Functional requirements of Wind Energy Management System with non-functional

Functional Requirements

1. Wind Turbine Monitoring
   • Real-Time Data Collection: Monitor real-time data from wind turbines, including wind speed, rotor speed, power output, and operational status.
   • Performance Metrics: Track performance metrics such as capacity factor, efficiency, and energy yield.
2. Energy Production Management
   • Energy Forecasting: Predict energy production based on weather forecasts, turbine performance, and historical data.
   • Production Reporting: Generate reports on energy production, including daily, monthly, and annual summaries.
3. Fault Detection and Diagnostics
   • Fault Alerts: Detect and alert for equipment faults or performance issues, such as mechanical failures or abnormal operating conditions.
   • Diagnostic Tools: Provide tools for diagnosing and troubleshooting issues, including detailed error logs and diagnostic reports.
4. Maintenance Management
   • Scheduled Maintenance: Manage scheduled maintenance activities, including preventive and corrective maintenance tasks.
   • Maintenance Records: Track and store maintenance records, including dates, tasks performed, and parts replaced.
5. Data Analysis and Optimization
   • Performance Analysis: Analyze data to identify trends, optimize turbine performance, and improve efficiency.
   • Predictive Analytics: Use predictive analytics to anticipate potential issues and optimize maintenance schedules.
6. Grid Integration
   • Energy Dispatch: Manage the integration of generated energy into the grid, including dispatching and balancing power supply.
   • Grid Monitoring: Monitor grid parameters and ensure compliance with grid requirements and standards.
7. User Management
   • Role-Based Access: Define and manage user roles and permissions (e.g., operator, engineer, administrator).
   • User Authentication: Secure login and authentication mechanisms to control access to the system.
8. Reporting and Visualization
   • Dashboards: Provide interactive dashboards for visualizing real-time and historical data, including graphs, charts, and maps.
   • Custom Reports: Generate and export custom reports based on specific data criteria or performance metrics.
9. Alarm and Notification System
   • Event Notifications: Send notifications for critical events, alarms, and system status updates via email, SMS, or other channels.
   • Threshold Alerts: Set thresholds for various parameters and receive alerts when these thresholds are breached.
10. Integration
    • SCADA Integration: Integrate with Supervisory Control and Data Acquisition (SCADA) systems for comprehensive monitoring and control.
    • API Support: Provide APIs for integration with other systems, such as weather data services or enterprise resource planning (ERP) systems.

Non-Functional Requirements

1. Performance
   • Scalability: The system should handle increasing numbers of turbines and data points without performance degradation.
   • Speed: Ensure fast data processing and real-time monitoring to support timely decision-making.
2. Reliability
   • Uptime: High availability with minimal downtime to ensure continuous operation and monitoring of turbines.
   • Data Integrity: Accurate and consistent handling of performance and operational data.
3. Security
   • Authentication/Authorization: Secure access controls to protect system functionality and sensitive data.
   • Data Encryption: Encrypt data both in transit and at rest to safeguard information.
   • Compliance: Adhere to relevant data protection regulations and industry standards for managing data.
4. Usability
   • User Interface (UI): Intuitive and user-friendly design for ease of navigation and operation.
   • User Experience (UX): Ensure a smooth and efficient workflow for monitoring, maintenance, and reporting.
5. Compatibility
   • Browser Support: Ensure compatibility with major web browsers (e.g., Chrome, Firefox, Safari).
   • Platform Compatibility: Support various operating systems and devices, including mobile devices.
6. Maintainability
   • Code Quality: Well-structured and documented code for ease of maintenance and future updates.
   • Updates: Regular updates to address bugs, improve features, and adapt to new technologies or requirements.
7. Accessibility
   • Inclusivity: Adhere to accessibility standards (e.g., WCAG) to support users with disabilities.
   • Multi-Language Support: Provide multilingual capabilities to accommodate a diverse user base.
8. Backup and Recovery
   • Data Backup: Regular and automated backups to prevent data loss and ensure recovery in case of system failures.
   • Disaster Recovery: Procedures for restoring system functionality and data after significant disruptions.
9. Interoperability
   • Standards Compliance: Adherence to relevant standards and protocols to ensure compatibility with other monitoring systems, data sources, and tools.