Co-combustion of unburned carbon separated from lignite fly ash

Rybak, W.; Moroń, Wojciech; Czajka, Krzysztof; Kisiela, Anna M.; Ferens, Wiesław; Jodkowski, W.; Andryjowicz, C.

doi:10.1016/j.egypro.2017.07.165

Cited by 14 publications

(4 citation statements)

References 5 publications

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“…The subjects of the research presented in this paper are selected fractions of unburned carbon recovered from lignite fly ash, resulting from the nominal operation of the pulverized carbon boiler BB-1150 in Bełchatów Power Plant (370 MW unit). Unburned carbon along with fly ash was collected with the use of demonstration installation from the ash hoppers located under the second pas chamber and rotary air heater (more in [29]). The combustible parts have been separated by a mechanical classification system with a capacity of 500 kg•h −1 into three grain classes: ~0.8 mm and 57.3% (marked UnCarb_HAsh), ~1.0 mm and 44.6% (marked UnCarb_MAsh), and ~1.5 mm and 12.8% (marked UnCarb_LAsh).…”

Section: Methodsmentioning

confidence: 99%

Linear and Non-Linear Regression Analysis for the Adsorption Kinetics of SO2 in a Fixed Carbon Bed Reactor—A Case Study

Kisiela-Czajka

Dziejarski

2022

Energies

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Here, we determined the kinetic parameters of SO2 adsorption on unburned carbons from lignite fly ash and activated carbons based on hard coal dust. The model studies were performed using the linear and non-linear regression method for the following models: pseudo first and second order, intraparticle diffusion, and chemisorption on a heterogeneous surface. The quality of the fitting of a given model to empirical data was assessed based on: R2, R, Δq, SSE, ARE, χ2, HYBRID, MPSD, EABS, and SNE. It was clearly shown that the linear regression more accurately reflects the behaviour of the adsorption system, which is consistent with the first-order kinetic reaction—for activated carbons (SO2 + Ar) or chemisorption on a heterogeneous surface—for unburned carbons (SO2 + Ar and SO2 + Ar + H2O(g) + O2) and activated carbons (SO2 + Ar + H2O(g) + O2). Importantly, usually, each of the approaches (linear/non-linear) indicated a different mechanism of the studied phenomenon. A certain universality of the χ2 and HYBRID functions has been proved, the minimization of which repeatedly led to the lowest SNE values for the indicated models. Fitting data by any of the non-linear equations based on the R or R2 functions only cannot be treated as evidence/prerequisite of the existence of a given adsorption mechanism.

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Section: Methodsmentioning

confidence: 99%

Linear and Non-Linear Regression Analysis for the Adsorption Kinetics of SO2 in a Fixed Carbon Bed Reactor—A Case Study

Kisiela-Czajka

Dziejarski

2022

Energies

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“…The subjects of the research presented in this paper are selected fractions of unburned carbon recovered from lignite fly ash, resulting from the nominal operation of the pulverized carbon boiler BB-1150 in Bełchatów Power Plant (370 MW unit). Unburned carbon along with fly ash was collected with the use of demonstration installation from the ash hoppers located under the second pas chamber and rotary air heater (more in [29]). The combustible parts have been separated by a mechanical classification system with a capacity of 500 kg•h -1 into three grain classes: ~0.8 mm and 57.3% (marked UnCarb_HAsh), ~1.0 mm and 44.6% (marked UnCarb_MAsh), and ~1.5 mm and 12.8% (marked Un-Carb_LAsh).…”

Section: Methodsmentioning

confidence: 99%

Linear and Non-linear Regression Analysis for the Adsorption Kinetics of SO<sub>2</sub> in a Fixed Carbon Bed Reactor – A Case Study

