Study of process data in autothermal reforming of LPG using multivariate data analysis [An article from: Chemical Engineering Journal] Buy on Amazon
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Study of process data in autothermal reforming of LPG using multivariate data analysis [An article from: Chemical Engineering Journal]

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Book Details
Publisher Elsevier
ISBN / ASIN B000PKI3HC
ISBN-13 978B000PKI3H9
Marketplace France 🇫🇷
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Description
This digital document is a journal article from Chemical Engineering Journal, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Autothermal reforming of LPG was studied in a fixed-bed reactor by varying controlled parameters, such as reforming temperature, steam-to-carbon ratio (S/C), oxygen-to-carbon ratio (O/C) and catalyst. The conditions tested were two nickel-based catalysts, at 680-820^oC, with S/C of 0.30-1.9 and O/C of 0.64-1.4. In addition to controlled variables, it was found vapor composition of LPG withdrawn were not constant at different levels of tank exhaustion. The fuel vapor contained more heavy components and odorant-ethyl mercaptan as the bottle approached empty. Multivariate data analysis method, projections to latent structures (PLS), provided quantitative analysis of the effects of temperature, S/C, O/C, fuel composition and catalyst activity on reformate gas composition. Temperature, S/C and O/C were found to be the most important parameters for fuel conversion and avoiding carbon deposition. Sulfur poisoning by odorant was the main cause of catalyst deactivation. Composition of hydrocarbons in LPG vapor was shown to affect the autothermal reforming process, but the influence was less significant. Under test conditions, reformate gas composition generally approached equilibrium. The kinetically controlled methane reduction was well predicted by a PLS regression model.
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