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...
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Published in | IEEE transactions on sustainable computing pp. 1 - 10 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
24.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 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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ISSN: | 2377-3790 |
DOI: | 10.1109/TSUSC.2024.3449977 |