Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.

[EN] Waste generation is one of the greatest problems of present times, and the recycling of carbon fibre reinforced composites one big challenge to face. Currently, no resin valorisation is done in thermal fibre recycling methods. However, when pyrolysis is used, additional valuable compounds (syng...

Full description

Bibliographic Details
Authors: Serras Malillos, Adriana, Acha Peña, Esther, López Urionabarrenechea, Alexander, Pérez Martínez, Borja Baltasar, Caballero Iglesias, Blanca María
Format: article
Publication Date:2022
Country:España
Institution:Universidad del País Vasco
Repository:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/56667
Online Access:http://hdl.handle.net/10810/56667
Access Level:Open access
Keyword:composite waste recycling
carbon fiber reinforced polymer
epoxy resin valorisation
predictive process modelling
Aspen plus
circular economy
id ES_5dd858df2f97fe439607bd454e9bc13f
oai_identifier_str oai:addi.ehu.eus:10810/56667
network_acronym_str ES
network_name_str España
repository_id_str
spelling Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.Serras Malillos, AdrianaAcha Peña, EstherLópez Urionabarrenechea, AlexanderPérez Martínez, Borja BaltasarCaballero Iglesias, Blanca Maríacomposite waste recyclingcarbon fiber reinforced polymerepoxy resin valorisationpredictive process modellingAspen pluscircular economy[EN] Waste generation is one of the greatest problems of present times, and the recycling of carbon fibre reinforced composites one big challenge to face. Currently, no resin valorisation is done in thermal fibre recycling methods. However, when pyrolysis is used, additional valuable compounds (syngas or H2-rich gas) could be obtained by upgrading the generated vapours and gases. This work presents the thermodynamic and kinetic multi-reaction modelling of the pyrolysis vapours and gases upgrading process in Aspen Plus software. These models forecast the theoretical and in-between scenario of a thermal upgrading process of an experimentally characterised vapours and gases stream (a blend of thirty-five compounds). Indeed, the influence of temperature (500°C-1200°C) and pressure (DeltaP=0, 1 and 2bar) operating parameters are analysed in the outlet composition, residence time and possible reaction mechanisms occurring. Validation of the kinetic model has been done comparing predicted outlet composition with experimental data (at 700°C and 900°C with DeltaP=0bar) for H2 (g), CO (g), CO2 (g), CH4 (g), H2O (v) and C (s). Kinetic and experimental results show the same tendency with temperature, validating the model for further research. Good kinetic fit is obtained for H2 (g) (absolute error: 0.5wt% at constant temperature and 0.3wt% at variable temperature) and H2O (v) shows the highest error at variable T (8.8wt%). Both simulation and experimental results evolve towards simpler, less toxic and higher generation of hydrogen-rich gas with increasing operating temperature and pressure.The authors want to thank the Ministry of Science and Innovation of Spain (Ref. PID2019-110770RB-I00) and the Basque Government (Ref. KK-2020/00107, ELKARTEK program) for the funding to carry out the investigation. The authors also thank the financing granted to the “Sustainable Process Engineering” research group for the 2016–2021 period (Basque Government, Ref. IT993-16) and are grateful to Iñaki Múgica from Su Medioambiente (SUMA Soluciones Medioambientales, S.L.) for the technical support provided.Elsevier202220222022info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/56667reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MICINN/PID2019-110770RB-I00/https://www.sciencedirect.com/science/article/pii/S0045653522009924?via%3Dihubinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/3.0/es/© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Atribución-NoComercial-SinDerivadas 3.0 Españaoai:addi.ehu.eus:10810/566672026-06-18T09:23:17Z
dc.title.none.fl_str_mv Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.
title Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.
spellingShingle Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.
Serras Malillos, Adriana
composite waste recycling
carbon fiber reinforced polymer
epoxy resin valorisation
predictive process modelling
Aspen plus
circular economy
title_short Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.
title_full Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.
title_fullStr Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.
title_full_unstemmed Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.
title_sort Composite waste recycling: Predictive simulation of the pyrolysis vapours and gases upgrading process in Aspen plus.
dc.creator.none.fl_str_mv Serras Malillos, Adriana
Acha Peña, Esther
López Urionabarrenechea, Alexander
Pérez Martínez, Borja Baltasar
Caballero Iglesias, Blanca María
author Serras Malillos, Adriana
author_facet Serras Malillos, Adriana
Acha Peña, Esther
López Urionabarrenechea, Alexander
Pérez Martínez, Borja Baltasar
Caballero Iglesias, Blanca María
author_role author
author2 Acha Peña, Esther
López Urionabarrenechea, Alexander
Pérez Martínez, Borja Baltasar
Caballero Iglesias, Blanca María
author2_role author
author
author
author
dc.subject.none.fl_str_mv composite waste recycling
carbon fiber reinforced polymer
epoxy resin valorisation
predictive process modelling
Aspen plus
circular economy
topic composite waste recycling
carbon fiber reinforced polymer
epoxy resin valorisation
predictive process modelling
Aspen plus
circular economy
description [EN] Waste generation is one of the greatest problems of present times, and the recycling of carbon fibre reinforced composites one big challenge to face. Currently, no resin valorisation is done in thermal fibre recycling methods. However, when pyrolysis is used, additional valuable compounds (syngas or H2-rich gas) could be obtained by upgrading the generated vapours and gases. This work presents the thermodynamic and kinetic multi-reaction modelling of the pyrolysis vapours and gases upgrading process in Aspen Plus software. These models forecast the theoretical and in-between scenario of a thermal upgrading process of an experimentally characterised vapours and gases stream (a blend of thirty-five compounds). Indeed, the influence of temperature (500°C-1200°C) and pressure (DeltaP=0, 1 and 2bar) operating parameters are analysed in the outlet composition, residence time and possible reaction mechanisms occurring. Validation of the kinetic model has been done comparing predicted outlet composition with experimental data (at 700°C and 900°C with DeltaP=0bar) for H2 (g), CO (g), CO2 (g), CH4 (g), H2O (v) and C (s). Kinetic and experimental results show the same tendency with temperature, validating the model for further research. Good kinetic fit is obtained for H2 (g) (absolute error: 0.5wt% at constant temperature and 0.3wt% at variable temperature) and H2O (v) shows the highest error at variable T (8.8wt%). Both simulation and experimental results evolve towards simpler, less toxic and higher generation of hydrogen-rich gas with increasing operating temperature and pressure.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/56667
url http://hdl.handle.net/10810/56667
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MICINN/PID2019-110770RB-I00/
https://www.sciencedirect.com/science/article/pii/S0045653522009924?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Atribución-NoComercial-SinDerivadas 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Atribución-NoComercial-SinDerivadas 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869409058943926272
score 15,300724

Similar Items