A new model to estimate CO2 coal gasification kinetics based only on parent coal characterization properties. (1st January 2015)
- Record Type:
- Journal Article
- Title:
- A new model to estimate CO2 coal gasification kinetics based only on parent coal characterization properties. (1st January 2015)
- Main Title:
- A new model to estimate CO2 coal gasification kinetics based only on parent coal characterization properties
- Authors:
- Gomez, Arturo
Mahinpey, Nader - Abstract:
- Graphical abstract: Highlights: A mathematical model to predict gasification rate and residence time was proposed. Gasification rate is affected mainly by micropore surface area and alkaline content. Residence time for coal gasification can be predicted without a kinetic model. Surface area based on carbon content is an important parameter in kinetic analysis. The model can predict the kinetic of coal blends in any ash composition range. Abstract: A new mathematical model is proposed for the estimation of CO2 gasification kinetics of different rank coals and ash contents. There are no previous reports on the determination of the conversion rate or even residence time of CO2 or steam gasification based on coal characterization and for a wide range of ash content. This new approach can be used to infer the residence time and other parameters required for reactor design and operation optimization of newly mined coals or coal mixtures used as feedstock. The coal micropore surface area and the alkaline content determined by the ash composition were proved to be the most significant variables influencing the gasification rate. These variables were correlated to formulate a semi-empirical expression based on the Arrhenius equation. An equation to infer residence time, independent of the kinetic model, is also presented. The new equation is important in understanding the catalytic effect of the alkaline content in the temperature range where the chemical reaction is the controllingGraphical abstract: Highlights: A mathematical model to predict gasification rate and residence time was proposed. Gasification rate is affected mainly by micropore surface area and alkaline content. Residence time for coal gasification can be predicted without a kinetic model. Surface area based on carbon content is an important parameter in kinetic analysis. The model can predict the kinetic of coal blends in any ash composition range. Abstract: A new mathematical model is proposed for the estimation of CO2 gasification kinetics of different rank coals and ash contents. There are no previous reports on the determination of the conversion rate or even residence time of CO2 or steam gasification based on coal characterization and for a wide range of ash content. This new approach can be used to infer the residence time and other parameters required for reactor design and operation optimization of newly mined coals or coal mixtures used as feedstock. The coal micropore surface area and the alkaline content determined by the ash composition were proved to be the most significant variables influencing the gasification rate. These variables were correlated to formulate a semi-empirical expression based on the Arrhenius equation. An equation to infer residence time, independent of the kinetic model, is also presented. The new equation is important in understanding the catalytic effect of the alkaline content in the temperature range where the chemical reaction is the controlling step. It can also be used as the corresponding term of the chemical reaction in a gas–solid kinetic model when working at higher temperatures. This new approach is valid, if there is not loss of alkali and alkaline earth metals due to sublimation or melting, which results in a glassy slag structure. The proposed model has direct industrial application in simulation of gasifiers' performance with the knowledge of only coal characterization properties. … (more)
- Is Part Of:
- Applied energy. Volume 137(2015:Jan. 01)
- Journal:
- Applied energy
- Issue:
- Volume 137(2015:Jan. 01)
- Issue Display:
- Volume 137 (2015)
- Year:
- 2015
- Volume:
- 137
- Issue Sort Value:
- 2015-0137-0000-0000
- Page Start:
- 126
- Page End:
- 133
- Publication Date:
- 2015-01-01
- Subjects:
- Gasification -- Gasification rate -- Micropore area -- Ash composition -- Random pore model -- Thermogravimetric analysis
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2014.10.010 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5106.xml