August 17, 2026
TWINVEST has advanced its digital twin framework with the development of a Maintenance and Risk Platform that brings together predictive maintenance, probabilistic risk assessment, and energy management for onshore wind farms. With CERTH contributing strongly to the platform development, the work supports both operational planning and investment-oriented analysis by connecting technical asset condition, exposure to extreme weather events, and energy production performance within one decision-support environment.
The platform addresses a key challenge in wind farm management: operational decisions are rarely isolated. A maintenance intervention may affect the energy production, a weather event could create unaccounted repair costs, and market conditions may influence how assets should be operated. By integrating these different layers, TWINVEST provides a more complete view of wind farm performance, vulnerability, operational cost, and management options.
Core element: the predictive and preventive maintenance toolchain
One of the core elements is the predictive and preventive maintenance toolchain. This functionality utilises operational data, SCADA signals, alarms, downtime records, condition-monitoring inputs, reliability parameters, and economic indicators to assess asset health. The work in this area contributes to transforming complex technical data into practical indicators that can support anomaly detection, degradation interpretation, and maintenance prioritisation. This helps users identify which components or turbines may require attention and how interventions can be ranked appropriately according to technical urgency and impact to the cost.
The risk assessment model: Assessing risk from extreme weather events
A second element considered is the risk assessment model, which focuses on failures linked to extreme weather events, such as high wind, icing, heavy rain or even lightning. This model estimates the potential financial consequences of these events using probabilistic methods, generating indicators such as Expected Loss, Value at Risk, and Unexpected Loss. This enables operators and investors to consider not only expected operation costs, but also exposure to more severe loss scenarios.
Coordinating operations through the Energy Management System
The Energy Management System adds the operational coordination layer. By combining model outputs, SCADA-based performance data, weather information, electricity price signals, and dashboard visualisation, it supports short-term planning and revenue-oriented decision-making. This links technical and risk insights with practical considerations surrounding turbine operations, production expectations, and economic performance.
Altogether, these components demonstrate the value of a unified digital twin approach. Through CERTH’s contribution and the wider collaboration of the TWINVEST consortium, the platform enables users to assess performance, anticipate maintenance needs, and evaluate potential risks within this single framework. At the current stage, it represents an advanced demonstrator rather than a fully calibrated operational system, with further validation expected through the incorporation of real operational data. Nonetheless, it shows how integrated digital tools can support more transparent, resilient, and cost-sensitive wind farm management.
