Estimation parameters of hydrocracking model with NSGA-ii (Non-dominated Sorting Genetic Algorithm) by using discrete kinetic lumping model
[Display omitted] •NSGA-ii is proposed to free model parameter estimation from providing weight factors.•Scopes of parameters are narrowed and one of them is found to be calculated directly.•Effects of parameters perturbations are shown by graphs for final selection. Process of parameter estimation...
Saved in:
Published in | Fuel (Guildford) Vol. 200; pp. 333 - 344 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ltd
15.07.2017
Elsevier BV |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | [Display omitted]
•NSGA-ii is proposed to free model parameter estimation from providing weight factors.•Scopes of parameters are narrowed and one of them is found to be calculated directly.•Effects of parameters perturbations are shown by graphs for final selection.
Process of parameter estimation of hydrocracking modeling has not received enough attention which is actually indispensable. In this work, NSGA-ii was introduced to estimate parameters for avoiding unifying temperature and yield deviations by giving weight factors which would be a challenge and obstacle for calculating ideal parameters. Besides, by studying the nature of parameters, one of six parameters in Stangeland model is found can be calculated directly for the first time and scopes of others are also discussed with some of them reduced which would help to find more reliable parameters. Moreover, effects of parameter perturbation on model results are displayed which would provide a guidance for adjusting and choosing better parameters as the final step. Comparison between proposed method and past method showing that it could help provide parameters with good universality and forecast ability. |
---|---|
AbstractList | [Display omitted]
•NSGA-ii is proposed to free model parameter estimation from providing weight factors.•Scopes of parameters are narrowed and one of them is found to be calculated directly.•Effects of parameters perturbations are shown by graphs for final selection.
Process of parameter estimation of hydrocracking modeling has not received enough attention which is actually indispensable. In this work, NSGA-ii was introduced to estimate parameters for avoiding unifying temperature and yield deviations by giving weight factors which would be a challenge and obstacle for calculating ideal parameters. Besides, by studying the nature of parameters, one of six parameters in Stangeland model is found can be calculated directly for the first time and scopes of others are also discussed with some of them reduced which would help to find more reliable parameters. Moreover, effects of parameter perturbation on model results are displayed which would provide a guidance for adjusting and choosing better parameters as the final step. Comparison between proposed method and past method showing that it could help provide parameters with good universality and forecast ability. Process of parameter estimation of hydrocracking modeling has not received enough attention which is actually indispensable. In this work, NSGA-ii was introduced to estimate parameters for avoiding unifying temperature and yield deviations by giving weight factors which would be a challenge and obstacle for calculating ideal parameters. Besides, by studying the nature of parameters, one of six parameters in Stangeland model is found can be calculated directly for the first time and scopes of others are also discussed with some of them reduced which would help to find more reliable parameters. Moreover, effects of parameter perturbation on model results are displayed which would provide a guidance for adjusting and choosing better parameters as the final step. Comparison between proposed method and past method showing that it could help provide parameters with good universality and forecast ability. |
Author | Li, Guoqing Cai, Chuxuan |
Author_xml | – sequence: 1 givenname: Guoqing surname: Li fullname: Li, Guoqing email: gqli1@scut.edu.cn – sequence: 2 givenname: Chuxuan surname: Cai fullname: Cai, Chuxuan |
