Energy Management System
MASS Energy Management System
MASS Energy Management System is designed to monitor & reduce energy consumption, improve the utilization of the system, increase performance & reliability, predict & forecast using our advanced MASS AI engine electrical system performance, and optimize energy usage to reduce cost.
Renewal & power generation companies committed to sustainable energy solutions. These companies believe in leveraging the power of technology to optimize the performance of power plants and maximize energy output. In line with this, MASS Energy Management System integrates data from multiple solar power plants into a on-premises/cloud-based platform and get analytics and a decision dashboard for efficient management of energy assets.
Integration of Data:
Multiple power plants located across different geographical locations can be integrated with MASS Energy Management. These plants generate large amounts of data such as energy output, weather conditions, equipment performance, and maintenance logs. Integrating this data into a cloud-based platform will enable to access, analyze, and act upon the data in real-time, leading to more efficient plant operations and maintenance.
Analytics:
The integrated data will be processed and analyzed using advanced analytics tools to provide insights into the performance of our solar power plants. We will use machine learning algorithms to detect patterns and anomalies in the data to identify potential issues and proactively take corrective actions. The analytics will also provide a comprehensive view of the health of our solar power plants, enabling to optimize their performance and maximize energy output. Users can generate various types of reports e.g.
- Integration with existing MES & DCS system for generation Phase wise report.
- Generation of multiple report like : Power failure report , Plant energy report, motor run report. etc
Decision Dashboard:
The analytics results will be presented in an easy-to-use dashboard that will provide real-time visibility into the performance of solar power plants. The dashboard will include key performance indicators such as energy output, equipment health, and maintenance schedules among others. It will also provide alerts and notifications for any issues that require immediate attention. The decision dashboard will enable to make informed decisions and take proactive actions to optimize the performance of solar power assets.
Benefits:
The proposed integration of data, analytics, and decision dashboard will provide Fortum with several benefits, including:
- Improved efficiency and performance of our solar power plants
- Reduced downtime and maintenance costs
- Improved asset management and planning
- Enhanced safety and reliability of our solar power assets
- Increased energy output and revenue generation
Sensors and data collection devices at solar power plants gather real-time data on energy production, equipment performance, and environmental conditions such as temperature and weather patterns. This data will be transmitted to the cloud-based platform using secure communication protocols.
The platform will also leverage advanced data processing techniques such as data transformation, filtering, and normalization to ensure that the data is accurate and consistent across all sources. This will enable Fortum to perform real-time analysis on the data and identify potential issues in solar power plants.
Moreover, the integrated data will enable to perform predictive maintenance, where we can anticipate equipment failures and schedule maintenance activities in advance, reducing unplanned downtime and minimizing disruptions to energy production. The data will also provide valuable insights into the environmental conditions that affect solar power plants.
The integration of data from multiple solar power plants into a cloud-based platform will involve collecting and integrating various datasets
- Energy production data
- Weather data
- Equipment performance data
- Maintenance logs
- Geographic data
- Financial data
- Environmental data
- Energy consumption data
- Regulatory data
Al powered software system to maximize efficiency of Solar Power Plants
Solution
- Forecasting power generation
- Predictive Maintenance
- Diagnostics
Architecture
- Data (Current, Voltage, Temperature, radiance, Instrumentation)
- Local Plant Historian Secure Data Communication Cloud
Process
- Data Integration
- Al &Analytics
- Decision Dashboards
- Implementation Time 3 Months.
Benefits
- Increased uptime
- Reduce penalties : 13%
- Reduce repair & maintenance cost
- Competitive advantage in new bids
Data Tags – Timeseries
Plant Tag Mapping
Fault Data Examples
Data Flow
