Multi-criteria analysis for selecting the optimum blend in the co-gasification process

Co-gasification is an efficient process for obtaining valuable by-products from blending different raw materials. However, selecting the optimum blend is complicated to establish as it depends on the criterion selected. In this study, the Analytical Hierarchy Process was used for obtaining the optim...

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Autores: Puig Gamero, María, Sanchez-Silva, Luz, Dorado Fernández, Fernando, Sánchez Paredes, Paula
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/29856
Acceso en línea:http://hdl.handle.net/10578/29856
Access Level:acceso abierto
Palabra clave:Co-gasification
Multi-criteria analysis
H2/CO
Price
CO2 burden
Reactivity
Co-gasificación
Análisis multicriterio
Precio
Carga de CO2
Reactividad
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spelling Multi-criteria analysis for selecting the optimum blend in the co-gasification processPuig Gamero, MaríaSanchez-Silva, LuzDorado Fernández, FernandoSánchez Paredes, PaulaCo-gasificationMulti-criteria analysisH2/COPriceCO2 burdenReactivityCo-gasificaciónAnálisis multicriterioPrecioCarga de CO2ReactividadCo-gasification is an efficient process for obtaining valuable by-products from blending different raw materials. However, selecting the optimum blend is complicated to establish as it depends on the criterion selected. In this study, the Analytical Hierarchy Process was used for obtaining the optimum blend in the co-gasification of olive pomace, almond shells and petcoke. Thus, four criteria (H2/CO ratio, gasification reactivity, CO2 burden and raw material price) and fifteen alternatives were proposed. Moreover, a sensitivity analysis was made to determine potential changes in the alternatives ranking. At this point, 29 scenarios were considered for evaluating all possible interactions between the criteria. The optimal sample depended on the scenario studied, which meant criteria weightages were significant. Moreover, a normalized priority ranking was calculated by taking all scenarios into consideration. Finally, the olive pomace and the blend of 75wt. % of olive pomace and 25wt. % of petcoke presented the best results.La cogasificación es un proceso eficiente para obtener subproductos valiosos a partir de la mezcla de diferentes materias primas. Sin embargo, la selección de la mezcla óptima es complicada de establecer ya que depende del criterio seleccionado. En este estudio se utilizó el Proceso de Jerarquía Analítica para la obtención de la mezcla óptima en la cogasificación de orujo de aceituna, cáscara de almendra y coque de petróleo. Así, cuatro criterios (relación H 2 /CO, reactividad de gasificación, CO 2carga y precio de la materia prima) y se propusieron quince alternativas. Además, se realizó un análisis de sensibilidad para determinar posibles cambios en el ranking de alternativas. En este punto, se consideraron 29 escenarios para evaluar todas las interacciones posibles entre los criterios. La muestra óptima dependía del escenario estudiado, lo que significaba que las ponderaciones de los criterios eran significativas. Además, se calculó una clasificación de prioridad normalizada teniendo en cuenta todos los escenarios. Finalmente, el orujo de aceituna y el coupage de 75wt. % de orujo de oliva y 25wt. El % de coque de petróleo presentó los mejores resultados.Elsevier202220222020info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10578/29856reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/298562026-05-27T07:36:41Z
dc.title.none.fl_str_mv Multi-criteria analysis for selecting the optimum blend in the co-gasification process
title Multi-criteria analysis for selecting the optimum blend in the co-gasification process
spellingShingle Multi-criteria analysis for selecting the optimum blend in the co-gasification process
Puig Gamero, María
Co-gasification
Multi-criteria analysis
H2/CO
Price
CO2 burden
Reactivity
Co-gasificación
Análisis multicriterio
Precio
Carga de CO2
Reactividad
title_short Multi-criteria analysis for selecting the optimum blend in the co-gasification process
title_full Multi-criteria analysis for selecting the optimum blend in the co-gasification process
title_fullStr Multi-criteria analysis for selecting the optimum blend in the co-gasification process
title_full_unstemmed Multi-criteria analysis for selecting the optimum blend in the co-gasification process
title_sort Multi-criteria analysis for selecting the optimum blend in the co-gasification process
dc.creator.none.fl_str_mv Puig Gamero, María
Sanchez-Silva, Luz
Dorado Fernández, Fernando
Sánchez Paredes, Paula
author Puig Gamero, María
author_facet Puig Gamero, María
Sanchez-Silva, Luz
Dorado Fernández, Fernando
Sánchez Paredes, Paula
author_role author
author2 Sanchez-Silva, Luz
Dorado Fernández, Fernando
Sánchez Paredes, Paula
author2_role author
author
author
dc.subject.none.fl_str_mv Co-gasification
Multi-criteria analysis
H2/CO
Price
CO2 burden
Reactivity
Co-gasificación
Análisis multicriterio
Precio
Carga de CO2
Reactividad
topic Co-gasification
Multi-criteria analysis
H2/CO
Price
CO2 burden
Reactivity
Co-gasificación
Análisis multicriterio
Precio
Carga de CO2
Reactividad
description Co-gasification is an efficient process for obtaining valuable by-products from blending different raw materials. However, selecting the optimum blend is complicated to establish as it depends on the criterion selected. In this study, the Analytical Hierarchy Process was used for obtaining the optimum blend in the co-gasification of olive pomace, almond shells and petcoke. Thus, four criteria (H2/CO ratio, gasification reactivity, CO2 burden and raw material price) and fifteen alternatives were proposed. Moreover, a sensitivity analysis was made to determine potential changes in the alternatives ranking. At this point, 29 scenarios were considered for evaluating all possible interactions between the criteria. The optimal sample depended on the scenario studied, which meant criteria weightages were significant. Moreover, a normalized priority ranking was calculated by taking all scenarios into consideration. Finally, the olive pomace and the blend of 75wt. % of olive pomace and 25wt. % of petcoke presented the best results.
publishDate 2020
dc.date.none.fl_str_mv 2020
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/10578/29856
url http://hdl.handle.net/10578/29856
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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