NI/SBA-15 CATALYSTS FOR METHANE DRY REFORMING
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS, BIO-TECHNOLOGY AND ENVIRONMENTAL ENGINEERING
Author(s): A. URDA , I. SANDULESCU , M. OLEA , R. AHMED , S. TANASOI
Abstract: Methane and carbon dioxide are the major components of biogas produced by anaerobic digestion of biomass and conversion of biogas to syngas is of great interesting for making use of the sustainable biomass resource. The present paper deals with catalyst development and testing for the dry reforming of methane (DRM). Three different SBA-15 supported nickel catalysts were prepared, with nickel loadings from 5 to 20 wt. %, using a mixture of nickel precursors (acetate and nitrate). A cobalt modified Ni catalyst was also prepared using sequential impregnation. The catalysts were characterized by SEM/EDS, XRD, TEM and BET measurement. The mesoporous structure of the SBA-15 support was maintained and good dispersion and reasonably high loadings of nickel nano-particles on the support were obtained for all prepared catalysts. These samples were tested against the DRM, at different temperatures and CH4:CO2 molar ratios, in order to assess their activity and selectivity. High methane conversion
- Publication Date: 17-Nov-2014
- DOI: 10.15224/978-1-63248-053-8-09
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EFFECTS OF SOIL SALINITY ON SOIL SPECTRAL BEHAVIOUR
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS, BIO-TECHNOLOGY AND ENVIRONMENTAL ENGINEERING
Author(s): H. SEBNEM DUZGUN , HILAL SOYDAN
Abstract: This paper focuses on the utilization of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data to predict soil salinity. After the necessary geometric and radiometric corrections were implemented, it is aimed to model the changes of electrical conductivity of soil samples, with related spectral profiles extracted from the satellite data. An electrical conductivity meter was employed for measuring the salinity levels of extracts acquired from the saturated soil samples. Statistical methods (stepwise regression – backward elimination) were used to reveal the significant bands for soil salinity and to diagnose the soil salinity related variances through the spectrum. The correlation between the selected soil samples having highest and lowest soil salinity levels was found to be consistent with each other. There seems to be a negative relation with the increased electrical conductivity content and spectral responses in shortwave infrared region. Furthermore, multivari
- Publication Date: 17-Nov-2014
- DOI: 10.15224/978-1-63248-053-8-11
- Views: 0
- Downloads: 0