Application of powdered activated carbon coating to fabrics in a hybrid filter to enhance mercury removal

Sung, Jooyoung; Back, Seung Ki; Lee, Eun Song; Jang, HeeJin; Seo, Yong Chil; Kang, Youn Suk; Lee, Myong‐Hwa

doi:10.1016/j.jes.2018.08.004

Cited by 23 publications

(6 citation statements)

References 39 publications

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“…Thus, mercury from the circulating oxy-fuel gas must be controlled before entering the CO 2 compression and purification unit of the oxy-fuel combustion system . Generally speaking, mercury in coal-fired flue gas exists in three main forms, which are gaseous oxidized mercury (Hg 2+ ), particle mercury (Hg p ), and elemental mercury (Hg 0 ) . Among them, Hg 2+ has good water solubility; therefore, it can be effectively removed by a wet flue gas desulfurization (WFGD) device.…”

Section: Introductionmentioning

confidence: 99%

NH₄Br-Modified Biomass Char for Mercury Removal in a Simulated Oxy-fuel Atmosphere: Mechanism Analysis by X-ray Photoelectron Spectroscopy

et al. 2020

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Mercury from recycled oxy-fuel gas needs to be removed because it can damage the aluminum devices in the system. In this work, low-cost NH4Br-modified rice husk char (RHCBr) was prepared as the biosorbent for mercury removal in an oxy-fuel atmosphere. RHCBr was characterized by scanning electron microscopy, Brunauer–Emmett–Teller, Fourier transform infrared spectroscopy, and X-ray photoelectron spectroscopy (XPS) technologies to study the physical and chemical properties of the prepared sorbents. Effects of O2, HCl, SO2, and HCl/SO2 synthesis on mercury removal in a simulated oxy-fuel atmosphere were investigated in a fixed-bed reactor. XPS technology was applied to explore the mercury adsorption species and deduce the potential mercury heterogeneous oxidation mechanism in an oxy-fuel atmosphere. It was found that enriched CO2 in an oxy-fuel atmosphere could facilitate the mercury removal process. Generally, O2 and HCl could promote the mercury removal efficiency in an oxy-fuel atmosphere, while SO2 could inhibit it. However, a low concentration of SO2 could promote it with the presence of HCl and O2. The mercury adsorption species on RHCBr were mainly HgSO4, HgCl2, and HgBr2 in the presence of acid gas components (HCl and SO2). HCl could actively facilitate the generation of C–Cl groups, which were also active sites for mercury removal, while SO2 could generate active site cover NH4HSO4, causing the deactivation of active sites. When HCl/SO2 synthesis was added, active site cover HSO4 – would be removed by HCl, facilitating the mercury removal process. Meantime, HgCl2 species could be further converted to the strong-bonded species HgSO4 in the presence of O2 and SO2, which was also beneficial for mercury removal.

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Section: Introductionmentioning

confidence: 99%

NH₄Br-Modified Biomass Char for Mercury Removal in a Simulated Oxy-fuel Atmosphere: Mechanism Analysis by X-ray Photoelectron Spectroscopy

et al. 2020

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“…Thus, intelligent monitoring of air pollutants is of the utmost importance to maintain acceptable levels of air quality for well-being [9][10][11][12]. 2 of 16 Among the numerous industrial pollutants, mercury contamination has been identified as one of the most acute air pollutants produced by conventional fossil-fueled power stations [13][14][15][16]. Mercury contamination can cause significant ecological hazards with a considerable effect on human well-being around the world [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Developing an ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases

et al. 2019

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Accurate prediction of mercury content emitted from fossil-fueled power stations is of the utmost importance for environmental pollution assessment and hazard mitigation. In this paper, mercury content in the output gas of power stations’ boilers was predicted using an adaptive neuro-fuzzy inference system (ANFIS) method integrated with particle swarm optimization (PSO). The input parameters of the model included coal characteristics and the operational parameters of the boilers. The dataset was collected from 82 sample points in power plants and employed to educate and examine the proposed model. To evaluate the performance of the proposed hybrid model of the ANFIS-PSO, the statistical meter of MARE% was implemented, which resulted in 0.003266 and 0.013272 for training and testing, respectively. Furthermore, relative errors between the acquired data and predicted values were between −0.25% and 0.1%, which confirm the accuracy of the model to deal non-linearity and represent the dependency of flue gas mercury content into the specifications of coal and the boiler type.

