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  1. Article: Production forecast analysis of BP neural network based on Yimin lignite supercritical water gasification experiment results

    Zhang, Bowei / Guo, Simao / Jin, Hui

    Energy. 2022 May 01, v. 246

    2022  

    Abstract: In the future coal gasification industry, quick and accurate prediction of the gas products can guide industrial production and make production more efficient. This paper carried out the SCWG experiment of Yimin lignite and discussed the effects of ... ...

    Abstract In the future coal gasification industry, quick and accurate prediction of the gas products can guide industrial production and make production more efficient. This paper carried out the SCWG experiment of Yimin lignite and discussed the effects of temperature, concentration and residence time on gasification. After that, the experimental data were divided into a training set, validation set, and test set according to a ratio of 70%, 15%, and 15%. Then, the regression was performed in the BP neural network, and the number of hidden layers, linear fitting model, and MIV were discussed. The results show that the single-layer neural network has a better fitting effect than the two-layer neural network. The R² of the ANN model for the products is 0.9921, the RMSE is 0.2952, the MeanRE is 0.0673, and the MaxRE is 0.1957, which is far better than the linear regression. In addition, the mean impact value of temperature, residence time, and concentration is 0.7493, 0.2188, and −0.1051, which shows temperature is the most critical variable.
    Keywords coal gasification ; energy ; industry ; lignite ; neural networks ; prediction ; regression analysis ; temperature
    Language English
    Dates of publication 2022-0501
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2022.123306
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: A dispersed rutile-TiO2-supported Ni nanoparticle for enhanced gas production from catalytic hydrothermal gasification of glucose

    Li, Sha / Guo, Liejin / Guo, Simao / Zhu, Chao

    RSC advances. 2015 Sept. 25, v. 5, no. 100

    2015  

    Abstract: Hydrothermal gasification (HTG) is a promising technique for the utilization of wet biomass or organic wastes. This study reports a highly dispersed rutile-TiO2-supported Ni nanoparticle synthesized by a sol–gel method and its catalytic performance for ... ...

    Abstract Hydrothermal gasification (HTG) is a promising technique for the utilization of wet biomass or organic wastes. This study reports a highly dispersed rutile-TiO2-supported Ni nanoparticle synthesized by a sol–gel method and its catalytic performance for gas production (H2 and CH4) from HTG of glucose as a model compound of biomass. NiTiO3 formation of the gel precursor during the calcination process demonstrated the enhanced interaction of Ni and TiO2, and highly dispersive nickel crystallites were obtained after the reduction activation. Increase of the calcination temperature decreased the catalytic activity due to the sintering of nickel crystals. The supported Ni nanoparticle greatly promoted the carbon gasification efficiency of HTG of 10 wt% glucose (glucose : Ni = 1 : 0.11) from 27.1% to 68.7% at 400 °C and from 48.2% to 96.4% at 600 °C in supercritical water. A highly active temperature region (400–500 °C) of nickel catalyzed methanation reaction for CH4 formation was particularly confirmed. As the gasification was prolonged in supercritical water, the rutile-TiO2-supported Ni nanoparticle showed stable crystalline structures and part of the deposited carbon was gasified. The regenerated catalysts also showed significant activities.
    Keywords biomass ; carbon ; catalysts ; catalytic activity ; crystal structure ; crystallites ; gasification ; gels ; glucose ; hydrogen ; methane ; methane production ; models ; nanoparticles ; nickel ; organic wastes ; sol-gel processing ; temperature ; titanium dioxide
    Language English
    Dates of publication 2015-0925
    Size p. 81905-81914.
    Publishing place The Royal Society of Chemistry
    Document type Article
    ISSN 2046-2069
    DOI 10.1039/c5ra12025j
    Database NAL-Catalogue (AGRICOLA)

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  3. Article: Comprehensive performance prediction and power promotion for wearable thermoelectric generator with flexible encapsulation in practical application

    Liu, Youhong / Shi, Yaoguang / Li, Jing / Guo, Xiaofeng / Wang, Yancheng / Xiang, Qingpei / Guo, Simao / Ze, Rende / Zeng, Jun / Xiang, Yongchun / Hao, Fanhua

    Energy conversion and management. 2020 Sept. 15, v. 220

    2020  

    Abstract: With ability of converting the heat harvested from human body into electricity, the wearable thermoelectric generators (WTEGs) are attracting lots of interests for self-powered electronic devices. However, the output power density of the WTEG is limited ... ...

