Synergistic effect of the cotton stalk and high-ash coal on gas production during co-pyrolysis/gasification

Yang, Panbo; Zhao, Shuheng; Zhang, Quanguo; Hu, Jianjun; Liu, Ronghou; Huang, Zhen; Gao, Yulong

doi:10.1016/j.biortech.2021.125336

Cited by 32 publications

(11 citation statements)

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“…Therefore, RS and SBC in blends were crucial to volatile formation below and above about 450 °C, respectively. The interactions between RS and SBC components during co-pyrolysis processes might also affect volatile formation, such as the reported catalytic contribution of RS to blend decomposition . For example, the free radicals formed from the thermal degradation of RS components, such as the C–H bending vibrations of alkanes, could promote the interactions with SBC components, making the CC cleavage accelerated .…”

Section: Resultsmentioning

confidence: 99%

“…The EIC values of volatiles were calculated to evaluate their emission potentials, which showed that the average EIC values (range) of volatiles from RS1/SBC3, RS1/SBC1, and RS3:SBC1 co-pyrolysis were 0.06 (0.02–0.14), 0.08 (0.03–0.16), and 0.12 (0.03–0.36), respectively (Figure S6). These results suggested that the increased RS proportion accelerated the emission potential of volatiles potentially, due to the formation of a considerable amount of radicals, enhancing the cleavages of more structures in the blends . The formation of two types of free radicals of char from RS pyrolysis, corresponding to hydroxyl radicals ( • OH – ) and superoxide radicals ( • O 2– ), supported this interpretation.…”

Section: Resultsmentioning

confidence: 99%

“…The relative intensity percentages of volatile species under different temperature ranges of RS/SBC co-pyrolysis could be significantly different from those of volatile species released from the individual RS and SBC pyrolysis. For example, the volatiles and chars formed in the RS pyrolysis could interact with SBC components, thus altering the gaseous productions formed from SBC pyrolysis …”

Section: Resultsmentioning

confidence: 99%

“…The interactions between RS and SBC components during co-pyrolysis processes might also affect volatile formation, such as the reported catalytic contribution of RS to blend decomposition. 50 For example, the free radicals formed from the thermal degradation of RS components, such as the C−H bending vibrations of alkanes, could promote the interactions with SBC components, making the C�C cleavage accelerated. 51 The relative intensity percentages of volatile species under different temperature ranges of RS/SBC copyrolysis could be significantly different from those of volatile species released from the individual RS and SBC pyrolysis.…”

Section: Identification and Relative Emission Content Of Volatilesmentioning

confidence: 99%

“…For example, the volatiles and chars formed in the RS pyrolysis could interact with SBC components, thus altering the gaseous productions formed from SBC pyrolysis. 50 The specific N-containing species were selected to explore their dynamic emissions, including H-pyrrole (C 4 H 5 N), pyridine-4-amine (C 5 H 6 N 2 ), 3-vinylpyridine (C 7 H 7 N), 1Hindole (C 8 H 6 N), 2-(1-methyl-1H-pyrrol-2-yl)acetonitrile (C 7 H 8 N 2 ), quinoline (C 9 H 7 N), 2-methyl-6-nitropyridine (C 6 H 6 N 2 O 2 ), 3-phenylpyridine (C 11 H 9 N), and (9H-carbazol-9-yl)methanol (C 13 H 11 NO) (Figure 2). 52 The maximum emission of selected N-containing species was observed at 500−600 °C, and the selected species (e.g., H-pyrrole, pyridine-4-amine, and 3-vinylpyridine) with lower m/z values showed higher emission intensity.…”

Section: Identification and Relative Emission Content Of Volatilesmentioning

confidence: 99%

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Real-Time Emission, Chemical Properties, and Dynamic Evolution Mechanism of Volatile Organic Compounds during Co-Pyrolysis of Rice Straw and Semi-Bituminous Coal

Song

Bai

et al. 2023

ACS EST Eng.

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The co-pyrolysis of biomass–coal blends improves energy utilization efficiency; however, the synergistic mechanisms behind thermal degradation and volatile formation remain unclear. We combined online thermogravimetry–Fourier transform infrared spectrometry–gas chromatography/mass spectrometry (TG–FTIR–GC/MS), Gaussian deconvolution, and two-dimensional correlation spectrometry (2D-COS) to reveal the component degradation, sequential response, and evolution mechanism of volatiles during co-pyrolysis of rice straw (RS) and semi-bituminous coal (SBC), which were mixed in three proportions of 1:3, 1:1, and 3:1. The activation energies (24.70–53.43 kJ mol–1) and preexponential factors (44.67–7663.43 min–1) for decomposition and average emission intensity coefficient (EIC) (0.06–0.12) of volatiles exhibited significant heterogeneity and were highly dependent on pyrolysis temperature and blend proportion. The EIC values of phenols/esters, alcohols/ethers, ketones, aldehydes, and acids increased with increasing RS proportion. The volatile distribution of blends with high SBC proportions was mainly located in the decarbonylation/dehydration reaction region. Moreover, the volatile organic compound (VOC) and intermediate VOC percentages were 59–83 and 17–39%, respectively, with N-containing species contributing the most to the intermediate VOC fraction. Most of the volatiles mainly exhibited reducing character, with average carbon oxidation state below zero. An increase in the proportion of RS and SBC contributed to high unsaturation and small carbon skeletons of volatiles, respectively. Notably, the primary sequential temperature response of volatiles was hydrocarbons, alcohols/phenols/ethers/esters, and (aldehydes/ketones/acids, aromatics), in that order. Furthermore, we proposed a novel synergistic mechanism to demonstrate that the heterogeneous degradation of RS/SBC components contributed significantly to the dynamic formation of volatiles during the co-pyrolysis process. These novel insights into the mechanisms of biomass–coal co-pyrolysis are useful for energy optimization and pollution control.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Identification and Relative Emission Content Of Volatilesmentioning

confidence: 99%

Section: Identification and Relative Emission Content Of Volatilesmentioning

confidence: 99%

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