Steam pipe network decoupling steady-state optimization method and device, medium and program product
By constructing a digital simulation model of the steam pipeline network, the generation and separation process of condensate water is explicitly modeled, and hydraulic and thermodynamic parameters are decoupled. This improves the numerical stability and calculation accuracy of the steam pipeline network, solves the problem of inaccurate parameter distribution in existing technologies, and supports the optimized design and operation scheduling of the steam system.
Patent Information
- Application Number
- CN202610019218.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-08
- Publication Date
- 2026-02-06
- Estimated Expiration
- 2046-01-08
AI Technical Summary
Existing technologies neglect the condensation phase change behavior when determining the distribution of physical parameters of steam pipelines, leading to inaccurate calculations of mass and energy conservation. The use of homogeneous flow assumptions and strong coupling methods results in complex calculations, poor convergence, and difficulty in reflecting the hydraulic-thermal coupling characteristics under actual operating conditions.
By constructing a digital simulation model of the steam pipeline network, the generation, separation and removal process of condensate water is explicitly modeled. The hydraulic elements and thermodynamic parameters are decoupled into sequential processes. A closed-loop iterative method is adopted to dynamically update the condensate water volume to correct the mass conservation relationship, thereby achieving numerical stability and physical consistency of the multiphase flow and heat transfer coupled system.
It significantly improves the numerical stability and calculation accuracy of steady-state simulation of steam pipeline networks, and can accurately determine the distribution of physical parameters of transmission pipelines and connecting entities, supporting industrial energy-saving diagnosis and optimization design.