Experimental tests on co-firing coal and biomass waste fuels in a fluidised bed under oxy-fuel combustion

Liu, Qinwen; Wang, Zhong; Tang, Rui; Yu, Hongqian; Gu, Jinrao; Zhou, Guifeng; Yu, Aibing

doi:10.1016/j.fuel.2020.119312

Cited by 55 publications

(11 citation statements)

References 75 publications

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“…However, when compared to conventional energy sources such as coal, biomass has a higher oxygen content, higher moisture content, lower ash melting temperature, and lower calorific value . Combining coal and biomass is one solution to maintain energy content through methods such as cofiring, , cogasification, − and copyrolysis. − In addition, the combination of biomass and fossil fuels, such as coal, provides many advantages. The addition of coal to biomass can increase the energy density of the feedstock and reduce fluctuations in the supply of biomass.…”

Section: Introductionmentioning

confidence: 99%

Kinetic Study of Copyrolysis of the Green Microalgae Botryococcus braunii and Victorian Brown Coal by Thermogravimetric Analysis

et al. 2021

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The copyrolysis of the green microalgae Botryococcus braunii and Victorian brown coal was studied by thermogravimetric analysis using the Kissinger−Akahira−Sunose (KAS), Flynn−Wall−Ozawa (FWO), and Friedman methods. This research aims to study the synergistic effect of mixing B. braunii and Victorian brown coal in pyrolysis reactions on the kinetic parameter using thermogravimetric analysis. Copyrolysis was carried out at four heating rates, 10, 15, 20, and 25 °C/min. The copyrolysis reaction of B. braunii and Victorian brown coal occurred from 155.79 to 545.27 °C; this temperature range was lower than that for the pyrolysis of only B. braunii under the same conditions. However, mixing the two samples increased the thermal decomposition temperature for each conversion value (α), as well as the average activation energy, due to the presence of compounds that require high temperatures to undergo pyrolysis in the Victorian brown coal. The average activation energies of the copyrolysis reaction of B. braunii and Victorian brown coal determined using the KAS, FWO, and Friedman methods were 195.20

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Section: Introductionmentioning

confidence: 99%

Kinetic Study of Copyrolysis of the Green Microalgae Botryococcus braunii and Victorian Brown Coal by Thermogravimetric Analysis

et al. 2021

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“…Since combustion involves chemical reactions, predicting good kinetic parameters forms the basis of good mechanisms that can be used to predict the progression of chemical reactions with improved accuracy. 2 …”

Section: Introductionmentioning

confidence: 99%

“…Due to the sheer vastness of biomass species, a combination of appropriate modeling and experimental techniques are needed to address the gap that exists with respect to certain species that are employed in the cocombustion process. Since combustion involves chemical reactions, predicting good kinetic parameters forms the basis of good mechanisms that can be used to predict the progression of chemical reactions with improved accuracy …”

Section: Introductionmentioning

confidence: 99%

Determination of Cocombustion Kinetic Parameters for Bituminous Coal and Pinus Sawdust Blends

2022

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Cocombustion of bituminous coal (HC) and Pinus sawdust (PS) was investigated in this paper with the aim of determining the kinetic parameters relevant to cocombustion reactions of their fuel blends. PS was used because it is a waste biomass product capable of generating energy. Motivated by the need to partly substitute HC used in existing boilers with PS, the optimum kinetic parameters at different blending ratios were thus investigated with the ultimate goal of diversifying the energy portfolio for these boilers. Blended samples were prepared with a PS substitution by mass ranging from 0 to 30%, thus producing five samples, namely:100HC, 90HC10PS, 80HC20PS, 70HC30PS, and 100PS. A simultaneous thermogravimetric analyzer was used to investigate the degradation of the fuel samples under a synthetic air atmosphere using 5, 12.5, and 20 °C/min heating rates. The kinetic parameters were evaluated using the distributed activation energy model (DAEM) due to its ability to evaluate complex parallel chemical mechanisms. The influential homogenous volatile combustion and heterogenous combustion stages produced an increasing trend for activation energy ( E a ) with increased PS (100HC to 70HC30PS) from an average of 61.80–104.34 kJ/mol while the pre-exponential factor increased from 1.31 × 10 5 to 6.52 × 10 8 . Generally, blending of HC with PS did not produce a linear variation of the kinetic parameters; thus, by using various plots, an optimum blending ratio of 80HC20PS was deduced.

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“…24 Liu et al examined the combustion stability during co-firing of coal and biomass, then concluded that an optimal biomass blending mass ratio was closely related to the fuel type and combustion mode. 25 Jiang and Jeon simulated the combustion and emission characteristics of two pretreated biomass fuels mixed with coal, and the results showed that the pretreated biomass maintained stable combustion under different co-firing ratios and promoted the ignition of coal. 26 Choi et al investigated woody biomass co-firing with coal during air-staged combustion, and came to a conclusion that the 20% co-firing ratio had a stable combustion environment compared to other ratios.…”

Section: Introductionmentioning

confidence: 99%

Stackelberg game based co-firing biomass with coal under carbon cap-and-trade regulation

Xie

Liu

2021

Energy & Environment

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Coal-fired power industry is under enormous pressure to accomplish carbon emission reduction targets. This paper proposes a bi-level multi-objective model for co-firing biomass with coal under carbon cap-and-trade regulation which considers a leader-follower Stackelberg game between the authority and the coal-fired power plants. The upper level regards social welfare maximization and allocation satisfaction maximization as its multiple objectives, while the lower level attempts to maximize the profits of each coal-fired power plant. The inherent uncertainty prompts the motivation for employing fuzzy set theory to characterize the uncertain parameters and determine their exact values. A case study from Shandong Province, China is provided to demonstrate the practicality and efficiency of the optimization model. [Formula: see text]-constraint method and interactive algorithm are used to solve the model, and furthermore the solutions associated with different free carbon emission quota levels and minimal allocation satisfactions have been generated to examine the influences. Based on the analysis and discussion, the methodology can meet the carbon emission reduction goals and transit to a lower-carbon power generation. It also assists the decision makers to develop desired quota allocation strategy in accordance with their attitudes and actual conditions.

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Experimental tests on co-firing coal and biomass waste fuels in a fluidised bed under oxy-fuel combustion

Cited by 55 publications

References 75 publications

Kinetic Study of Copyrolysis of the Green Microalgae Botryococcus braunii and Victorian Brown Coal by Thermogravimetric Analysis

Kinetic Study of Copyrolysis of the Green Microalgae Botryococcus braunii and Victorian Brown Coal by Thermogravimetric Analysis

Determination of Cocombustion Kinetic Parameters for Bituminous Coal and Pinus Sawdust Blends

Stackelberg game based co-firing biomass with coal under carbon cap-and-trade regulation

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