Application progress of chemical percolation devolatilization model in thermochemical conversion of carbon-based solid raw materials
GUO Wei;YANG Panxi;YU Zunyi;GAO Kun;WANG Jing;ZHANG Jie;DANG Minhui;YANG Bolun;WU Zhiqiang;
Abstract:
The Chemicalpercolation devolatilization(CPD) model is used to simulate the devolatilization of coal under the condition of rapid heating, which can predict the real-time yield of tar, semi-coke and light gas. The model is based on a lattice model to construct the chemical structure of coal, and the structural parameters of coal are calculated by solid ~(13)C-NMR experiment. It has the characteristics of the wide applicability of coal types and a few input parameters, and has attracted the wide attention of researchers in the field of engineering thermochemistry. Firstly, the development history of the CPD model, the assumption of raw material structure and pyrolysis reaction path, and the calculation of structural and kinetic parameters were introduced. The application progress of the CPD model in the thermochemical conversion of carbon-based solid materials such as coal, oil shale, and biomass was summarized. To improve the accuracy and applicability of the CPD model in the field of coal thermochemical conversion, Chinese scholars have established a more accurate calculation method of lattice parameters according to the structural analysis of of Chinese coal species. By improving the pyrolysis reaction path and correcting the kinetic parameters in the CPD model, the model is closer to the real pyrolysis process. By correcting the temperature gradient distribution in coal particles makes the simulation results closer to the actual working condition. In terms of thermal conversion of oil shale, a CPD model of thermal conversion of oil shale was established based on the chemical structure characteristics and pyrolysis kinetic parameters of oil shale. The CPD model of biomass was established based on the analysis of biomass structure and reaction characteristics, and the applicability of the model was expanded by improving the chemical structure, pyrolysis reaction path, and kinetic parameters. Although the CPD model has been widely used, the fitting parameters obtained from coal elemental analysis and industrial analysis are narrow in the range of coal types, and the accuracy needs to be improved. Therefore, a more accurate structural model of carbon-based solid raw materials can be built through means of chemical structure characterization. The CPD model greatly simplifies the reaction process of coal and needs to be modified according to the actual pyrolysis reaction path of coal, including considering the secondary reaction, the coupling between tars, and the change of free radicals in the reaction. The existing CPD model does not consider the stress of coal in the underground thermal conversion process, so it needs to be improved from the high-pressure reaction conditions to improve the applicability of the model.
Key Words: CPD model;pyrolysis of coal;oil shale;biomass;engineering thermochemistry
Foundation: 陕西省自然科学基础研究计划-陕煤联合基金资助项目(2021JLM-17);; 陕西省秦创原“科学家+工程师”队伍建设资助项目(2022KXJ-126)
Authors: GUO Wei;YANG Panxi;YU Zunyi;GAO Kun;WANG Jing;ZHANG Jie;DANG Minhui;YANG Bolun;WU Zhiqiang;
DOI: 10.13226/j.issn.1006-6772.RM22112701
References:
- [1] ADAM S,S?AWOMIR W,NATALIA H.Gasification of lignite from polish coal mine to hydrogen-rich gas[J].International Journal of Coal Science & Technology,2022,9(1):77.
- [2] LI Q S.The view of technological innovation in coal industry under the vision of carbon neutralization[J].International Journal of Coal Science & Technology,2021,8(6):1197-1207.
- [3] PENG S P.Current status of national integrated gasification fuel cell projects in China[J].International Journal of Coal Science & Technology,2021,8(3):327-334.
- [4] 谢和平,任世华,谢亚辰,等.碳中和目标下煤炭行业发展机遇[J].煤炭学报,2021,46(7):2197-2211.XIE Heping,REN Shihua,XIE Yachen,et al.Development opportunities of the coal industry towards the goal of carbon neutrality[J].Journal of China Coal Society,2021,46(7):2197-2211.
