International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
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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E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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