The EU funded SINNOGENES project addresses the European Green Deal and the Long-Term Strategy for decarbonization, emphasizing on electrification and renewable energy deployment. It focuses on innovative energy storage solutions to tackle massive penetration of renewables, the electrification of sectors and the residual load variability. By developing the SINNOGENES innovative tools, the project will integrate storage beyond current capabilities, promoting sustainability and scalability. In this presentation we will tackle the SINNOGENES storage innovations that are targeting the coordination of multi-energy carriers and the industrial environments.
ISGAN Webinar - Storage technologies in multi-energy carriers and industrial environments in the SINNOGENES project
May 22, 2024, 13:00 CEST - ISGAN Virtual Learning and SINNOGENES project invite you to an insightful webinar on the role of storage technologies in the future power system
Intended audience
The intended audience for this webinar could include policymakers and regulators involved in energy transition strategies, researchers and academics interested in renewable energy integration and storage technologies, industry professionals in the energy sector, including renewable energy developers and energy storage solution providers, factories and industrial clusters, as well as environmental organizations and advocates focused on sustainability and the European Green Deal objectives.
Key messages
• Renewables and storage (should) ‘go together’, because both support decarbonisation in a complementary way in all sectors. Once you favour/support the one you should do the same for the other in order to support the decarbonisation target.
• Digitalization and business models are two important pillar that can foster storage wide integration into the grid.
• Development and integration of an optimization tool for the definition of an optimal energy supply system based on renewable sources as well as its operation for the decarbonization of the industrial process.
• Data-driven modelling combined with physics-based modelling and parallelization techniques to reduce computational efforts.
• Development of an optimal scheduling tool for multi-technology storage systems, including lithium-ion (Li-ion) and vanadium redox flow batteries (VRFB), based on a mixed integer linear problem (MILP);
• Development of a linear model for the VRFB that captures the fundamental dynamics of its operation for usage in a MILP;
• Integration of the Rainflow Counting Algorithm (RCA) in a MILP to estimate the degradation of a storage system online and consider its inherent cost in the objective function.
• Inclusion of the possibility of participating in day-ahead flexibility markets in the basic MILP, through the definition of operation bands shaped by the storage activity
• Integrating electric grids with gas and heat networks will provide greater flexibility in resource management and enable synergistic opportunities for combined storage solutions.
• Incorporating cutting-edge monitoring and control technologies into current grid is essential for achieving optimal energy management and accomplishing decarbonization targets.
• The implementation of rapid-response energy storage prototypes is crucial to ensure the resilience and stabilization of the current grid infrastructure.