- [5] 刘萍,杨卫华,张建,等.碳中和目标下的减排技术研究进展[J].现代化工,2021,41(6):6-10.LIU Ping,YANG Weihua,ZHANG Jian,et al.Prospects for emission reduction technologies under carbon neutral targets[J].Modern Chemical Industry,2021,41(6):6-10.
- [6] PANKAJ K M,MONDAL S,KUMAR V,et al.Roadmap to sustainable carbon-neutral energy and environment:Can we cross the barrier of biomass productivity?[J].Environmental Science and Pollution Research,2021,28:49327-49342.
- [7] 赵改善.碳中和愿景下石油工业和地球物理行业的生存与突围之道[J].石油物探,2021,60(6):867-878.ZHAO Gaishan.Survival and development of the petroleum and geophysical industries in the framework of carbon neutralization[J].Geophysical Prospecting for Petroleum,2021,60(6):867-878.
- [8] 米治平,王宁波.煤炭低温干馏技术现状及发展趋势[J].洁净煤技术,2010,16(2):33-37.MI Zhiping,WANG Ningbo.The present situation and developing trend of low temperature coal carbonization technology[J].Clean Coal Technology,2010,16(2):33-37.
- [9] DAULET Z,LYAZZAT K,YERBOL S,et al.Flue gas analysis for biomass and coal co-firing in fluidized bed:Process simulation and validation[J].International Journal of Coal Science & Technology,2022,9(1):59.
- [10] BEMGBA B N,ALIYU J,SEGUN A A,et al.Physicochemical,mineralogy,and thermo-kinetic characterisation of newly discovered Nigerian coals under pyrolysis and combustion conditions [J].International Journal of Coal Science & Technology,2021,8(4):697-716.
- [11] YUAN Z.Composition of phenolic compounds in wastewater from the fixed-bed gasification of Baishihu coal[J].International Journal of Coal Science & Technology,2021,8(6):1461-1467.
- [12] 王国法,任世华,庞义辉,等.煤炭工业“十三五”发展成效与“双碳”目标实施路径[J].煤炭科学技术,2021,49(9):1-8.WANG Guofa,REN Shihua,PANG Yihui,et al.Development achievements of China′s coal industry during the 13th Five-Year Plan period and implementation path of "dual carbon" target[J].Coal Science and Technology,2021,49(9) :1-8.
- [13] 周安宁,张怀青,李振,等.低阶烟煤煤岩显微组分分选及其分质利用研究进展[J].洁净煤技术,2022,28(7):1-22.ZHOU Anning,ZHANG Huaiqing,LI Zhen,et al.Advances in coal macerals separation and quality-based utilization of low-rank bituminous coal[J].Clean Coal Technology,2022,28(7):1-22.
- [14] 贾承造,郑民,张永峰.中国非常规油气资源与勘探开发前景[J].石油勘探与开发,2012,39(2):129-136.JIA Chenzao,ZHENG Min,ZHANG Yongfeng.Unconventional hydrocarbon resources in China and the prospect of exploration and development[J].Petroleum Exploration and Development,2012,39(2):129-136.
- [15] 邹才能,杨智,朱如凯,等.中国非常规油气勘探开发与理论技术进展[J].地质学报,2015,89(6):979-1007.ZOU Caineng,YANG Zhi,ZHU Rukai,et al.Unconventional oil and gas exploration and development and theoretical and technical progress in China[J].Acta Geologica Sinica,2015,89(6):979-1007.
- [16] 王坤,郭彬程,林世国,等.中国陆相页岩石油资源地位与发展机遇[J].能源与节能,2022(8):1-7.WANG Kun,GUO Bincheng,LIN Shiguo,et al.Status and development opportunities of continental shale oil resources in China[J].Energy and Energy Conservation,2022(8):1-7.
