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Steven J Nabinger - One of the best experts on this subject based on the ideXlab platform.
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validation of multiZone iaq model predictions for tracer gas in a townhouse
Building Services Engineering Research and Technology, 2004Co-Authors: Steven J Emmerich, Cynthia Howardreed, Steven J NabingerAbstract:To provide additional validation data for the multiZone airflow and contaminant model, CONTAMW, experiments were performed in an occupied three-storey townhouse in Reston, VA. A tracer gas, sulfur hexafluoride (SF6), was manually injected within one room of the house and the concentration of SF6 was then measured in nine rooms. This same process was then recreated in CONTAMW and the resulting predictions were statistically compared to the measured values. A total of 10 experiments were conducted and simulated between May 2000 and June 2001. In four cases, the heating and air-conditioning system fan was operating. SF6 was injected in the recreation room (basement level), the kitchen= dining room (main level) and the master bedroom (upstairs level). A statistical comparison of measurements and predictions was performed per ASTM D5157 (ASTM 1997) for all cases. Comparisons were made for overall Zone average concentrations and Individual Zone transient concentrations. The results for Zone average concentratio...
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validation of contamw predictions for tracer gas in a townhouse
IBPSA International Conference and Exhibition on Building Simulation, 2003Co-Authors: Steven J Emmerich, Steven J Nabinger, Arpita Gupte, Cynthia HowardreedAbstract:To provide additional validation data for the multiZone airflow and contaminant model, CONTAMW, experiments were performed in an occupied 3-story townhouse in Reston, VA. A tracer gas, sulfur hexaflouride (SF6), was manually injected within one room of the house and the concentration of SF6 was measured in each Zone. This same process was then recreated in CONTAMW and the resulting predictions were statistically compared to the measured values. A total of 10 experiments were conducted and simulated between May 2000 and June 2001. The tests involved injecting 1500 mL of 1 % SF6 in a single room of the house. In 4 of the 10 cases, the heating and air-conditioning system fan was operating. SF6 was injected in the Recreation Room (basement level), the Kitchen/Dining Room (main level) and the Master Bedroom (upstairs level). Ambient conditions ranged from a low outdoor temperature of 5 °C to a high of 29 °C. Wind conditions ranged from calm to moderate with a high average wind speed of 4 m/s. A statistical comparison of measurements and predictions was performed per ASTM D5157 (ASTM 1997) for all cases. Comparisons were made for overall Zone average concentrations and Individual Zone transient concentrations. The results for Zone average concentrations were very good with many cases meeting most or all of the D5157 criteria. Several cases showed a poor to fair correlation between average measurements and predictions due to discrepancies with a single Zone - the main floor bathroom - but excluding that Zone resulted in these cases meeting or nearly meeting the D5157 criteria. Comparisons of Individual Zone transient concentrations were mixed with many good to excellent cases but also numerous fair to poor. As expected, there were frequently large differences between measured and predicted peak concentrations. Also, the bathroom Zone was a consistently difficult Zone to predict accurately. Other Zones had occasional poor comparisons between predictions and measurements but no consistent discrepancies. The predicted SF6 concentration averaged over all Zones and cases was within 10 % of the average measured concentration. Excluding the bathroom Zone, the overall average predicted concentration (115 µg/m 3 ) was essentially identical to the overall average measured concentration (116 µg/m 3
Leeann Sharp - One of the best experts on this subject based on the ideXlab platform.
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working within an Individual Zone of optimal functioning izof framework consultant practice and athlete reflections on refining emotion regulation skills
Psychology of Sport and Exercise, 2012Co-Authors: Charlotte Woodcock, Jennifer Cumming, Joan L Duda, Leeann SharpAbstract:Abstract Objective To examine how working within Hanin’s (2000a) Individual Zone of Optimal Functioning theoretical model (IZOF) informs intervention development for enhancing athletes’ emotion regulation skills. Design A single case study design was adopted to examine the applied process of facilitating a female university cross-country runner’s emotion regulation skills. Method Consultant reflections followed Boud’s (2001) reflective learning model for immediate and delayed reflection that informed an action research narrative organized round Kellmann and Beckmann’s (2003) action research cycle. A social validation interview was conducted following program completion to examine the athlete’s responses to the emotion regulation intervention. Results Consultant’s professional practice decisions and action taken to support the intervention are highlighted. Specifically, the employment and extension of Hanin’s (2000c) IZOF profiling process to inform the development of athlete skills in emotion regulation are described. Moreover, how the content and intensity of performance related subjective emotion, physiological symptom, and cognitive Zone profiles for optimal performance guided the identification and enhancement of techniques contributing to effective emotion regulation is illustrated. Athlete interview responses support the overall efficacy of the intervention program. Conclusion The present case study supports the efficacy of working within an IZOF framework from a consultant perspective. Furthermore, athlete reflections suggest enhanced skills in emotion regulation were perceived to result from the intervention.
