Biomass gasification using mixtures of air, saturated steam, and oxygen in a two-stage downdraft gasifier. Assessment using a CFD modeling approach

Maya, Diego Mauricio Yepes; Lora, Electo Eduardo Silva; Andrade, Rubenildo Vieira; Ratner, Albert; Ángel, Juan Daniel Martínez

doi:10.1016/j.renene.2021.06.051

Cited by 19 publications

(7 citation statements)

References 53 publications

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“…A grid dependency or sensitivity test was conducted to determine the optimal number of mesh elements, as outlined by Pandey, Prajapati [2]. This test assesses the impact of mesh density on simulation results and aids in estimating computational resource consumption [69]. While ANSYS Fluent 2021 R2 allows the generation of tetrahedral and hexahedral meshes, this study opted for a hexahedral mesh because of its superior quality and faster computation times.…”

Section: Grid Sensitivity Analysismentioning

confidence: 99%

CFDs Modeling and Simulation of Wheat Straw Pellet Combustion in a 10 kW Fixed-Bed Downdraft Reactor

Nath,

Chen,

Bowtell

et al. 2024

Processes

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This research paper presents a comprehensive study on the combustion of wheat straw pellets in a 10 kW fixed-bed reactor through a Computational Fluid Dynamics (CFDs) simulation and experimental validation. The developed 2D CFDs model in ANSYS meshing simulates the combustion process in ANSYS Fluent software 2021 R2. The investigation evaluates key parameters such as equivalence ratio, heating value, and temperature distribution within the reactor to enhance gas production efficiency. The simulated results, including combustion temperature and produced gases (CO2, CO, CH4), demonstrate a significant agreement with experimental combustion data. The impact of the equivalence ratio on the conversion efficiency and lower heating value (LHV) is systematically explored, revealing that an equivalence ratio of 0.35 is optimal for maximum gas production efficiency. The resulting producer gas composition at this optimum condition includes CO (~27.67%), CH4 (~3.29%), CO2 (~11.09%), H2 (~11.09%), and N2 (~51%). The findings contribute valuable insights into improving the efficiency of fixed-bed reactors, offering essential information on performance parameters for sustainable and optimized combustion.

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Section: Grid Sensitivity Analysismentioning

confidence: 99%

CFDs Modeling and Simulation of Wheat Straw Pellet Combustion in a 10 kW Fixed-Bed Downdraft Reactor

Nath,

Chen,

Bowtell

et al. 2024

Processes

View full text Add to dashboard Cite

show abstract

“…A grid dependency or sensitivity test was conducted to determine the optimal number of mesh elements, as outlined by Pandey, Prajapati [2]. This test assesses the impact of mesh density on simulation results and aids in estimating computational resource consumption [58]. While ANSYS Fluent allows the generation of both tetrahedral and hexahedral meshes, this study opted for a hexahedral mesh, chosen for its superior quality and faster computation times.…”

Section: Grid Sensitivity Analysismentioning

confidence: 99%

CFD Simulation and Experimental Validation of Wheat Straw Pellet Gasification in a 10-kW Fixed Bed Gasifier: Enhanced Syngas Production

Nath,

Chen,

Bowtell

et al. 2024

Preprint

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This research paper presents a comprehensive study on the gasification of wheat straw pellets in a 10-kW fixed bed gasifier through a combination of Computational Fluid Dynamics (CFD) simulation and experimental validation. The developed 2D CFD model in ANSYS meshing simulates the gasification process in ANSYS Fluent software. The investigation evaluates key parameters such as equivalence ratio, higher heating value, and temperature distribution within the gasifier to enhance syngas production efficiency. The simulated results exhibit a noteworthy agreement with experimental data obtained from gasification. The impact of the equivalence ratio on gas production and lower heating value (LHV) is systematically explored, revealing that an equivalence ratio of 0.35 is optimal for syngas production. The resulting producer gas composition at this optimum condition includes CO (~27.67%), CH4 (~3.29%), CO2 (~11.09%), H2 (~11.09%), and N2 (~51%). The study further investigates the positive influence of reactor temperature on increasing syngas quantity while considering the uneven shape of the reactor and various thermal reactions affecting temperature, static pressure, velocity, and density. The findings contribute valuable insights to improve the efficiency of fixed-bed gasifiers, offering essential information on performance parameters for sustainable and optimized syngas production.

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“…If the gasification parameters must be analyzed precisely and in great detail, a CFD-based model could be applied . In the CFD-based model, the equations for the mass, momentum, and energy balance over a control volume are solved to provide the results .…”

Section: Co-gasification Of Lignocellulosic Biomass (Lcb) and Plasticsmentioning

confidence: 99%

A Critical Outlook on Lignocellulosic Biomass and Plastics Co-Gasification: A Mini-Review

2022

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The generation of solid waste and lignocellulosic biomass (LCB) residues and their environmentally responsible disposal have emerged as major global challenges. A major part (around 12%) of solid waste is plastic, and the increased accumulation has become a serious public health and environmental hazard. For the combined management of residual LCB biomass and plastic waste, thermochemical conversion, particularly gasification, appears to be a potential alternative. Gasification is a process that turns high carbon-containing solid feedstocks into a combustible gas mixture known as syngas or producer gas based on the gasifying agent. Co-gasification (the gasification of two distinct feedstocks) has the potential to facilitate eco-friendly plastic waste disposal while also contributing to the production of green energy. The literature on the co-gasification of LCB and plastic waste is reviewed in the current study. These are mostly experimental studies on biomass and plastics carried out in various reactors with multiple gasifying mediums. The synergistic effects of various feedstock compositions and attributes are examined during co-gasification using experimental studies and reactor-level modeling. The impacts of operating parameters on the gas yield, tar formation, and gasifier performance are also analyzed. Finally, the challenges, research gaps, and the way toward commercialization in the context of co-gasification of various combinations of LCB and plastics are presented.

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Biomass gasification using mixtures of air, saturated steam, and oxygen in a two-stage downdraft gasifier. Assessment using a CFD modeling approach

Cited by 19 publications

References 53 publications

CFDs Modeling and Simulation of Wheat Straw Pellet Combustion in a 10 kW Fixed-Bed Downdraft Reactor

CFDs Modeling and Simulation of Wheat Straw Pellet Combustion in a 10 kW Fixed-Bed Downdraft Reactor

CFD Simulation and Experimental Validation of Wheat Straw Pellet Gasification in a 10-kW Fixed Bed Gasifier: Enhanced Syngas Production

A Critical Outlook on Lignocellulosic Biomass and Plastics Co-Gasification: A Mini-Review

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