Gasification performances of raw and torrefied biomass in a downdraft fixed bed gasifier using thermodynamic analysis

Po Chih Kuo, Wei Wu, Wei Hsin Chen

Research output: Contribution to journalArticlepeer-review

111 Citations (Scopus)

Abstract

The gasification performances of three biomass materials, including raw bamboo, torrefied bamboo at 250°C (TB250), and torrefied bamboo at 300°C (TB300), in a downdraft fixed bed gasifier are evaluated through thermodynamic analysis. Two parameters of modified equivalence ratio (ERm) and steam supply ratio (SSR) are considered to account for their impacts on biomass gasification. The cold gas efficiency (CGE) and carbon conversion (CC) are adopted as the indicators to examine the gasification performances. The analyses suggest that bamboo undergoing torrefaction is conducive to increasing syngas yield. The higher the torrefaction temperature, the higher the syngas yield, except for TB300 at lower values of ERm. Because the higher heating value of TB300 is much higher than those of raw bamboo and TB250, the former has the lowest CGE among the three fuels. The values of CC of raw bamboo and TB250 are always larger than 90% within the investigated ranges of ERm and SSR, but more CO2 is produced when ERm increases, thereby reducing CGE. The maximum values of syngas yield and CGE of raw bamboo, TB250, and TB300 are located at (ERm, SSR) = (0.2, 0.9), (0.22, 0.9), and (0.28, 0.9), respectively. The predictions suggest that TB250 is a more feasible fuel for gasification after simultaneously considering syngas yield, CGE, and CC.

Original languageEnglish
Pages (from-to)1231-1241
Number of pages11
JournalFuel
Volume117
Issue numberPARTB
DOIs
Publication statusPublished - 2014 Jan 30

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Organic Chemistry

Fingerprint Dive into the research topics of 'Gasification performances of raw and torrefied biomass in a downdraft fixed bed gasifier using thermodynamic analysis'. Together they form a unique fingerprint.

Cite this