International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Comparative Analysis of IoT-Enabled Air Conditioners vs. Traditional Air Conditioners: Energy Efficiency and Performance Optimization

Author(s) Nishant Yadav, Dr. Yogesh Kumar
Country India
Abstract The integration of Internet of Things (IoT) technologies in air conditioning (AC) systems has revolutionized HVAC applications by enabling energy-efficient, user-centric, and predictive solutions. This research paper conducted a comprehensive comparative analysis of IoT-enabled ACs and traditional ACs, focusing on energy efficiency, cooling performance, user comfort, and cost-effectiveness in a residential setting in India’s hot and humid climate. Using MATLAB/Simulink simulations, we model a 1.5-ton IoT-enabled AC equipped with specific IoT components (DHT22 sensor, HC-SR501 PIR sensor, ESP32 microcontroller, and ThingSpeak cloud platform) and a traditional AC under identical conditions (35°C, 70% humidity). Results showed that the IoT-enabled AC achieved 27% energy savings, a higher Coefficient of Performance (COP) of 3.9, and superior temperature regulation (±0.4°C deviation) compared to the traditional AC’s COP of 3.2 and ±1.6°C deviation. While IoT ACs incur higher initial costs (Rs.65,000 vs. Rs.50,000), operational savings yield a payback period of 3.2 years. Challenges include cybersecurity risks and implementation complexity. Future research should include integrating IoT ACs with solar power and exploring machine learning for predictive cooling.
Keywords Internet of Things, Air Conditioning, Energy Efficiency, Cooling Performance, Temperature Control
Field Computer
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-21

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