Predictive operating strategies for maximum safety and resilience
In a world where energy supply is becoming increasingly complex, safety-critical infrastructures such as military camps, data centers or strategic energy facilities face a dual challenge: efficiency in peacetime and maximum resilience and endurance in the event of a crisis. By using predictive operating strategies, energy flows can be intelligently controlled and risks identified at an early stage.
Why predictive operating strategies?
Traditional energy supply systems often only react when a problem occurs. Predictive models, on the other hand, use data analysis and AI to identify impending bottlenecks or hazards at an early stage and automatically initiate suitable countermeasures. This is extremely important for particularly vulnerable core systems that have an increased need for self-sufficiency and redundancy in terms of energy supply.
Our approach: simulation, design and optimization of predictive strategies
In order to successfully implement predictive operating strategies, we rely on our specialized design and simulation tool. This enables us to precisely model energy flows, identify potential risks at an early stage and optimize operating strategies. Using this methodology, we can help you to achieve defined targets within a set period of time - taking into account important factors such as acquisition and operating costs.
Real-time control through our predictive models
A central component of our strategy is integrated optimization models, which can also aim to reduce CO₂ emissions, for example. They function like an intelligent control system that works on the basis of the following data:
- Historical consumption data (e.g. load profiles from recent years)
- Operational data (e.g. maintenance plans, weather forecasts)
- Threat analysis (e.g. cyber attacks, physical threats)
- Optimization goals (e.g. autonomy or efficiency increase,CO2 minimization)
Short-term to long-term planning
- Short-term (1 day): Immediate reactions to threats or peak loads.
- Mid-term (1 week to 1 month): Dynamic adjustment of the energy strategy.
- Long-term (1 year): Strategic planning to optimize energy sources and redundancies.
Conclusion: Future-proof energy supply through forward-looking strategic planning and real-time optimization
Predictive operating strategies can take the energy supply of safety-critical infrastructures to a new level. Data-based real-time control, intelligent optimization and resilient systems ensure that particularly vulnerable core systems remain supplied with energy at all times and under the most difficult conditions.
Whether in times of peace or crisis: Those who plan their energy flows with foresight not only ensure efficiency, but also independence and the ability to defend themselves.
