RMS Solutions uses Energy Management System (EMS) analytics, advanced software and algorithms to analyze and optimize energy consumption within a facility or a network of facilities. These systems are designed to monitor, control, and optimize energy usage in real-time, helping organizations improve efficiency, reduce costs, and minimize environmental impact. Here’s a general overview of how energy management system analytics work:

1. Data Collection:
   • Sensors and meters are deployed to collect real-time data on energy consumption, production, and other relevant parameters. These sensors can monitor electricity, gas, water, and other energy sources.
2. Data Aggregation:
   • The collected data is aggregated and stored in a centralized database. This database serves as a repository for historical and real-time energy data.
3. Communication Protocols:
   • Communication protocols are utilized to establish connectivity between different devices, sensors, and the central energy management system. Common protocols include Modbus, BACnet, and MQTT.
4. Monitoring and Visualization:
   • Energy management systems provide users with a graphical interface to monitor and visualize energy data. Dashboards and reports display key performance indicators, trends, and anomalies, making it easier for users to understand energy consumption patterns.
5. Analytics Algorithms:
   • Advanced analytics algorithms are applied to the collected data to identify patterns, anomalies, and areas of inefficiency. These algorithms may include machine learning techniques to predict future energy consumption based on historical data and external factors.
6. Optimization Strategies:
   • Based on the insights gained from analytics, energy management systems recommend or implement optimization strategies. These may include load shifting, demand response, and other energy-saving measures.
7. Automation and Control:
   • Energy management systems can automate the control of various energy-consuming devices and systems, such as HVAC (heating, ventilation, and air conditioning), lighting, and industrial equipment. Automated control helps implement optimization strategies in real-time.
8. Alerts and Notifications:
   • The system can generate alerts and notifications for abnormal energy consumption, equipment malfunctions, or deviations from predefined performance targets. This allows prompt intervention to address issues and maintain efficient operations.
9. Reporting and Analysis:
   • Regular reports and in-depth analysis help stakeholders understand the impact of energy management efforts. These reports can be used for compliance reporting, benchmarking, and continuous improvement.
10. Integration with Other Systems:
    • Energy management systems often integrate with other enterprise systems, such as building management systems (BMS), enterprise resource planning (ERP) systems, and maintenance management systems, for a holistic approach to facility management.

In summary, energy management system analytics leverage data collection, communication, analytics algorithms, and automation to optimize energy usage and improve overall efficiency in various facilities. The goal is to enable informed decision-making, reduce costs, and contribute to sustainability efforts.