BookMark | eNp9kDFv2zAQhYkiBeq4_QOdCHRJBqlHURJtIIsRuE6BIB2SnaDIU0JXIh2SSuHf0D9dKg4yFjdwuO-9d3zn5Mx5h4R8ZVAyYO33fdlPOJQVMFECL0GsPpAFWwleCNbwM7KATBUVb9knch7jHiAjTb0gf7cx2VEl6x09qKBGTBgi9T19OprgdVD6t3WPdPQGB_rHpid6d7_bFNbSizvvCuNH61RCQ-99SDO5Q4fJaroZHn3I_HhJuyOd4rwzNuqQE2j2fIWGaTy8238mH3s1RPzy9i7Jw4_tw_VNcftr9_N6c1to3japqA2IddVg1_JWc2C9Yp3RQoFZM9VyJhjvGM__E71WsIambmrV1LpTK1V1PV-SbyfbQ_DPE8Yk934KLifKCqAVay7yLEl1onTwMQbs5SHkosJRMpBz53Iv587l3LkELnNgFl2dRJjPf7EYZNQWnUZjA-okjbf_k_8DphaOKA |
CitedBy_id | crossref_primary_10_1007_s11696_021_01591_1 crossref_primary_10_1007_s10462_023_10526_z crossref_primary_10_1007_s10462_022_10219_z crossref_primary_10_1016_j_cej_2019_121920 crossref_primary_10_1016_j_cej_2018_08_197 crossref_primary_10_1007_s11814_024_00104_6 crossref_primary_10_1177_0954406220903743 crossref_primary_10_1016_j_enconman_2020_112632 |
Cites_doi | 10.1016/j.fuel.2014.08.032 10.1016/j.ces.2012.03.037 10.1016/j.apcata.2010.04.050 10.1016/j.compchemeng.2015.06.005 10.1109/4235.996017 10.1016/j.apcata.2009.06.018 10.1016/j.fuel.2015.09.091 10.1021/ie021057s 10.1016/0378-3820(91)90013-3 10.1007/s11814-016-0095-5 10.1016/j.jtice.2015.05.002 10.1002/aic.14680 10.1016/j.jprocont.2012.08.016 10.1021/i260049a013 10.1021/ef000097a 10.1016/j.cej.2006.10.012 10.1016/j.fuel.2007.08.009 10.1016/j.fuel.2011.03.044 10.1080/00986440214584 10.1002/ente.201500029 10.1016/j.fuel.2015.09.057 10.1016/j.fuel.2013.09.053 10.1021/ef2005942 10.1016/j.fuproc.2014.02.006 10.1016/j.fuel.2011.02.043 10.1016/j.fuel.2014.05.079 10.1016/j.fuel.2012.09.044 10.1016/j.fuel.2009.05.004 10.1016/j.fuel.2012.05.032 10.1021/ie050423f |
ContentType | Journal Article |
Copyright | 2017 Copyright Elsevier BV Jul 15, 2017 |
Copyright_xml | – notice: 2017 – notice: Copyright Elsevier BV Jul 15, 2017 |
DBID | AAYXX CITATION 7QF 7QO 7QQ 7SC 7SE 7SP 7SR 7T7 7TA 7TB 7U5 8BQ 8FD C1K F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D P64 |
DOI | 10.1016/j.fuel.2017.03.078 |
DatabaseName | CrossRef Aluminium Industry Abstracts Biotechnology Research Abstracts Ceramic Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Materials Business File Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database Environmental Sciences and Pollution Management ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Biotechnology and BioEngineering Abstracts |
DatabaseTitle | CrossRef Materials Research Database Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Materials Business File Environmental Sciences and Pollution Management Aerospace Database Copper Technical Reference Library Engineered Materials Abstracts Biotechnology Research Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering Civil Engineering Abstracts Aluminium Industry Abstracts Electronics & Communications Abstracts Ceramic Abstracts METADEX Biotechnology and BioEngineering Abstracts Computer and Information Systems Abstracts Professional Solid State and Superconductivity Abstracts Engineering Research Database Corrosion Abstracts |
DatabaseTitleList | Materials Research Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 1873-7153 |
EndPage | 344 |
ExternalDocumentID | 10_1016_j_fuel_2017_03_078 S001623611730354X |
GroupedDBID | --K --M -~X .~1 0R~ 1B1 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARJD AARLI AAXUO ABFNM ABJNI ABMAC ABNUV ABYKQ ACDAQ ACIWK ACNCT ACPRK ACRLP ADBBV ADECG ADEWK ADEZE AEBSH AEKER AENEX AFKWA AFRAH AFTJW AFXIZ AFZHZ AGHFR AGUBO AGYEJ AHEUO AHHHB AHIDL AHPOS AIEXJ AIKHN AITUG AJBFU AJOXV AJSZI AKIFW AKURH ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BKOJK BLECG BLXMC CS3 DU5 EBS EFJIC EFLBG EJD ENUVR EO8 EO9 EP2 EP3 FDB FIRID FLBIZ FNPLU FYGXN G-Q GBLVA IHE J1W JARJE KOM LY6 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 PC. Q38 RIG RNS ROL RPZ SDF SDG SDP SES SPC SPCBC SSG SSJ SSK SSR SSZ T5K TWZ WH7 ZMT ~02 ~G- 29H 8WZ A6W AAQXK AAXKI AAYXX ABDEX ABEFU ABTAH ABXDB ACNNM ADMUD AFFNX AFJKZ AI. AKRWK ASPBG AVWKF AZFZN CITATION FEDTE FGOYB G-2 HVGLF HZ~ H~9 R2- SAC SCB SEW VH1 WUQ XPP ZY4 7QF 7QO 7QQ 7SC 7SE 7SP 7SR 7T7 7TA 7TB 7U5 8BQ 8FD C1K F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D P64 |
