Periodic Reporting for period 2 - SINNOGENES (STORAGE INNOVATIONS FOR GREEN ENERGY SYSTEMS)
Reporting period: 2024-05-01 to 2025-08-31
SINNOGENES was born out of the need to develop a new era of sustainable energy systems, recognizing the need for innovative storage solutions toward environmental sustainability and increased reliance on renewable energy sources. Motivated by the urgency to address climate change and transition towards cleaner energy, SINNOGENES focuses on evolving energy storage technologies. The project acknowledges that effective storage is the cornerstone for the successful integration of renewable energy into the grid, ensuring reliability, resilience, and maximizing utilization of green resources. In the face of evolving environmental challenges, SINNOGENES aims to play a key role in advancing storage innovations, fostering a future where energy systems are not only efficient but also environmentally responsible, contributing significantly to the ongoing global efforts for sustainable, low-carbon societies and economies.
SINNOGENES has clear objectives focused on transforming energy storage landscapes for a greener future. Firstly, the project aims to develop and showcase the SINNO energy toolkit—a versatile suite of energy storage technologies like batteries, flywheels, and power-to-gas systems. These technologies will be harnessed across various settings, from industrial microgrids to urban transport, to boost reliance on renewable energy sources and reduce carbon emissions. Additionally, SINNOGENES seeks to integrate these innovative storage solutions into real-world scenarios, demonstrating their effectiveness in enhancing energy efficiency, resilience, and flexibility. By engaging diverse end-users and sectors, the project intends to provide practical, scalable, and economically viable models for energy storage adoption.
SINNOGENES has clear objectives focused on transforming energy storage landscapes for a greener future. Firstly, the project aims to develop and showcase the SINNO energy toolkit—a versatile suite of energy storage technologies like batteries, flywheels, and power-to-gas systems. These technologies will be harnessed across various settings, from industrial microgrids to urban transport, to boost reliance on renewable energy sources and reduce carbon emissions. Additionally, SINNOGENES seeks to integrate these innovative storage solutions into real-world scenarios, demonstrating their effectiveness in enhancing energy efficiency, resilience, and flexibility. By engaging diverse end-users and sectors, the project intends to provide practical, scalable, and economically viable models for energy storage adoption.
During the second reporting period, SINNOGENES advanced from development to deployment, integration, and early operation of the technologies and digital tools across all six demonstration sites. The SINNOGENES Middleware was fully implemented, enabling secure data exchange and interoperability among tools developed in WP3–WP5. All connectors were deployed, and integration with local systems and SCADA interfaces began.
At the demo sites, the storage technologies progressed to installation, commissioning, and initial operation. In Demo 1, the supercapacitor, flywheel, geothermal boreholes, and heat pump were installed and connected to the EMS, which now supports monitoring of electrical and thermal networks. In Demo 1, the LiFePO₄ system, second-life battery, VRFB, and the TES unit entered operation or reached final assembly, with the MOMENTO tool generating day-ahead schedules. In Demo 3, the combined electricity-gas management tool was integrated with the middleware and the H2 infrastructure. In Demo4, the CoDeOpT tool produced optimal design and operational strategies and connected to the demo systems. In Demo 5, the digital twin, forecasting tool, and day-ahead optimizer were completed and integrated through the connector. Last, in Demo 6, data-driven mobility services for driving behaviour, refuelling, and hydrogen production modelling were deployed and linked to the middleware.
Finally, for all Demos, data collection, validation workflows, and KPIs, SINNOGENES partners worked to support environmental, economic, and technical assessment. The period concluded with all tools integrated, most technologies installed, and validation activities prepared for the final phase of the project.
At the demo sites, the storage technologies progressed to installation, commissioning, and initial operation. In Demo 1, the supercapacitor, flywheel, geothermal boreholes, and heat pump were installed and connected to the EMS, which now supports monitoring of electrical and thermal networks. In Demo 1, the LiFePO₄ system, second-life battery, VRFB, and the TES unit entered operation or reached final assembly, with the MOMENTO tool generating day-ahead schedules. In Demo 3, the combined electricity-gas management tool was integrated with the middleware and the H2 infrastructure. In Demo4, the CoDeOpT tool produced optimal design and operational strategies and connected to the demo systems. In Demo 5, the digital twin, forecasting tool, and day-ahead optimizer were completed and integrated through the connector. Last, in Demo 6, data-driven mobility services for driving behaviour, refuelling, and hydrogen production modelling were deployed and linked to the middleware.
Finally, for all Demos, data collection, validation workflows, and KPIs, SINNOGENES partners worked to support environmental, economic, and technical assessment. The period concluded with all tools integrated, most technologies installed, and validation activities prepared for the final phase of the project.
For the second reporting period, SINNOGENES generated several scientific outputs related to contributions in areas such as multi-vector optimisation, data-exchange architectures, and advanced storage control. These publications provide evidence that the methods and tools developed in SINNOGENES extend beyond existing research, particularly in the operation of heterogeneous storage assets and in the implementation of multi-energy interoperability.
The project validated fast-response storage technologies (supercapacitors and a flywheel) under controlled tests and early operational conditions in Demo 2. Their integration with geothermal storage and district-heating management provides new experimental data not commonly available in literature, supporting analysis of short-duration flexibility and coupled thermal-electrical control. In industrial microgrids (Demo 4), SINNOGENES demonstrated joint optimisation of Li-ion, second-life Li-ion, VRFB, and thermal storage systems, moving beyond typical single-technology modelling approaches. In Demo 5, the combined use of a digital twin, forecasting tools, and day-ahead optimisation achieved measurable reductions in renewable curtailment, with results aligned with the project’s scientific outputs. Last in Demo 6, SINNOGENES deployed data-driven refuelling, driving-behaviour modelling, and hydrogen-production optimisation in an operational fleet environment. This was practical evidence on the interaction between forecasting models, vehicle data, and hydrogen infrastructure, extending earlier conceptual work.
Cumulatively, SINNOGENES' work so far is a strong argument for the potential impact beyond the individual demonstrations. The validated architecture (WP2) and workflows provide reference models for multi-energy system integration, which can support future deployments where storage, flexible demand, and sector-coupling must operate under common data-governance and optimisation frameworks. Finally, our findings also offer reproducible methods and datasets that can inform future research, standardisation work, and system-planning studies at the EU level.
The project validated fast-response storage technologies (supercapacitors and a flywheel) under controlled tests and early operational conditions in Demo 2. Their integration with geothermal storage and district-heating management provides new experimental data not commonly available in literature, supporting analysis of short-duration flexibility and coupled thermal-electrical control. In industrial microgrids (Demo 4), SINNOGENES demonstrated joint optimisation of Li-ion, second-life Li-ion, VRFB, and thermal storage systems, moving beyond typical single-technology modelling approaches. In Demo 5, the combined use of a digital twin, forecasting tools, and day-ahead optimisation achieved measurable reductions in renewable curtailment, with results aligned with the project’s scientific outputs. Last in Demo 6, SINNOGENES deployed data-driven refuelling, driving-behaviour modelling, and hydrogen-production optimisation in an operational fleet environment. This was practical evidence on the interaction between forecasting models, vehicle data, and hydrogen infrastructure, extending earlier conceptual work.
Cumulatively, SINNOGENES' work so far is a strong argument for the potential impact beyond the individual demonstrations. The validated architecture (WP2) and workflows provide reference models for multi-energy system integration, which can support future deployments where storage, flexible demand, and sector-coupling must operate under common data-governance and optimisation frameworks. Finally, our findings also offer reproducible methods and datasets that can inform future research, standardisation work, and system-planning studies at the EU level.