The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm
In this study, the effect of adding hydrogen to natural gas and EGR ratio was conducted on a diesel engine to investigate the engine performance and exhaust gases by AVL Fire multi-domain simulation software. For this investigation, a mixture of hydrogen fuel and natural gas replaced diesel fuel. Th...
- Autores:
-
Zareei, Javad
Rohani, Abbas
Núñez Alvarez, José Ricardo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9329
- Acceso en línea:
- https://hdl.handle.net/11323/9329
https://doi.org/10.1016/j.ijhydene.2022.04.294.
https://repositorio.cuc.edu.co/
- Palabra clave:
- Exhaust gas recirculation
Diesel engine
Performance
Exhaust emissions
Multi-objective genetic algorithm (MOGA)
Cumulative heat release
- Rights
- embargoedAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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dc.title.eng.fl_str_mv |
The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm |
title |
The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm |
spellingShingle |
The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm Exhaust gas recirculation Diesel engine Performance Exhaust emissions Multi-objective genetic algorithm (MOGA) Cumulative heat release |
title_short |
The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm |
title_full |
The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm |
title_fullStr |
The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm |
title_full_unstemmed |
The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm |
title_sort |
The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm |
dc.creator.fl_str_mv |
Zareei, Javad Rohani, Abbas Núñez Alvarez, José Ricardo |
dc.contributor.author.spa.fl_str_mv |
Zareei, Javad Rohani, Abbas Núñez Alvarez, José Ricardo |
dc.subject.proposal.eng.fl_str_mv |
Exhaust gas recirculation Diesel engine Performance Exhaust emissions Multi-objective genetic algorithm (MOGA) Cumulative heat release |
topic |
Exhaust gas recirculation Diesel engine Performance Exhaust emissions Multi-objective genetic algorithm (MOGA) Cumulative heat release |
description |
In this study, the effect of adding hydrogen to natural gas and EGR ratio was conducted on a diesel engine to investigate the engine performance and exhaust gases by AVL Fire multi-domain simulation software. For this investigation, a mixture of hydrogen fuel and natural gas replaced diesel fuel. The percentage of hydrogen in blend fuel changed from 0% to 40%. The compression ratio converted from 17:1 to 15:1. The EGR ratios were in three steps of 5%, 10%, and 15%, with different engine speeds from 1000 to 1800 RPM. The Gaussian process regression (GPR) was developed to model engine performance and exhaust emissions. The optimal values of EGR and the percentage of hydrogen in the blend of HCNG were extracted using a multi-objective genetic algorithm (MOGA). The results showed that by increasing EGR, thermal efficiency, the engine power, and specific fuel consumption decreased due to prolongation of combustion length while cumulative heat release increased but, its effect on cylinder pressure is insignificant. Adding hydrogen to natural gas increased the combustion temperature and, consequently NOx. While the amount of CO and HC decreased. The results of GPR and MOGA illustrated that at different engine speeds, the optimum values of EGR and HCNG were 6.35% and 31%, respectively. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2022-07-01T20:49:28Z |
dc.date.available.none.fl_str_mv |
2022-07-01T20:49:28Z 2023 |
dc.date.issued.none.fl_str_mv |
2022 |
dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
format |
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dc.identifier.citation.spa.fl_str_mv |
Javad Zareei, Abbas Rohani, José Ricardo Nuñez Alvarez, The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm, International Journal of Hydrogen Energy, Volume 47, Issue 50, 2022, Pages 21565-21581, ISSN 0360-3199, https://doi.org/10.1016/j.ijhydene.2022.04.294. |
dc.identifier.issn.spa.fl_str_mv |
0360-3199 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/9329 |
dc.identifier.url.spa.fl_str_mv |
https://doi.org/10.1016/j.ijhydene.2022.04.294. |
dc.identifier.doi.spa.fl_str_mv |
10.1016/j.ijhydene.2022.04.294. |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
Javad Zareei, Abbas Rohani, José Ricardo Nuñez Alvarez, The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm, International Journal of Hydrogen Energy, Volume 47, Issue 50, 2022, Pages 21565-21581, ISSN 0360-3199, https://doi.org/10.1016/j.ijhydene.2022.04.294. 0360-3199 10.1016/j.ijhydene.2022.04.294. Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/9329 https://doi.org/10.1016/j.ijhydene.2022.04.294. https://repositorio.cuc.edu.co/ |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofjournal.spa.fl_str_mv |
International Journal of Hydrogen Energy |
dc.relation.references.spa.fl_str_mv |