- [17] 杨庆春,周怀荣,杨思宇,等.油页岩开发利用技术及系统集成的研究进展[J].化工学报,2016,67(1):109-118.YANG Qingchun,ZHOU Huairong,YANG Siyu,et al.Research progress on utilization and systemic integration technologies of oil shale[J].CIESC Journal,2016,67(1):109-118.
- [18] ZHANG R J,ZHANG J,GUO W,et al.Effect of torrefaction pretreatment on biomass chemical looping gasification (BCLG) characteristics:Gaseous products distribution and kinetic analysis[J].Energy Conversion and Management,2021,237:114100.
- [19] KEBOLETSE K P,NTULI F,OLADIJO O P.Influence of coal properties on coal conversion processes-coal carbonization,ca-rbon fiber production,gasification and liquefaction technologies:A review[J].International Journal of Coal Science & Technology,2021,8(5):817-843.
- [20] SOLOMON P R,HAMBLEN D G,R.CARANGELO M,et al.General model of coal devolatilization[J].Energy & Fuels,1988(2):405-422.
- [21] STEPHEN N,ALAN R K.FLASHCHAIN theory for rapid coal devolatilization kinetics.1:Formulation[J].Energy & Fuels,1991,5(5):647-665.
- [22] STEPHEN N.FLASHCHAIN theory for rapid coal devolatilization kinetics.2.Impact of operating conditions[J].Energy & Fuels,1991,5(5):665-673.
- [23] STEPHEN N.FLASHCHAIN theory for rapid coal devolatilization kinetics.3:Modeling the behavior of various coals[J].Energy & Fuels,1991,5(5):673-683.
- [24] STEPHEN N.FLASHCHAIN theory for rapid coal devolatilization kinetics.4:Predicting ultimate yields from ultimate analyses alone[J].Energy & Fuels,1994,8(3):659-670.
- [25] DAVID M G,RONALD J P,THOMAS H Fletcher,et al.Chemical model of coal devolatilization using percolation lattice statistics[J].Energy & Fuels,1989,3(2):175-186.
- [26] THOMAS H F,ALAN R K.Chemical percolation model for devolatilization.3.Direct use of13C-NMR data to predict effects of coal type[J].Energy & Fuels,1992(6):414-431.
- [27] PIELSTICKER S,ONTYD C,KREITZBERG T,et al.Adaptati-on of the chemical percolation devolatilization model for low temperature pyrolysis in a fluidized bed reactor[J].Combustion Science and Technology,2022,194(2):417-434.
- [28] 郭啸晋.煤热解过程中挥发物反应的共价键断裂—生成模型研究[D].北京:北京化工大学,2015.
- [29] THOMAS H Fletcher,RONALD J Pugmire.Chemical percolation model for coal devolatilization[EB/OL].(1992-01-05)[2022-11-25].https://www.et.byu.edu/~tom/cpd/cpdcodes.html.
- [30] KIM R G,LEE B H,JEON,C H,et al.An experimental and numerical study on the characteristics of devolatilization process for coals utilized in Korea using CPD model[J].Transactions of the Korean Society of Mechanical Engineers B,2009,33(8):613-621.
- [31] CARLOS A G V,JO?O A C J,MARCO A F.The chemical percolation devolatilization model applied to the devolatilization of coal in high intensity acoustic fields[J].Journal of the Brazilian Chemical Society,2002,13(3):10.
- [32] GUAN Q L,BI D P,XUAN W W,et al.Kinetic model of hydropyrolysis based on the CPD model[J].Fuel,2015,152:74-79.
- [33] 白佳杰.低阶煤催化解聚过程模拟研究[D].太原:太原理工大学,2019.
- [34] 杨英杰,杨赫,朱家龙,等.淖毛湖煤慢速热解过程官能团相互作用[J].化工学报,2022,73(2):865-875.YANG Yingjie,YANG He,ZHU Jialong,et al.Interaction between functional groups during slow pyrolysis of Naomaohu coal[J].CIESC Journal,2022,73(2):865-875.
