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1. Thermal Comfort in classrooms
using IoT
Name: Utsav singh
Enrolment: 180140111103
Sub: Internet Of things
prof: Devendra R. Patel

2. Outline
1. Introduction
2. Factors affecting Thermal Comfort
3. Results and Discussion
4. Reference Papers

3. Introduction
• In this modern century where fine comfort is a necessity especially in buildings and
occupied space, the study to satisfy one aspect of human comfort is a must.
• This presentation encompasses of exploring the physiological and environmental
factors in achieving thermal comfort which specifically considering the clothing
insulation and metabolic rate of students as well as the environment factor.

4. Factors affecting Thermal Comfort
• Predicted Mean Vote (PMV)
The PMV is a value on a Fanger Seven Point Scale, or called thermal sensation scale that consists
of seven values from Cold (-3) to Hot (3). ASHRAE 55 recommends that the acceptable thermal
comfort range for interior occupied space is in between -0.5 and +0.5 (-0.5 ¡ PMV ¡ +0.5). The PMV
is obtained by equations produced by Fanger in 1970.

5. PMV equation:

6. Factors affecting Thermal Comfort
• Now there is separate complicated calculation for PMV equation. We don’t need to
get into maths, what's important here is what factor affects the Equation.

9. Results and Discussion
• Now this all data is collected through different Sensors and cameras as necessary
and the outputs are fed to a device with computes the PMV equation and offer the
calibrated cooling and conditioning as required.
• We can also make an android app and add a display to see respective data of
Sensors.

11. Reference Papers
IoT-based personal thermal comfort control for livable environment
• https://journals.sagepub.com/doi/full/10.1177/1550147719865506
Investigating Thermal Comfort for the Classroom Environment using IoT
• https://www.researchgate.net/publication/322469261_Investigating_Thermal_Comfort_for_th
e_Classroom_Environment_using_IoT

12. Thanks