- Technology agnostic aggregation of flexibility from multi-energy systems, while including sector coupling consideration
- Periodical assessment of the revenues and identification of the most promising options
- Optimization of the planning of District Heating and Cooling and distribution grids
- Allowing the provision of flexibility services to DSOs and TSOs
SENERGY NETS aims at demonstrating the technical and economic capability of multi-energy systems to decarbonize the heating and cooling, power and gas sectors through renewable energy sources produced locally as well as sector integration, by primarily focusing on promising infrastructure and business models. This ambitious EU funded project aims to leverage locally produced renewable energy sources and sector integration, with a particular emphasis on promising infrastructure and innovative business models. By developing a suite of advanced tools and platforms, SENERGY NETS seeks to optimize the planning and operation of district heating, cooling systems, and distribution grids, integrating sector coupling to provide flexibility services to Distribution and Transmission System Operators.
To do so, SENERGY NETS will develop a set of tools and platforms (up to TRL7/8), that are implemented and tested at three primary pilot sites located in Milan (Italy), Ljubljana (Slovenia) and Paris (France), aimed to optimize the planning of District Heating and Cooling as well as distribution grids with sector coupling consideration and allow the provision of flexibility services to Distribution and Transmission System Operators. Additionally, the replicability of these solutions is evaluated through real case studies in Västerås (Sweden) and Cordoba (Spain), which present varied climatic, economic and geographic conditions. This multi-site approach ensures that the developed methodologies can be adapted and applied across different regions and scenarios.
The project relies on a strong trans-disciplinary consortium, which includes renowned experts who bring a wealth of knowledge, expertise and capacity to the project. The collaborative effort aims to develop, demonstrate and evaluate the tools and services necessary for the effective integration of multi-energy systems. Ultimately, the project aspires to enable significant flexibility in the power system and support the broader objective of decarbonizing the European energy landscape.
Through its innovative approach and extensive collaboration, SENERGY NETS is poised to make a substantial contribution to the transition towards sustainable and renewable energy systems. The project's outcomes will provide valuable insights and practical solutions for policymakers, industry stakeholders, and the scientific community, fostering a more integrated and decarbonized energy future.
CyberGrid’s role
CyberGrid is the workpackage leader for demonstrating market-driven MES flexibility for networks in an industrial area in Ljubljana and will adapt CyberNoc to further develop innovative flexibility aggregation and trading solutions for this demonstration. In addition, CyberGrid is an active contributor in all workpackages.
The developed trading optimizer will allow:
- Technology agnostic aggregation of flexibility from MES (CHP, P2G, CNG compressors, heat pumps,…) and EV charging stations
- API based import of price forecasts from external systems
- API based import time series of future flexibility forecasted and provided by the energy management systems(EMS) of MES
- Filtering for regional flexibilities to provide flexibility on regional level or even substation level
- Periodical assessment of the expected revenues and margins during the upcoming trading period on different flexibility markets and identify the most promising option
- Dynamic switching between different markets, even multiple times within a day, and participate autonomously in the auctions (if API integration is available).
- Partners: 19 partners from 8 EU countries with 3 pilots and 2 case-studies
- Coordinator: EIFER
- R&D programme: HORIZION-IA
- Time frame: 01 Sept 2022 - 31 Aug 2026
This project has received funding from the European Union’s Horizon 2020 research and innovation program under the grant agreement Nº 101075731. “Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the EU Horizon 2020 Research and Innovation Program. Neither the European Union nor the granting authority can be held responsible for them.”