- [35] LIU G R,SONG H J,WU J H.Prediction of low-rank coal pyrolysis behavior by chemical percolation devolatilization model[J].Environmental Progress & Sustainable Energy,2016,35(4):1215-1220.
- [36] PRABAL B,ATUL K V,SUDIP M.Nitration of Jharia basin coals,India:A study of structural modifications by XRD and FTIR techniques[J].International Journal of Coal Science & Technology,2021,8(5):1034-1053.
- [37] WU Z Q,LI Y W,ZHANG B,et al.Co-pyrolysis behavior of microalgae biomass and low-rank coal:Kinetic analysis of the main volatile products[J].Bioresource Technology,2019,271:202-209.
- [38] MARK S S,RONALD J P,DAVID M G.Carbon-13 solid-state NMR of Argonne-premium coals[J].Energy & Fuels,1989,3:187-193.
- [39] 李二虎.基于核磁共振和分子模拟方法的柳林3#煤抽提物结构研究[J].煤炭技术,2018,37(8):295-297.LI Erhu.Research on structure of extracts from Liulin No.3 coals based on nuclear magnetic resonance and molecular simulation[J].Coal Technology,2018,37(8):295-297.
- [40] 相建华,曾凡桂,梁虎珍,等.兖州煤大分子结构模型构建及其分子模拟[J].燃料化学学报,2011,39(7):481-488.XIANG Jianhua,ZENG Fangui,LIANG Huzhen,et al.Construction of Yanzhou coal macromolecular structure model and its molecular simulation[J].Fuel Chemistry Newspaper,2011,39 (7):481-488.
- [41] YANG H,XIONG Y K,XIE Z W,et al.Quantitative characterization of coal structure by high-resolution CP/MAS13C solid-state NMR spectroscopy[J].Proceedings of the Combustion Institute,2021,38(3):4161-4170.
- [42] WEN J L,SUN S L,YUAN T Q,et al.Understanding the chemical and structural transformations of lignin macromolecule during torrefaction[J].Applied Energy,2014,121:1-9.
- [43] 钱琳,孙绍增,王东,等.两种褐煤的~13C-NMR特征及CPD高温快速热解模拟研究[J].煤炭学报,2013,38(3):455-460.QIAN Lin,SUN Shaozeng,WANG Dong,et al.The13C-NMR measurements of two types of lignite and the CPD simulation of lignite rapid pyrolysis at high temperature[J].Journal of China Coal Society,2013,38(3):455-460.
- [44] THOMAS H F,ALAN R K,RONALD J P,et al.A chemical percolation model for devolatilization:Summary[J].Brigham Young University,1992:66.
- [45] SHI L,LIU Q Y,GUO X J,et al.Pyrolysis behavior and bonding information of coal:A tga study[J].Fuel Processing Technology,2013,108:125-132.
- [46] DOMINIC G,THOMAS H F,RONALD J P.Development and application of a correlation of 13C-NMR chemical structural analyses of coal based on elemental composition and volatile matter content[J].Energy & Fuels,1999,13(1):60-68.
- [47] 解丹.煤粉热解产物预测及特性研究[D].鞍山:辽宁科技大学,2020.
- [48] LYU T,FANG M X,LI H X,et al.Pyrolysis of a typical low-rank coal:Application and modification of the chemical percolation devolatilization model[J].RSC Advances,2021,11(29):17993-18002.
- [49] SALMASI A,SHAMS M,CHERNORAY V.Simulation of sub-bituminous coal hydrodynamics and thermochemical conversion during devolatilization process in a fluidized bed[J].Applied Thermal Engineering,2018,135:325-333.
- [50] 袁梦帆.煤粉和热解半焦颗粒携带流中着火特性数值模拟研究[D].哈尔滨:哈尔滨工业大学,2020.
- [51] 杨亚慧.淖毛湖煤慢速热解过程化学渗透热解模型研究[D].大连:大连理工大学,2021.
