EconPapers    
Economics at your fingertips  
 

Modeling of downdraft gasification process: Studies on particle geometries in thermally thick regime

Ashish Chaurasia

Energy, 2018, vol. 142, issue C, 991-1009

Abstract: In this study, a downdraft gasifier model is coupled with a single-particle model to analyze the effects of particle geometries such as slab, cylindrical, and spherical on different parameters. Simulations were performed using particles in a thermally thick regime with larger particle sizes of 0.003–0.05 m, which are generally used in commercial gasifiers. This combination of the downdraft gasifier model and single particle model was implemented using Comsol Multiphysics software program. The results obtained are in good agreement with those of obtained in previous studies. The low thermal conductivity of biomass (kB), small particle size (dp), high gas temperature (Tg), higher molar fraction of oxygen in primary air (XO2), and high mass-transfer coefficient (km) favor the formation of carbon monoxide (CO), hydrogen (H2), high tar conversion, and higher lower heating value. To maximize the CO composition and tar conversion, the initial gas temperature (Tg) is more crucial. The least sensitive parameter is the thermal conductivity of biomass (kB) in relation to product composition of CO, carbon dioxide (CO2), H2, and methane (CH4). The sensitivity for all the parameters is found to be the highest for the spherical geometry and is least for the slab geometry.

Keywords: Biomass; Gasification; Modeling; Simulation; Sensitivity analysis; Geometries (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054421731798X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:142:y:2018:i:c:p:991-1009

DOI: 10.1016/j.energy.2017.10.093

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:991-1009