Optimise the life cycle of energy systems with Opus Suite
Typical scenarios where Opus Suite adds value
Predictive maintenance planning
With Opus Suite, operators of energy networks can employ predictive logistical planning and precise RAMS analyses to optimise servicing and spare parts provisioning. This enhances equipment availability and reduces unplanned shutdowns.
Reducing TCO and cost optimisation
Through LCC analysis and data‑driven asset management, Opus Suite enables cost control across the entire life cycle of energy systems. Organisations thereby achieve operational cost efficiency even under increasing capacity demands.
Strategic decision making for critical infrastructure
Opus Suite provides support for data driven strategic decision making. Through simulation modelling and availability analysis, infrastructure can be optimised and various operational scenarios anticipated.
Real results, measurable savings, concrete decisions
Availability analysis in wind farms
Opus Suite is used for availability analysis in wind farms. Through advanced LCC and RAMS analysis and simulations in Opus Suite, critical components can be identified, optimal logistic support determined, and maintenance costs reduced. Operators thereby achieve higher system availability and long‑term cost optimisation.
Planning of support infrastructure for offshore wind farms
In planning the support infrastructure for offshore wind farms, Systecon’s Opus Suite was used to model maintenance and spare parts provisioning scenarios. The SIMLOX module enabled simulation of operational support and highlighted areas requiring logistic reinforcement. Through predictive logistical planning, operators increased operational availability by a few percentage points and reduced the number of unplanned service interventions, thus contributing to a reduced TCO for the entire project.
Modelling of complex systems
Opus Suite and its SIMLOX module are employed in critical infrastructure projects where modelling of complex systems and long‑term support is required. Public sector users leverage simulation and analytics for strategic life cycle planning, optimizing investments and minimising outages. The outcome is development of recovery scenarios and effective decision support that mitigates the risk of inefficient investments and fosters sustainable growth.
Do you want to decide based on data, not on intuition?
