Development of an IoT System to Support an Implementation of Adaptive Office Energy Management System

Abstract

Managing energy consumption in critical government infrastructure, such as meteorological stations, requires a balance between operational reliability and efficiency. This paper presents the development of an integrated IoT system designed to support an adaptive energy management framework at the Hang Nadim Meteorological Station. The proposed system utilizes a robust wired RS-485 network to ensure stable data transmission in high-interference environments. The architecture integrates distributed client nodes for real-time power analytics and internal climate monitoring. A core feature of this development is the synchronization of internal metrics with outdoor temperature data acquired from a local Automatic Weather Station (AWS). This integration drives an adaptive control logic via IR Blasters, which dynamically adjusts AC set-points based on real-time atmospheric conditions and occupancy schedules. Experimental results demonstrate a significant reduction in energy waste: the system achieved a maximum efficiency of 38.27% in the Observation Room (ROBS) during weekdays and a consistent 23.31% saving in the Data Room (RDATA). The implementation shows that the system effectively stabilizes energy profiles and eliminates unnecessary power spikes during non-operational periods, providing a resilient and industrial-grade solution for sustainable office energy management.