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Process modeling and optimization for biomass steam-gasification employing response surface methodology

  • Sk Arafat Zaman
  • , Dibyendu Roy
  • , Sudip Ghosh*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

80 Scopus citations

Abstract

This paper presents a process modeling and optimization study about steam-gasification of biomass. The gasification model is developed using Aspen Plus process simulation tool, and rice husk is considered as biomass fuel. Simulation results were validated with reported experimental results. The effects of the critical parameters, namely, steam-to-biomass ratio (S/B) and gasification temperature on the quality of the product gas as well as the gasifier cold-gas efficiency were analyzed. Response surface methodology (RSM) is employed to understand the synchronized effects of the critical decision parameters and thus to determine the optimized zone of operating condition. The study reveals that steam gasification can yield relatively clean, H2-rich (up to 58%, dry basis) product gas and the RSM analysis suggests that optimum performance is obtained for gasification temperature in the range of 750–900 °C and S/B in the range of 0.70–0.81, when the cold gas efficiency (CGE) approaches 90% and yields dry gas LHV of 12 MJ/kg and more.

Original languageEnglish
Article number105847
JournalBiomass and Bioenergy
Volume143
DOIs
StatePublished - Dec 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Biomass
  • Cold gas efficiency
  • Exergy
  • Gasification
  • Response surface methodology

ASJC Scopus subject areas

  • Forestry
  • Renewable Energy, Sustainability and the Environment
  • Agronomy and Crop Science
  • Waste Management and Disposal

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