Primary Fragmentation Behavior Investigation in Pulverized Coal Combustion with High-Speed Digital Inline Holography

Wu, Xuecheng; Lin, Xiaodan; Yao, Longchao; Wu, Yingchun; Cen, Kefa

doi:10.1021/acs.energyfuels.9b01521

Cited by 16 publications

(5 citation statements)

References 34 publications

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“…However, no fragmentation was observed for brown coal (lignite) in their experiments. Wu et al [91] employed high-speed digital in-line holography to measure particle fragments in a McKenna burner, characterizing the velocity, size, and fragmentation modes for lignite coal particles. Their results showed that temperature and residence time influenced the probability of fragmentation occurring.…”

Section: Other Combustion Phenomenamentioning

confidence: 99%

Particle-resolved optical diagnostics of solid fuel combustion for clean power generation: a review

Li,

Geschwindner,

Dreizler

et al. 2023

Meas. Sci. Technol.

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Chemical energy carriers are crucial for addressing challenges that arise from the time lag, large distances, and temporal fluctuations in renewable energy production, which lead to unbalanced energy production and demand. However, the thermochemical utilization of chemical energy carriers such as solid fuels must be widely decarbonized to achieve a climate-neutral circular economy, despite remaining important for reliable electricity generation and stable economics. To accomplish this, extensive fundamental research is required to understand the underlying chemical and physical processes that can potentially be realized on an industrial scale. This paper reviews optical diagnostics used for particle-level combustion studies for clean power generation applications. Specifically, we focus on particle-resolved optical experiments for oxy-fuel coal combustion, biomass combustion, and utilization of iron in a regenerative oxidation-reduction scheme. We summarize previous studies categorized by the type of fuels, used reactors, investigated parameters, and experimental methodology. To provide a shared understanding, phenomenological aspects of the multistage combustion process at the particle level are outlined using examples of bituminous coal and iron particle burning in hot gas, respectively. A selection of experimental studies is highlighted, with a particular methodological focus on the measurement of relevant quantities at the particle level. These representative examples address relevant parameters, including particle number density, particle size and shape, surface temperature, ignition and combustion time, gas flame structure, gas temperature and species, nanoparticle formation, gas velocity, and particle dynamics. Finally, open issues and unsolved problems that require further effort to improve diagnostics for solid fuel combustion studies are discussed.

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Section: Other Combustion Phenomenamentioning

confidence: 99%

Particle-resolved optical diagnostics of solid fuel combustion for clean power generation: a review

Li,

Geschwindner,

Dreizler

et al. 2023

Meas. Sci. Technol.

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“…As a versatile computational imaging technique with a simple optical configuration, DH is particularly useful for in situ characterization of burning particles in multiphase reactive flows. Recently, DH has been widely applied in the study of coal particle combustion [118,121,[164][165][166][167][168][169][170][171][172]. Trolinger et al [172] first used DH to observe coal particle combustion in three dimensions.…”

Section: Characterization Of Coal Particles and Aluminized Propellant...mentioning

confidence: 99%

“…The results suggested that DIH has higher spatial resolution, while DOH has the higher SNR. Wu et al [165][166][167][168][169][170][171]173] from Zhejiang University have done a lot of work to study coal particle combustion using DH. For example, they demonstrated 3D imaging of burning char and volatile plume in a coal dust flame [169].…”

Section: Characterization Of Coal Particles and Aluminized Propellant...mentioning

confidence: 99%

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Recent advances and applications of digital holography in multiphase reactive/nonreactive flows: a review

Huang

Cai

et al. 2021

Meas. Sci. Technol.

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In various multiphase flows, the characterization of particle dynamics is of great significance to understand the interaction between particles and the surrounding flows. Digital holography (DH) is a versatile 3D imaging technique, which has shown great advantages in quantitative analysis and non-intrusive diagnosis of various particle fields. This review focuses on the advances and applications of DH in multiphase reactive/non-reactive flows in the last two decades. The basic principles of DH are introduced firstly, including its mathematical background and representative experimental configurations. Then, the image processing algorithms for hologram reconstruction and automatic focusing are summarized, along with the methods for separating overlapping particles and tracking moving particles. As a prevailing and powerful tool, the recent applications of deep learning in processing holographic images is also included in this review. Furthermore, the applications of DH in the characterization of particle dynamics in multiphase reactive/non-reactive flows are surveyed in detail. Lastly, the review concludes with the discussion of the technical limits of DH and provides insights into its promising future research directions.

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“…Since the temperature gradient in a drop tube furnace (DTF) is lower than that in a practical coal-fired power plant, high temporal and spatial resolution measurements are required to reveal the time series of soot formation under high heating rate conditions. Although optical or laser measurement methods are useful for measuring soot formation, insufficient in-depth data have been obtained via the optical measurement of single pulverized coal particles. ,− Wu et al demonstrated that digital in-line holography has the capacity to simultaneously measure reacting multiphase objects in hostile environments. Yao et al .…”

Section: Introductionmentioning

confidence: 99%

Time-Series Temperature Measurement during Combustion of Volatile Matter and Coal Char of a Single Pulverized Coal Particle via Magnified Two-Color Pyrometry with Blue Backlit Imaging

et al. 2020

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In this study, a new technique was developed to measure time-series temperature during the combustion of volatile matter and coal char using magnified two-color pyrometry with high-speed blue backlit imaging. A steep temperature gradient was reproduced by supplying pulverized coal particles to a high-temperature region formed by a counterflow hydrogen/air diffusion flame. The time-series temperature measurement of the volatile matter combustion and surface combustion of a single pulverized coal particle was successfully performed with high-speed magnified imaging and two-color pyrometry. The results indicate that the particle size affects the volatile matter and char combustion. The estimation of the duration of the combustion of volatile matter from the existence of soot particles resulted in an average combustion duration of 3 ms and an average flame temperature of 2000 K under the 21% oxygen condition. The volatile matter combustion duration and flame size increased as the particle size of the coal increased due to an increase in the amount of volatile matter. The combustion temperature of the coal char decreased because the heat capacity of coal particles increased with an increase in the coal particle size.

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Primary Fragmentation Behavior Investigation in Pulverized Coal Combustion with High-Speed Digital Inline Holography

Cited by 16 publications

References 34 publications

Particle-resolved optical diagnostics of solid fuel combustion for clean power generation: a review

Particle-resolved optical diagnostics of solid fuel combustion for clean power generation: a review

Recent advances and applications of digital holography in multiphase reactive/nonreactive flows: a review

Time-Series Temperature Measurement during Combustion of Volatile Matter and Coal Char of a Single Pulverized Coal Particle via Magnified Two-Color Pyrometry with Blue Backlit Imaging

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