<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>ASHRAE 55-2004 and ISO 7730 standards failed to predict actual comfort level and lead to oversize design of HVAC system. So proper thermal environment monitoring is an important subject to have right size of HVAC systems. A prototype thermal EM system has been developed. Thermal environment parameters such as: temperature, relative humidity, CO and CO<sub>2</sub> are measured by using the developed system. These data are used to calculate the thermal comfort index. The subjective judgments and the calculated PMV are compared with the results. The results showed the possibility of using PMV based thermal comfort smart sensor.</p>
</abstract>

ASHRAE 55-2004 and ISO 7730 standards failed to predict actual comfort level and lead to oversize design of HVAC system. So proper thermal environment monitoring is an important subject to have right size of HVAC systems. A prototype thermal EM system has been developed. Thermal environment parameters such as: temperature, relative humidity, CO and CO2 are measured by using the developed system. These data are used to calculate the thermal comfort index. The subjective judgments and the calculated PMV are compared with the results. The results showed the possibility of using PMV based thermal comfort smart sensor.

An Approach Towards Development Of Pmv Based Thermal Comfort Smart Sensor

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"An Approach Towards Development Of Pmv Based Thermal Comfort Smart Sensor"}

ASHRAE 55-2004 and ISO 7730 standards failed to predict actual comfort level and lead to oversize design of HVAC system. So proper thermal environment...

An Approach Towards Development Of Pmv Based Thermal Comfort Smart Sensor

Published Online: Dec 13, 2017

Page range: 621 - 642

DOI: https://doi.org/10.21307/ijssis-2017-412

Keywords
Predicted mean vote (PMV), Environment monitoring system (EMS), Indoor environment quality, Thermal comfort index

© 2010 Anuj Kumar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

An Approach Towards Development Of Pmv Based Thermal Comfort Smart Sensor

Published Online: Dec 13, 2017

Page range: 621 - 642

DOI: https://doi.org/10.21307/ijssis-2017-412

KeywordsPredicted mean vote (PMV), Environment monitoring system (EMS), Indoor environment quality, Thermal comfort index

© 2010 Anuj Kumar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
Predicted mean vote (PMV), Environment monitoring system (EMS), Indoor environment quality, Thermal comfort index