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“…Intelligent monitoring of the industrial air pollutants is of utmost important to maintain an acceptable air quality [1][2][3][4]. Among the numerous industrial pollutants, the mercury contamination has been identified as one of the most acute air pollutants produced by conventional fossil fueled power stations [5][6][7][8]. Mercury contamination can cause significant ecological hazard with a considerable effect on human well-being around the world [9][10][11][12] .…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies, e.g. [7][8][9][10][11] report that a substantial amount of mercury outflows to the earth comes from coal-fired power plants. In 2010, roughly 2000 mg mercury outflows to the air from various sections worldwide [15].…”

Section: Introductionmentioning

confidence: 99%

Developing an ANFIS-PSO Based Model to Estimate Mercury Emission in Combustion Flue Gases

Shamshirband¹,

Baghban²,

Hadipoor³

et al. 2019

Preprint

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Accurate prediction of mercury content emitted from fossil-fueled power stations is of utmost important to environmental pollution assessment and hazard mitigation. In this paper, mercury content in the output gas from boilers was predicted using an Adaptive Neuro-Fuzzy Inference System (ANFIS) integrated with particle swarm optimization (PSO). Input parameters were selected from coal characteristics and the operational configuration of boilers. The proposed ANFIS-PSO model is capable of developing a nonlinear model to represent the dependency of flue gas mercury content into the specifications of coal and also the boiler type. In this study, operational information from 82 power plants has been gathered and employed to educate and examine the proposed model. To evaluate the performance of the proposed model the statistical meter of MARE% was implemented, which resulted 0.003266 and 0.013272 for training and testing respectively. Furthermore, relative errors between acquired data and predicted values were between -0.25% and 0.1%, which confirm the accuracy of PSO-ANFIS model.

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Application of powdered activated carbon coating to fabrics in a hybrid filter to enhance mercury removal

Cited by 23 publications

References 39 publications

NH₄Br-Modified Biomass Char for Mercury Removal in a Simulated Oxy-fuel Atmosphere: Mechanism Analysis by X-ray Photoelectron Spectroscopy

NH₄Br-Modified Biomass Char for Mercury Removal in a Simulated Oxy-fuel Atmosphere: Mechanism Analysis by X-ray Photoelectron Spectroscopy

Developing an ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases

Developing an ANFIS-PSO Based Model to Estimate Mercury Emission in Combustion Flue Gases

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Application of powdered activated carbon coating to fabrics in a hybrid filter to enhance mercury removal

Cited by 23 publications

References 39 publications

NH4Br-Modified Biomass Char for Mercury Removal in a Simulated Oxy-fuel Atmosphere: Mechanism Analysis by X-ray Photoelectron Spectroscopy

NH4Br-Modified Biomass Char for Mercury Removal in a Simulated Oxy-fuel Atmosphere: Mechanism Analysis by X-ray Photoelectron Spectroscopy

Developing an ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases

Developing an ANFIS-PSO Based Model to Estimate Mercury Emission in Combustion Flue Gases

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NH₄Br-Modified Biomass Char for Mercury Removal in a Simulated Oxy-fuel Atmosphere: Mechanism Analysis by X-ray Photoelectron Spectroscopy

NH₄Br-Modified Biomass Char for Mercury Removal in a Simulated Oxy-fuel Atmosphere: Mechanism Analysis by X-ray Photoelectron Spectroscopy