Review and analysis of biomass gasification models
Section snippets
Introduction and objectives
As we face the problems of global warming and climate change, substantial research and development has focused on the use of biomass as an alternative to fossil fuels. The widespread availability of biomass has been widely recognised, as has its potential to supply much larger amounts of useful energy with fewer environmental impacts than fossil fuels [1].
Biomass can be converted into commercial products via either biological or thermochemical processes [2], [3], [4]. Biological conversion of
Biomass gasification principles and technologies
Gasification is partial thermal oxidation, which results in a high proportion of gaseous products (CO2, water, carbon monoxide, hydrogen and gaseous hydrocarbons), small quantities of char (solid product), ash, and condensable compounds (tars and oils). Steam, air or oxygen is supplied to the reaction as an oxidising agent. The gas produced can be standardised in its quality and is easier and more versatile to use than the original biomass (e.g. it can be used to power gas engines and gas
Performance of biomass gasifiers
The performance of biomass gasifiers could be characterised by several parameters. Here, we will review two such parameters: producer-gas composition, which directly influences the heating value of the gas, and gasification efficiency.
The composition of the gas obtained from a gasifier depends on a number of parameters, such as fuel composition, gasifying medium, operating pressure, temperature, moisture content of the fuels, mode of bringing the reactants into contact inside the gasifier
Biomass gasification models
The efficient operation of a biomass gasifier depends on a number of complex chemical reactions, including fast pyrolysis, partial oxidation of pyrolysis products, gasification of the resulting char, conversion of tar and lower hydrocarbons, and the water–gas shift reaction. These complicated processes, coupled with the sensitivity of the product distribution to the rate of heating and residence time in the reactor, required the development of mathematical models. The main goals of these models
Conclusions
Models of several different types have been developed for gasification systems—kinetic, equilibrium and artificial neural networks. Unlike kinetic models that predict the progress and product composition at different positions along a reactor, an equilibrium model predicts the maximum achievable yield of a desired product from a reacting system. It also provides a useful design aid in evaluating the possible limiting behaviour of a complex reacting system that is difficult or unsafe to
References (109)
- et al.
Economics of biomass energy utilization in combustion and gasification plants: effects of logistic variables
Biomass Bioenergy
(2005) - et al.
Biomass resources and conversion in Japan: the current situation and projections to 2010 and 2050
Biomass Bioenergy
(2005) Bio-energy in Europe: changing technology choices
Energy Policy
(2006)Energy production from biomass (part 1): overview of biomass
Bioresour Technol
(2002)Energy production from biomass (part 3): gasification technologies
Bioresour Technol
(2002)- et al.
Biomass gasification in atmospheric and bubbling fluidized bed: effect of the type of gasifying agent on the product distribution
Biomass Bioenergy
(1999) - et al.
Steam gasification of biomass in a fluidised-bed of olivine particles
Biomass Bioenergy
(2000) - et al.
Evaluation of cyclone gasifier performance for gasification of sugar cane residue—part 1: gasification of bagasse
Biomass Bioenergy
(2001) - et al.
Experimental investigation of a downdraft biomass gasifier
Biomass Bioenergy
(2002) - et al.
A review of the primary measures for tar elimination in biomass gasification processes
Biomass Bioenergy
(2003)
CO2 as a gasifying agent for gas production from pine sawdust at low temperature using Ni/Al coprecipitated catalyst
Fuel Process Technol
The CO2 gasification kinetics of olive residue
Biomass Bioenergy
Indirectly heated biomass gasification using a latent heat ballast—part 1: experimental evaluations
Biomass Bioenergy
Indirectly heated biomass gasification using a latent heat ballast—part 2: modeling
Biomass Bioenergy
Effect of woody biomass components on air–steam gasification
Biomass Bioenergy
An experimental study on biomass air–steam gasification in a fluidized bed
Bioresour Technol
High-temperature air and steam gasification of densified biofuels
Biomass Bioenergy
From coal to biomass gasification: comparison of thermodynamic efficiency
Energy
More efficient biomass gasification via torrefaction
Energy
Exergetic evaluation of biomass gasification
Energy
Equilibrium and kinetic modelling of char reduction reactions in a downdraft biomass gasifier: a comparison
Solar Energy
Kinetic model of biomass gasification
Solar Energy
A two-phase one-dimensional biomass gasification kinetic model
Biomass Bioenergy
A steady state model of gas–char reactions in a downdraft gasifier
Solar Energy
Effect of fuel devolatilization on the combustion of wood chips and incineration of simulated municipal wastes in packed bed
Fuel
The kinetics of combustion of chars derived from sewage sludge
Fuel
The development of a computer model for a fixed bed gasifier an its use for optimization an control
Bioresour Technol
Computer simulation of a downdraft wood gasifier for tea drying
Biomass Bioenergy
Modeling and simulation of reduction zone of downdraft biomass gasifier: effect of char reactivity factor
Energy Convers Manage
An equilibrium model for biomass gasification processes
Renew Energy
Prediction of performance of a downdraft gasifier using equilibrium modeling for different biomass materials
Energy Convers Manage
Biomass steam gasification: an extensive parametric modeling study
Bioresour Technol
Prediction of the working parameters of a wood waste gasifier through an equilibrium model
Energy Convers Manage
Equilibrium modeling of gasification: a free energy minimization approach and its application to circulating fluidized bed coal gasifier
Fuel
Biomass gasification in a circulating fluidized bed
Biomass Bioenergy
Thermochemical equilibrium modelling of gasifying process
Energy Convers Manage
Two-stage equilibrium model for a coal gasifier to predict the accurate carbon conversion in hydrogen production
Fuel
Upgrading of syngas derived from biomass gasification: a thermodynamic analysis
Biomass Bioenergy
Performance analysis of a biomass gasifier
Energy Convers Manage
Thermodynamic equilibrium model and second law analysis of a downdraft waste gasifier
Energy
Equilibrium modeling of gasification: Gibbs free energy minimisation approach and its application to spouted bed and spout-fluid bed gasifiers
Energy Convers Manage
Equilibrium modelling of catalytic steam reforming of methane in membrane reactors with oxygen addition
Catal Today
Modelling and simulation of a tyre gasification plant for synthesis gas production
The effect of air preheating in a biomass CFB gasifier using Aspen Plus simulation
Biomass Bioenergy
Simulation of biomass gasification with a hybrid neural network model
Bioresour Technol
Solid fuel decomposition modelling for the design of biomass gasification systems
Approximation capabilities of multilayer feedforward networks
Neural Networks
The European commission perspective in biomass and waste thermochemical conversion
Ethanol fermentation from biomass resources: current state and prospects
Appl Microbiol Biotechnol
Cited by (641)
Microdynamics of biomass steam gasification: A review
2024, Energy Conversion and ManagementMachine learning-based optimization of catalytic hydrodeoxygenation of biomass pyrolysis oil
2024, Journal of Cleaner Production