Huijie Huang¹, Jingfa Li^2,*, Xu Sun^1,*, Bo Yu²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011026

Abstract The blending of hydrogen into natural gas provides an optimal solution for large-scale hydrogen transport, utilizing existing natural gas pipelines for mixed conveyance. The thermophysical parameters of hydrogen-enriched natural gas (HENG) significantly influence the design and operation of gas transmission networks. Therefore, accurate prediction of the thermophysical parameters of HENG is crucial. However, due to the effects of hydrogen blending, the adaptability of commonly used equations of state (EoSs) to HENG remains uncertain, especially at high hydrogen blending ratios (HBRs). In this study, the accuracy of the EoSs of PR, BWRS, AGA8-92DC, and GERG-2008 is… More >

Chein-Shan Liu¹, Li-Wei Liu², Hong-Ki Hong²

CMES-Computer Modeling in Engineering & Sciences, Vol.17, No.1, pp. 1-18, 2007, DOI:10.3970/cmes.2007.017.001

Abstract In this paper we are concerned with the parameters identification of the inverse heat conduction problems governed by linear parabolic partial differential equations (PDEs). It is the first time that one can construct a closed-form estimation method for the inverse thermal problems of estimating the spatial-dependent thermophysical parameters. The key points hinge on an establishment of a one-step group preserving scheme (GPS) for the semi-discretization of PDEs, as well as a closed-form solution of the resulting algebraic equations. The new method, namely the Lie-group estimation method, has four advantages: it does not require any prior More >