Imagine a giant battery that can save energy for weeks instead of hours, acting like a massive savings account for electricity. This project creates a digital guidebook and simulation tools to figure out exactly when to store and sell that energy to make the most money. It tests three different ways to store power—using salt, hydrogen, and lithium—to see which works best in the real world.
Renewable energy is intermittent, and current short-term batteries cannot bridge long gaps in production. Companies lack the precise economic tools to know if investing in long-duration storage will actually be profitable across different market conditions.
A suite of high-resolution market simulation tools, digital twins for storage assets, and open-source software for techno-economic optimisation.
If you are a TSO dealing with unstable renewable energy spikes — this project developed digital twins and modelling tools that improve grid resilience and system adequacy. These tools help you decide where to place storage to prevent blackouts.
If you are a storage provider dealing with uncertain investment returns — this project developed techno-economic optimisation tools that validate your technology at TRL 7. This provides the data needed to prove your system's value to investors.
If you are a software company dealing with complex power market volatility — this project developed open-source software for high-resolution market simulation. You can use these harmonised data structures to build better trading algorithms for long-duration assets.
Based on available project data, specific pricing or cost figures are not provided; however, the project focuses on techno-economic optimisation to improve revenue streams.
Yes, the project implements demonstration sites in Spain, Italy, and Canada to validate control strategies at TRL 7, indicating a high level of industrial readiness.
The project explicitly mentions the creation of open-source software to ensure replicability and uptake by the research community and system operators.
The project develops market design recommendations and analyzes energy policy to translate scientific results into practical deployment strategies.
The project runs from 2026-06-01 to 2030-05-31, with validation occurring at demonstration sites during this period.
The consortium is heavily weighted toward commercial application, with 8 industry partners (42% of the group) including TSOs, DSOs, and technology providers. This balance, combined with 7 universities and 3 research centers across 10 countries, suggests a strong pipeline from academic modeling to real-world industrial validation.
Contact NTNU (Norwegian University of Science and Technology) regarding the PowerMAX coordination.
Contact us to find out how to integrate these open-source LDES modeling tools into your energy portfolio.
