Hardy, RH
1994
Keogh, R.A.; Hardy, R.H.; Taghizadeh, K.; Meuzelaar, H.L.C. and Davis, B.H.
Fuel Processing Technology, 37:33-52, 1994. Funded by US Department of Energy.
The mobile component of western Kentucky coals were extracted and analyzed by conventional methods and Curie-point mass spectroscopy. The liquefaction of the parent coals, extracted coals, and blends of the extracted coals plus mobile components indicated that the absence of the mobile component generally decreases the observed conversions obtained. The results also show that, in general, blending the mobile component and extracted coal also produces lower conversions than those obtained from the parent coal. These data suggest that the location of the mobile component in the pore structure of the coal is as important as the presence of the mobile component in coal conversion.
1993
Keogh, R.A.; Hardy, R.H.; Taghizadeh, K.; Meuzelaar, H.L.C. and Davis, B.H.
Fuel Processing Technology, 1993 (in press). Funded by US Department of Energy.
The mobile component of western Kentucky coals were extracted and analyzed by conventional methods and Curie-point mass spectroscopy. The liquefaction of the parent coals, extracted coals, and blends of the extracted coals plus mobile components indicated that the absence of the mobile component generally decreases the observed conversions obtained. The results also show that, in general, blending the mobile component and extracted coal also produces lower conversions than those obtained from the parent coal. These data suggest that the location of the mobile component in the pore structure of the coal is as important as the presence of the mobile component in coal conversion.
1990
Taghizadeh, K.; Hardy, R.H., Davis, B.H. and Meuzelaar, H.L.C.
Fuel Processing Technology, 1990 (In press). Funded by Consortium for Fossil Fuel Liquifaction Science, Commonwealth of Kentucky, Kentucky Energy Cabinet and US Department of Energy.
Low voltage - Electron Ionization (LV-EI) and Field ionization (FI) mass spectra of coal-derived liquids (CDLs) obtained from the Wilsonville Coal liquefaction pilot plant before and after hydrotreatment were compared. LV-EIMS (12 eV) analysis of Wilsonville CDL'S before and after hydrotreatment produces very similar spectral patterns as obtained by FIMS. This is especially true for the more highly aromatic hydrotreater feed samples since the hydroaromatic compounds that dominate the hydrotreater product sampler tend to fragment more under LV-MS conditions. Canonical variate analysis confirms that the mass spectral patterns produced by both techniques are highly correlated with the exception of the higher mass range (above m/z 300) that is severely under-represented in the LV-EIMS patterns, due to lower inlet temperatures and to mass discrimination effects in quadrupole MS systems. Furthermore, in spite of the highly complex nature of the original spectral profiles, use of multivariate statistical analysis techniques, such as factor analysis and canonical correlation analysis, enables "numerical extraction" of simplified spectral patterns which can be tentatively interpreted in terms of chemical components or compound series.
1988
Taghizadeh, K.; Hardy, R.H.; Davis, B.H. and Meuzelaar, H.L.C.
Submitted to Analytical Chemistry, 1988. Funded by Commonwealth of Kentucky, Kentucky Energy Cabinet, and US Department of Energy.
Low voltage (LV) and field ionization (FI) mass spectral of coal-derived liquids (CDL) before and after hydrotreatment from the Wilsonville Coal liquefaction pilot plant were compared. LV-MS (12eV) analysis of Wilsonville CDL'S before and after hydrotreatment produces very similar spectral patterns as obtained by FI-MS. This is especially true for the more highly aromatic hydrotreater feed samples since hydroaromatic compounds tend to fragment more under LV-MS conditions. Canonical variate analysis confirms that the mass spectral patterns produced by both techniques are highly correlated with the exception of the higher mass range (above m/z 300) that appears to be underrepresented in the LV-MS patterns, primarily as a result of lower inlet temperatures. Furthermore, in spite of the highly complex nature of the original spectral profiles, use of multivariate statistical analysis techniques, such as factor analysis and canonical correlation analysis, enables "numerical extraction" of simplified spectral patterns which can be tentatively interpreted in terms of chemical components or compound series.