Sensation of draft at uncovered ankles for women exposed to displacement ventilation and underfloor air distribution systems

Schiavon, Stefano; Rim, Donghyun; Pasut, Wilmer; Nazaroff, William W.

doi:10.1016/j.buildenv.2015.11.009

Cited by 54 publications

(28 citation statements)

References 32 publications

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“…This section also reports the multiple variable linear regression and logistic regression methods used in the parameter analysis and in the development of PPD AD , respectively. A more detailed description of the experimental methods is provided in Schiavon et al . Descriptions of the experimental facilities, their configuration, and the survey questionnaire used in the previous paper are not repeated here.…”

Section: Methodsmentioning

confidence: 99%

“…During the 2‐hour test, each subject sat for 20 minutes at each of the three workstations, with the corresponding exposures to different air speeds and temperatures shown in Table . At the end of each session, participants used an online questionnaire to answer the survey questions described in the section “Questionnaire” of Schiavon et al …”

Section: Methodsmentioning

confidence: 99%

“…We hired a large number of subjects for this study. The subjects in first phase were 30 female college students . In the second phase, 28 female and 52 male college students participated.…”

Section: Methodsmentioning

confidence: 99%

“…We assigned one laptop computer to each workstation, and the subjects were allowed to read or type at the laptop; that activity corresponds to a metabolic equivalent value of 1.1‐1.2 met according to ANSI/ASHRAE Standard 55 . More details about the experimental procedure can be found in Schiavon et al …”

Section: Methodsmentioning

confidence: 99%

“…This study consists of two phases. Conducted in summer 2013, the first phase experimentally evaluated local draft risk at ankles for females with their ankles and lower legs uncovered . The first phase revealed a higher draft discomfort at ankles than expected and identified the need for more experiments before developing a draft risk model.…”

Section: Introductionmentioning

confidence: 99%

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Predicted percentage dissatisfied with ankle draft

et al. 2017

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Draft is unwanted local convective cooling. The draft risk model of Fanger et al. (Energy and Buildings 12, 21-39, 1988) estimates the percentage of people dissatisfied with air movement due to overcooling at the neck. There is no model for predicting draft at ankles, which is more relevant to stratified air distribution systems such as underfloor air distribution (UFAD) and displacement ventilation (DV). We developed a model for predicted percentage dissatisfied with ankle draft (PPD ) based on laboratory experiments with 110 college students. We assessed the effect on ankle draft of various combinations of air speed (nominal range: 0.1-0.6 m/s), temperature (nominal range: 16.5-22.5°C), turbulence intensity (at ankles), sex, and clothing insulation (<0.7 clo; lower legs uncovered and covered). The results show that whole-body thermal sensation and air speed at ankles are the dominant parameters affecting draft. The seated subjects accepted a vertical temperature difference of up to 8°C between ankles (0.1 m) and head (1.1 m) at neutral whole-body thermal sensation, 5°C more than the maximum difference recommended in existing standards. The developed ankle draft model can be implemented in thermal comfort and air diffuser testing standards.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…We hired a large number of subjects for this study. The subjects in first phase were 30 female college students . In the second phase, 28 female and 52 male college students participated.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predicted percentage dissatisfied with ankle draft

et al. 2017

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Educational tool for the learning of thermal comfort control based on PMV‐PPD indices

Ruz

Garrido

Vázquez

2018

Comp Applic In Engineering

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In this paper, an interactive educational tool designed for the learning of thermal comfort concepts is presented. Thermal comfort is one of the fundamental aspects of indoor environmental quality and energy savings in buildings. Comfort‐based control and energy management constitute an important emergent sub‐discipline of engineering studies. The developed tool allows for the definition of the thermal model of a house. Based on this model, thermal comfort is estimated through the predicted mean vote (PMV) and predicted percentage dissatisfied (PPD) indices, and energy consumption is also calculated. The tool can communicate through Modbus TCP/IP protocol, providing external connectivity and data collection from the different sensors available in a building management system (BMS). In this way, it is possible to calculate in real‐time the aforementioned comfort indices and propose corrective control indications to maintain the indoor‐air conditions inside the optimal comfort range. A simple control strategy that can be applied to conventional HVAC systems is also addressed. The tool is available for degree students in control engineering. A survey was performed to evaluate the effectiveness of the proposed tool.

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