk, depending on the source location and driving force (e.g., buoyancy and wind).
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Gaseous Pollutant transmission through windows between vertical floors in a multistory building with natural ventilation.
Energy and buildings, 2017Co-Authors: Jihong Wang, Tengfei Zhang, Shugang Wang, Francine BattagliaAbstract:Abstract Natural ventilation is an effective strategy to control thermal comfort in buildings, and can be enhanced depending on the window style. The combination of natural ventilation and window can also facilitate the removal or dilution of Gaseous Pollutants from indoor sources in newly decorated buildings. However, the windows on the same facade may cause Gaseous Pollutant cross-transmission during single-sided natural ventilation between households on different floors close to the source. Although some research has focused on the Pollutant cross-transmission in buildings, the simplification of windows into rectangular openings often affects accurate knowledge of Pollutant transmission characteristics. Therefore, this investigation explored Gaseous Pollutant cross-transmission through real windows during single-sided, buoyancy-driven ventilation in a multistory building. Six types of windows were modeled for the indoor Pollutant of Gaseous formaldehyde (HCHO). Computational fluid dynamics (CFD) was utilized to solve characteristics of Pollutant transmission inside and outside the multistory building. The results indicated that the ventilation rates, thermal profiles and Pollutant transmission inside and outside the building varied for each window type, although the open window areas were identical. The re-entry ratio of exhausted air entering upper floors and the infection risk of epidemic viruses caused by airborne cross-transmission was sensitive to ventilation rates and window configurations, while the sensitivities for window configurations varied case by case. The comparisons also revealed that the specification of ambient temperature and Pollutant release rate ultimately did not affect the evaluation of Pollutant cross-transmission using CFD.
Tengfei Zhang - One of the best experts on this subject based on the ideXlab platform.
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numerical investigation of Gaseous Pollutant cross transmission for single sided natural ventilation driven by buoyancy and wind
Building and Environment, 2020Co-Authors: Jihong Wang, Tengfei Zhang, Shugang Wang, Qiannan Huo, Francine BattagliaAbstract:Abstract Single-sided natural ventilation was numerically investigated to determine the impact of buoyancy and wind on the cross-transmission of pollution by considering six window types commonly found in multistory buildings. The goal of this study was to predict the Gaseous Pollutant transmission using computational fluid dynamics based on the Reynolds-averaged Navier-Stokes equations and baseline k-ω turbulence equations. The results indicated that ventilation rates generally increased with increasing wind speeds if the effects of buoyancy and wind were not suppressed; however, the re-entry ratio representing the proportion of expelled air re-entering other floors and the corresponding risk of infection decreased. If the source of the virus was on a central floor, the risk of infection was the highest on the floors closest to the source. Different window types were also considered for determining their effectiveness in controlling cross-transmission and infection risk, depending on the source location and driving force (e.g., buoyancy and wind).
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Gaseous Pollutant transmission through windows between vertical floors in a multistory building with natural ventilation.
Energy and buildings, 2017Co-Authors: Jihong Wang, Tengfei Zhang, Shugang Wang, Francine BattagliaAbstract:Abstract Natural ventilation is an effective strategy to control thermal comfort in buildings, and can be enhanced depending on the window style. The combination of natural ventilation and window can also facilitate the removal or dilution of Gaseous Pollutants from indoor sources in newly decorated buildings. However, the windows on the same facade may cause Gaseous Pollutant cross-transmission during single-sided natural ventilation between households on different floors close to the source. Although some research has focused on the Pollutant cross-transmission in buildings, the simplification of windows into rectangular openings often affects accurate knowledge of Pollutant transmission characteristics. Therefore, this investigation explored Gaseous Pollutant cross-transmission through real windows during single-sided, buoyancy-driven ventilation in a multistory building. Six types of windows were modeled for the indoor Pollutant of Gaseous formaldehyde (HCHO). Computational fluid dynamics (CFD) was utilized to solve characteristics of Pollutant transmission inside and outside the multistory building. The results indicated that the ventilation rates, thermal profiles and Pollutant transmission inside and outside the building varied for each window type, although the open window areas were identical. The re-entry ratio of exhausted air entering upper floors and the infection risk of epidemic viruses caused by airborne cross-transmission was sensitive to ventilation rates and window configurations, while the sensitivities for window configurations varied case by case. The comparisons also revealed that the specification of ambient temperature and Pollutant release rate ultimately did not affect the evaluation of Pollutant cross-transmission using CFD.
