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

Sawada, Shinya; Okada, Daisuke; Nakatsuka, Noriaki; Tainaka, Kazuki; Hori, Tsukasa; Hayashi, Jun; Akamatsu, Fumiteru

doi:10.1021/acs.energyfuels.0c01246

Cited by 7 publications

(3 citation statements)

References 32 publications

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“…The volumetric flow rates of gases are maintained constantly using the mass flow controllers. After establishing coal flames in the counterflow field, we measure the average and instantaneous spatial distribution of the soot and coal char temperature with two-color pyrometry and the particle shape with backlit imaging (Sawada et al, 2020). A high-speed camera enables to measure the temperature of soot and solid surface with high temporal resolution (Densmore et al, 2011a, b).…”

Section: Experimental Setup and Methods 21 Experimental Setup And Mementioning

confidence: 99%

Effects of ambient temperature on the combustion processes of single pulverized coal particle

Sawada

Okada

Nakatsuka

et al. 2021

JTST

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Section: Experimental Setup and Methods 21 Experimental Setup And Mementioning

confidence: 99%

Effects of ambient temperature on the combustion processes of single pulverized coal particle

Sawada

Okada

Nakatsuka

et al. 2021

JTST

Self Cite

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“…In addition, Sawada et al [78,82] used a vertical counterflow burner, which forms a H 2 /O 2 diffusion flame from the bottom port that solid fuel particles from the top port pass through. The counter-flow burner is a less used configuration for solid fuel combustion, as indicated by table 2, which also considers experiments performed in other burners and reactor systems.…”

Section: Flow Reactorsmentioning

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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“…Shinya Sawada et al [23] provided time-series temperature measurements using magnified twocolor pyrometry through blue-backlit imaging during the combustion of coal char from a single coal dust particle and volatiles. A steep temperature gradient was created by adding pulverized coal particles to a high temperature zone created by air diffusion or countercurrent hydrogen flame.…”

Section: Related Workmentioning

confidence: 99%

Guided Co-operative Waderhunt Neural Network for Measuring the Temperature of Visible Heat Source

2023

IJIES

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In this article, a novel optimization-assisted deep learning (OptiA-DL) strategy is proposed to effectively measure the temperature of visible heat sources. Initially, the image is acquired from the heat source and filtered using gelatin paper. The guided co-operative trilateral filter (GCTF) is used for image smoothening and HSV (Hue, Saturation, Value) or RGB (Red, Green, Blue) structure for colour transformation. Then, an improved Gaussian mixture model (IG-MM) is applied to segment the image into various portions. Accordingly, the compact split attention-based convolutional waderhunt autoencoder network (CSAtt-CWAN) is used for temperature prediction. In CSAtt-CWAN, the parameters are tuned using the waderhunt optimization algorithm (WHOA). The proposed OptiA-DL strategy is implemented in the Python platform through the candle flame dataset and assessed the performance in terms of different evaluation measures. Moreover, a proposed OptiA-DL's performance is compared with existing methods to determine its efficiency in temperature measurement. The minimum mean square error (MSE) value obtained by the proposed OptiA-DL strategy is 0.076, which is lower than the existing methods for measuring the temperature of the visible heat source.

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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

Cited by 7 publications

References 32 publications

Effects of ambient temperature on the combustion processes of single pulverized coal particle

Effects of ambient temperature on the combustion processes of single pulverized coal particle

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

Guided Co-operative Waderhunt Neural Network for Measuring the Temperature of Visible Heat Source

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