Large-scale optimization for sustainable and resilient energy systems (n. 2022BMBW2A)
Type
PRIN 2022, D.D. n. 104 del 2 febbraio 2022
CUP
C53D23002440006
Principal Investigator
Antonio Fragioni (Università degli Studi di Pisa)
Other research units
UO1 - Antonio FRANGIONI - Università degli Studi di PISA
UO2 - Patrizia BERALDI - Università degli Studi della CALABRIA
UO3 - Michele MONACI - Università degli Studi di BOLOGNA
UO4 - Francesco RINALDI - Università degli Studi di PADOVA
UO5 - Claudio GENTILE - Consiglio Nazionale delle Ricerche - CNR
Duration
28/09/2023 - 28/02/2026
Description
The project develops advanced mathematical optimization models and algorithms for energy systems facing the challenges of sustainability and uncertainty. It addresses large-scale distribution and planning problems, with a particular focus on the integration of electric and hydrogen-powered mobility into energy systems, the management of Renewable Energy Communities, and the design of efficient solution methods for complex structured models. The research suitably combines application-driven modeling with the advancement of optimization methodologies, particularly under uncertainty and using decomposition strategies, thus ensuring scalability and practical impact.
Goals:
- Develop optimization models for the distribution and use of energy that integrate mobility, infrastructure, and storage decisions.
- Investigate advanced methods for uncertain energy problems;
- Design decomposition-based algorithms to handle the complex structure of energy system problems.
- Create decision-support tools for fair and efficient energy user aggregation, fleet management, and infrastructure planning.
- Develop reusable open-source modules for a unified optimization framework, enabling transferability of results across energy and other domains.
