EMS Energy Intelligent Management System

EMS Energy Intelligent Management SystemIntroduction:

The comprehensive monitoring system for power distribution rooms is based on intelligent control and integrates IoT technology to achieve full day monitoring and intelligent control of the indoor environment. The system has implemented environmental data monitoring and equipment control, playing a role in preventing abnormal operating environments from causing power distribution equipment failures, ensuring the safety of maintenance personnel, extending the service life of equipment, and achieving distributed remote management of the distribution room environment.Energy Storage Battery Photovoltaic Energy Storage Energy Management System

EMS Energy Intelligent Management Systemfunction

1. Real time monitoring and abnormal warning

• Multi dimensional monitoringDisplay energy consumption by region, equipment type, and energy type (electricity/gas/heat), supporting drilling analysis (such as locating the total energy consumption of a factory to a certain production line).

• Smart AlarmSet threshold alarms (such as a sudden 50% increase in power of a single device), trend alarms (such as a 10% increase in energy consumption for three consecutive days), and push them through SMS/email.

• fault diagnosisBased on equipment operation data (such as motor vibration and temperature) and energy consumption data, locate the root cause of the fault (such as bearing wear leading to a decrease in motor efficiency).

2. Load forecasting and optimization scheduling

• short-term forecastBased on historical data, weather, and production plans, predict the load for the next 15 minutes to 24 hours with an accuracy of over 95% (for industrial scenarios).

• economic dispatchOptimize equipment start stop time by combining time of use electricity prices and demand response subsidies (such as scheduling non emergency production tasks during periods of low electricity prices).

• Energy Storage ManagementDevelop energy storage charging and discharging strategies based on load forecasting and electricity price signals (such as "valley charging and peak discharging" to reduce electricity costs).

3. Energy Efficiency Analysis and Improvement

• energy efficiency benchmarkingIdentify energy-saving potential points.

• Carbon ManagementCalculate carbon emissions (based on IPCC methodology) and support participation in the carbon trading market.

• Recommended energy-saving strategiesProvide specific measures based on the analysis results, such as replacing LED lights and optimizing the air conditioning supply temperature.

4. New energy access and microgrid control

• Photovoltaic/wind power forecastingBy combining meteorological data (such as light intensity and wind speed), the accuracy of predicting new energy output can reach 85% -90%.

• Source network load storage collaborationCoordinate distributed power sources, energy storage, and interruptible loads in microgrids to achieve "spontaneous self use and surplus electricity grid connection".

• Island detection and protectionMonitor the status of the power grid, quickly switch to islanding operation mode in case of faults, and ensure power supply for critical loads.