Energy supply in the dynamic electricity market
Understanding tariffs, controlling costs, minimising risks
How dynamic prices and grid fees affect operations
Decisions with foresight
Electrification not only changes vehicles and infrastructure, but also creates new requirements for energy supply. Electricity tariffs, grid charges and price signals directly affect fleet operating costs. Through detailed analysis of existing energy contracts, tariff structures and load profiles, we identify optimisation potential. We examine how usage duration, peak loads and grid charges shape annual costs – and where savings can be achieved. In addition, we simulate scenarios for dynamic markets: How will prices and fees evolve in the future? What flexibility potential do charging windows, storage use or load management offer? The goal is to align electricity procurement and charging infrastructure to reduce costs, minimise risks and take advantage of market opportunities. This provides companies with strategies that are economically viable today and robust for the future.
Solutions that move you forward
Your Benefits
- Cost transparency through detailed analyses
- Reduction of performance-based charges
- Use of dynamic price signals
- Risk minimisation through scenario evaluation
- Strategies that work today and tomorrow
Our Contrubution
Inventory of energy supply
Analysis of existing tariffs, usage duration, utilisation and performance-based charges.
Cost and efficiency assessment
Calculation of key figures such as cost per kWh or per kilometre.
Tariff and price evaluation
Analysis of current tariff structures and development of cost reduction measures.
Scenario development
Projection of prices, grid fees and consumption over days, weeks and years.
Optimisation of charging windows
Development of strategies linking charging times and power to price signals.
Our Offers
Fleet strategy and technology selection
Comparison of propulsion technologies and concepts to define a sustainable and cost-efficient fleet strategy
Direct comparison of charging systems
Evaluation of charging technologies regarding costs, energy demand, efficiency and future viability
Network planning for e-mobility
Optimization of routes and schedules considering demand, stability, and electrified operations
Sustainability and life cycle assessment
Ecological and economic evaluation via LCA, CO₂ balance and life cycle costs
Vehicle battery system design
Sizing of traction batteries based on energy needs, charging strategy, chemistry and aging models
Vehicle requirements system design
Definition of technical requirements incl. HVAC, driveline and interfaces to charging and operating systems
Intelligent charging algorithms for e-operations
Algorithms for load optimization, peak shaving and battery life extension
Target network planning for charging systems
Simulation and assessment of infrastructure options incl. locations, grid connection and energy balance