4.7 Article

Application of response surface methodology to assess the combined effect of operating variables on high-pressure coal gasification for H2-rich gas production

期刊

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
卷 35, 期 3, 页码 1191-1204

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2009.11.046

关键词

Hydrogen production; High-pressure gasification; Coal; Response surface methodology

资金

  1. Spanish CDTI
  2. PCTI Asturias
  3. CSIC I3P Program
  4. European Social Fund

向作者/读者索取更多资源

Coal gasification was performed by means of a high-pressure fixed bed gasifier fitted with a solids feeding system in continuous mode, using oxygen and steam as gasifying agents. The main aim of the paper was to assess the combined effects of the operating variables (temperature, oxygen and steam concentrations) on high-pressure coal gasification. To this end a face centered central composite design (FCCCD) based on response surface methodology (RSM) was used. The response variables studied were: H-2, CO and syngas production, H-2/CO ratio, cold gas efficiency (eta), and carbon conversion (X). The study was carried out at temperatures of 900, 950 and 1000 degrees C, using oxygen concentrations of 5, 10 and 15 vol.%, and steam concentrations of 25, 40 and 55 vol.%. The gasification temperature was found to be the most influential variable, with high temperatures leading to an increase in all the response variables studied. An increase in the oxygen content of the gasifying agent led to a decrease in H-2 and CO production, and cold gas efficiency, whilst carbon conversion was favoured. An increase in steam concentration, on the other hand, favoured the production of H-2 and syngas production, whereas CO production underwent a reduction; cold gas efficiency and carbon conversion were observed to increase. Response surface methodology (RSM) revealed the effects of interaction between the operating variables, which would not have been identified by the traditional one-factor-at-a-time method. The models developed successfully fitted the experimental results for all the response variables studied. (C) 2009 Professor T. Nejat Veziroglu. Published by Elsevier Ltd. All rights reserved.

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