Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach

[EN] Plasma gasification is a promising thermochemical technology for converting municipal solid waste into syngas with a reduced environmental impact. However, research in this field is limited to the use of black-box software, which impedes methodological innovation and is key to advanced research...

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Autores: Chuquin-Vasco, Daniel, Lo-Iacono-Ferreira, Vanesa G.|||0000-0002-1411-8785, Torregrosa López, Juan Ignacio
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/231641
Acceso en línea:https://riunet.upv.es/handle/10251/231641
Access Level:acceso abierto
Palabra clave:Biomass
Gasification
Modeling
Open-source
Plasma
Syngas
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
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spelling Open-Source Modeling of Syngas Production from Biomass: A Code-Driven ApproachChuquin-Vasco, DanielLo-Iacono-Ferreira, Vanesa G.|||0000-0002-1411-8785Torregrosa López, Juan IgnacioBiomassGasificationModelingOpen-sourcePlasmaSyngas07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos[EN] Plasma gasification is a promising thermochemical technology for converting municipal solid waste into syngas with a reduced environmental impact. However, research in this field is limited to the use of black-box software, which impedes methodological innovation and is key to advanced research into gasification processes. This study proposes a fully open-source and modular simulation model for plasma gasification of municipal solid waste developed in Python. The model consists of three interconnected modules: (1) decomposition of biomass into its elemental constituents, (2) simulation of the plasma gasifying stream, and (3) kinetic modeling of chemical reactions in a plug-flow reactor (PFR). Thermodynamic properties and reaction kinetics are implemented by using scientific Python libraries (Pyromat, CoolProp, Pint, NumPy, and SciPy).The model was validated against commercial Aspen Plus simulations by using experimental data. It achieved low mean absolute percentage errors (MAPEs) of 1.04% for Modules 1 and 2 and 14.19% for the reactor model. The predicted syngas composition at the reactor outlet was 44.3% hydrogen, 18.2% carbon monoxide, 12.7% carbon dioxide, and 14.8% water vapor (on a molar basis). Sensitivity analysis showed that increasing the air equivalence ratio from 0.04 to 0.16 reduced hydrogen and carbon monoxide concentrations by 25.7% and 42.4%, respectively. The optimal steam-to-fuel ratio was 0.08, which maximized hydrogen production to up to 45.5%. This open-source framework enables reproducible research and can be expanded with optimization algorithms and environmental or techno-economic assessments in future studies.Funding for open access charge: CRUE-Universitat Politecnica de Valencia.American Chemical SocietyDepartamento de Ingeniería Química y NuclearDepartamento de Proyectos de IngenieríaInstituto Universitario de Seguridad Industrial, Radiofísica y MedioambientalEscuela Politécnica Superior de AlcoyCentro de Investigación en Dirección de Proyectos, Innovación y Sostenibilidad (PRINS)Universitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-12-17journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/231641reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2316412026-06-13T07:49:27Z
dc.title.none.fl_str_mv Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach
title Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach
spellingShingle Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach
Chuquin-Vasco, Daniel
Biomass
Gasification
Modeling
Open-source
Plasma
Syngas
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
title_short Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach
title_full Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach
title_fullStr Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach
title_full_unstemmed Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach
title_sort Open-Source Modeling of Syngas Production from Biomass: A Code-Driven Approach
dc.creator.none.fl_str_mv Chuquin-Vasco, Daniel
Lo-Iacono-Ferreira, Vanesa G.|||0000-0002-1411-8785
Torregrosa López, Juan Ignacio
author Chuquin-Vasco, Daniel
author_facet Chuquin-Vasco, Daniel
Lo-Iacono-Ferreira, Vanesa G.|||0000-0002-1411-8785
Torregrosa López, Juan Ignacio
author_role author
author2 Lo-Iacono-Ferreira, Vanesa G.|||0000-0002-1411-8785
Torregrosa López, Juan Ignacio
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Química y Nuclear
Departamento de Proyectos de Ingeniería
Instituto Universitario de Seguridad Industrial, Radiofísica y Medioambiental
Escuela Politécnica Superior de Alcoy
Centro de Investigación en Dirección de Proyectos, Innovación y Sostenibilidad (PRINS)
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Biomass
Gasification
Modeling
Open-source
Plasma
Syngas
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
topic Biomass
Gasification
Modeling
Open-source
Plasma
Syngas
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
description [EN] Plasma gasification is a promising thermochemical technology for converting municipal solid waste into syngas with a reduced environmental impact. However, research in this field is limited to the use of black-box software, which impedes methodological innovation and is key to advanced research into gasification processes. This study proposes a fully open-source and modular simulation model for plasma gasification of municipal solid waste developed in Python. The model consists of three interconnected modules: (1) decomposition of biomass into its elemental constituents, (2) simulation of the plasma gasifying stream, and (3) kinetic modeling of chemical reactions in a plug-flow reactor (PFR). Thermodynamic properties and reaction kinetics are implemented by using scientific Python libraries (Pyromat, CoolProp, Pint, NumPy, and SciPy).The model was validated against commercial Aspen Plus simulations by using experimental data. It achieved low mean absolute percentage errors (MAPEs) of 1.04% for Modules 1 and 2 and 14.19% for the reactor model. The predicted syngas composition at the reactor outlet was 44.3% hydrogen, 18.2% carbon monoxide, 12.7% carbon dioxide, and 14.8% water vapor (on a molar basis). Sensitivity analysis showed that increasing the air equivalence ratio from 0.04 to 0.16 reduced hydrogen and carbon monoxide concentrations by 25.7% and 42.4%, respectively. The optimal steam-to-fuel ratio was 0.08, which maximized hydrogen production to up to 45.5%. This open-source framework enables reproducible research and can be expanded with optimization algorithms and environmental or techno-economic assessments in future studies.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-12-17
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/231641
url https://riunet.upv.es/handle/10251/231641
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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