Development of a new steady state zero-dimensional simulation model for woody biomass gasification in a full scale plant

Formica, Marco; Frigo, Stefano; Gabbrielli, Roberto

doi:10.1016/j.enconman.2016.05.009

Cited by 72 publications

(38 citation statements)

References 37 publications

(47 reference statements)

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“…Extracting energy from biomass or organic solid waste requires biochemical and/or thermochemical processes [10]. During biochemical processes like fermentation, biomass is converted to biofuels through the digestive action of living organisms.…”

Section: Introduction and Objectivesmentioning

confidence: 99%

A review of biomass gasification modelling

Safarian

Unnþórsson

Richter

2019

Renewable and Sustainable Energy Reviews

270

116

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Currently around 10% of all energy generated worldwide comes from biomass. Most of this 10% is biofuel energy from the fermentation of corn and sugarcane. Fermentation of corn competes with the global food supply, and fermentation of sugarcane drives deforestation. Therefore, the renewable and sustainable growth of these two bio-based energy sources may not be desirable even if it is economically feasible. Biomass gasification by contrast is significantly more flexible in terms of the bio-feedstock or waste that can be processed to either produce biofuels or to co-generate electricity and heat on demand. This superior flexibility of gasification both in terms of the feedstock type and also the energy generation or fuel production options, is what drives expanding research and implementation opportunities for biomass gasification. Research progress is accelerated by modelling work. This review is the first review in the biomass gasification modelling field to collect and analyze statistics on the growing number of gasification modelling studies and approaches used. The frequency of the various modelling choices made, and the trends this data reveals, is reported. For new researchers this review provides a succinct guide to the modelling choices that needs to made early on in a modelling study or project. A detailed methodology characterization is introduced that includes consequential modelling choices not explicitly addressed by prior reviews. To seasoned researchers this study provides the first statistical (as opposed to ad hoc or anecdotal) picture of what their fellow researchers are doing. The data to be presented reveals that even though the availability of kinetic data increased over the last two decades, the fraction of simulations that utilize kinetic modelling (as opposed to pure equilibrium calculations) decreased from roughly 50% to around 25% over the last decade.

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Section: Introduction and Objectivesmentioning

confidence: 99%

A review of biomass gasification modelling

Safarian

Unnþórsson

Richter

2019

Renewable and Sustainable Energy Reviews

270

116

View full text Add to dashboard Cite

show abstract

“…Among the various alternative energy sources, biomass has obtained more interest since it is the only suitable and renewable primary energy resource that can provide alternative transportation fuels [3] [4] [5]. Extracting energy from biomass requires biochemical or thermochemical processes [6]. During biochemical processes, biomass is converted to biogas and residual by the digestive action of living organisms.…”

Section: Introductionmentioning

confidence: 99%

Waste Biomass Gasification Simulation Using Aspen Plus: Performance Evaluation of Wood Chips, Sawdust and Mixed Paper Wastes

Safarian¹,

Richter²,

Unnþórsson³

2019

JPEE

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Biomass is one of the most widely available energy sources and gasification is a thermal conversion process where biomass is transformed into a fuel gas with a gasifying agent. In this paper by using ASPEN Plus, a new steady state simulation model for down draft waste biomass gasification was developed. The model that is stoichiometric equilibrium-based is proposed to be used for optimization of the gasifier performance. Prediction accuracy of the model is validated by comparing with available experimental and modeling results in other literature. Then the model is used for comparative analysis of the gasification performance of sawdust, wood chips and mixed paper wastes. In the model, the operating parameters of temperature and equivalence ratio (ER) have been varied over wide range and their effect on syngas composition, syngas yield, low heating value (LHV) of syngas and cold gas efficiency (CGE) has been investigated. Raise in temperature increases the production of CO and H 2 which leads to higher syngas yield, LHV and CGE. However, increasing ER decreases the production of CO and H 2 which results lessens in LHV and CGE but syngas yield continuously increases because more oxygen is available for biomass reactions at high ER. The optimal values of CO and H 2 mole fraction and CGE of sawdust, wood chips and mixed paper wastes are located at 900˚C, 1000˚C and 1000˚C, respectively and ER range is between 0.20-0.35 regardless of the kind of biomass which is used as the feedstock.

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“…For the other syngas components, errors were in the range of 10-30%. Such relatively high errors are anticipated when equilibrium models are implemented [50,51]. Overall, it is shown that the developed model can reliably predict the lower heating value of the produced syngas and the cold gas efficiency of the process which would subsequently be used as input for the LCA approach.…”

Section: Literature Datatitlementioning

confidence: 94%

“…The first reactor is fed with air to simulate the oxidation zone, and the second one simulates the reduction zone at a lower temperature than that of the oxidation zone. According to various literature sources, equilibrium models, implementing RGIBBS reactors, tend to overestimate CO and H 2 and underestimate CH 4 and CO 2 volume fractions [50,51]. Various solutions have been proposed.…”

Section: ∆H (Kj/mol) Reaction Number Reaction Namementioning

confidence: 99%

Integrating LCA with Process Modeling for the Energetic and Environmental Assessment of a CHP Biomass Gasification Plant: A Case Study in Thessaly, Greece

Voultsos

Katsourinis

Giannopoulos

et al. 2020

Eng

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The energetic and environmental performance of a cogeneration biomass gasification plant, situated in Thessaly, Greece is evaluated via a methodology combining process simulation and Life Cycle Assessment (LCA). Initially, the gasification process of the most common agricultural residues found in the Thessaly region is simulated to establish the effect of technical parameters such as gasification temperature, equivalence ratio and raw biomass moisture content. It is shown that a maximum gasification efficiency of approximately 70% can be reached for all feedstock types. Lower efficiency values are associated with increased raw biomass moisture content. Next, the gasifier model is up-scaled, achieving the operation of a 1 MWel and 2.25 MWth cogeneration plant. The Life Cycle Assessment of the operation of the cogeneration unit is conducted using as input the performance data from the process simulation. Global Warming Potential and the Cumulative Demand of Non-Renewable Fossil Energy results suggest that the component which had the major share in both impact categories is the self-consumption of electricity of the plant. Finally, the key conclusion of the present study is the quantification of carbon dioxide mitigation and non-renewable energy savings by comparing the biomass cogeneration unit operation with conventional reference cases.

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Development of a new steady state zero-dimensional simulation model for woody biomass gasification in a full scale plant

Cited by 72 publications

References 37 publications

A review of biomass gasification modelling

A review of biomass gasification modelling

Waste Biomass Gasification Simulation Using Aspen Plus: Performance Evaluation of Wood Chips, Sawdust and Mixed Paper Wastes

Integrating LCA with Process Modeling for the Energetic and Environmental Assessment of a CHP Biomass Gasification Plant: A Case Study in Thessaly, Greece

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