Kisiela-Czajka¹,

Dziejarski²

2021

Preprint

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Kinetic parameters of SO2 adsorption on unburned carbons from lignite fly ash and activated carbons based on hard coal dust were determined. The model studies were performed using the linear and non-linear regression method for the following models: pseudo first and second-order, intraparticle diffusion, and chemisorption on a heterogeneous surface. The quality of the fitting of a given model to empirical data was assessed based on: R2, R, Δq, SSE, ARE, χ2, HYBRID, MPSD, EABS, and SNE. It was clearly shown that it is the linear regression that more accurately reflects the behaviour of the adsorption system, which is consistent with the first-order kinetic reaction – for activated carbons (SO2+Ar) or chemisorption on a heterogeneous surface – for unburned carbons (SO2+Ar and SO2+Ar+H2O(g)+O2) and activated carbons (SO2+Ar+H2O(g)+O2). Importantly, usually, each of the approaches (linear/non-linear) indicated a different mechanism of the studied phenomenon. A certain universality of the χ2 and HYBRID functions has been proved, the minimization of which repeatedly led to the lowest SNE values for the indicated models. Fitting data by any of the non-linear equations based on the R or R2 functions only, cannot be treated as evidence/prerequisite of the existence of a given adsorption mechanism.

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“…Slag/bottom ash resulting from lignite combustion is also a waste that pose serious problem and creates environmental pollution through the air by particular matter PM10 and PM2.5, water and soil. This material contains an appreciable amount of unburned carbon, which can be recovered and further used as an energy source; the carbon-free ash can be utilized in cement, concrete and mortars, bitumen asphalt binder for road construction and more recently in catalysts development (Rybak et al, 2017;Asl et al, 2018;Jatav et al, 2019).Even lignite is no longer used in the West European countries, there are countries like Romania, Poland and Ukraine that face with this issue. A solution with a positive economic impact is to obtain an alternative type of solid fuel with energy potential based on slag -bottom ash.…”

Section: Introductionmentioning

confidence: 99%

An Alternative for Valorization of Wastes as Energy Source

Zaharioiu

Icsi²,

Bucura

et al. 2021

Smart Energ Sustain Env

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The efficient use of renewable energy resources is one of the most important elements of energy sustainability at the European Union level. The growing demand for energy will continue to support the use of other materials as resources of energy than conventional ones, coal, crude oil and natural gas. This paper investigates the feasibility of valorizing wastes with energetic potential in a multi-component alternative solid fuel. Biomass - vegetable waste (BW), meat and bone meal (MBM) and slag/bottom ash from lignite combustion, in combination with a low-rank, lignite, was used to prepare tri-component mixtures (MBM+Lignite +Slag and MBM+BW+Lignite) indifferent variable proportions, and further characterized to assess their potential for use as energy source. The thermal behavior of the mixtures was assessed by thermogravimetric analysis; the resulting ashes were characterized by scanning electron microscopy.Also, the environmental impact as emissions level after their combustion was considered. In terms of an effective way of removing wastes (e.g. slag/bottom ash and MBM), the most promising proposed solid mixture was the combination MBM(50%): Lignite(25%): Slag (25%), with a high energetic value, > 2700 kcal/kg, a volatile matter content > 35 %wt, and the ash in half amount compared to its initial mass. Thestudy’s findings illustrate the possibility of turning solid waste to raw material by converting them into energy, and promote the development of long-term waste management and recovery solutions.

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Co-combustion of unburned carbon separated from lignite fly ash

Cited by 14 publications

References 5 publications

Linear and Non-Linear Regression Analysis for the Adsorption Kinetics of SO2 in a Fixed Carbon Bed Reactor—A Case Study

Linear and Non-Linear Regression Analysis for the Adsorption Kinetics of SO2 in a Fixed Carbon Bed Reactor—A Case Study

Linear and Non-linear Regression Analysis for the Adsorption Kinetics of SO<sub>2</sub> in a Fixed Carbon Bed Reactor – A Case Study

An Alternative for Valorization of Wastes as Energy Source

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