Analysis and prediction of product distributions of the Fischer-Tropsch synthesis

Autor:	Charles N. Satterfield, Timothy J. Donnelly, Ian C. Yates
Rok vydání:	1988
Předmět:	Chemistry General Chemical Engineering Energy Engineering and Power Technology Mineralogy Experimental data Fischer–Tropsch process Regression analysis Chemical reactor Regression Fuel Technology Distribution (mathematics) Product (mathematics) Biological system Nonlinear regression
Zdroj:	Energy & Fuels. 2:734-739
ISSN:	1520-5029 0887-0624
DOI:	10.1021/ef00012a003
Popis:	A method is developed for calculating the three parameters needed to characterize the carbon number distribution of products of the Fischer-Tropsch synthesis. Using non-linear regression, experimental data are fit by a modified Schulz-Flory model which has two chain growth probabilities. Excellent fit is shown for data from precipitated and fused iron catalysts. The model is used to calculate selectivity information of interest in catalyst comparison and reactor design. Advantages of this model over asymptotic regression methods are discussed in detail.
Databáze:	OpenAIRE
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