The Internet of Things plays an essential role in the field of Energy Domain management and regulation. The term used for that is Smart Energy System. IoT applications monitor a wide variety of energy control functions for residential and commercial use.
Residential Energy Domain
Technology is growing every day, It also raises the cost of energy. Consumers search the way through which they can reduce and control energy costs. To analyze and optimize the use of the device as well as the entire system of a home, IoT contributes to this. It can be any solution like changing, the device setting, Switching on/off, or dimming lights to optimize energy use.
Commercial Energy
Energy consumption impacts any business enterprise in its cost of production. IoT regulates a solution for monitoring and maintaining a low-cost and high level of care. IoT system provides a strong means of managing the consumption cost of energy and optimizing the output of enterprises. It discovers energy issues in the same way as functional issues in a complex business network and provides solutions.
Energy Smart Grids
Smart grid technology facilitates predictive information and recommendation to utilize, their suppliers, and their customers on how best to manage power. The smart grid collects data regarding Electricity generation, Electricity consumption, Storage, Distribution, and equipment health data.
Analyzing the data on power generation, transmission, and consumption of smart grids can improve efficiency throughout the electric system. Storage collection and analysis of smarts grids data in the cloud can help in the dynamic optimization of system operations, maintenance, and planning.
Cloud-based monitoring of smart grid data can improve energy usage levels via energy feedback to users coupled with real-time pricing information. Condition monitoring data collected from power generation and transmission systems can help in detecting faults and predicting outages.
Energy Renewable Energy System
Due to the variability in the output from renewable energy sources (such as solar and wind), integrating them into the grid can cause grid stability and reliability problems. IoT-based systems integrated with the transformer at the point of interconnection measure the electrical variables and how much power is fed into the grid. To ensure grid stability, one solution is to simply cut off the overproductions.
Energy Prognostics
IoT-based prognostic real-time health management systems can predict the performance of machines of energy systems by analyzing the extent of deviation of a system from its normal operating profiles. In a system such as a power grid, real-time information is collected using specialized electrical sensors called Phasor Measurement Units (PMU).
Analyzing massive amounts of maintenance data collected from sensors in energy systems and equipment can provide predictions for impending failures. OpenPDC is a set of applications for the processing of streaming time-series data collected from Phasor Measurements Units (PMUS) in real-time.
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