- [52] ABYANSH R,HEENA D,SREEDEVI U,et al.Insights from principal component analysis applied to Py-GCMS study of Indian coals and their solvent extracted clean coal products[J].International Journal of Coal Science & Technology,2021,8(6):1504-1514.
- [53] TIAN Y J,XIE K C,ZHU S Y,et al.Simulation of coal pyrolysis in plasma jet by CPD model[J].Energy & Fuels,2001,15(6):1354-1358.
- [54] 钱琳.基于分子结构的褐煤挥发分释放及氮转化模型的研究[D].哈尔滨:哈尔滨工业大学,2013.
- [55] 李超.烟煤流化床热解机理以及挥发产物组分分布特性研究[D].杭州:浙江大学,2016.
- [56] ROMAIN L,DELPHINE M,PATRICE S.Study of the high heating rate devolatilization of bituminous and subbituminous coals-comparison of experimentally monitored devolatilization profiles with predictions issued from single rate,two-competing rate,distributed activation energy and chemical percolation devolatilization models[J].Journal of Analytical and Applied Pyrolysis,2017,123:255-268.
- [57] KATSUHIKO Y,HIROAKI W.Application of 13C-NMR coal structure analysis for the formation of volatile from high-volatile coals under high-temperature pressurized gasifier conditions[J].Journal of the Japan Institute of Energy,2021,100(9):177-185.
- [58] 周博斐,张廷尧,周月桂.低氧稀释下煤粉燃烧反应区结构实验与模拟研究[J].工程热物理学报,2022,43(8):2051-2057.ZHOU Bofei,ZHANG Tingyao,ZHOU Yuegui.Experimental and simulation investigation on the structure of combustion reaction region of pulverized coal particles under low-oxygen dilution conditions[J].Journal of Engineering Thermophysics,2022,43(8):2051-2057.
- [59] 张廷尧,胡中发,周月桂.单颗粒煤粉着火特性的数值分析[J].燃烧科学与技术,2022,28(1):36-41.ZHANG Tingyao,HU Zhongfa,ZHOU Yuegui.Numerical analysis of the ignition characteristics of single coal particle[J].Journal of Combustion Science and Technology,2022,28(1):36-41.
- [60] 禹红英,郭军军,李鹏飞,等.基于CPD模型的煤粉颗粒着火特性的数值模拟[J].工程热物理学报,2019,40(6):1439-1445.YU Hongying,GUO Junjun,LI Pengfei,et al.Numerical simulation of ignition delay of pulverized coal particles based on CPD models [J].Journal of Engineering Thermophysics,2019,40(6):1439-1445.
- [61] 柯希玮,陈陆剑,张缦,等.制焦条件对煤焦燃烧反应性的影响[J].煤炭学报,2020,45(2):793-801.KE Xiwei,CHEN Lujian,ZHANG Man,et al.Influence of coal pyrolysis conditions on its char combustion reactivity[J].Journal of China Coal Society,2020,45(2):793-801.
- [62] 王庆,冯杰,李文英,等.煤中氮在热解过程中释放规律的数学模拟[J].煤炭转化,2003(4):31-36.WANG Qing,FENG Jie,LI Wenying,et al.Mathematic simulation of nitrogen release rule during coal pyrolysis[J].Coal Conversion,2003(4):31-36.
- [63] 王庆.煤中氮在热解过程中释放规律的数学模拟[D].太原:太原理工大学,2004.
- [64] 庞振洲,李广伟,谢志文,等.运用CPD模型研究高灰低挥发分煤的热解特性[J].煤炭技术,2018,37(1):307-309.PANG Zhenzhou,LI Guangwei,XIE Zhiwen,et al.Study on pyrolysis characteristics of high ash and low volatile coal by CPD model[J].Coal Technology,2018,37(1):307-309.
- [65] 王超.低阶煤低温热解提质特性实验研究[D].唐山:华北理工大学,2016.
