Q-System

Our software product Q-System enables the modeling and evaluation of complex energy systems. In this process, the physical properties of the technologies used are simulated in detail (e.g., wind turbines, photovoltaics, battery storage, conventional generators, CHP). The algorithm determines the best operating points for all components to manage the energy system while considering specific constraints.

Contact support@qantic.com for a free trial account.

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.

Features

Simulation of Income from Renewable Assets: Q-System enables you to simulate the income generated from renewable asset. But also more complex energy systems and energy supply restrictions can be modeled incl. off-grid applications in combination with conventional power plants. Time series data provided by you is seamlessly loaded into the tool for accurate analysis.
Battery Revenue Simulation and Revenue Stacking: With Q-System, you can simulate actual trading operations carried out by a trading desk for storage assets. The tool allows you to model multi-use storage scenarios and revenue stacking. You can explore the potential of day-ahead, intraday, frequency control reserve (FCR), automatic frequency restoration reserve (aFRR), and manual frequency restoration reserve (mFRR) markets. These markets can also be combined with typical behind the meter use cases such as peak-shaving or grid-tariff-arbitrage.
Flexible Battery Configuration Simulation: Q-System allows you to simulate different battery configurations in the same analysis, considering power and energy specifications. Conducting analysis on different battery durations, optimal sizing dependent on co-located renewable assets, and grid restrictions is effortless.
Risk Assessment Through Sensitivity Analysis: Analyzing the impact of assumptions, such as prices, costs, and interest rates, is crucial for understanding result variability. Q-System enables you to run several scenarios in a single simulation run, providing a sensitivity analysis of results.
Curtailment Simulation and Utilization of Unused Renewable Energy: Q-System considers the curtailment of energy from the renewable asset to the grid and its impact on the battery. By loading curtailment profiles provided by you, the tool accurately simulates the flow of otherwise curtailed energy to the battery, considering electrical losses and cost implications. This allows you to profit from using otherwise unused renewable energy at zero costs to charge the battery.
Accurate Modeling and Parameterization: Q-System takes into account the physical parameters of both the battery and the renewable asset, ensuring accurate modeling of their interactions. Additionally, the tool allows you to set default values for different parameters, ensuring ease of use and consistency in your analyses. Q-System also provides the capability to create component templates that can be reused when creating new projects.
Optimized System Dispatch: Q-System employs a variant of a dynamic programming approach to optimize the dispatch of your energy system. By considering various factors such as electricity prices, market conditions, battery state of charge, and renewable asset output, the tool determines the optimal scheduling and utilization of your assets. This approach maximizes revenue generation and ensures efficient operation of your energy system.
Clear UI and Validation Checks: Through Q-System’s user interface , you can view all selected configuration parameters, giving you a clear overview of your analysis setup. The tool also performs checks to ensure the completeness and correctness of the input data, minimizing the chances of encountering issues in the simulation.
Logic-based Decision Making: Q-System incorporates intelligent algorithms that make decisions based on factors such as battery life extension and degradation. By optimizing revenue potential while avoiding excessive degradation, the tool helps you maximize returns and protect your investment.
Future-Ready: Q-System is designed to adapt to evolving needs. The tool includes a module for optimizing the sizing of hydrogen electrolyzers and performing load fulfillment analysis based on renewable production profiles, enabling you to explore additional avenues for business optimization.

Use Cases

Use cases include: