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Particle dynamics in a gas assisted coal combustion chamber using advanced laser diagnostics

Becker, Lukas G. and Pielsticker, Stefan and Böhm, Benjamin and Kneer, Reinhold and Dreizler, Andreas (2020):
Particle dynamics in a gas assisted coal combustion chamber using advanced laser diagnostics.
In: Fuel, 269, p. 117188. ISSN 0016-2361,
DOI: 10.1016/j.fuel.2020.117188,
[Article]

Abstract

Coal combustion is strongly influenced by the interaction of gas phase turbulence, particle dynamics and chemistry. To advance the understanding of these mutually coupled processes, experiments under well-controlled inflow and boundary conditions are needed that provide access to non-intrusive multi-parameter measurement techniques. Following this idea, in this work gas-assisted coal flames with power up to 40 kWth are investigated in an optically accessible combustion chamber including a quartz glass quarl of the swirl burner assembly. A Two-phase particle image/tracking velocimetry (PIV-PTV) technique is applied for the first time in coal combustion to measure simultaneously velocities of small and large particles. Due to the wide particle size distribution of the grinded coal small particles can be used as tracers for the gas flow while the velocity of large particles can be measured with particle tracking velocimetry (PTV) simultaneously. For this purpose Mie-scattering is imaged by a single camera. Large and small particles are separated in the post-processing based on apparent size and signal intensity of each particle individually. By measuring quasi-simultaneously laser-induced fluorescence of intermediate hydrocarbons released from coal particles during their devolatilization process, regions of intense pyrolysis are identified. Flames operated with different coal types and thermal powers in air and oxy-fuel atmospheres are compared to each other. Additionally, advantages and limits of the measurement techniques are discussed in the context of coal combustion.

Item Type: Article
Erschienen: 2020
Creators: Becker, Lukas G. and Pielsticker, Stefan and Böhm, Benjamin and Kneer, Reinhold and Dreizler, Andreas
Title: Particle dynamics in a gas assisted coal combustion chamber using advanced laser diagnostics
Language: English
Abstract:

Coal combustion is strongly influenced by the interaction of gas phase turbulence, particle dynamics and chemistry. To advance the understanding of these mutually coupled processes, experiments under well-controlled inflow and boundary conditions are needed that provide access to non-intrusive multi-parameter measurement techniques. Following this idea, in this work gas-assisted coal flames with power up to 40 kWth are investigated in an optically accessible combustion chamber including a quartz glass quarl of the swirl burner assembly. A Two-phase particle image/tracking velocimetry (PIV-PTV) technique is applied for the first time in coal combustion to measure simultaneously velocities of small and large particles. Due to the wide particle size distribution of the grinded coal small particles can be used as tracers for the gas flow while the velocity of large particles can be measured with particle tracking velocimetry (PTV) simultaneously. For this purpose Mie-scattering is imaged by a single camera. Large and small particles are separated in the post-processing based on apparent size and signal intensity of each particle individually. By measuring quasi-simultaneously laser-induced fluorescence of intermediate hydrocarbons released from coal particles during their devolatilization process, regions of intense pyrolysis are identified. Flames operated with different coal types and thermal powers in air and oxy-fuel atmospheres are compared to each other. Additionally, advantages and limits of the measurement techniques are discussed in the context of coal combustion.

Journal or Publication Title: Fuel
Journal volume: 269
Uncontrolled Keywords: Two phase, Oxy-fuel, Coal, LIF, PIV, PTV
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Reactive Flows and Diagnostics (RSM)
Date Deposited: 23 Jul 2020 05:41
DOI: 10.1016/j.fuel.2020.117188
Official URL: http://www.sciencedirect.com/science/article/pii/S0016236120...
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