- [66] 张尚军.煤炭地下气化过程受热煤体的渗透特性及热解析气模型[D].北京:中国矿业大学(北京),2020.
- [67] 石尚杰,康润宁,魏立勇,等.基于CPD模型的蔚州长焰煤热解特性研究[J].煤炭技术,2017,36(7):263-265.SHI Shangjie,KANG Running,WEI Liyong,et al.Yuzhou long flame coal pyrolysis characteristics study based on CPD model[J].Coal Technology,2017,36(7):263-265.
- [68] 刘文涛.基于动态模拟的焦化过程污染迁移转化分析研究[D].北京:中国科学院大学(中国科学院过程工程研究所),2018.
- [69] CHENG Y,LI T Y,AN H,et al.Modeling pyrolysis of asphalt using chemical percolation devolatilization theory[J].Fuel,2017,206:364-370.
- [70] SATOSHI U,SHIRO K,KOUICHI M,et al.Extension of thechemical percolation devolatilization model for predicting formation of tar compounds as soot precursor in coal gasification[J].Fuel Processing Technology,2017,159:256-265.
- [71] MA J,LIU J,JIANG X,et al.Improved CPD model coupled with lattice vacancy evolution[J].Combustion and Flame,2022,241:112076.
- [72] 陈登高,张志,李振山,等.基于CPD模型数据的煤粉单步热解模型[J].燃烧科学与技术,2016,22(5):413-418.CHEN Denggao,ZHANG Zhi,LI Zhenshan,et al.One step model of coal pyrolysis based on CPD model data[J].Journal of Combustion Science and Technology,2016,22 (5):413-418.
- [73] 徐静颖.典型煤种热解与燃烧过程挥发性有机物生成与排放特性[D].北京:清华大学,2019.
- [74] XU J Y,ZHUO J K,YAO Q.Prediction of ethylene and propylene release during coal pyrolysis with modified CPD model[J].Fuel,2018,222:544-549.
- [75] 白佳杰,梁丽彤,张忠林,等.基于CPD模型的低阶煤催化解聚过程模拟分析[J].化工学报,2019,70(S2):265-274.BAI Jiajie,LIANG Litong,ZHANG Zhonglin,et al.Simulation and analysis of catalytic depolymerization of low-rank coal by chemical percolation devolatilization model[J].CIESC Journal,2019,70(S2):265-274.
- [76] MIODRAG Z,MARTA T,NEBOJSA M,et al.Modeling devolatilization process of Serbian lignites using chemical percolation devolatilization model[J].Thermal Science,2019,23(5):1543-1557.
- [77] YAN B H,CHENG Y,XU P C,et al.Generalized model of heat transfer and volatiles evolution inside particles for coal devolatilization[J].AIChE Journal,2014,60(8):2893-2906.
- [78] 万凯迪.煤粉热解、燃烧及碱金属释放与反应特性的大涡模拟[D].杭州:浙江大学,2016.
- [79] WAN K D,WANG Z H,HE Y,et al.Experimental and modeling study of pyrolysis of coal,biomass and blended coal-biomass particles[J].Fuel,2015,139:356-364.
- [80] WANG D,FLETCHER T H,MOHANTY S,et al.Modified CPD model for coal devolatilization at underground coal thermal treatment conditions[J].Energy & Fuels,2019,33(4):2981-2993.
- [81] LUO K,XING J K,BAI Y,et al.Prediction of product distributions in coal devolatilization by an artificial neural network model[J].Combustion and Flame,2018,193:283-294.
- [82] XING J K,LUO K,HEINZ P,et al.Predicting kinetic parameters for coal devolatilization by means of artificial neural networks[J].Proceedings of the Combustion Institute,2019,37(3):2943-2950.
- [83] KIDENA K,MURATA S,NOMURA M.Studies on the chemical structural change during carbonization process[J].Energy & Fuels,1996,10(3):672-678.
- [84] 陈丽诗,王岚岚,潘铁英,等.固体核磁碳结构参数的修正及其在煤结构分析中的应用[J].燃料化学学报,2017,45(10):1153-1163.CHEN Shili,WANG Lanlan,PAN Tieying.et al.Calibration of solid state NMR carbon structural parame te rs and application in coal structure analysis[J].Journal of Fuel Chemistry and Technology,2017,45(10):1153-1163.
- [85] 黄温钢,王作棠,夏元平,等.煤炭地下气化热-力耦合作用下条带开采数值模拟研究[J].煤炭科学技术,2022,50(8):16-23.HUANG Wengang,WANG Zuotang,XIA Yuanping,et al.Numerical simulation of strip mining under thermal-mechanical coupling of underground coal gasification[J].Coal Science and Technology,2022,50(8):16-23.
- [86] 吴志强,郭伟,张杰,等.用于煤炭地下原位热解的支撑剂、制备方法和填充方法:ZL202010992622.2[P].2021-12-28.
- [87] 吴志强,郭伟,张杰,等.一种地下煤炭原位热解的催化模块、制备方法和使用方法:ZL202010987908.1[P].2020-12-25.
- [88] 翟英媚,朱轶铭,杨天华.生物质与油页岩共热解研究进展[J].洁净煤技术,2022,28(6):72-81.ZHAI Yingmei,ZHU Yiming,YANG Tianhua.Research progress on co-pyrolysis of biomass and oil shale[J].Clean Coal Technology,2022,28(6):72-81.
- [89] YOU Y L,WANG X Y,HAN X X,et al.Kerogen pyrolysis model based on its chemical structure for predicting product evolution[J].Fuel,2019,246:149-159.
- [90] BIN C.Simulation analysis of co-pyrolysis of oil shale and wheat straw based on the combination of chain reaction kinetics and improved CPD models[J].Energy Conversion and Management,2021:11.
- [91] THOMAS H F,DANIEL B,RONALD J P.Modeling light gas and tar yields from pyrolysis of green river oil shale demineralized kerogen using the chemical percolation devolatilization model[J].Energy & Fuels,2015,29(8):4921-4926.
- [92] THOMAS H F,RYAN G,JACOB A,et al.Characterization of macromolecular structure elements from a green river oil shale,II.characterization of pyrolysis products by13C-NMR,GC/MS,and FTIR[J].Energy & Fuels,2014,28(5):2959-2970.
- [93] 王擎,王浩添,贾春霞,等.油页岩化学结构的化学渗透脱挥发分模型[J].中国电机工程学报,2014,34(20):3295-3301.WANG Qing,WANG Haotian,JIA Chunxia,et al.Chemical percolation for devolatilization model based on the oil shale chemical structure[J].Proceedings of the CSEE,2014,34(20):3295-3301.
- [94] 王擎,王平,柏静儒,等.油页岩化学结构CPD模型的改进[J].中国电机工程学报,2017,37(2):621-628.WANG Qing,WANG Ping,BAI Jingru,et al.Improvement of CPD model based on chemical structure of oil shale[J].Proceedings of the CSEE,2017,37(2):621-628.
- [95] 王擎,徐健,叶江滨,等.广东茂名油页岩三种热解动力学模型的分析对比[J].科学技术与工程,2017,17(32):112-118.WANGQing,XU Jian,YE Jiangbin,et al.Analysis and comparison of three pyrolysis kinetic models of Maoming oil shale in Guangdong province[J].Science Technology and Engineering,2017,17(32):112-118.
- [96] 尹国伟,姚振刚,张洋,等.北票油页岩化学渗透脱挥发分模型及氮元素析出预测[J].科技和产业,2022,22(3):382-388.YIN Guowei,YAO Zhengang,ZHANG Yang,et al.Chemical permeation devolatilization model of Beipiao oil shale and prediction of nitrogen precipitation[J].Science Technology and Industry,2022,22(3):382-388.