ID | FETCH-LOGICAL-c365t-4d07925eb636c301fa1bdc7a0d91a631713b130787fca0905454a54cba8a2bf3 |
IEDL.DBID | AIKHN |
ISSN | 0016-2361 |
IngestDate | Thu Oct 10 19:20:38 EDT 2024 Thu Sep 26 18:55:17 EDT 2024 Fri Feb 23 02:21:28 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | Lump Parameter estimation Stangeland model Nsga-ii (Non-dominated Sorting Genetic Algorithm) |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c365t-4d07925eb636c301fa1bdc7a0d91a631713b130787fca0905454a54cba8a2bf3 |
PQID | 2006793737 |
PQPubID | 2045474 |
PageCount | 12 |
ParticipantIDs | proquest_journals_2006793737 crossref_primary_10_1016_j_fuel_2017_03_078 elsevier_sciencedirect_doi_10_1016_j_fuel_2017_03_078 |
PublicationCentury | 2000 |
PublicationDate | 2017-07-15 |
PublicationDateYYYYMMDD | 2017-07-15 |
PublicationDate_xml | – month: 07 year: 2017 text: 2017-07-15 day: 15 |
PublicationDecade | 2010 |
PublicationPlace | Kidlington |
PublicationPlace_xml | – name: Kidlington |
PublicationTitle | Fuel (Guildford) |
PublicationYear | 2017 |
Publisher | Elsevier Ltd Elsevier BV |
Publisher_xml | – name: Elsevier Ltd – name: Elsevier BV |
References | Elizalde, Ancheyta (b0145) 2011; 90 Taghipour, Naderifar (b0140) 2015; 3 Puron, Arcelus-Arrillaga, Chin, Pinilla, Fidalgo, Millan (b0105) 2014; 117 Zhou, Lu, Cao, Shi, Pan, Li (b0045) 2011; 90 Bhutani, And, Rangaiah (b0040) 2006; 45 Balasubramanian, Pushpavanam (b0075) 2008; 87 Becker, Serrand, Celse, Guillaume, Dulot (b0020) 2015; 165 Deb, Pratap, Agarwal, Meyarivan (b0165) 2002; 6 Elizalde, Rodríguez, Ancheyta (b0090) 2010; 382 Sildir, Arkuna, Cakal, Gokce, Kuzu (b0125) 2012; 22 Elizalde, Rodríguez, Ancheyta (b0085) 2009; 365 Asaee, Vafajoo, Khorasheh (b0060) 2014; 134 Becker, Celse, Guillaume, Dulot, Costa (b0010) 2015; 139 Sadighi (b0065) 2016; 33 Alhumaidan, Lababidi, Al-Adwani (b0135) 2008; 37 Elizalde, Ancheyta (b0150) 2014; 123 Kumar, Balasubramanian (b0080) 2009; 88 Krishna, Balasubramanian (b0155) 1998; 46 Toch, Thybaut, Marin (b0005) 2015; 61 Mohanty, Saraf, Kunzru (b0025) 1991; 29 Becker, Celse, Guillaume, Costa, Bertier, Guillon (b0120) 2016; 164 Balasubramanian, Bettina, Pushpavanam, Balaraman (b0070) 2003; 42 Periyasamy (b0160) 2015; 57 Li, Sun, Shen, Liu (b0035) 1994; 25 Martinezgrimaldo, Chavarriahernandez, Ramirez, Cuevas, Ortizmoreno (b0115) 2011; 25 Adam, Calemma, Galimberti, Gambaro, Heiszwolf, Ocone (b0110) 2012; 76 Li, Xia (b0050) 2013; 103 Stangeland (b0015) 1974; 13 Aydına, Celebia, Sildira, Arkuna, Cananb, Isb (b0130) 2015; 82 Martínez, Ancheyta (b0095) 2012; 100 Alcázar, Ancheyta (b0055) 2007; 128 Ancheyta-Juárez, Sotelo-Boyás (b0100) 2000; 14 Pacheco, Dassori (b0030) 2002; 189 Sadighi (10.1016/j.fuel.2017.03.078_b0065) 2016; 33 Bhutani (10.1016/j.fuel.2017.03.078_b0040) 2006; 45 Becker (10.1016/j.fuel.2017.03.078_b0010) 2015; 139 Li (10.1016/j.fuel.2017.03.078_b0035) 1994; 25 Sildir (10.1016/j.fuel.2017.03.078_b0125) 2012; 22 Elizalde (10.1016/j.fuel.2017.03.078_b0150) 2014; 123 Toch (10.1016/j.fuel.2017.03.078_b0005) 2015; 61 Krishna (10.1016/j.fuel.2017.03.078_b0155) 1998; 46 Mohanty (10.1016/j.fuel.2017.03.078_b0025) 1991; 29 Zhou (10.1016/j.fuel.2017.03.078_b0045) 2011; 90 Ancheyta-Juárez (10.1016/j.fuel.2017.03.078_b0100) 2000; 14 Li (10.1016/j.fuel.2017.03.078_b0050) 2013; 103 Becker (10.1016/j.fuel.2017.03.078_b0120) 2016; 164 Elizalde (10.1016/j.fuel.2017.03.078_b0085) 2009; 365 Stangeland (10.1016/j.fuel.2017.03.078_b0015) 1974; 13 Martínez (10.1016/j.fuel.2017.03.078_b0095) 2012; 100 Deb (10.1016/j.fuel.2017.03.078_b0165) 2002; 6 Balasubramanian (10.1016/j.fuel.2017.03.078_b0070) 2003; 42 Elizalde (10.1016/j.fuel.2017.03.078_b0090) 2010; 382 Alhumaidan (10.1016/j.fuel.2017.03.078_b0135) 2008; 37 Elizalde (10.1016/j.fuel.2017.03.078_b0145) 2011; 90 Puron (10.1016/j.fuel.2017.03.078_b0105) 2014; 117 Becker (10.1016/j.fuel.2017.03.078_b0020) 2015; 165 Martinezgrimaldo (10.1016/j.fuel.2017.03.078_b0115) 2011; 25 Taghipour (10.1016/j.fuel.2017.03.078_b0140) 2015; 3 Kumar (10.1016/j.fuel.2017.03.078_b0080) 2009; 88 Periyasamy (10.1016/j.fuel.2017.03.078_b0160) 2015; 57 Alcázar (10.1016/j.fuel.2017.03.078_b0055) 2007; 128 Aydına (10.1016/j.fuel.2017.03.078_b0130) 2015; 82 Pacheco (10.1016/j.fuel.2017.03.078_b0030) 2002; 189 Asaee (10.1016/j.fuel.2017.03.078_b0060) 2014; 134 Balasubramanian (10.1016/j.fuel.2017.03.078_b0075) 2008; 87 Adam (10.1016/j.fuel.2017.03.078_b0110) 2012; 76 |
