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)


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.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

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

Document Type: Research Article

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

Publication date: 2008-12-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
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