- [97] FLETCHER T H.Review of 30 years of research using the chemical percolation devolatilization model[J].Energy & Fuels,2019,33(12):12123-12153.
- [98] AARON D L,THOMAS H F.Prediction of sawdust pyrolysis yields from a flat-flame burner using the CPD model[J].Energy & Fuels,2013,27(2):942-953.
- [99] SHENG C D,AZEVEDO J L T.Modeling biomass devolatilizati-on using the chemical percolation devolatilization model for the main components[J].Proceedings of the Combustion Institute,2002,29(1):407-414.
- [100] VIZZINI G,BARDI A A,ENRICO B,et al.Prediction of rapid biomass devolatilization yields with an upgraded version of the bio-CPD model[C]//Proceedings of the Combustion Institute.Turin:Italian Section,2008.
- [101] SCOTT D S,PISKORZ J,BERGOUGNOU M A,et al.The role of temperature in the fast pyrolysis of cellulose and wood[J].Industrial & Engineering Chemistry Research,1988,27(1):8-15.
- [102] 李少华,贾欢,车德勇.生物质组分的~(13)C-NMR特征及CPD热解模拟探究[J].东北电力大学学报,2017,37(3):39-46.LI Shaohua,JIA Huan,CHE Deyong.13C-NMR characteristics of biomass components and simulation with CPD model[J].Journal of Northeast Electric Power University,2017,37(3):39-46.
- [103] JOSEP O P,YESICA E A,JUSTIN K W,et al.Co-primary thermolysis molecular modeling simulation of lignin and subbituminous coal via a reactive coarse-grained simplification[J].Journal of Analytical and Applied Pyrolysis,2012,95:101-111.
- [104] THOMAS H F,HARLAND R P,JAROM W,et al.Prediction of tar and light gas during pyrolysis of black liquor and biomass[J].Energy & Fuels,2012,26(6):3381-3387.
- [105] ZHANG J Y,ZHENG S J,CHEN C M,et al.Kinetic model study on biomass pyrolysis and CFD application by using pseudo-bio-CPD model[J].Fuel,2021,293:120266.
- [106] LADISLAV ?,RADOMíR C,JI■.Slow thermal decomposition of lignocelluloses compared to numerical model:Fine particle emission,gaseous products analysis[J].Energy,2022,261:125268.
- [107] 樊建岐.卷烟烟草的化学渗透热解模型(CPD)的发展与验证[D].杭州:浙江大学,2021.
- [108] WEI H,PENG Y H,HUANG H,et al.Toba-CPD:An extended chemical percolation devolatilization model for tobacco pyrolysis[J].ACS Omega,2022,7(41):36776-36785.
- [109] SAMREEN H,ADHIRATH S W,ABHISHEK S,et al.Kinetic modelling of pyrolysis of cellulose using CPD model:Effect of salt[J].Journal of Thermal Analysis and Calorimetry,2022,147(17):9763-9777.
- GUO Wei
- YANG Panxi
- YU Zunyi
- GAO Kun
- WANG Jing
- ZHANG Jie
- DANG Minhui
- YANG Bolun
- WU Zhiqiang
- Shanxi Key Laboratory of Energy Chemical Process Intensifcation
- School of Chemical Engineering and Technology
- Xi′an Jiaotong University
- Shaanxi Coal and Chemical Industry Group Co.
- Ltd.
- GUO Wei
- YANG Panxi
- YU Zunyi
- GAO Kun
- WANG Jing
- ZHANG Jie
- DANG Minhui
- YANG Bolun
- WU Zhiqiang
- Shanxi Key Laboratory of Energy Chemical Process Intensifcation
- School of Chemical Engineering and Technology
- Xi′an Jiaotong University
- Shaanxi Coal and Chemical Industry Group Co.
- Ltd.