Development of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes

It is a well-established fact that activated sludge Wastewater Treatment Plants (WWTP) are placed among the most significant contributors of Greenhouse Gas (GHG) emissions. The task of intelligent emission control of such plants is a great challenge, mainly due to the highly nonlinear dynamics and a...

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Autores principales:	Marios Gkionis, Athanasios I. Papadopoulos, Wenhao Shen, Panos Seferlis
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/59249ea9921c42a38b9c62093b012045
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spelling	oai:doaj.org-article:59249ea9921c42a38b9c62093b0120452021-11-15T21:47:26ZDevelopment of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes10.3303/CET21881602283-9216https://doaj.org/article/59249ea9921c42a38b9c62093b0120452021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11953https://doaj.org/toc/2283-9216It is a well-established fact that activated sludge Wastewater Treatment Plants (WWTP) are placed among the most significant contributors of Greenhouse Gas (GHG) emissions. The task of intelligent emission control of such plants is a great challenge, mainly due to the highly nonlinear dynamics and associated uncertainty of its constituent bioprocesses. The need for more efficient and environmentally conscious control is ever increasing, due to the upsurge of industrial and urban water usage. In the current work, a nonlinear Model Predictive Control (MPC) scheme that considers an activated sludge model is developed for pulp and paper industry. The nonlinear MPC employs a flexible controller input structure through a process superstructure formulation that enables the adaptive utilisation of the most suitable set of manipulated variables based on the prevailing operating conditions. A generalised framework of this flexible controller type along with a nonlinear dynamic model for the plant accounting for the simultaneous satisfaction of stringent control objectives on the effluent quality and the GHG minimisation is developed. The proposed controller incorporates manipulated variables for all admissible aeration intensities, internal flow recirculation streams, external carbon sources, influent flow distribution in each bioprocessing unit, unit volume variations and recirculation flow percentage. Accurate simulations indicate the achievement of a superior emission reduction performance compared to state-of-the-art MPC implementations in WWTP. Every consideration of a manipulated variable set is associated with respect to its contribution to the total GHG reduction for each mode of operation.Marios GkionisAthanasios I. PapadopoulosWenhao ShenPanos SeferlisAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Marios Gkionis Athanasios I. Papadopoulos Wenhao Shen Panos Seferlis Development of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes
description	It is a well-established fact that activated sludge Wastewater Treatment Plants (WWTP) are placed among the most significant contributors of Greenhouse Gas (GHG) emissions. The task of intelligent emission control of such plants is a great challenge, mainly due to the highly nonlinear dynamics and associated uncertainty of its constituent bioprocesses. The need for more efficient and environmentally conscious control is ever increasing, due to the upsurge of industrial and urban water usage. In the current work, a nonlinear Model Predictive Control (MPC) scheme that considers an activated sludge model is developed for pulp and paper industry. The nonlinear MPC employs a flexible controller input structure through a process superstructure formulation that enables the adaptive utilisation of the most suitable set of manipulated variables based on the prevailing operating conditions. A generalised framework of this flexible controller type along with a nonlinear dynamic model for the plant accounting for the simultaneous satisfaction of stringent control objectives on the effluent quality and the GHG minimisation is developed. The proposed controller incorporates manipulated variables for all admissible aeration intensities, internal flow recirculation streams, external carbon sources, influent flow distribution in each bioprocessing unit, unit volume variations and recirculation flow percentage. Accurate simulations indicate the achievement of a superior emission reduction performance compared to state-of-the-art MPC implementations in WWTP. Every consideration of a manipulated variable set is associated with respect to its contribution to the total GHG reduction for each mode of operation.
format	article
author	Marios Gkionis Athanasios I. Papadopoulos Wenhao Shen Panos Seferlis
author_facet	Marios Gkionis Athanasios I. Papadopoulos Wenhao Shen Panos Seferlis
author_sort	Marios Gkionis
title	Development of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes
title_short	Development of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes
title_full	Development of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes
title_fullStr	Development of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes
title_full_unstemmed	Development of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes
title_sort	development of a nonlinear model predictive controller of flexible structure for greenhouse gas emissions minimisation in pulp and paper wastewater treatment processes
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/59249ea9921c42a38b9c62093b012045
work_keys_str_mv	AT mariosgkionis developmentofanonlinearmodelpredictivecontrollerofflexiblestructureforgreenhousegasemissionsminimisationinpulpandpaperwastewatertreatmentprocesses AT athanasiosipapadopoulos developmentofanonlinearmodelpredictivecontrollerofflexiblestructureforgreenhousegasemissionsminimisationinpulpandpaperwastewatertreatmentprocesses AT wenhaoshen developmentofanonlinearmodelpredictivecontrollerofflexiblestructureforgreenhousegasemissionsminimisationinpulpandpaperwastewatertreatmentprocesses AT panosseferlis developmentofanonlinearmodelpredictivecontrollerofflexiblestructureforgreenhousegasemissionsminimisationinpulpandpaperwastewatertreatmentprocesses
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Development of a Nonlinear Model Predictive Controller of Flexible Structure for Greenhouse Gas Emissions Minimisation in Pulp and Paper Wastewater Treatment Processes

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