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inverse identification of multiple temporal sources releasing the same tracer Gaseous Pollutant
Building and Environment, 2017Co-Authors: Yun Wei, Tengfei Zhang, Hongbiao Zhou, Shugang WangAbstract:Abstract When an accidental release of indoor airborne Pollutants occurs, it is critical to promptly identify the Pollutant sources. Current inverse models concentrate on the identification of a single Pollutant source or multiple Pollutant sources in a simplified puff or constant release scenarios. This investigation proposes an inverse model to precisely determine the locations and temporal release rate profiles of multiple sources releasing the same tracer Gaseous Pollutant. The model first constitutes a number of candidate group sources by assuming known release positions. Then Tikhonov-based matrix inversion is implemented to solve for the release rate profiles of each candidate group of sources. The concentrations provided by the sensors in the same number of the isolated sources are the known inputs for the matrix inversion. As for the multiple candidate group sources, the occurrence probability of each group is determined by the Bayesian model after matching the concentration with one additional sensor. The above strategy was applied to identify the same Pollutant accidentally released by two passengers in a three-dimensional aircraft cabin. The Pollutant was from the exhalation points and discharged in an intermittent sinusoidal wave and a square wave of ten seconds, respectively. The results show that the proposed method can correctly determine the locations of multiple temporally released sources. The relative errors between the inversely identified release rates and the CFD-simulated actual rates are generally less than 15%.
Pierre Le Cloirec - One of the best experts on this subject based on the ideXlab platform.
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Integrated process for hydrophobic VOC treatment--solvent choice
Canadian Journal of Chemical Engineering, 2010Co-Authors: Guillaume Darracq, Annabelle Couvert, Catherine Couriol, Abdelatif Amrane, Pierre Le CloirecAbstract:A process coupling absorption of a Gaseous Pollutant in an organic phase and biodegradation was considered to treat hydrophobic volatile organic compounds (VOC). The purpose of this work was to choose the best solvent for the absorption of some VOC (dimethylsulfide, dimethyldisulfide, and toluene) and to examine solvent biodegradability as well as VOC biodegradation by activated sludge. Some experiments were carried out on some selected solvents leading to select di-2-ethylhexyl-adipate (DEHA) and poly-di-methyl-siloxane (PDMS) for their high absorption capacity. Biodegradation experiments showed that toluene and DMDS can be removed in solvent on water emulsions, while DMS removal by biodegradation remains to confirm owing to its high volatility. However, experiments showed DEHA biodegradation, contrarily to PDMS which was therefore selected for subsequent experiments.
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INTEGRATED PROCESS FOR HYDROPHOBIC VOC TREATMENT—SOLVENT CHOICE
Canadian Journal of Chemical Engineering, 2010Co-Authors: Guillaume Darracq, Annabelle Couvert, Catherine Couriol, Abdelatif Amrane, Pierre Le CloirecAbstract:A process coupling absorption of a Gaseous Pollutant in an organic phase and biodegradation was considered to treat hydrophobic volatile organic compounds (VOC). The purpose of this work was to choose the best solvent for the absorption of some VOC (dimethylsulfide, dimethyldisulfide, and toluene) and to examine solvent biodegradability as well as VOC biodegradation by activated sludge. Some experiments were carried out on some selected solvents leading to select di-2-ethylhexyl-adipate (DEHA) and poly-di-methyl-siloxane (PDMS) for their high absorption capacity. Biodegradation experiments showed that toluene and DMDS can be removed in solvent on water emulsions, while DMS removal by biodegradation remains to confirm owing to its high volatility. However, experiments showed DEHA biodegradation, contrarily to PDMS which was therefore selected for subsequent experiments.
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Integrated process for hydrophobic VOC treatment-solvent choice
The Canadian Journal of Chemical Engineering, 2010Co-Authors: Guillaume Darracq, Annabelle Couvert, Catherine Couriol, Abdelatif Amrane, Pierre Le CloirecAbstract:International audienceA process coupling absorption of a Gaseous Pollutant in an organic phase and biodegradation was considered to treat hydrophobic volatile organic compounds (VOC). The purpose of this work was to choose the best solvent for the absorption of some VOC (dimethylsulfide, dimethyldisulfide, and toluene) and to examine solvent biodegradability as well as VOC biodegradation by activated sludge. Some experiments were carried out on some selected solvents leading to select di-2-ethylhexyl-adipate (DEHA) and poly-di-methyl-siloxane (PDMS) for their high absorption capacity. Biodegradation experiments showed that toluene and DMDS can be removed in solvent on water emulsions, while DMS removal by biodegradation remains to confirm owing to its high volatility. However, experiments showed DEHA biodegradation, contrarily to PDMS which was therefore selected for subsequent experiments