The performance of nickel-loaded lignite residue for steam reforming of toluene as the model compound of biomass gasification tar

Xiao, Xianbin; Liu, Ji; Gao, Anni; Zhouyu, Mengqiu; Liu, Binghan; Gao, Manda; Zhang, Xiaolei; Lü, Qiang; Chen, Dong

doi:10.1016/j.joei.2017.10.002

Cited by 25 publications

(11 citation statements)

References 77 publications

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“…On account of the fact that the WGS reaction (Equation ) is an exothermic reaction, the increase of temperature promotes the reaction to the direction of CO production, thus resulting in the reduction of the concentration of CO 2 and H 2 . The same results are obtained from Xiao et al, who evaluated toluene steam reforming on nickel‐loaded lignite residue catalysts, and observed that H 2 concentration and carbon conversion were enhanced with the temperature from 850 to 900 K, while the temperature rose to 950 K the conversion and H 2 concentration decreased.…”

Section: Resultssupporting

confidence: 83%

Development of activated biochar supported Ni catalyst for enhancing toluene steam reforming

2020

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Catalytic steam reforming of tar is considered to be an attractive pathway for tar removal and H 2 production in the modern world. In this study, activation of biochar (B) from pine wood pyrolysis was performed to boost its specific surface area and pore structure. The activated biochar (AB) was used as a catalyst support with the aim to enhance the catalytic activity. The catalytic reforming performance of toluene over Ni/AB catalyst was investigated, and the catalytic behavior of Ni/AB catalysts was compared with Ni/Al 2 O 3 and Ni/B. The effect of potassium hydroxide (KOH) to biochar ratio, Ni loading, reforming temperature, weight hourly space velocity and steam to carbon ratio(S/C) on the performance of Ni/AB catalysts were studied. The results showed that Ni/AB catalysts exhibited a superior catalytic activity for carbon conversion and H 2 production to Ni/B and Ni/Al 2 O 3 catalysts. In addition, high carbon conversion (86.2%) and H 2 production (64.3%) can be achieved with Ni/AB catalyst under the optimal operating conditions. Furthermore, in order to improve the stability of the Ni/AB catalyst, Ce was introduced to Ni/AB catalyst. According to stability tests, the H 2 concentration of Ni-Ce/AB catalysts was still higher than 2.24 mmol/min even after 20 hours reaction.

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Section: Resultssupporting

confidence: 83%

Development of activated biochar supported Ni catalyst for enhancing toluene steam reforming

2020

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“…On the other hand, the toluene conversation was decreased then the major process was the gasification of catalyst instead of the reforming of toluene. 46 Therefore, the rise in the gas yield also can be arisen from the consumption of AC in Equations (5) and (6).…”

Section: Co + H 2 O = Co 2 + H 2 : ð4þmentioning

confidence: 99%

Catalytic co‐pyrolysis of packaging plastic and wood waste to achieve H ₂ rich syngas

et al. 2020

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In this work, the co-pyrolysis of pine sawdust and low-density polyethylene (LDPE) was performed in a two-stage fixed-bed reactor to achieve hydrogenrich syngas and to investigate the effect of the parameters on gas yield and composition. Gas chromatography was used to confirm the content of the gas products. The pyrolysis was supported with Ni (in 5-25 wt%) loaded on activated carbon (AC). The maximum hydrogen concentration was 392.8 mmol g −1 sample, which was achieved by the use of the 10% Ni-AC catalyst. The influence of Ni loading on supporter was investigated by scanning electron microscope and transmission electron microscope techniques besides the thermogravity analysis. The increasing size of the Ni particles can be observed as a function of the Ni concentration on the catalyst. Carbon deposition was detected and the amorphous carbon seems more dominant than filamentous form. In addition, the effect of fluid residence time (water inlet and purge gas) on syngas yield was studied. Three different fluid residence times were investigated, and among them, the highest hydrogen yield was 392.8 mmol g −1 sample at 1.57 minutes residence time. Furthermore, the catalyst lifetime was studied using 10 wt% of Ni containing AC, and the average hydrogen concentration was 196.0 mmol g −1 sample over 15 cycles.

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“…As shown in Figure 1, uncontrollable energy loss is caused by external factors that are difficult to improve, such as coal quality and ambient temperature. Currently, as a result of coal diversity, many power plants choose to conduct coal blending [16] and raw coal separation processes [17] before burning, to reduce the energy loss caused by changes in coal quality. Controllable energy loss can be divided into operational loss and maintenance loss.…”

Section: Analysis Of Energy Loss Of Thermal Generatorsmentioning

confidence: 99%

Big-Data-Mining-Based Improved K-Means Algorithm for Energy Use Analysis of Coal-Fired Power Plant Units: A Case Study

Liu

Wang

et al. 2018

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The energy use analysis of coal-fired power plant units is of significance for energy conservation and consumption reduction. One of the most serious problems attributed to Chinese coal-fired power plants is coal waste. Several units in one plant may experience a practical rated output situation at the same time, which may increase the coal consumption of the power plant. Here, we propose a new hybrid methodology for plant-level load optimization to minimize coal consumption for coal-fired power plants. The proposed methodology includes two parts. One part determines the reference value of the controllable operating parameters of net coal consumption under typical load conditions, based on an improved K-means algorithm and the Hadoop platform. The other part utilizes a support vector machine to determine the sensitivity coefficients of various operating parameters for the net coal consumption under different load conditions. Additionally, the fuzzy rough set attribute reduction method was employed to obtain the minimalist properties reduction method parameters to reduce the complexity of the dataset. This work is based on continuously-measured information system data from a 600 MW coal-fired power plant in China. The results show that the proposed strategy achieves high energy conservation performance. Taking the 600 MW load optimization value as an example, the optimized power supply coal consumption is 307.95 g/(kW·h) compared to the actual operating value of 313.45 g/(kW·h). It is important for coal-fired power plants to reduce their coal consumption.

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The performance of nickel-loaded lignite residue for steam reforming of toluene as the model compound of biomass gasification tar

Abstract: , C. (2017). The performance of nickel-loaded lignite residue for steam reforming of toluene as the model compound of biomass gasification tar.

Cited by 25 publications

References 77 publications

Development of activated biochar supported Ni catalyst for enhancing toluene steam reforming

Development of activated biochar supported Ni catalyst for enhancing toluene steam reforming

Catalytic co‐pyrolysis of packaging plastic and wood waste to achieve H ₂ rich syngas

Big-Data-Mining-Based Improved K-Means Algorithm for Energy Use Analysis of Coal-Fired Power Plant Units: A Case Study

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The performance of nickel-loaded lignite residue for steam reforming of toluene as the model compound of biomass gasification tar

Abstract: , C. (2017). The performance of nickel-loaded lignite residue for steam reforming of toluene as the model compound of biomass gasification tar.

Cited by 25 publications

References 77 publications

Development of activated biochar supported Ni catalyst for enhancing toluene steam reforming

Development of activated biochar supported Ni catalyst for enhancing toluene steam reforming

Catalytic co‐pyrolysis of packaging plastic and wood waste to achieve H 2 rich syngas

Big-Data-Mining-Based Improved K-Means Algorithm for Energy Use Analysis of Coal-Fired Power Plant Units: A Case Study

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Catalytic co‐pyrolysis of packaging plastic and wood waste to achieve H ₂ rich syngas