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[7] Ahmadipour S, Aghkhani MH, Zareei J. Investigation of injection timing and different fuels on the diesel engine performance and emissions. J Comput Appl Res Mech Eng 2020 Feb 1;9(2):385e96. [8] Jamrozik A, Grab-Rogalinski K, Tutak W. Hydrogen effects on combustion stability, performance and emission of diesel engine. Int J Hydrogen Energy 2020 Jul 31;45(38):19936e47. [9] Park H, Shim E, Lee J, Oh S, Kim C, Lee Y, Kang K. Largeesquish piston geometry and early pilot injection for high efficiency and low methane emission in natural gasediesel dual fuel engine at higheload operations. Fuel 2022 Jan 15;308:122015. [10] Zareei J, Kakaee AH. Study and the effects of ignition timing on gasoline engine performance and emissions. European Transport Res Review 2013 Jun 1;5(2):109e16. [11] Zareei J, Rohani A. Optimization and study of performance parameters in an engine fueled with hydrogen. Int J Hydrog Energy 2020 Jan 1;45(1):322e36. [12] Bayramoglu K, Yılmaz S. 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The impact of the use of compressed natural gas in a car diesel engine on the formation and oxidation of soot particles. InIOP Conference Series: Mater Sci Eng 2020 Jan;734(1):12207. IOP Publishing. [18] Liu J, Dumitrescu CE. Improved thermodynamic model for lean natural gas spark ignition in a diesel engine using a triple Wiebe function. J Energy Resour Technol 2020 Jun 1;142(6). [19] Liu J, Dumitrescu CE. Investigation of multistage combustion inside a heavy-duty natural-gas spark-ignition engine using 3D CFD simulations and the wiebe-function combustion model. J Eng Gas Turbines Power 2020 Jan 1;142(10). [20] Duan X, Liu Y, Liu J, Lai MC, Jansons M, Guo G, Zhang S, Tang Q. Experimental and numerical investigation of the effects of low-pressure, high-pressure and internal EGR configurations on the performance, combustion and emission characteristics in a hydrogen-enriched heavy-duty lean-burn natural gas SI engine. Energy Convers Manag 2019 Sep 1;195:1319e33. 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[44] Agarwal D, Singh SK, Agarwal AK. Effect of Exhaust Gas Recirculation (EGR) on performance, emissions, deposits and durability of a constant speed compression ignition engine. Appl Energy 2011 Aug 1;88(8):2900e7. [45] Williams CK, Rasmussen CE. Gaussian processes for machine learning. Cambridge, MA: MIT press; 2006. [46] Arthur CK, Temeng VA, Ziggah YY. A Self-adaptive differential evolutionary extreme learning machine (SaDEELM): a novel approach to blast-induced ground vibration prediction. SN Appl Sci 2020 Nov;2(11):1e23. [47] Snelson E, Ghahramani Z. Local and global sparse Gaussian process approximations. InArtificial Intelligence and Statistics 2007 Mar 11:524e31. PMLR. [48] Arthur CK, Temeng VA, Ziggah YY. Soft computing-based technique as a predictive tool to estimate blast-induced ground vibration. J Sustain Mining 2019 Nov 1;18(4):287e96. [49] Nocedal J, Wright SJ. Large-scale unconstrained optimization. Numerical Opt 2006:164e92. [50] Anil R, Pereyra G, Passos A, Ormandi R, Dahl GE, Hinton GE. Large scale distributed neural network training through online distillation. arXiv preprint arXiv:1804.03235 2018 Apr 9. [51] Li W, Liu Z, Wang Z, Dou H. Experimental and theoretical analysis of effects of atomic, diatomic and polyatomic inert gases in air and EGR on mixture properties, combustion, thermal efficiency and NOx emissions of a pilot-ignited NG engine. Energy Convers Manag 2015 Nov 15;105:1082e95. [52] Hu E, Huang Z. Optimization on ignition timing and EGR ratio of a spark-ignition engine fuelled with natural gas-hydrogen blends. SAE Technical Paper; 2011 Apr 12. [53] Zhou J, Guo Y, Huang Z, Wang C. A review and prospects of gas mixture containing hydrogen as vehicle fuel in China. Int J Hydrog Energy 2019 Nov 12;44(56):29776e84. [54] Khodamrezaee F, Keshavarz A. Thermodynamic and experimental analysis of hydrogen addition to CNG in a spark ignition engine for emission reduction. Energy Sources, Part A Recovery, Util Environ Eff 2020 Apr 4:1e2. [55] Park BY, Lee KH, Park J. Conceptual approach on feasible hydrogen contents for retrofit of CNG to HCNG under heavyduty spark ignition engine at low-to-middle speed ranges. Energies 2020 Jan;13(15):3861. [56] Hao D, Mehra RK, Luo S, Nie Z, Ren X, Fanhua M. Experimental study of hydrogen enriched compressed natural gas (HCNG) engine and application of support vector machine (SVM) on prediction of engine performance at specific condition. Int J Hydrog Energy 2020 Feb 14;45(8):5309e25. [57] Huang Z, Huang J, Luo J, Hu D, Yin Z. Performance enhancement and emission reduction of a diesel engine fueled with different biodiesel-diesel blending fuel based on the multi-parameter optimization theory. Fuel 2022 Apr 15;314:122753. [58] Kumar BR, Saravanan S, Rana D, Anish V, Nagendran A. Effect of a sustainable biofuelen-octanoleon the combustion, performance and emissions of a DI diesel engine under naturally aspirated and exhaust gas recirculation (EGR) modes. Energy Convers Manag 2016 Jun 15;118:275e86. [59] Kanth S, Ananad T, Debbarma S, Das B. Effect of fuel opening injection pressure and injection timing of hydrogen enriched rice bran biodiesel fuelled in CI engine. Int J Hydrog Energy 2021 Aug 13;46(56):28789e800. [60] Zareei J, Rohani A, Mazari F, Mikkhailova MV. Numerical investigation of the effect of two-step injection (direct and port injection) of hydrogen blending and natural gas on engine performance and exhaust gas emissions. Energy 2021 Sep 15;231:120957. [61] Lee S, Kim G, Bae C. Lean combustion of stratified hydrogen in a constant volume chamber. Fuel 2021 Oct 1;301:121045. [62] Long Y, Li G, Zhang Z, Liang J. Application of reformed exhaust gas recirculation on marine LNG engines for NOx emission control. Fuel 2021 May 1;291:120114. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) © 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved. |
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Zareei, JavadRohani, AbbasNúñez Alvarez, José Ricardo2022-07-01T20:49:28Z20232022-07-01T20:49:28Z2022Javad Zareei, Abbas Rohani, José Ricardo Nuñez Alvarez, The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm, International Journal of Hydrogen Energy, Volume 47, Issue 50, 2022, Pages 21565-21581, ISSN 0360-3199, https://doi.org/10.1016/j.ijhydene.2022.04.294.0360-3199https://hdl.handle.net/11323/9329https://doi.org/10.1016/j.ijhydene.2022.04.294.10.1016/j.ijhydene.2022.04.294.Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In this study, the effect of adding hydrogen to natural gas and EGR ratio was conducted on a diesel engine to investigate the engine performance and exhaust gases by AVL Fire multi-domain simulation software. For this investigation, a mixture of hydrogen fuel and natural gas replaced diesel fuel. The percentage of hydrogen in blend fuel changed from 0% to 40%. The compression ratio converted from 17:1 to 15:1. The EGR ratios were in three steps of 5%, 10%, and 15%, with different engine speeds from 1000 to 1800 RPM. The Gaussian process regression (GPR) was developed to model engine performance and exhaust emissions. The optimal values of EGR and the percentage of hydrogen in the blend of HCNG were extracted using a multi-objective genetic algorithm (MOGA). The results showed that by increasing EGR, thermal efficiency, the engine power, and specific fuel consumption decreased due to prolongation of combustion length while cumulative heat release increased but, its effect on cylinder pressure is insignificant. Adding hydrogen to natural gas increased the combustion temperature and, consequently NOx. While the amount of CO and HC decreased. The results of GPR and MOGA illustrated that at different engine speeds, the optimum values of EGR and HCNG were 6.35% and 31%, respectively.17 páginasapplication/pdfengElsevier Ltd.United KingdomAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfThe effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithmArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://www.sciencedirect.com/science/article/pii/S0360319922019656#!International Journal of Hydrogen Energy[1] Lloyd AC, Cackette TA. Diesel engines: environmental impact and control. J Air Waste Manag Assoc 2001 Jun 1;51(6):809e47.[2] Burtscher H. Physical characterization of particulate emissions from diesel engines: a review. J Aerosol Sci 2005 Jul 1;36(7):896e932.[3] Chen H, Shi-Jin S, Jian-Xin W. Study on combustion characteristics and PM emission of diesel engines using estereethanolediesel blended fuels. Proc Combust Inst 2007 Jan 1;31(2):2981e9.[4] Sathiyagnanam AP, Saravanan CG, Gopalakrishnan M. Hexanol-ethanol diesel blends on DI-diesel engine to study the combustion and emission. Proc WRI World Congr Comput Sci Inf Eng 2010 Jun 30;2:1e5.[5] Azizb A. PM emission of diesel engines using ester-ethanoldiesel blended fuel. Procedia Eng 2013;53:530e5.[6] Heydari-Maleney K, Taghizadeh-Alisaraei A, Ghobadian B, Abbaszadeh-Mayvan A. Analyzing and evaluation of carbon nanotubes additives to diesohol-B2 fuels on performance and emission of diesel engines. Fuel 2017 May 15;196:110e23.[7] Ahmadipour S, Aghkhani MH, Zareei J. Investigation of injection timing and different fuels on the diesel engine performance and emissions. J Comput Appl Res Mech Eng 2020 Feb 1;9(2):385e96.[8] Jamrozik A, Grab-Rogalinski K, Tutak W. 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Fuel 2021 May 1;291:120114.21581215655047Exhaust gas recirculationDiesel enginePerformanceExhaust emissionsMulti-objective genetic algorithm (MOGA)Cumulative heat releasePublicationORIGINALThe effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine.pdfThe effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine.pdfapplication/pdf5528295https://repositorio.cuc.edu.co/bitstreams/9ef85389-bfd5-4f28-97c7-2fd2c03b9ddd/downloadd4618ecba066f55baa161ef0c9ef514aMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/2426e5ba-d6fd-4639-bd2d-f30b10fd02e7/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTThe effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine.pdf.txtThe effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel 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