Skip to main content

Dual response surface optimization with hard-to-control variables for sustainable gasifier performance

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

Summary. 

Dual response surface optimization of the Sasol–Lurgi fixed bed dry bottom gasification process was carried out by performing response surface modelling and robustness studies on the process variables of interest from a specially equipped full-scale test gasifier. Coal particle size distribution and coal composition are considered as hard-to-control variables during normal operation. The paper discusses the application of statistical robustness studies as a method for determining the optimal settings of process variables that might be hard to control during normal operation. Several dual response surface strategies are evaluated for determining the optimal process variable conditions. It is shown that a narrower particle size distribution is optimal for maximizing gasification performance which is robust against the variability in coal composition.

Keywords: Desirability functions; Dual response surface; Gasification; Robustness studies

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1467-9876.2008.00631.x

Affiliations: 1: Sasol Technology Research and Development, Sasolburg, South Africa 2: Pennsylvania State University, University Park, USA

Publication date: December 1, 2008

bpl/rssc/2008/00000057/00000005/art00005
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more