利用响应面方法优化铈促进的钴-镍/氧化石墨烯催化材料的温室气体利用率

IF 2.8 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Alyaa K. Mageed, May Ali Alsaffar, Mohamed Abdel Rahman Abdel Ghany, Khalid A. Sukkar, Bamidele Victor Ayodele
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引用次数: 0

摘要

背景为减缓全球变暖效应,需要加大研究力度以减少温室气体排放。本研究旨在探讨掺杂 CeO2 的 Co-Ni/GO 催化材料对二氧化碳(CO2)和甲烷(CH4)这两种主要温室气体的有效利用。掺杂 CeO2 的 Co-Ni/GO 催化剂采用顺序湿浸渍法合成,并用于 CO2 重整 CH4。催化材料采用多种仪器技术进行了表征。采用响应面方法 (RSM) 研究了反应温度(700 至 800 °C)、CeO2 负载(5% 至 15%)和进料流速(10n 至 50 mL min-1)等工艺因素对 CH4 转化率的影响。RSM 二次方模型分析表明,反应温度、CeO2 负载和进料流速的最佳条件为 800°C、14.22% 和 10.00 mL min-1,因此 CH4 转化率最高可达 98.24%。计算得出这些结果的可取函数为 0.934。预测的工艺参数与实际实验分析结果一致。 结论 本研究表明,可以使用 RSM 优化 CH4 向合成气等增值产品的转化。获得的最佳条件可用于改善工艺性能。© 2024 化学工业学会 (SCI)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of greenhouse gas valorization over ceria‐promoted Co–Ni/graphene oxide catalytic materials using response surface methodology
BackgroundThe mitigation of global warming effect requires intensified research efforts to reduce greenhouse gas emissions. This study was aimed at investigating the valorization of two principal greenhouse gases, namely carbon dioxide (CO2) and methane (CH4), over CeO2‐doped Co–Ni/GO catalytic materials. The CeO2‐doped Co–Ni/GO catalysts were synthesized using a sequential wet impregnation method and employed for CO2 reforming of CH4. The catalytic materials were characterized using various instrumental techniques. Response surface methodology (RSM) was employed to investigate the impact of process factors, namely reaction temperature (ranging from 700 to 800 °C), CeO2 loading (ranging from 5% to 15%) and feed flowrate (ranging from 10n to 50 mL min−1), on the CH4 conversions.ResultsThe three factors were observed to have significant influence on the CH4 conversion based on analysis of variance. The analysis of the RSM quadratic model revealed that the optimum conditions of 800 °C, 14.22% and 10.00 mL min−1 were obtained for the reaction temperature, CeO2 loading and feed flowrate resulting in maximum CH4 conversion of 98.24%. The desirability function for these results was calculated to be 0.934. The predicted process parameters aligned with the results of the actual experimental analysis.ConclusionThis study has demonstrated that the conversion of CH4 to value‐added products such as syngas can be optimized using RSM. The optimum conditions obtained could be used to improve the process performance. © 2024 Society of Chemical Industry (SCI).
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来源期刊
CiteScore
7.00
自引率
5.90%
发文量
268
审稿时长
1.7 months
期刊介绍: Journal of Chemical Technology and Biotechnology(JCTB) is an international, inter-disciplinary peer-reviewed journal concerned with the application of scientific discoveries and advancements in chemical and biological technology that aim towards economically and environmentally sustainable industrial processes.
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