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
- Spanish CDTI
- PCTI Asturias
- CSIC I3P Program
- European Social Fund
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据