Power Management on Optimizing Air Conditioning Control Based on IoT System Integrated

The installation of heat, ventilation and air conditioning (HVAC) systems is a major factor impacting energy consumption in public and private facilities such as classrooms, halls, rooms and mosques which suffer from manually operated controls. Inefficiencies such as forgetting to turn off units or their operation during non-demand periods, like naturally colder seasons, plague these facilities, resulting in elevated power costs. An energy management system configured within the IoT framework alongside an ESP32 microcontroller offers a solution. The technology automates the operation of HVAC units based on the unique prerequisites of specific environmental parameters. Specifically, units are programmed to turn on at pre-set intervals, like alleviating HVAC at a set ambient temperature of 25 Celsius, humidity levels of less than 15 percent, and beyond defined periods. Such functionality guarantees that units only operate when absolutely necessary, thus enhancing energy efficiency. To achieve the desired results, a comparative study system was paired with traditionally used, non-automated control HVAC units. Results demonstrated significant energy consumption reductions, with the conventional system using 179.534 kWh and the IoT-controlled system consuming only 49.77 kWh. Cumulatively, this translates to 129.767 kWh or an average of 4.15 kWh savings daily with a mean optimization efficiency of 72.28%. Human error is eliminated along with reduced labor costs, thus bolstering efficiency with cost efficient solutions. However, disadvantages of reliance on Wi-Fi connectivity and initial installation difficulty were discovered, although these may be avoided by proper planning and maintenance.

Authors

Institutions

Publication Details

Published
2025-08-27
DOI
https://doi.org/10.1109/inecce64959.2025.11150985
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Power Management on Optimizing Air Conditioning Control Based on IoT System Integrated

Kharudin Ali, Afidatul Nadia Mok Hat, Damhuji Rifai, F. Atan et al.
1 links
Building Energy and Comfort Optimization
article

Power Management on Optimizing Air Conditioning Control Based on IoT System Integrated

Kharudin Ali, Afidatul Nadia Mok Hat, Damhuji Rifai, F. Atan, Mohd Shamsul Ali, Abang Muhammad Hafizuddin Bin Kamalluddin
article en

Abstract

The installation of heat, ventilation and air conditioning (HVAC) systems is a major factor impacting energy consumption in public and private facilities such as classrooms, halls, rooms and mosques which suffer from manually operated controls. Inefficiencies such as forgetting to turn off units or their operation during non-demand periods, like naturally colder seasons, plague these facilities, resulting in elevated power costs. An energy management system configured within the IoT framework alongside an ESP32 microcontroller offers a solution. The technology automates the operation of HVAC units based on the unique prerequisites of specific environmental parameters. Specifically, units are programmed to turn on at pre-set intervals, like alleviating HVAC at a set ambient temperature of 25 Celsius, humidity levels of less than 15 percent, and beyond defined periods. Such functionality guarantees that units only operate when absolutely necessary, thus enhancing energy efficiency. To achieve the desired results, a comparative study system was paired with traditionally used, non-automated control HVAC units. Results demonstrated significant energy consumption reductions, with the conventional system using 179.534 kWh and the IoT-controlled system consuming only 49.77 kWh. Cumulatively, this translates to 129.767 kWh or an average of 4.15 kWh savings daily with a mean optimization efficiency of 72.28%. Human error is eliminated along with reduced labor costs, thus bolstering efficiency with cost efficient solutions. However, disadvantages of reliance on Wi-Fi connectivity and initial installation difficulty were discovered, although these may be avoided by proper planning and maintenance.

TATI University College (MY), Universiti Malaysia Terengganu (MY)
Openalex Percentile: Top 74%
Building Energy and Comfort Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Power Management on Optimizing Air Conditioning Control Based on IoT System Integrated — Kharudin Ali, Afidatul Nadia Mok Hat, et al. · (2025) | TGRS Research Map | TGRS