Effect of classroom air quality on students’ concentration: results of a cluster-randomized cross-over experimental study

Twardella, Dorothee; Matzen, Wolfgang; Lahrz, T.; Burghardt, Rainer; Spegel, H.; Hendrowarsito, Lana; Frenzel, Anne C.; Fromme, Hermann

doi:10.1111/j.1600-0668.2012.00774.x

Cited by 107 publications

(86 citation statements)

References 11 publications

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“…Rather than making these assumptions, it was assumed that lower CO 2 concentration may imply higher ventilation rate and better indoor air quality. It seems justified to make this assumption, as it has been made earlier in recognized studies (e.g., Daisey et al 2003;Griffiths and Efthekari 2008;Twardella et al 2012). The measured CO 2 concentrations were below the 8-hour maximum permissible occupational exposure level of 5000 ppm (OSHA 2017).…”

Section: Discussionmentioning

confidence: 99%

Window and door opening behavior, carbon dioxide concentration, temperature, and energy use during the heating season in classrooms with different ventilation retrofits—ASHRAE RP1624

Heebøll

Wargocki

Toftum

2018

Science and Technology for the Built Environment

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Section: Discussionmentioning

confidence: 99%

Window and door opening behavior, carbon dioxide concentration, temperature, and energy use during the heating season in classrooms with different ventilation retrofits—ASHRAE RP1624

Heebøll

Wargocki

Toftum

2018

Science and Technology for the Built Environment

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“…It is a multichannel system for measurement humidity, air temperature, air velocity and operative temperature. Accordingly, the system measuring the thermal comfort factors and identifying the thermal comfort level in accordance with EN 13182, ISO 7726, ISO 7730, ASHRAE 55 and ASHRAE 113 [25].…”

Section: Thermal Comfortmentioning

confidence: 99%

Assessing Indoor Environmental Quality of Educational Buildings Using BIM

Al-Sulaihi¹,

Al-Gahtani²,

Alsugair³

et al. 2015

JESE-B

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Indoor Environmental Quality (IEQ) deals with providing a healthy and comfortable indoor environment. Most of international sustainability rating systems consider IEQ as a key perspective for developing sustainable buildings. Educational buildings include large number of people which increase the need to provide appropriate IEQ. Accordingly, there is a critical need to frequently assess of IEQ in this type of buildings in order to maintain the satisfactory level of IEQ. This paper aims to develop a framework for assessing and improving the IEQ of educational buildings in Saudi Arabia through measuring the IEQ parameters and integrating these results with Building Information Modeling (BIM). The key IEQ parameters considered in this study include thermal comfort, indoor air quality and visual comfort. These parameters have been measured by comfort-sense system, indoor air quality meter and light meter respectively. The measured data are integrated with BIM model in order to track the IEQ problems, and to develop IEQ history over time. By using the proposed framework, the IEQ can be tracked and improved. The IEQ assessment framework has been implemented on educational building in Saudi Arabia as a case study to validate the process and perform the necessary modifications and improvements.

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“…We have plenty of research works (Lee, Chang, 1999;Twardella et al, 2012;Kielb et al, 2014; Agarwal, Shiva Nagendra, 2016) which describe the microclimate of the classroom. Among them there are also studies such as (Krüger, Zannin, 2004) which, apart from the microclimate or heating comfort, also take in hand the acoustic comfort.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Reverberation Time in Classrooms Using the Residual Minimization Method

Nowoświat

Olechowska

2017

Archives of Acoustics

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The objective of the residual minimization method is to determine a coefficient correcting the Sabine's model. The Sabine's equation is the most commonly applied formula in the designing process of room acoustics with the use of analytical methods. The correction of this model is indispensable for its application in rooms having non-diffusive acoustic field. The authors of the present paper will be using the residual minimization method to work out a suitable correction to be applied for classrooms. For this purpose, five different poorly dampened classrooms were selected, in which the measurements of reverberation time were carried out, and for which reverberation time was calculated with the use of theoretical methods. Three of the selected classrooms had the cubic volume of 258.5 m 3 and the remaining two had the cubic volume of 190.8 m 3 . It was sufficient to estimate the correction for the Sabine's equation. To verify the results, three other classrooms were selected, in which also the measurements of reverberation time were carried out. The results were verified by means of real measurements of reverberation time and by means of computer simulations in the program ODEON.

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Effect of classroom air quality on students’ concentration: results of a cluster-randomized cross-over experimental study

Cited by 107 publications

References 11 publications

Window and door opening behavior, carbon dioxide concentration, temperature, and energy use during the heating season in classrooms with different ventilation retrofits—ASHRAE RP1624

Window and door opening behavior, carbon dioxide concentration, temperature, and energy use during the heating season in classrooms with different ventilation retrofits—ASHRAE RP1624

Assessing Indoor Environmental Quality of Educational Buildings Using BIM

Estimation of Reverberation Time in Classrooms Using the Residual Minimization Method

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