Objective
Pentagon is a 3-years research and innovation project that will investigate the potential of wider deployment of energy conversion technologies and strategies at district-level, with the aim to foster flexibility in the low-voltage and medium-voltage grid. The rationale that underlies Pentagon approach is that multi-vector smart districts can be the key enablers of future smart grids, provided their flexibility capabilities are augmented with adequate energy conversion technologies. To this end, Pentagon will deliver two key technology assets: a highly efficient power-to-gas installation sized for coupling with typical district heating plants and a multi-vector multi-scale district energy management platform for the combined monitoring and management of all district energy carriers. The power-to-gas technology will achieve a 15 to 25% energy gain compared to state-of-the-art performances. The multi-vector multi-scale district energy management platform will achieve 15 to 20% more flexibility at district-level, allowing for a 25% increase of renewable penetration, by leveraging building and district power to heat conversion capabilities. These impacts will be thoroughly assessed through an iterative validation and demonstration roadmap that will start with lab-scale individual component testing, continue with a focused deployment in district-scale experimental facilities, and conclude with a wider simulation-based assessment at distribution grid level that will rely on a real smart district from a project partner. Based on the results of the validation and demonstration, Pentagon will be able to implement an exploitation roadmap aimed both at (a) preparing the commercialization of the results (5-years post-project horizon) and (b) the definition and targeted dissemination of innovative local energy aggregation business models, leveraging a 200+ member stakeholder community and connections between PENTAGON and relevant market design standardization initiatives.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- social sciencessociologygovernance
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power generation
- social scienceseconomics and businessbusiness and managementbusiness models
- engineering and technologyenvironmental engineeringenergy and fuelsenergy conversion
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Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
27100 Pavia
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.