References_xml | – volume: 100 start-page: 193 year: 2012 end-page: 199 ident: b0095 article-title: Kinetic model for hydrocracking of heavy oil in a CSTR involving short ad catalyst deactivation publication-title: Fuel contributor: fullname: Ancheyta – volume: 189 start-page: 1684 year: 2002 end-page: 1704 ident: b0030 article-title: Hydrocracking: an improved kinetic model and reactor modeling publication-title: Chem Eng Commun contributor: fullname: Dassori – volume: 33 start-page: 1 year: 2016 end-page: 9 ident: b0065 article-title: A two-dimensional discrete lumped model for a trickle-bed vacuum gas oil hydrocracking reactor publication-title: Korean J Chem Eng contributor: fullname: Sadighi – volume: 117 start-page: 408 year: 2014 end-page: 414 ident: b0105 article-title: Kinetic analysis of vacuum residue hydrocracking in early reaction stages publication-title: Fuel contributor: fullname: Millan – volume: 37 start-page: 129 year: 2008 end-page: 159 ident: b0135 article-title: Hydrocracking of atmospheric residue feedstock in hydrotreating processes publication-title: Kuwait J Sci Eng contributor: fullname: Al-Adwani – volume: 25 start-page: 3605 year: 2011 end-page: 3614 ident: b0115 article-title: Prediction of sulfur content, API gravity, and viscosity using a continuous mixture kinetic model for maya crude oil hydrocracking in a slurry-phase reactor publication-title: Energy Fuels contributor: fullname: Ortizmoreno – volume: 139 start-page: 133 year: 2015 end-page: 143 ident: b0010 article-title: Hydrotreatment modeling for a variety of VGO feedstocks: a continuous lumping approach publication-title: Fuel contributor: fullname: Costa – volume: 14 start-page: 1226 year: 2000 end-page: 1231 ident: b0100 article-title: Estimation of kinetic constants of a five-lump model for fluid catalytic cracking process using simpler sub-models publication-title: Energy Fuels contributor: fullname: Sotelo-Boyás – volume: 13 start-page: 71 year: 1974 end-page: 75 ident: b0015 article-title: A kinetic model for the prediction of hydrocracker yields publication-title: Ind Eng Chem Prod Res Dev contributor: fullname: Stangeland – volume: 45 start-page: 3040 year: 2006 end-page: 3043 ident: b0040 article-title: Modeling, simulation, and multi-objective optimization of an industrial hydrocracking unit publication-title: Ind Eng Chem Res contributor: fullname: Rangaiah – volume: 165 start-page: 306 year: 2015 end-page: 315 ident: b0020 article-title: Comparing hydrocracking models: continuous lumping vs. single events publication-title: Fuel contributor: fullname: Dulot – volume: 103 start-page: 285 year: 2013 end-page: 291 ident: b0050 article-title: Kinetic mechanism research of an industrial hydrocracker based on strict calculation of stoichiometric coefficients publication-title: Fuel contributor: fullname: Xia – volume: 164 start-page: 73 year: 2016 end-page: 82 ident: b0120 article-title: A continuous lumping model for hydrocracking on a zeolite catalysts: model development and parameter identification publication-title: Fuel contributor: fullname: Guillon – volume: 90 start-page: 3542 year: 2011 end-page: 3550 ident: b0145 article-title: On the detailed solution and application of the continuous kinetic lumping modeling to hydrocracking of heavy oils publication-title: Fuel contributor: fullname: Ancheyta – volume: 123 start-page: 114 year: 2014 end-page: 121 ident: b0150 article-title: Modeling catalyst deactivation during hydrocracking of atmospheric residue by using the continuous kinetic lumping model publication-title: Fuel Process Technol contributor: fullname: Ancheyta – volume: 382 start-page: 205 year: 2010 end-page: 212 ident: b0090 article-title: Modeling the effect of pressure and temperature on the hydrocracking of heavy crude oil by the continuous kinetic lumping approach publication-title: Appl Catal A: Gen contributor: fullname: Ancheyta – volume: 46 