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Smart RDM for Renewable Energy Sources

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Smart RDM to portal wspierający proces optymalizacji produkcji energii odnawialnej.

Monitorowanie i analiza stanu produkcji poprzez:

  • Podgląd wskaźników wydajności w czasie rzeczywistym
  • Wykrywanie nieprawidłowości
  • Ograniczenie awarii
  • Prognozowanie produkcji
  • Monitorowanie planów produkcji

Smart RDM is a portal that integrates all process and business data necessary to improve production efficiency

  • Visualization of operating status of devices: wind turbines, photovoltaic panels, energy storage
  • Diagnostics of equipment operation
  • Forecasting of production
  • Fault detection
  • Based on equipment ranking, using the current status of e.g. a wind turbine and its importance
  • Based on power curve analysis
  • Energy supply based on more accurate production forecasting
  • Repairs and maintenance based on actual condition of equipment
  • Heat consumption optimisation - savings calculator (calculation of savings for different schedules)

What are the benefits of Smart RDM

Supportfor anomaly detection process
Prognozowanie produkcji

Optimal maintenance planing
Key infrastructure status information, in real time  
Improving the company's operating margins
Reducing the cost of fault rectification

Smart RDM - standard version
Optimization in Five Steps

01. Data Integration

The first step is to integrate all key real-time production data.

Effect

Create a single source of truth for business systems securely separated from critical infrastructure.
Reporting, Monitoring and Analysis System
Online Monitoring

Visualization of analysis synoptics Alarm handling
Reporting

Operational and business
Optimisation

Calculation and advanced analysis module
Central Data Repository
Contract data Billing information
Billing systems
Measurement and process data (variables)
Industrial database SQL, SCADA, AIUT
Mapa lokalizacji farm wiatrowych
Węzeł cieplny

02. Building context

The second step is to map the technical infrastructure and production processes in a digital model. Appropriate codification, delivered during implementation, will enable monitoring and analysis of wind or photovoltaic farms. Each monitored element will have its own unique code in the system linked to the corresponding data from the measuring devices.

Effect

Ability to reliably compare infrastructure elements, analyze them and quickly add new elements to the model, such as a new factory, production line, sensor or indicator.

03. Visualization and monitoring

The third step is the digital mapping of the processes on interactive synoptic masks. For each type of device (e.g. turbine) a digital schematic is prepared so that operators can view the situation in real time.

Effect

Overview of current and historical technical parameters of machines. Quick reaction to events.
Wykres efektywności turbiny
Sprawność wymiennika
tabela pracy transformatorów
Zarządzanie zdarzeniami

04. Alarms and notifications

The system allows you to configure alarm thresholds and anomaly notifications for irregularities, schedule overruns, or performance. Events are integrated with notifications sent to defined users. The system operator has the ability to redirect events to the appropriate service along with the necessary information about the event and its location

Effect

Automation and reduction of failure handling time.

05. Analysis and reporting

The system enables efficient reporting. Reports can show the execution of plans, summary of machine status and other business indicators needed to analyze production efficiency.

Effect

Presentation of results to managers and identification of areas for optimisation.
Wykres predykcji produkcji energii
Raporty z węzłów

Smart RDM - extended version

Having met the basic needs of equipment condition monitoring with Smart RDM, we are now meeting the new challenges of production optimization. The business environment will push for continuity of energy supply, reduced downtime and higher equipment efficiency.

We use specialized computational algorithms in the Big Data module to clean and populate data, detect anomalies to avoid failures, forecast production linked to maintenance schedules and customer requirements.
Zaawansowana predykcja zużycia energii

Examples of implementation

Monitoring of wind farm performance

E.ON Climate & Renewables has built a SmartECR platform to optimise operations at its 5.3 GW assets.