Cynthia Howardreed - One of the best experts on this subject based on the ideXlab platform.
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validation of multiZone iaq model predictions for tracer gas in a townhouse
Building Services Engineering Research and Technology, 2004Co-Authors: Steven J Emmerich, Cynthia Howardreed, Steven J NabingerAbstract:To provide additional validation data for the multiZone airflow and contaminant model, CONTAMW, experiments were performed in an occupied three-storey townhouse in Reston, VA. A tracer gas, sulfur hexafluoride (SF6), was manually injected within one room of the house and the concentration of SF6 was then measured in nine rooms. This same process was then recreated in CONTAMW and the resulting predictions were statistically compared to the measured values. A total of 10 experiments were conducted and simulated between May 2000 and June 2001. In four cases, the heating and air-conditioning system fan was operating. SF6 was injected in the recreation room (basement level), the kitchen= dining room (main level) and the master bedroom (upstairs level). A statistical comparison of measurements and predictions was performed per ASTM D5157 (ASTM 1997) for all cases. Comparisons were made for overall Zone average concentrations and Individual Zone transient concentrations. The results for Zone average concentratio...
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validation of contamw predictions for tracer gas in a townhouse
IBPSA International Conference and Exhibition on Building Simulation, 2003Co-Authors: Steven J Emmerich, Steven J Nabinger, Arpita Gupte, Cynthia HowardreedAbstract:To provide additional validation data for the multiZone airflow and contaminant model, CONTAMW, experiments were performed in an occupied 3-story townhouse in Reston, VA. A tracer gas, sulfur hexaflouride (SF6), was manually injected within one room of the house and the concentration of SF6 was measured in each Zone. This same process was then recreated in CONTAMW and the resulting predictions were statistically compared to the measured values. A total of 10 experiments were conducted and simulated between May 2000 and June 2001. The tests involved injecting 1500 mL of 1 % SF6 in a single room of the house. In 4 of the 10 cases, the heating and air-conditioning system fan was operating. SF6 was injected in the Recreation Room (basement level), the Kitchen/Dining Room (main level) and the Master Bedroom (upstairs level). Ambient conditions ranged from a low outdoor temperature of 5 °C to a high of 29 °C. Wind conditions ranged from calm to moderate with a high average wind speed of 4 m/s. A statistical comparison of measurements and predictions was performed per ASTM D5157 (ASTM 1997) for all cases. Comparisons were made for overall Zone average concentrations and Individual Zone transient concentrations. The results for Zone average concentrations were very good with many cases meeting most or all of the D5157 criteria. Several cases showed a poor to fair correlation between average measurements and predictions due to discrepancies with a single Zone - the main floor bathroom - but excluding that Zone resulted in these cases meeting or nearly meeting the D5157 criteria. Comparisons of Individual Zone transient concentrations were mixed with many good to excellent cases but also numerous fair to poor. As expected, there were frequently large differences between measured and predicted peak concentrations. Also, the bathroom Zone was a consistently difficult Zone to predict accurately. Other Zones had occasional poor comparisons between predictions and measurements but no consistent discrepancies. The predicted SF6 concentration averaged over all Zones and cases was within 10 % of the average measured concentration. Excluding the bathroom Zone, the overall average predicted concentration (115 µg/m 3 ) was essentially identical to the overall average measured concentration (116 µg/m 3
Steven J Emmerich - One of the best experts on this subject based on the ideXlab platform.
