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Functional Requirements
- Energy Monitoring and Data Acquisition:
- Collect real-time data on energy consumption and production from various sources (e.g., meters, sensors, renewable energy sources).
- Store historical energy data for analysis and reporting.
- Energy Usage Analysis:
- Analyze energy consumption patterns and identify inefficiencies.
- Provide insights into energy usage trends over different periods (daily, weekly, monthly, etc.).
- Energy Forecasting:
- Predict future energy consumption based on historical data and external factors (weather, occupancy, etc.).
- Provide energy demand forecasts to optimize energy purchasing and production.
- Load Management:
- Control and prioritize energy loads to reduce peak demand and avoid penalties.
- Automatically shift non-critical loads during peak periods.
- Demand Response:
- Interface with external utilities or grid operators for demand response events.
- Automatically reduce or shift load in response to demand response signals.
- Renewable Energy Integration:
- Manage and optimize the use of renewable energy sources (e.g., solar, wind) alongside conventional energy sources.
- Monitor and control energy storage systems (e.g., batteries) for optimal usage.
- Alarm and Notification System:
- Trigger alarms for abnormal energy usage, equipment failures, or threshold breaches.
- Send notifications to relevant personnel through various channels (email, SMS, dashboard).
- Reporting and Visualization:
- Generate customizable reports on energy consumption, cost, and efficiency.
- Provide real-time and historical data visualization through dashboards and charts.
- Energy Cost Management:
- Track and optimize energy costs by analyzing tariff structures and energy procurement options.
- Implement strategies to reduce overall energy expenditure.
- User Access and Role Management:
- Provide different levels of access and functionality based on user roles (e.g., admin, operator, analyst).
- Ensure secure login and authentication mechanisms.
Non-Functional Requirements
- Scalability:
- The system should be able to handle increased data loads and additional devices or sites without performance degradation.
- Reliability and Availability:
- The system must have high availability, with minimal downtime, and ensure reliable data acquisition and processing.
- Implement redundancy and failover mechanisms to maintain continuous operation.
- Performance:
- The system should process data and generate insights in real-time or near real-time.
- Ensure the system can handle large volumes of data without delays.
- Security:
- Implement strong encryption for data transmission and storage.
- Ensure secure access control mechanisms to prevent unauthorized access.
- Regularly update the system to protect against vulnerabilities.
- Usability:
- The user interface should be intuitive and easy to navigate, with minimal training required for users.
- Provide clear and actionable insights that are easy to interpret.
- Interoperability:
- The EMS should support integration with various devices, sensors, and other systems (e.g., Building Management Systems, SCADA).
- Ensure compatibility with industry-standard protocols (e.g., Modbus, BACnet).
- Maintainability:
- The system should be easy to maintain, with clear documentation and support for troubleshooting.
- Implement automated updates and patches with minimal disruption to the system.
- Data Integrity and Accuracy:
- Ensure that all collected data is accurate and consistent.
- Implement checks and validation to prevent data corruption or loss.
- Compliance:
- The system should comply with relevant industry standards, regulations, and certifications (e.g., ISO 50001).
- Provide audit trails and reporting features to support regulatory compliance.
- Energy Efficiency:
- The EMS itself should be designed to consume minimal energy and not contribute significantly to the overall energy usage of the facility.