4.7 Article

Photocatalytic conversion and kinetic study of CO2 and CH4 over nitrogen-doped titania nanotube arrays

期刊

JOURNAL OF CLEANER PRODUCTION
卷 111, 期 -, 页码 143-154

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2015.07.077

关键词

Photocatalytic; CO2 conversion; Response surface methodology; Titania nanotube arrays; Nitrogen-doped

资金

  1. Ministry of Education (MOE)
  2. Universiti Teknologi Malaysia (UTM) [Vot 4L800, Vot 00H49]
  3. UTM [UTM.J10.02.00/13.14/1/125-073]

向作者/读者索取更多资源

The performance of highly ordered nitrogen-doped titania (TiO2) nanotube arrays, fabricated by anodization method, was tested for photocatalytic CO2 conversion with CH4. Nitrogen-doped titania nanotube arrays were characterized using field-emission scanning electron microscopy (FESEM), X-ray diffraction (XRD), transmission electron microscopy (TEM), Brunauer-Emmett-Teller (BET), X-ray photoelectron spectroscopy (XPS) and Ultraviolet visible (UV vis) spectra. The photoreduction products were identified using residual gas analyzer (RGA) and GC spectra. The effects of important parameters such as UV light power, initial ratios of CO2:CH4:N-2 in feed and distance between UV lamp and reactor on CO2 and CH4 conversions were analyzed using response surface methodology (RSM). FESEM images of titania nanotube arrays indicated highly ordered and vertically oriented morphology with inside diameter ranging from 3 to 50 nm. The optimal conditions for maximum CO2 conversion of 41.5% were determined as 250 W UV light power, 10% CO2 initial ratio and 2 cm distance between UV lamp and reactor. H-2 and CO were the main products with selectivities being 80.5% and 18.9%, respectively. CO2 and CH4 molecules were competitively activated by the charge transfer excited complexes and the values of feed ratios influenced the selectivity for the formation of the desired products. The kinetic model based on Langmuir -Hinshelwood, incorporated photocatalytic adsorptive reduction and oxidation reactions over the catalyst surface fitted-well with the experimental data. (C) 2015 Elsevier Ltd. All rights reserved.

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