Web Server Based Electrical Control System Analysis for Smart Buildings

Energy management in smart buildings still faces challenges in optimizing energy use, particularly for high-load devices, such as HVAC systems and lighting. Conventional control systems are often inadequate for optimizing energy usage based on the operational needs of the building. This study aims to develop and analyze a web server-based electrical energy control system that can be accessed in real time to improve the energy efficiency of smart buildings. This study employed a quasi-experimental method by implementing a web server-based control system in a smart building and comparing the energy consumption before and after the application of the system. The results show that the system reduces the energy consumption by up to 25%, particularly for HVAC systems and lighting. The most significant energy savings occurred during off-peak hours, when the system automatically reduced power for unnecessary devices. The implications of this research suggest that a web server-based control system not only enhances energy efficiency and reduces operational costs, but also provides greater flexibility in energy management through more adaptive and responsive remote control. This research contributes to the development of more sustainable energy management technologies for smart buildings, with wide potential applications in commercial and institutional building scenarios

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Publication Details

Journal
Advance Sustainable Science Engineering and Technology
Published
2024-10-26
DOI
https://doi.org/10.26877/asset.v6i4.1120
Citations
2
Primary Topic
Wireless Sensor Networks for Data Analysis
Type
article
Field-Weighted Citation Impact
0.70
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article

Web Server Based Electrical Control System Analysis for Smart Buildings

Syahirun Alam, Masnur Masnur
2 citations
Advance Sustainable Science Engineering and Technology
Wireless Sensor Networks for Data Analysis
0.70
article

Web Server Based Electrical Control System Analysis for Smart Buildings

Syahirun Alam, Masnur Masnur
article en
2 citations

Abstract

Energy management in smart buildings still faces challenges in optimizing energy use, particularly for high-load devices, such as HVAC systems and lighting. Conventional control systems are often inadequate for optimizing energy usage based on the operational needs of the building. This study aims to develop and analyze a web server-based electrical energy control system that can be accessed in real time to improve the energy efficiency of smart buildings. This study employed a quasi-experimental method by implementing a web server-based control system in a smart building and comparing the energy consumption before and after the application of the system. The results show that the system reduces the energy consumption by up to 25%, particularly for HVAC systems and lighting. The most significant energy savings occurred during off-peak hours, when the system automatically reduced power for unnecessary devices. The implications of this research suggest that a web server-based control system not only enhances energy efficiency and reduces operational costs, but also provides greater flexibility in energy management through more adaptive and responsive remote control. This research contributes to the development of more sustainable energy management technologies for smart buildings, with wide potential applications in commercial and institutional building scenarios

Advance Sustainable Science Engineering and TechnologyVol. 6(4)
Universitas Muhammadiyah Parepare (ID)
Affordable and clean energy
Openalex Percentile: Top 27%
Wireless Sensor Networks for Data Analysis
0.70
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Web Server Based Electrical Control System Analysis for Smart Buildings — Syahirun Alam, Masnur Masnur · Advance Sustainable Science Engineering and Technology (2024) | TGRS Research Map | TGRS