Fast Prediction Method for Steady-State Heat Convection

Yì Wáng, Bo Yu, Shuyu Sun

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


A reduced model by proper orthogonal decomposition (POD) and Galerkin projection methods for steady-state heat convection is established on a nonuniform grid. It was verified by thousands of examples that the results are in good agreement with the results obtained from the finite volume method. This model can also predict the cases where model parameters far exceed the sample scope. Moreover, the calculation time needed by the model is much shorter than that needed for the finite volume method. Thus, the nonuniform POD-Galerkin projection method exhibits high accuracy, good suitability, and fast computation. It has universal significance for accurate and fast prediction. Also, the methodology can be applied to more complex modeling in chemical engineering and technology, such as reaction and turbulence. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Original languageEnglish (US)
Pages (from-to)668-678
Number of pages11
JournalChemical Engineering & Technology
Issue number4
StatePublished - Mar 14 2012

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The study is supported by the National Natural Science Foundation of China (No. 51176204 and No. 51134006), and the State Key Laboratory of Multiphase Flow in Power Engineering (Xi'an Jiaotong University).

ASJC Scopus subject areas

  • General Chemical Engineering
  • General Chemistry
  • Industrial and Manufacturing Engineering


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