Design of IoT based smart compact energy meter for monitoring and controlling the usage of energy and power quality issues with demand side management for a commercial building

Internet of Things (IoTs) plays a vital role in energy sector which introduces a smart metering and monitoring system. The smart monitoring focuses on incorporating smart meters and control techniques which requires smart equipment control, bidirectional communication, integration of network and users. In this paper, a new Commercial Building Energy Management System (CBEMS) using IoT based Smart Compact Energy Meter (SCEM) is proposed to monitor and control the energy usage and power quality issues. In addition, Demand Side Management (DSM) for a commercial building in proposed using IoT. Here, low-voltage metering hardware uses Advanced Reduced Instruction Set Computing (RISC) Machines (ARM) cortex and real-time operating system. The choice of ARM microprocessor aims at rendering a wide range of complex operations such as data acquisition, processing, disturbance detection and classification, consumption and data exchange which consequently requires optimization of the embedded software. The IoT based SCEMs with CBEMS is implemented in real time commercial building at M/s Quantanics Techserv Private Limited. Here, the load pattern of M/s Quantanics Techserv Private Limited is dynamically optimized using DSM after successfully integrating CBEMS. The operation of monitoring and controlling commercial appliances are examined and validated remotely using the mobile Blynk application. The proposed SCEMs analyzes the power quality at low cost with high accuracy in detecting and classifying the disturbances. The proposed SCEM output values are compared with standard Elmeasure iM-8000 meter and the results are tabulated. (c) 2021 Elsevier Ltd. All rights reserved.

Automated summary

The paper discusses the crucial role of IoT in the energy sector, proposing a Commercial Building Energy Management System using smart energy meters for monitoring and control, as well as Demand Side Management for optimizing load patterns in commercial buildings. Real-time operation and remote validation are utilized for monitoring and controlling commercial appliances.