No storage dispatch data loaded. Select a storage asset from the Grid Analysis page. If no storage assets appear there, verify that result export is enabled in the storage configuration for this scenario.
Storage & Flexibility — Operation & Market Participation
This page characterises how battery storage systems behave when their charging and discharging is steered by market prices. It presents the economic dimension — market participation and revenue — alongside the physical dimension: power flows and state-of-charge trajectories. The analysis is descriptive and neutral; no 'optimal' operation is implied without a defined reference or objective function.
Key questions
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How does the battery respond to day-ahead and intraday price signals?
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How are charge/discharge cycles distributed over the simulation period?
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What trade-offs exist between market revenue and battery utilization depth?
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Are there periods of high operational intensity or inactivity?
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What operating pattern (price arbitrage, peak shaving, frequency response) dominates the strategy?
Usage note
Navigate here from the Grid Analysis page by selecting a storage asset. Results depend on the specific control strategy and configuration used in the scenario.
Methodology
Each storage unit is run by a control strategy — an optimiser that decides when to charge and discharge. Day-ahead, intraday and spot market prices are inputs to that optimisation, so the dispatch shown here follows the configured strategy rather than being fitted after the fact.
Research-as-a-Service platform for studying the interaction between flexible energy assets, electricity markets, and distribution-grid operation.
Research & Development
The COSIM Cockpit platform is developed within the collaborative research and development activities of the Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics (IAEW) — Active Energy Distribution Grids group — at RWTH Aachen University and the Fraunhofer FIT research team Digitale Energie. The work combines academic expertise in active distribution networks, grid operation and planning, and flexibility integration with applied digital-energy system development and engineering-oriented analytical tooling.
Contact
Primary contact for this platform:
Steffen Kortmann
steffen.kortmann@fit.fraunhofer.de+49 241 80-92946Legal Notice
The COSIM Cockpit is a research and engineering platform developed at IAEW RWTH Aachen University and Fraunhofer FIT. Results are based on simulation models, modelling assumptions, and scenario-specific input data. Real-world system behaviour may differ from simulated outcomes. Analyses do not constitute operational guarantees or binding engineering assessments.
No warranty is provided regarding completeness, correctness, or fitness for a specific operational purpose. Users are responsible for independently validating conclusions before applying them to real-world decisions.
Research use only: This platform is designed exclusively for research and academic analysis. Results must not be used as the sole basis for investment, operational, or regulatory decisions without independent engineering validation.
Market data: Electricity price time series used in simulations (day-ahead/intraday from ENTSO-E Transparency Platform and EPEX Spot) are subject to the respective platform terms of use.
Confidentiality: Simulation scenarios, configuration files, and result data may contain confidential project-specific information. Exported results and reports must not be shared beyond the intended audience without prior authorisation.
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Technology & Open-Source Components
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Built on open-source software: Reflex (Apache 2.0), Plotly (MIT), pandapower (BSD 3-Clause), SimBench (Open Database License), pandas & NumPy (BSD 3-Clause).