A method and system for simulating and predicting the hydraulic and thermal coupling of a central heating system
By collecting and analyzing data from centralized heating systems, and combining steady-state hydraulic analysis and dynamic thermodynamic calculation methods, the problem of simulating changes in flow rate and return water temperature at heat exchange stations, which was previously unattainable in existing technologies, was solved. This enabled multi-moment hydraulic-thermal coupling prediction, improving the practicality and completeness of the simulation analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIANJIN THERMAL POWER DESIGNING INST
- Filing Date
- 2026-04-30
- Publication Date
- 2026-06-02
AI Technical Summary
Existing simulation methods for centralized heating systems fail to effectively consider changes in flow rate and return water temperature at heat exchange stations, making it difficult to achieve real-time dynamic prediction capabilities for the pipeline network and lacking the ability to predict the hydraulic-thermal coupling under continuous operation conditions at multiple times.
By collecting pipeline network parameters, heat source operation data, and heat exchange station operation data, and combining them with outdoor air temperature, an initial simulation condition set is generated, and time-varying boundary conditions are set. Using steady-state hydraulic analysis algorithms and dynamic thermodynamic calculation methods, continuous recursive solutions are obtained for the heat exchange station and pipeline network, generating pipeline flow distribution, temperature distribution, and hydraulic operating parameters.
It realizes the hydraulic-thermal coupling prediction of the centralized heating system under continuous operation at multiple times, improves the practicality and completeness of simulation analysis, and can output the flow distribution, temperature distribution and hydraulic operating parameters of the pipeline network.
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Figure CN122133565A_ABST