A Modular Co-Simulation Platform for Comparing Flexibility Solutions in District Heating Under Variable Operating Conditions
Integrated modeling and simulation are crucial for optimizing cities’ energy planning. Existing sector-specific analyses have implementation limitations in representing interactions across infrastructures, limiting optimization potentials. An integrated framework simulating multiple interacting components from a systemic perspective could reveal efficiency gains, flexibility, and synergies across urban energy networks to guide sustainable energy transitions. Co-simulation approaches are gaining attention for analyzing complex interconnected systems like District Heating (DH). Traditional single-discipline models present limitations in fully representing the interconnectivity between district heating networks and related subsystems, such as those in buildings and energy generation. Therefore, we propose a co-simulation based framework to simulate DH system behavior while easily integrating models of other subsystems and Functional Mock-up Unit (FMU) simulators. We tested this Plug&Play modular framework for Demand Side Management (DSM) and Storage-based strategies, evaluating their effectiveness in peak reduction while lowering the temperatures of the network.
Authors
- Pietro Rando Mazzarino (ORCID: https://orcid.org/0000-0001-8101-0769)
- Elisa Guelpa (ORCID: https://orcid.org/0000-0002-6730-3431)
- Edoardo Patti (ORCID: https://orcid.org/0000-0002-6043-6477)
- Vittorio Verda (ORCID: https://orcid.org/0000-0002-4069-2713)
- Lorenzo Bottaccioli (ORCID: https://orcid.org/0000-0001-7445-3975)
- Martina Capone (ORCID: https://orcid.org/0000-0002-5688-228X)
Institutions
- Politecnico di Torino (IT)
Publication Details
- Journal
- IEEE Transactions on Sustainable Computing
- Published
- 2024-08-26
- DOI
- https://doi.org/10.1109/tsusc.2024.3449977
- Citations
- 3
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.63