    Abstract With ability of converting the heat harvested from human body into electricity, the wearable thermoelectric generators (WTEGs) are attracting lots of interests for self-powered electronic devices. However, the output power density of the WTEG is limited for supplying the electronic devices. Therefore, the performance enhancement by optimal design of the developed WTEGs is needed. In this paper, a method of comprehensive modeling of a WTEG is proposed by considering all essential components and realistic boundary conditions. By solving the model with finite element modeling (FEM) method, the calculation performances agree well with experimental results at various temperature difference and load resistance. Through the temperature and voltage distribution of the WTEG obtained, the effects of side heat loss and heat conduction of the encapsulation are revealed. Besides, the impact of the thermal conductivity of encapsulation and the geometric dimensions of thermoelectric legs on the output performance are explored. Finally, the performance prediction results indicate that at the temperature difference of 15 K, the output power of the WTEG with optimized design can be improved about 598.1% with matched loading resistance compared to the device with original design.
    Keywords administrative management ; density ; design ; dimensions ; electric potential difference ; electricity ; electronic equipment ; encapsulation ; energy conversion ; finite element analysis ; geometry ; heat transfer ; humans ; models ; paper ; prediction ; temperature ; thermal conductivity ; thermoelectric generators
    Language English
    Dates of publication 2020-0915
    Publishing place Elsevier Ltd
    Document type Article
    Note NAL-light
    ZDB-ID 2000891-0
    ISSN 0196-8904
    ISSN 0196-8904
    DOI 10.1016/j.enconman.2020.113080
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Hydrogen Production by Catalytic Gasification of Coal in Supercritical Water

    Lan, Rihua / Ge Zhiwei / Guo Liejin / Guo Simao / Jin Hui / Zhang Ximin

    Energy & Fuels. 2014 Nov. 20, v. 28, no. 11

    2014  

    Abstract: A high-throughput batch reactor system was designed for hydrogen production by catalytic gasification of bituminous coal in supercritical water. The experimental system was made up of six subsystems with the same parameters, which was designed with a ... ...

    Abstract A high-throughput batch reactor system was designed for hydrogen production by catalytic gasification of bituminous coal in supercritical water. The experimental system was made up of six subsystems with the same parameters, which was designed with a maximum temperature and pressure of 750 °C and 30 MPa, respectively. The system ensures that a maximum of six series experiments are conducted at the same time, which promotes the efficiency of the experimental work. In this study, the experiments were conducted under different operational conditions: temperature of 600–750 °C, pressure of 23–25 MPa, feed concentration of 5–20 wt %, reaction time of 4–15 min, and K₂CO₃ addition rate of 0–200 wt %. The effects of operational conditions were examined. The results obtained show that the carbon gasification efficiency (CE) and gasification efficiency (GE) increased with decreasing feed concentration and increasing temperature, reaction time, and K₂CO₃ addition rate. The addition of K₂CO₃ promoted the gasification reactivity significantly. CE and GE in the catalytic case were about 1.7 and 2 times that in the non-catalytic case, respectively. Kinetic information on catalytic gasification of coal in supercritical water was experimentally investigated. The activation energy and pre-exponential factor obtained were 59.47 ± 4.87 kJ/mol and 43.89 ± 1.82 min–¹, respectively.
    Keywords activation energy ; carbon ; coal ; gasification ; hydrogen production ; potassium carbonate ; temperature
    Language English
    Dates of publication 2014-1120
    Size p. 6911-6917.
    Publishing place American Chemical Society
    Document type Article
    ZDB-ID 1483539-3
    ISSN 1520-5029 ; 0887-0624
    ISSN (online) 1520-5029
    ISSN 0887-0624
    DOI 10.1021%2Fef502050p
    Database NAL-Catalogue (AGRICOLA)

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