start-page: 87 year: 1998 end-page: 102 ident: b0155 article-title: Analytical solution for discrete lumped kinetic equations in hydrocracking of heavier petroleum fractions publication-title: Ind Eng Chem Res contributor: fullname: Balasubramanian – volume: 365 start-page: 237 year: 2009 end-page: 242 ident: b0085 article-title: Application of continuous kinetic lumping modeling to moderate hydrocracking of heavy oil publication-title: Appl Catal A: Gen contributor: fullname: Ancheyta – volume: 22 start-page: 1956 year: 2012 end-page: 1965 ident: b0125 article-title: A dynamic non-isothermal model for a hydrocracking reactor: model development by the method of continuous lumping and application to an industrial unit publication-title: J Process Control contributor: fullname: Kuzu – volume: 61 start-page: 880 year: 2015 end-page: 892 ident: b0005 article-title: A systematic methodology for kinetic modeling of chemical reactions applied to n-hexane hydroisomerization publication-title: AIChE J contributor: fullname: Marin – volume: 3 start-page: 758 year: 2015 end-page: 767 ident: b0140 article-title: Kinetic modeling of vacuum residue thermal cracking in the visbreaking process using multiobjective optimization publication-title: Energy Technol contributor: fullname: Naderifar – volume: 87 start-page: 1660 year: 2008 end-page: 1672 ident: b0075 article-title: Model discrimination in hydrocracking of vacuum gas oil using discrete lumped kinetics publication-title: Fuel contributor: fullname: Pushpavanam – volume: 90 start-page: 3521 year: 2011 end-page: 3530 ident: b0045 article-title: Modeling and optimization of an industrial hydrocracking unit to improve the yield of diesel or kerosene publication-title: Fuel contributor: fullname: Li – volume: 128 start-page: 85 year: 2007 end-page: 93 ident: b0055 article-title: Sensitivity analysis based methodology to estimate the best set of parameters for heterogeneous kinetic models publication-title: Chem Eng J contributor: fullname: Ancheyta – volume: 76 start-page: 154 year: 2012 end-page: 164 ident: b0110 article-title: Continuum lumping kinetics of complex reactive systems publication-title: Chem Eng Sci contributor: fullname: Ocone – volume: 57 start-page: 9 year: 2015 end-page: 17 ident: b0160 article-title: Solution of linear differential equations in chemical kinetics through flow graph theory approach publication-title: J Taiwan Inst Chem Eng contributor: fullname: Periyasamy – volume: 134 start-page: 343 year: 2014 end-page: 353 ident: b0060 article-title: A new approach to estimate parameters of a lumped kinetic model for hydroconversion of heavy residue publication-title: Fuel contributor: fullname: Khorasheh – volume: 88 start-page: 2171 year: 2009 end-page: 2180 ident: b0080 article-title: Kinetic parameter estimation in hydrocracking using hybrid particle swarm optimization publication-title: Fuel contributor: fullname: Balasubramanian – volume: 25 start-page: 29 year: 1994 end-page: 34 ident: b0035 article-title: Establishment of hydrocracking kinetic model and study on the method of regressing parameters publication-title: Pet Process Petrochem contributor: fullname: Liu – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: b0165 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput contributor: fullname: Meyarivan – volume: 29 start-page: 1 year: 1991 end-page: 17 ident: b0025 article-title: Modeling of a hydrocracking reactor publication-title: Fuel Process Technol contributor: fullname: Kunzru – volume: 82 start-page: 44 year: 2015 end-page: 54 ident: b0130 article-title: Dynamic modeling of an industrial diesel hydroprocessing plant by the method of continuous lumping publication-title: Comput Chem Eng contributor: fullname: Isb – volume: 42 start-page: 4723 year: 2003 end-page: 4731 ident: b0070 article-title: Kinetic parameter estimation in hydrocracking using a combination of genetic algorithm and sequential quadratic programming publication-title: Ind Eng Chem Res contributor: fullname: Balaraman – volume: 139 start-page: 133 year: 2015 ident: 10.1016/j.fuel.2017.03.078_b0010 article-title: Hydrotreatment modeling