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validation of multiZone iaq model predictions for tracer gas in a townhouse
Building Services Engineering Research and Technology, 2004Co-Authors: Steven J Emmerich, Cynthia Howardreed, Steven J NabingerAbstract:To provide additional validation data for the multiZone airflow and contaminant model, CONTAMW, experiments were performed in an occupied three-storey townhouse in Reston, VA. A tracer gas, sulfur hexafluoride (SF6), was manually injected within one room of the house and the concentration of SF6 was then measured in nine rooms. This same process was then recreated in CONTAMW and the resulting predictions were statistically compared to the measured values. A total of 10 experiments were conducted and simulated between May 2000 and June 2001. In four cases, the heating and air-conditioning system fan was operating. SF6 was injected in the recreation room (basement level), the kitchen= dining room (main level) and the master bedroom (upstairs level). A statistical comparison of measurements and predictions was performed per ASTM D5157 (ASTM 1997) for all cases. Comparisons were made for overall Zone average concentrations and Individual Zone transient concentrations. The results for Zone average concentratio...
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validation of contamw predictions for tracer gas in a townhouse
IBPSA International Conference and Exhibition on Building Simulation, 2003Co-Authors: Steven J Emmerich, Steven J Nabinger, Arpita Gupte, Cynthia HowardreedAbstract:To provide additional validation data for the multiZone airflow and contaminant model, CONTAMW, experiments were performed in an occupied 3-story townhouse in Reston, VA. A tracer gas, sulfur hexaflouride (SF6), was manually injected within one room of the house and the concentration of SF6 was measured in each Zone. This same process was then recreated in CONTAMW and the resulting predictions were statistically compared to the measured values. A total of 10 experiments were conducted and simulated between May 2000 and June 2001. The tests involved injecting 1500 mL of 1 % SF6 in a single room of the house. In 4 of the 10 cases, the heating and air-conditioning system fan was operating. SF6 was injected in the Recreation Room (basement level), the Kitchen/Dining Room (main level) and the Master Bedroom (upstairs level). Ambient conditions ranged from a low outdoor temperature of 5 °C to a high of 29 °C. Wind conditions ranged from calm to moderate with a high average wind speed of 4 m/s. A statistical comparison of measurements and predictions was performed per ASTM D5157 (ASTM 1997) for all cases. Comparisons were made for overall Zone average concentrations and Individual Zone transient concentrations. The results for Zone average concentrations were very good with many cases meeting most or all of the D5157 criteria. Several cases showed a poor to fair correlation between average measurements and predictions due to discrepancies with a single Zone - the main floor bathroom - but excluding that Zone resulted in these cases meeting or nearly meeting the D5157 criteria. Comparisons of Individual Zone transient concentrations were mixed with many good to excellent cases but also numerous fair to poor. As expected, there were frequently large differences between measured and predicted peak concentrations. Also, the bathroom Zone was a consistently difficult Zone to predict accurately. Other Zones had occasional poor comparisons between predictions and measurements but no consistent discrepancies. The predicted SF6 concentration averaged over all Zones and cases was within 10 % of the average measured concentration. Excluding the bathroom Zone, the overall average predicted concentration (115 µg/m 3 ) was essentially identical to the overall average measured concentration (116 µg/m 3
C Howard-reed - One of the best experts on this subject based on the ideXlab platform.
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Validation of multiZone IAQ model predictions for tracer gas in a townhouse
2016Co-Authors: C Howard-reedAbstract:To provide additional validation data for the multiZone airflow and contaminant model, CONTAMW, experiments were performed in an occupied three-storey townhouse in Reston, VA. A tracer gas, sulfur hexafluoride (SF6), was manually injected within one room of the house and the concentration of SF6 was then measured in nine rooms. This same process was then recreated in CONTAMW and the resulting predictions were statistically compared to the measured values. A total of 10 experiments were conducted and simulated between May 2000 and June 2001. In four cases, the heating and air-conditioning system fan was operating. SF6 was injected in the recreation room (basement level), the kitchen= dining room (main level) and the master bedroom (upstairs level). A statistical comparison of measurements and predictions was performed per ASTM D5157 (ASTM 1997) for all cases. Comparisons were made for overall Zone average concentrations and Individual Zone transient concentrations. The results for Zone average concentrations were very good with many cases meeting most or all of the D5157 criteria. Several cases showed a poor to fair correlation between aver-age measurements and predictions due to discrepancies with a single Zone—the main floor bathroom—but excluding that Zone resulted in these cases meeting or nearly meeting the D5157 criteria. Comparisons of Individual Zone transient con-centrations were mixed with many good to excellent cases but also numerous fair to poor. Zones other than the bathroom had occasional poor comparisons between predictions and measurements but no consistent discrepancies. The predicted SF6 concentration averaged over all Zones and cases was within 10% of the average measured concentration.