Publication

Abstract : This study proposes an IoT -enabled monitoring system designed to evaluate thermal comfort and indoor air quality (IAQ) in mixed mode ventilated workspace. The system integrates an Arduino Mega microcontroller with an MG811 CO2 sensor and a DHT22 temperature and humidity sensor to facilitate real-time data acquisition. The collected environmental data-comprising temperature, humidity, and CO2 concentration-was transmitted and visualized using the ThingSpeak platform for further analysis. The monitoring was carried out during the month January to March, a period characterized by mild weather conditions and minimal use of air conditioning. This allowed for a meaningful assessment of naturally driven ventilation practices. The findings reveal a clear preference among occupants for thermal comfort over air quality, highlighting a common trade-off in building environmental control. Elevated CO2 levels during air-conditioning period indicated insufficient fresh air ventilation, particularly when thermal comfort was prioritized by limiting airflow. The study emphasizes the importance of developing integrated ventilation strategies that balance both thermal comfort and IAQ. It advocates for adaptive approaches that respond to seasonal variations and occupant behavior, ensuring healthier and more comfortable indoor environments.