Process optimization of oxidative coupling of methane for ethylene production using response surface methodology

2006 ◽  
Vol 82 (1) ◽  
pp. 81-91 ◽  
Author(s):  
Chua Yen Thien ◽  
Abdul Rahman Mohamed ◽  
Subhash Bhatia
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Optimization ◽  
Ethylene Production ◽  
Oxidative Coupling ◽  
Oxidative Coupling Of Methane

Optimization of Oxidative Coupling of Methane Using Response Surface Methodology

2012 ◽  
Author(s):  
Nor Aishah Saidina Amin ◽  
Zaki Yamani Zakaria
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Oxidative Coupling ◽  
Operating Temperature ◽  
Product Yield ◽  
Weight Percent ◽  
Oxidative Coupling Of Methane ◽  
Equation Model ◽  
Anova Analysis

Tindak balas penggandingan beroksida metana (OCM) terhadap mangkin Li/MgO dioptimumkan menggunakan reka bentuk eksperimen daripada perisian ‘Statsoft Statistica’ versi 6.0. Pemboleh ubah yang di pilih dalam kajian ialah suhu operasi, jumlah kadar aliran suapan per berat mangkin (F/W), dan peratus berat Li yang dimasukkan ke dalam mangkin MgO, manakala penukaran metana, kememilihan C2, dan keberhasilan C2 merupakan sambutannya. Model persamaan diuji menggunakan analisis Anova dengan 99% darjah keyakinan. Metodologi sambutan permukaan (RSM) digunakan bagi menentukan sambutan optimum. Dengan menggunakan analisis varians dan eksperimen tambahan, kejituan model dapat disahkan. Kata kunci: OCM, pengoptimuman, reka bentuk eksperimen, metodologi sambutan permukaan Oxidative Coupling of Methane (OCM) reaction over Li/MgO catalyst was optimized using experimental design from ‘Statsoft Statistica’ version 6.0 software. The manipulated variables chosen in this study were operating temperature, total flow rate per weight of catalyst (F/W), and weight percent of Li doped into MgO catalyst, whilst methane conversion, C2 product selectivity, and C2 product yield were the responses. The equation model was tested with Anova analysis with 99% degree confidence. The Response Surface Methodology (RSM) was employed to determine the optimum responses. By means of variance analysis and additional experiments, the adequacy of this model was confirmed. Key words: OCM, optimization, experimental design, response surface methodology

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