2009
DOI: 10.1007/s11705-009-0050-7
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CFD based combustion model for sewage sludge gasification in a fluidized bed

Abstract: Gasification is one potential way to use sewage sludge as renewable energy and solve the environmental problems caused by the huge amount of sewage sludge. In this paper, a three-dimensional Computational Fluid Dynamics (CFD) model has been developed to simulate the sewage sludge gasification process in a fluidized bed. The model describes the complex physical and chemical phenomena in the gasifier including turbulent flow, heat and mass transfer, and chemical reactions. The model is based on the Eulerian-Lagr… Show more

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Cited by 10 publications
(1 citation statement)
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“…For combustion-based conversion, CFD models study factors such as feedstock properties, gas emissions, operating parameters, and combustion efficiency . In gasification processes, CFD models assess experimental conditions for gasification reactors, including the feedstock particle size, steam and air flow rates, residence time, temperature, pressure, syngas composition, temperature distribution, turbulent flow, heat and mass transfer, and chemical reactions . However, there is relatively less CFD modeling research specifically focused on wet-waste pyrolysis and wet-waste gasification.…”
Section: Techno-economic Performance Of Wet-waste Conversionsmentioning
confidence: 99%
“…For combustion-based conversion, CFD models study factors such as feedstock properties, gas emissions, operating parameters, and combustion efficiency . In gasification processes, CFD models assess experimental conditions for gasification reactors, including the feedstock particle size, steam and air flow rates, residence time, temperature, pressure, syngas composition, temperature distribution, turbulent flow, heat and mass transfer, and chemical reactions . However, there is relatively less CFD modeling research specifically focused on wet-waste pyrolysis and wet-waste gasification.…”
Section: Techno-economic Performance Of Wet-waste Conversionsmentioning
confidence: 99%