for a variety of VGO feedstocks: a continuous lumping approach publication-title: Fuel doi: 10.1016/j.fuel.2014.08.032 contributor: fullname: Becker – volume: 76 start-page: 154 year: 2012 ident: 10.1016/j.fuel.2017.03.078_b0110 article-title: Continuum lumping kinetics of complex reactive systems publication-title: Chem Eng Sci doi: 10.1016/j.ces.2012.03.037 contributor: fullname: Adam – volume: 382 start-page: 205 issue: 2 year: 2010 ident: 10.1016/j.fuel.2017.03.078_b0090 article-title: Modeling the effect of pressure and temperature on the hydrocracking of heavy crude oil by the continuous kinetic lumping approach publication-title: Appl Catal A: Gen doi: 10.1016/j.apcata.2010.04.050 contributor: fullname: Elizalde – volume: 82 start-page: 44 year: 2015 ident: 10.1016/j.fuel.2017.03.078_b0130 article-title: Dynamic modeling of an industrial diesel hydroprocessing plant by the method of continuous lumping publication-title: Comput Chem Eng doi: 10.1016/j.compchemeng.2015.06.005 contributor: fullname: Aydına – volume: 37 start-page: 129 issue: 1B year: 2008 ident: 10.1016/j.fuel.2017.03.078_b0135 article-title: Hydrocracking of atmospheric residue feedstock in hydrotreating processes publication-title: Kuwait J Sci Eng contributor: fullname: Alhumaidan – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.fuel.2017.03.078_b0165 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 contributor: fullname: Deb – volume: 365 start-page: 237 issue: 2 year: 2009 ident: 10.1016/j.fuel.2017.03.078_b0085 article-title: Application of continuous kinetic lumping modeling to moderate hydrocracking of heavy oil publication-title: Appl Catal A: Gen doi: 10.1016/j.apcata.2009.06.018 contributor: fullname: Elizalde – volume: 165 start-page: 306 year: 2015 ident: 10.1016/j.fuel.2017.03.078_b0020 article-title: Comparing hydrocracking models: continuous lumping vs. single events publication-title: Fuel doi: 10.1016/j.fuel.2015.09.091 contributor: fullname: Becker – volume: 42 start-page: 4723 issue: 20 year: 2003 ident: 10.1016/j.fuel.2017.03.078_b0070 article-title: Kinetic parameter estimation in hydrocracking using a combination of genetic algorithm and sequential quadratic programming publication-title: Ind Eng Chem Res doi: 10.1021/ie021057s contributor: fullname: Balasubramanian – volume: 29 start-page: 1 year: 1991 ident: 10.1016/j.fuel.2017.03.078_b0025 article-title: Modeling of a hydrocracking reactor publication-title: Fuel Process Technol doi: 10.1016/0378-3820(91)90013-3 contributor: fullname: Mohanty – volume: 33 start-page: 1 issue: 9 year: 2016 ident: 10.1016/j.fuel.2017.03.078_b0065 article-title: A two-dimensional discrete lumped model for a trickle-bed vacuum gas oil hydrocracking reactor publication-title: Korean J Chem Eng doi: 10.1007/s11814-016-0095-5 contributor: fullname: Sadighi – volume: 57 start-page: 9 year: 2015 ident: 10.1016/j.fuel.2017.03.078_b0160 article-title: Solution of linear differential equations in chemical kinetics through flow graph theory approach publication-title: J Taiwan Inst Chem Eng doi: 10.1016/j.jtice.2015.05.002 contributor: fullname: Periyasamy – volume: 61 start-page: 880 issue: 3 year: 2015 ident: 10.1016/j.fuel.2017.03.078_b0005 article-title: A systematic methodology for kinetic modeling of chemical reactions applied to n-hexane hydroisomerization publication-title: AIChE J doi: 10.1002/aic.14680 contributor: fullname: Toch – volume: 22 start-page: 1956 issue: 10 year: 2012 ident: 10.1016/j.fuel.2017.03.078_b0125 article-title: A dynamic non-isothermal model for a hydrocracking reactor: model development by the method of continuous lumping and application to an industrial unit publication-title: J Process Control doi: 10.1016/j.jprocont.2012.08.016 contributor: fullname: Sildir – volume: 13 start-page: 71 issue: 1 year: 1974 ident: 10.1016/j.fuel.2017.03.078_b0015 article-title: A kinetic model for the prediction of hydrocracker yields publication-title: Ind Eng Chem Prod Res Dev doi: 10.1021/i260049a013 contributor: fullname: Stangeland – volume: 14 start-page: 1226 issue: 6 year: 2000 ident: 10.1016/j.fuel.2017.03.078_b0100 article-title: Estimation of kinetic constants of a five-lump model for fluid catalytic cracking process using simpler sub-models publication-title: Energy Fuels doi: 10.1021/ef000097a contributor: fullname: Ancheyta-Juárez – volume: 128 start-page: 85 issue: 2–3 year: 2007 ident: 10.1016/j.fuel.2017.03.078_b0055 article-title: Sensitivity analysis based methodology to estimate the best set of parameters for heterogeneous kinetic models publication-title: Chem Eng J doi: 10.1016/j.cej.2006.10.012 contributor: fullname: Alcázar – volume: 87 start-page: 1660 issue: 8–9 year: 2008 ident: 10.1016/j.fuel.2017.03.078_b0075 article-title: Model discrimination in hydrocracking of vacuum gas oil using discrete lumped kinetics publication-title: Fuel doi: 10.1016/j.fuel.2007.08.009 contributor: fullname: Balasubramanian – volume: 90 start-page: 3542 issue: 12 year: 2011 ident: 10.1016/j.fuel.2017.03.078_b0145 article-title: On the detailed solution and application of the continuous kinetic lumping modeling to hydrocracking of heavy oils publication-title: Fuel doi: 10.1016/j.fuel.2011.03.044 contributor: fullname: Elizalde – volume: 189 start-page: 1684 issue: 12 year: 2002 ident: 10.1016/j.fuel.2017.03.078_b0030 article-title: Hydrocracking: an improved kinetic model and reactor modeling publication-title: Chem Eng Commun doi: 10.1080/00986440214584 contributor: fullname: Pacheco – volume: 3 start-page: 758 issue: 7 year: 2015 ident: 10.1016/j.fuel.2017.03.078_b0140 article-title: Kinetic modeling of vacuum residue thermal cracking in the visbreaking process using multiobjective optimization publication-title: Energy Technol doi: 10.1002/ente.201500029 contributor: fullname: Taghipour – volume: 25 start-page: 29 issue: 5 year: 1994 ident: 10.1016/j.fuel.2017.03.078_b0035 article-title: Establishment of hydrocracking kinetic model and study on the method of regressing parameters publication-title: Pet Process Petrochem contributor: fullname: Li – volume: 164 start-page: 73 year: 2016 ident: 10.1016/j.fuel.2017.03.078_b0120 article-title: A continuous lumping model for hydrocracking on a zeolite catalysts: model development and parameter identification publication-title: Fuel doi: 10.1016/j.fuel.2015.09.057 contributor: fullname: Becker – volume: 117 start-page: 408 issue: 1 year: 2014 ident: 10.1016/j.fuel.2017.03.078_b0105 article-title: Kinetic analysis of vacuum residue hydrocracking in early reaction stages publication-title: Fuel doi: 10.1016/j.fuel.2013.09.053 contributor: fullname: Puron – volume: 25 start-page: 3605 issue: 8 year: 2011 ident: 10.1016/j.fuel.2017.03.078_b0115 article-title: Prediction of sulfur content, API gravity, and viscosity using a continuous mixture kinetic model for maya crude oil hydrocracking in a slurry-phase reactor publication-title: Energy Fuels doi: 10.1021/ef2005942 contributor: fullname: Martinezgrimaldo – volume: 123 start-page: 114 issue: 7 year: 2014 ident: 10.1016/j.fuel.2017.03.078_b0150 article-title: Modeling catalyst deactivation during hydrocracking of atmospheric residue by using the continuous kinetic lumping model publication-title: Fuel Process Technol doi: 10.1016/j.fuproc.2014.02.006 contributor: fullname: Elizalde – volume: 46 start-page: 87 issue: 48 year: 1998 ident: 10.1016/j.fuel.2017.03.078_b0155 article-title: Analytical solution for discrete lumped kinetic equations in hydrocracking of heavier petroleum fractions publication-title: Ind Eng Chem Res contributor: fullname: Krishna – volume: 90 start-page: 3521 issue: 12 year: 2011 ident: 10.1016/j.fuel.2017.03.078_b0045 article-title: Modeling and optimization of an industrial hydrocracking unit to improve the yield of diesel or kerosene publication-title: Fuel doi: 10.1016/j.fuel.2011.02.043 contributor: fullname: Zhou – volume: 134 start-page: 343 issue: 9 year: 2014 ident: 10.1016/j.fuel.2017.03.078_b0060 article-title: A new approach to estimate parameters of a lumped kinetic model for hydroconversion of heavy residue publication-title: Fuel doi: 10.1016/j.fuel.2014.05.079 contributor: fullname: Asaee – volume: 103 start-page: 285 issue: 1 year: 2013 ident: 10.1016/j.fuel.2017.03.078_b0050 article-title: Kinetic mechanism research of an industrial hydrocracker based on strict calculation of stoichiometric coefficients publication-title: Fuel doi: 10.1016/j.fuel.2012.09.044 contributor: fullname: Li – volume: 88 start-page: 2171 issue: 11 year: 2009 ident: 10.1016/j.fuel.2017.03.078_b0080 article-title: Kinetic parameter estimation in hydrocracking using hybrid particle swarm optimization publication-title: Fuel doi: 10.1016/j.fuel.2009.05.004 contributor: fullname: Kumar – volume: 100 start-page: 193 issue: 4 year: 2012 ident: 10.1016/j.fuel.2017.03.078_b0095 article-title: Kinetic model for hydrocracking of heavy oil in a CSTR involving short ad catalyst deactivation publication-title: Fuel doi: 10.1016/j.fuel.2012.05.032 contributor: fullname: Martínez – volume: 45 start-page: 3040 issue: 4 year: 2006 ident: 10.1016/j.fuel.2017.03.078_b0040 article-title: Modeling, simulation, and multi-objective optimization of an industrial hydrocracking unit publication-title: Ind Eng Chem Res doi: 10.1021/ie050423f contributor: fullname: Bhutani |
SSID | ssj0007854 |
Score | 2.3314261 |
Snippet | [Display omitted]
•NSGA-ii is proposed to free model parameter estimation from providing weight factors.•Scopes of parameters are narrowed and one of them is... Process of parameter estimation of hydrocracking modeling has not received enough attention which is actually indispensable. In this work, NSGA-ii was... |
SourceID | proquest crossref elsevier |
SourceType | Aggregation Database Publisher |
StartPage | 333 |
SubjectTerms | Catalytic cracking Classifying Genetic algorithms Hydrocracking Kinetics Lump Lumping Mathematical models Nsga-ii (Non-dominated Sorting Genetic Algorithm) Parameter estimation Perturbation methods Process parameters Sorting algorithms Stangeland model |
Title | Estimation parameters of hydrocracking model with NSGA-ii (Non-dominated Sorting Genetic Algorithm) by using discrete kinetic lumping model |
URI | https://dx.doi.org/10.1016/j.fuel.2017.03.078 https://www.proquest.com/docview/2006793737 |
Volume | 200 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwEB7BcmkPFS2tSnnIhx5aVS5x_EhyXCHoAmIvgLQ3y3ac7VZls1qWAxf-QP90Z_JAUFUcOCbyI_J4Hpp88w3AZ2WCT02uuY8m50oXhueSMO4YjCQx1d5ESg2cj83oSp1O9GQNDvtaGIJVdra_temNte7eHHSnebCYzajGVxiiDhF4SaVWk3XYQHek1AA2hidno_GDQc5y3ZIxC8NpQlc708K8qttIfyBE1nCdUre1__unfyx1436ON-FNFzeyYftpb2Etzt_B60dsglvw5wjVta1EZMTofU1IlxtWV-znXYl-aukC5cVZ0_yGUQKWjS9-DPlsxr6M6zkva4LFYATKLmriFpgy4qTG_djw97Re4vjrr8zfMYLKTxmV8y5xB4ZrNoPQyi0eln8Pl8dHl4cj3vVa4EEaveKqTLIi1dEbaQIqfeWEL0PmkrIQzmCQIaRHd4fqXQWXFBjoaeW0Ct7lLvWV_ACDeT2PH4EJQZzymXcyjxgdlM6JREpVBOdCWhZ6G771B2wXLaOG7aFmvyyJw5I4bCItbrcNupeBfXIvLJr8Z-ft9gKznVbeUMtNQ3yAMvv0wmV34BU9UXJX6F0YrJa3cQ-jkpXfh_Xv92K_u3t_AVSA4ck |
link.rule.ids | 315,786,790,4521,24144,27955,27956,45618,45712 |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB6V7QE4oPIShbb4wAGErMbxI8lxVbVsaZtLF2lvlu0420V0s9puD_0N_Glm8qgAIQ69Jn5EHs9Dk2--AfigTPCpyTX30eRc6cLwXBLGHYORJKbam0ipgYvSTL6przM924KjoRaGYJW97e9semut-yeH_WkerhYLqvEVhqhDBF5SqdXsEWwrnYl0BNvj07NJeW-Qs1x3ZMzCcJrQ1850MK_6NtIfCJG1XKfUbe3f_ukvS926n5MdeNbHjWzcfdpz2IrLF_D0NzbBl_DzGNW1q0RkxOh9TUiXG9bU7OquQj-1doHy4qxtfsMoAcvKyy9jvliwj2Wz5FVDsBiMQNllQ9wCc0ac1LgfG_-YN2scf_2J-TtGUPk5o3LeNe7AcM12EFq51f3yr2B6cjw9mvC-1wIP0ugNV1WSFamO3kgTUOlrJ3wVMpdUhXAGgwwhPbo7VO86uKTAQE8rp1XwLnepr-VrGC2bZXwDTAjilM-8k3nE6KByTiRSqiI4F9Kq0LvweThgu-oYNewANftuSRyWxGETaXG7XdCDDOwf98Kiyf_vvL1BYLbXyhtquWmID1Bmbx-47Ht4PJlenNvz0_LsHTyhN5ToFXoPRpv1bdzHCGXjD_ob-AvCQOO5 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Estimation+parameters+of+hydrocracking+model+with+NSGA-ii+%28Non-dominated+Sorting+Genetic+Algorithm%29+by+using+discrete+kinetic+lumping+model&rft.jtitle=Fuel+%28Guildford%29&rft.au=Li%2C+Guoqing&rft.au=Cai%2C+Chuxuan&rft.date=2017-07-15&rft.issn=0016-2361&rft.volume=200&rft.spage=333&rft.epage=344&rft_id=info:doi/10.1016%2Fj.fuel.2017.03.078&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_fuel_2017_03_078 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0016-2361&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0016-2361&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0016-2361&client=summon |