Loading…

The influence of different parameters on biomass gasification in circulating fluidized bed gasifiers

•Different correlations in biomass gasification via CFB gasifiers are identified.•Multivariate analysis on the data set is done using PCA, PLS and GA.•To achieve high gas quality olivine, ER=0.17 and no steam are suggested.•High gas yield with low tar is obtained at ER=0.6, S/B=0.37 by olivine.•To a...

Full description

Saved in:
Bibliographic Details
Published in:Energy conversion and management 2016-10, Vol.126, p.110-123
Main Authors: Mirmoshtaghi, G., Skvaril, J., Campana, P.E., Li, H., Thorin, E., Dahlquist, E.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•Different correlations in biomass gasification via CFB gasifiers are identified.•Multivariate analysis on the data set is done using PCA, PLS and GA.•To achieve high gas quality olivine, ER=0.17 and no steam are suggested.•High gas yield with low tar is obtained at ER=0.6, S/B=0.37 by olivine.•To achieve the gas with all the best quality, olivine, ER=0.26, S/B=0.39 are suggested. The mechanism of biomass gasification has been studied for decades. However, for circulating fluidized bed (CFB) gasifiers, the impacts of different parameters on the gas quality and gasifiers performance have still not been fully investigated. In this paper, different CFB gasifiers have been analyzed by multivariate analysis statistical tools to identify the hidden interrelation between operating parameters and product gas quality, the most influencing input parameters and the optimum points for operation. The results show that equivalence ratio (ER), bed material, temperature, particle size and carbon content of the biomass are the input parameters influencing the output of the gasifier the most. Investigating among the input parameters with opposite impact on product gas quality, cases with optimal gas quality can result in high tar yield and low carbon conversion while low tar yield and high carbon conversion can result in product gas with low quality. However using Olivine as the bed material and setting ER value around 0.3, steam to biomass ratio to 0.7 and using biomass with 3mm particle size and 9wt% moisture content can result in optimal product gas with low tar yield.
ISSN:0196-8904
1879-2227
1879-2227
DOI:10.1016/j.enconman.2016.07.031