Thermochemical Equilibrium Model of Synthetic Natural Gas Production from Coal Gasification Using Aspen Plus | Zendy

Rolando Barrera Zapata | Zendy; Carlos Johnny Portilla Salazar | Zendy; Juan F. Pérez | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Thermochemical Equilibrium Model of Synthetic Natural Gas Production from Coal Gasification Using Aspen Plus

Author(s) -

Rolando Barrera Zapata,

Carlos Johnny Portilla Salazar,

Juan F. Pérez

Publication year - 2014

Publication title -

international journal of chemical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.309

H-Index - 25

eISSN - 1687-8078

pISSN - 1687-806X

DOI - 10.1155/2014/192057

Subject(s) - coal , substitute natural gas , natural gas , coal slurry , process engineering , coal gasification , environmental science , slurry , waste management , producer gas , process (computing) , petroleum engineering , engineering , syngas , fuel gas , environmental engineering , chemistry , computer science , combustion , operating system , organic chemistry , hydrogen

The production of synthetic or substitute natural gas (SNG) from coal is a process of interest in Colombia where the reserves-to-production ratio (R/P) for natural gas is expected to be between 7 and 10 years, while the R/P for coal is forecasted to be around 90 years. In this work, the process to produce SNG by means of coal-entrained flow gasifiers is modeled under thermochemical equilibrium with the Gibbs free energy approach. The model was developed using a complete and comprehensive Aspen Plus model. Two typical technologies used in entrained flow gasifiers such as coal dry and coal slurry are modeled and simulated. Emphasis is put on interactions between the fuel feeding technology and selected energy output parameters of coal-SNG process, that is, energy efficiencies, power, and SNG quality. It was found that coal rank does not significantly affect energy indicators such as cold gas, process, and global efficiencies. However, feeding technology clearly has an effect on the process due to the gasifying agent. Simulations results are compared against available technical data with good accuracy. Thus, the proposed model is considered as a versatile and useful computational tool to study and optimize the coal to SNG process

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research