首页> 外文期刊>Fuel Processing Technology >Optimization of process parameters and catalyst compositions in carbon dioxide oxidative coupling of methane over CaO-MnO/CeO_2 catalyst using response surface methodology
【24h】

Optimization of process parameters and catalyst compositions in carbon dioxide oxidative coupling of methane over CaO-MnO/CeO_2 catalyst using response surface methodology

机译:响应面法优化CaO-MnO / CeO_2催化剂上甲烷二氧化碳氧化偶联反应的工艺参数和催化剂组成

获取原文
获取原文并翻译 | 示例
           

摘要

The optimization of process parameters and catalyst compositions for the CO_2 oxidative coupling of methane(CO_2-OCM)reaction over CaO-MnO/CeO_2 catalyst was developed using Response Surface Methodology(RSM).The relationship between the responses,i.e.CH_4 conversion,C_2 hydrocarbons selectivity or yield,with four independent variables,i.e.CO_2/CH_4 ratio,reactor temperature,wt.% CaO and wt.% MnO in the catalyst,were presented as empirical mathematical models.The maximum C_2 hydrocarbons selectivity and yields of 82.62% and 3.93%,respectively,were achieved by the individual-response optimization at the corresponding optimal process parameters and catalyst compositions.However,the CH_4 conversion was a saddle function and did not show a unique optimum as revealed by the canonical analysis.Moreover pertaining to simultaneous multi-responses optimization,the maximum C_2 selectivity and yield of 76.56% and 3.74%,respectively,were obtained at a unique optimal process parameters and catalyst compositions.It may be deduced that both individual-and multi-responses optimizations are useful for the recommendation of optimal process parameters and catalyst compositions for the CO_2-OCM process.
机译:利用响应面法(RSM)优化了CaO-MnO / CeO_2催化剂上甲烷(CO_2-OCM)反应的CO_2氧化偶联反应的工艺参数和催化剂组成。反应之间的关系即CH_4转化率,C_2烃通过经验数学模型给出了具有四个独立变量的选择性或收率,即CO_2 / CH_4比,反应器温度,CaO的重量%和MnO的重量%。最大的C_2烃选择性和收率分别为82.62%和3.93分别通过在相应的最佳工艺参数和催化剂组成下的单独响应优化来实现%。但是,如典范分析所示,CH_4转化率是一个鞍函数且没有显示出唯一的最优值。响应优化,在独特的最佳工艺参数和催化剂下,最大C_2选择性和产率分别为76.56%和3.74%可以推断出,单反应和多反应优化都可用于推荐CO_2-OCM工艺的最佳工艺参数和催化剂组成。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号