Smart room temperature regulation with responsive arduino-driven temperature-controlled fan system

Rachelle Ann Buco; Angel Cueva; Klei Antoine Perodez; Jhillian Deniega; Novie Bonggal

doi:10.55529/ijrise.51.32.46

Authors

Rachelle Ann Buco Association of Science and Mathematics Coaches of the Philippines, Philippine Association of Teachers and Educational Leaders, Philippine Institute of 21st Century Educators Inc., Philippines.
Angel Cueva Association of Science and Mathematics Coaches of the Philippines, Philippine Association of Teachers and Educational Leaders, Philippine Institute of 21st Century Educators Inc., Philippines.
Klei Antoine Perodez Association of Science and Mathematics Coaches of the Philippines, Philippine Association of Teachers and Educational Leaders, Philippine Institute of 21st Century Educators Inc., Philippines.
Jhillian Deniega Association of Science and Mathematics Coaches of the Philippines, Philippine Association of Teachers and Educational Leaders, Philippine Institute of 21st Century Educators Inc., Philippines.
Novie Bonggal Association of Science and Mathematics Coaches of the Philippines, Philippine Association of Teachers and Educational Leaders, Philippine Institute of 21st Century Educators Inc., Philippines. b

Keywords:

Arduino, Temperature Regulation, Energy Efficiency, Fan System, Automation

Abstract

This study investigates the design and performance of an Arduino-based temperature-controlled fan system aimed at optimizing room temperature regulation while improving energy efficiency. The system utilizes temperature sensors and a microcontroller to adjust fan speed in response to environmental conditions, ensuring that the fan operates only when necessary. The findings revealed that the Arduino-based fan maintained a more stable room temperature compared to a manual fan, with a mean temperature of 28.8°C (SD = 1.2) versus 31.5°C (SD = 2.5) for the manual fan. In terms of energy consumption, the automated fan reduced power usage by 27.1%, consuming 0.62 kWh compared to the 0.85 kWh of the manual fan. Additionally, the system showed high accuracy in temperature regulation, with an error margin of ±0.2°C. User feedback indicated a significant reduction in manual adjustments, further enhancing the system's convenience. Overall, the Arduino-based fan is a reliable, energy-efficient solution for modern cooling needs.

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References

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