IoT-enabled Smart Energy Metering Solution with Soft-UPS for Developing Countries
- Resource Type
- Conference
- Authors
- Aftab, Mahnoor; Hameed, Aamna Nasir; Samiq, Ali; Shah, Muhammad Bilal; Pasha, Muhammad Adeel; Zaffar, Nauman Ahmad; Dant, Amrut Ganesh; Sikora, Axel
- Source
- 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021 11th IEEE International Conference on. 2:899-904 Sep, 2021
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Actuators
Demand side management
Developing countries
Sensor systems
Smart grids
Internet of Things
Surges
Smart Energy Metering
Demand Side Management
Soft-UPS
Rolling Blackouts
IoT-based Solution
- Language
- ISSN
- 2770-4254
Due to its potential in improving the efficiency of energy supply, smart energy metering (SEM) has become an area of interest with the surge in Internet of Things (IoT). SEM entails remote monitoring and control of the sensors and actuators associated with the energy supply system. This provides a flexible platform to conceive and implement new data driven Demand Side Management (DSM) mechanisms. The IoT enablement allows the data to be gathered and analyzed at requisite granularity. In addition to efficient use of energy resources and provisioning of power, developing countries face an additional challenge of temporal mismatch in generation capacity and load factors. This leads to widespread deployment of inefficient and expensive Uninterruptible Power Supply (UPS) solutions for limited power provisioning during resulting blackouts. Our proposed “Soft-UPS” allows dynamic matching of load and generation through a combination of managed curtailment. This eliminates inefficiencies in the energy and power value chain and allows a data-driven approach to solving a widespread problem in developing countries, simultaneously reducing both upfront and running costs of conventional UPS and storage. A scalable and modular platform is proposed and implemented in this paper. The architecture employs “WiMODino” using LoRaWAN with a “Lite Gateway” and SQLite repository for data storage. Role based access to the system through an android application has also been demonstrated for monitoring and control.