The Simulation Study of Application of the Fg-DVC Model to the Pyrolysis of Huadian Oil Shale of China at Different Heating Rates

Abstract

In order to study the relationship between the chemical structure and pyrolysis products of oil shale, a series of experiments with Huadian oil shale of China were performed at various heating rates (10, 20 and 50 °C/min) by using Thermogravimetric Analysis-Fourier Transform Infrared Spectroscopy (TG-FTIR). The quantitative analysis of pyrolysis products, including CH 4 , CO, CO 2 , H 2 O and shale oil, was carried out. The results showed the temperature at which the evolution rate of pyrolysis products reached a peak value. Also, the evolution rate was found to increase with increasing heating rate. For the abovementioned pyrolysis products, the values of kinetic parameters such as activation energy (E) and pre-exponent factor (A) were between 183 and 270 kJ • mol-1 and from 3.3 × 10 9 to 2.8 × 10 13 s-1 , respectively. The Functional Group-Depolymerization Vaporization Crosslinking (FG-DVC) pyrolysis model based on the chemical structure of fuel was employed to simulate the evolution process of CH 4 , CO, CO 2 , H 2 O and shale oil at three different heating rates: 10, 20 and 50 °C/min. The simulation results were in good agreement with TG-FTIR experimental data, indicating the applicability of the FG-DVC model to modelling the pyrolysis process of oil shale.

Numerical Simulation of Oil Shale Pyrolysis under Microwave Irradiation Based on a Three-Dimensional Porous Medium Multiphysics Field Model

“…The NPA of geometry under various element numbers is shown in Figure 4. When the grid number exceeded 143,820, the relative difference of NPA value did not exceed [35], (b) density [36], (c) heat capacity [30], and (d) thermal conductivity [37].…”

“…The thermodynamic properties of the mixture fluid were calculated based on the Peng-Robinson gas phase model established by the thermodynamic system in COMSOL Multiphysics. (b) density [36], (c) heat capacity [30], and (d) thermal conductivity [37].…”

“…Figure3. Oil shale properties dependent on temperature: (a) dielectric constant and loss factor[35], (b) density[36], (c) heat capacity[30], and (d) thermal conductivity[37].…”

Numerical study of the flow, heat transfer and pyrolysis process in the gas full circulation oil shale retort

“…, (15) where is the production of pyrolysis products at temperature , is total production of pyrolysis products, is the pre-exponential factor, is the apparent activation energy, is the ideal gas constant, is the absolute temperature, is the heating time, is the heating rate of pyrolysis process, is the conversion rate of oil shale, the initial mass of oil shale, is the oil shale mass at temperature , is the oil shale mass after pyrolysis reaction.…”

“…Even though some network pyrolysis models on oil shale pyrolysis have been reported, such as Functional-Group, Depolymerization, Vaporization, Cross-linking (FG-DVC) model, Continuing Professional Development (CPD) model, Flash Chain model, etc. [15][16][17][18], which are applicable to a wide range of oil shale types for rapid pyrolysis, they are extremely complex and difficult to use for the retorting process which is a slow devolatilization process [19].…”