The Problem

Energy prices, future demand curves, and regulatory frameworks are volatile or difficult to predict, while industrial energy systems consist of many interconnected components with complex interactions. Making future decisions based on past experience or individual key performance indicators is becoming increasingly difficult, and new approaches are needed.

The Solution

Mathematical design optimization models the entire energy system and precisely maps complex dependencies in grids, storage facilities, generators, and processes. This allows for the targeted identification of the optimal design decision and the best compromise between investment and operating costs, flexibility, resilience, and sustainability. The optimization addresses uncertainties through scenario and sensitivity analyses, makes assumptions transparent, reduces planning risks, and accelerates the path to robust, evidence-based decisions.

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Please feel free to contact us if you are interested in scientific exchange and further information about a possible joint project.