Plan Your Energy System With Q-System
Better decisions. Less time. Higher profitability.
How It Works
Define Your System
Model assets, constraints and assumptions in a structured digital twin.
Optimize
Run optimization to determine the optimal configuration and dispatch strategy.
Maximize Revenue
Select the most profitable strategy while minimizing operational and market risk.
Use Cases
Use cases include:
See Q-System in Action
Our Tool
Our tool Q-System is tailored to the specific optimization tasks in the energy sector to determine proposals for the optimal design and operation of energy systems. Key components include:
Simulation
Create a digital twin of your existing or planned energy system and simulate alternative design, operation, and trading strategies.
Design
Find the optimal design for your components and the optimal operating strategy, even for complex multi-use applications.
REST API
Integrate Q-System into your existing energy management or asset trading solutions through open and customizable interfaces.
Your Options
Our Software Q-System is a comprehensive energy system modeling tool designed to simulate a wide range of energy system configurations and technologies. Whether you're dealing with on-grid, off-grid, front-of-meter or behind-the-meter scenarios, Q-System has the flexibility to handle diverse energy system topologies. It supports various technologies such as wind, solar (PV), hydro, conventional generators, combined heat and power (CHP), heat pumps, thermal storage, and battery storage.
Simulation of Income from Renewable Assets
- Simulate income from renewable assets
- Model complex systems and supply restrictions
- Include off-grid and conventional plant combinations
- Integrate custom time series data
Battery Revenue Simulation and Revenue Stacking
- Simulate trading desk operations for storage
- Model multi-use storage scenarios
- Day-ahead and intraday markets
- FCR, aFRR and mFRR participation
- Behind-the-meter use cases (peak-shaving, tariff arbitrage)
Flexible Battery Configuration Simulation
- Compare different battery configurations
- Vary power and energy specifications
- Analyze duration and optimal sizing
- Account for grid restrictions
Accurate Modeling and Parameterization
- Model physical parameters of assets
- Ensure correct interaction behavior
- Define default parameter sets
- Create reusable component templates
Risk Assessment
- Analyze impact of prices, costs and interest rates
- Run multiple scenarios in one simulation
- Quantify variability with sensitivity analysis
- Support robust investment decisions
Curtailment Simulation
- Model renewable curtailment to the grid
- Simulate charging from curtailed energy
- Include losses and cost implications
- Evaluate additional revenue potential
Optimized System Dispatch
- Use Dynamic and Linear programming-based optimizations
- Consider prices, SoC and market conditions
- Determine optimal scheduling and utilization
- Maximize revenue under constraints
UI and Future Readiness
- Transparent overview of configuration parameters
- Automated completeness and consistency checks
- Clear reporting of analysis results
- Hydrogen electrolyzer module and future technologies
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