Pressure Drop Coefficient Identification of Steam Network Model Based on Genetic Algorithm
| Autor: | Yong Ma, Li Ye Yu, Yan Guang Sun |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Flexibility (engineering)
Engineering business.industry Process (computing) Control engineering General Medicine Physics::History of Physics Physics::Geophysics Pipe network analysis Set (abstract data type) Identification (information) Physics::Plasma Physics Control theory Robustness (computer science) Genetic algorithm Astrophysics::Earth and Planetary Astrophysics business Network model |
| Zdroj: | Applied Mechanics and Materials. :1388-1392 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.271-272.1388 |
| Popis: | This article establish a coupled thermo-hydraulic mathematical model for steam network by adopting a set of equations The model is simplified according to steam flow features in pipe networks. It is concluded that coupled iteration can be employed in steam network. It is well-known fact that, Steam Network mathematical model must be identified first. Here, identification is defined as process in which a number of Steam Network model parameters are adjusted until the model mimics behavior of the real Steam Network as closely as possible. The case study demonstrates that the integrated identification method gives modelers the maximum flexibility to improve the model accuracy and robustness. Test result indicates the advantage of genetic algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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