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.

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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
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article

A Modular Co-Simulation Platform for Comparing Flexibility Solutions in District Heating Under Variable Operating Conditions

Pietro Rando Mazzarino, Elisa Guelpa, Edoardo Patti, Vittorio Verda et al.
3 citations
IEEE Transactions on Sustainable Computing
Integrated Energy Systems Optimization
0.63
article

A Modular Co-Simulation Platform for Comparing Flexibility Solutions in District Heating Under Variable Operating Conditions

Pietro Rando Mazzarino, Elisa Guelpa, Edoardo Patti, Vittorio Verda, Lorenzo Bottaccioli, Martina Capone
article en
3 citations

Abstract

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.

IEEE Transactions on Sustainable ComputingVol. 10(2)
Politecnico di Torino (IT)
Openalex Percentile: Top 32%
Integrated Energy Systems Optimization
0.63
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