Numerical simulation of biomass gasification process and distribution mode in two-stage entrained flow gasifier
Lijun Wang,
Xiaocheng Du,
Lingfeng Xu and
Jiajun Sun
Renewable Energy, 2020, vol. 162, issue C, 1065-1075
Abstract:
A 3D computational hydrodynamics model (CFD) of a two-stage entrained-flow biomass gasifier is developed for further engineering application of the clean utilization of renewable energy. The biomass gasification procedure in the entrained-flow gasifier is simulated with the CFD software FLUENT®15.0. The Eulerian-Lagrangian method is applied to model the two-phase chemical reaction and heat transfer flow. Based on the multi-step chemical reaction dynamics, the homogeneous and heterogeneous biomass gasification reaction are described, respectively. The realizable k-ε model describes the turbulent flow of gas phase, and the motion of pulverized-biomass particles is tracked by the stochastic tracking method (STM). Using steam-air as gasification agent, different reaction mechanisms are simulated to compare with the verification value to find the optimal reaction mechanism. Then the quantitative influence of the main parameters of biomass gasification, namely, different equivalent ratios (ER), steam-to-biomass mass ratios (S/B), and the distribution ratios between the upper and lower stages (DR) are studied with the orthogonal analysis method. The results show that the proper values of ER, S/B and DR are helpful to improve gasification performances, such as maximum flame temperature, syngas compositions, active components, carbon conversion rates, etc. The optimum parameters for gasification condition are found as S/B = 0.1, ER = 0.16, DR = 30%/70%.
Keywords: CFD model; Two-stage entrained-flow gasifier; Biomass gasification; Orthogonal analysis (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148120313380
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:renene:v:162:y:2020:i:c:p:1065-1075
DOI: 10.1016/j.renene.2020.08.093
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().