Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling

Mass integration has been used for reducing the amount of process waste and environmental impact. Despite its long history, new challenges constantly arise with the use of process simulation tools offering platforms for rigorous process models. Therefore, the typical mass integration framework requi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Filippo Marchione, Konrad Hungerbuehler, Stavros Papadokonstantakis
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	process integration process simulation preemptive goal programming nonlinear optimization Aspen Plus simulation Technology T Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/264e2f5f10674c368726ddbae28d9059
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:264e2f5f10674c368726ddbae28d9059
record_format	dspace
spelling	oai:doaj.org-article:264e2f5f10674c368726ddbae28d90592021-12-02T00:33:02ZMass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling2673-271810.3389/fceng.2021.785179https://doaj.org/article/264e2f5f10674c368726ddbae28d90592021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fceng.2021.785179/fullhttps://doaj.org/toc/2673-2718Mass integration has been used for reducing the amount of process waste and environmental impact. Despite its long history, new challenges constantly arise with the use of process simulation tools offering platforms for rigorous process models. Therefore, the typical mass integration framework requires modifications to accurately account for the process performance. In this work, a novel sequential methodology is presented to realize a recycle network with rigorous process models. Initially, under the hypothesis of constant compositions of the process sources, an optimal ranking of the process sinks is determined. The optimal recycling network thus obtained is then used for a sequential methodology considering rigorous process models. The violations of process constraints are handled at each sequential step through the concept of “tightening constant”. The application of the sequential methodology to two case studies proves its ability to provide good approximations of the global optima with low computational effort.Filippo MarchioneKonrad HungerbuehlerStavros PapadokonstantakisFrontiers Media S.A.articleprocess integrationprocess simulationpreemptive goal programmingnonlinear optimizationAspen Plus simulationTechnologyTChemical technologyTP1-1185ENFrontiers in Chemical Engineering, Vol 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	process integration process simulation preemptive goal programming nonlinear optimization Aspen Plus simulation Technology T Chemical technology TP1-1185
spellingShingle	process integration process simulation preemptive goal programming nonlinear optimization Aspen Plus simulation Technology T Chemical technology TP1-1185 Filippo Marchione Konrad Hungerbuehler Stavros Papadokonstantakis Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling
description	Mass integration has been used for reducing the amount of process waste and environmental impact. Despite its long history, new challenges constantly arise with the use of process simulation tools offering platforms for rigorous process models. Therefore, the typical mass integration framework requires modifications to accurately account for the process performance. In this work, a novel sequential methodology is presented to realize a recycle network with rigorous process models. Initially, under the hypothesis of constant compositions of the process sources, an optimal ranking of the process sinks is determined. The optimal recycling network thus obtained is then used for a sequential methodology considering rigorous process models. The violations of process constraints are handled at each sequential step through the concept of “tightening constant”. The application of the sequential methodology to two case studies proves its ability to provide good approximations of the global optima with low computational effort.
format	article
author	Filippo Marchione Konrad Hungerbuehler Stavros Papadokonstantakis
author_facet	Filippo Marchione Konrad Hungerbuehler Stavros Papadokonstantakis
author_sort	Filippo Marchione
title	Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling
title_short	Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling
title_full	Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling
title_fullStr	Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling
title_full_unstemmed	Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling
title_sort	mass integration for rigorous process modelling: a sequential approach for direct recycling
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/264e2f5f10674c368726ddbae28d9059
work_keys_str_mv	AT filippomarchione massintegrationforrigorousprocessmodellingasequentialapproachfordirectrecycling AT konradhungerbuehler massintegrationforrigorousprocessmodellingasequentialapproachfordirectrecycling AT stavrospapadokonstantakis massintegrationforrigorousprocessmodellingasequentialapproachfordirectrecycling
_version_	1718403665173151744

Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling

Ejemplares similares