Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances

Polyvinyl alcohol (PVA) is an emerging pollutant commonly found in industrial wastewater, owing to its extensive usage as an additive in the manufacturing industry. PVA’s popularity has made wastewater treatment technologies for PVA degradation a popular research topic in industrial wastewater treat...

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Autores principales:	Yi-Ping Lin, Ramdhane Dhib, Mehrab Mehrvar
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	process control process identification dynamic modeling polyvinyl alcohol advanced oxidation processes (AOPs) Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/9958bbabe5524ede97f861ff14f20c78
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spelling	oai:doaj.org-article:9958bbabe5524ede97f861ff14f20c782021-11-25T17:31:02ZRecent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances10.3390/environments81101162076-3298https://doaj.org/article/9958bbabe5524ede97f861ff14f20c782021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3298/8/11/116https://doaj.org/toc/2076-3298Polyvinyl alcohol (PVA) is an emerging pollutant commonly found in industrial wastewater, owing to its extensive usage as an additive in the manufacturing industry. PVA’s popularity has made wastewater treatment technologies for PVA degradation a popular research topic in industrial wastewater treatment. Although many PVA degradation technologies are studied in bench-scale processes, recent advancements in process optimization and control of wastewater treatment technologies such as advanced oxidation processes (AOPs) show the feasibility of these processes by monitoring and controlling processes to meet desired regulatory standards. These wastewater treatment technologies exhibit complex reaction mechanisms leading to nonlinear and nonstationary behavior related to variability in operational conditions. Thus, black-box dynamic modeling is a promising tool for designing control schemes since dynamic modeling is more complicated in terms of first principles and reaction mechanisms. This study seeks to provide a survey of process control methods via a comprehensive review focusing on PVA degradation methods, including biological and advanced oxidation processes, along with their reaction mechanisms, control-oriented dynamic modeling (i.e., state-space, transfer function, and artificial neural network modeling), and control strategies (i.e., proportional-integral-derivative control and predictive control) associated with wastewater treatment technologies utilized for PVA degradation.Yi-Ping LinRamdhane DhibMehrab MehrvarMDPI AGarticleprocess controlprocess identificationdynamic modelingpolyvinyl alcoholadvanced oxidation processes (AOPs)Environmental technology. Sanitary engineeringTD1-1066ENEnvironments, Vol 8, Iss 116, p 116 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	process control process identification dynamic modeling polyvinyl alcohol advanced oxidation processes (AOPs) Environmental technology. Sanitary engineering TD1-1066
spellingShingle	process control process identification dynamic modeling polyvinyl alcohol advanced oxidation processes (AOPs) Environmental technology. Sanitary engineering TD1-1066 Yi-Ping Lin Ramdhane Dhib Mehrab Mehrvar Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances
description	Polyvinyl alcohol (PVA) is an emerging pollutant commonly found in industrial wastewater, owing to its extensive usage as an additive in the manufacturing industry. PVA’s popularity has made wastewater treatment technologies for PVA degradation a popular research topic in industrial wastewater treatment. Although many PVA degradation technologies are studied in bench-scale processes, recent advancements in process optimization and control of wastewater treatment technologies such as advanced oxidation processes (AOPs) show the feasibility of these processes by monitoring and controlling processes to meet desired regulatory standards. These wastewater treatment technologies exhibit complex reaction mechanisms leading to nonlinear and nonstationary behavior related to variability in operational conditions. Thus, black-box dynamic modeling is a promising tool for designing control schemes since dynamic modeling is more complicated in terms of first principles and reaction mechanisms. This study seeks to provide a survey of process control methods via a comprehensive review focusing on PVA degradation methods, including biological and advanced oxidation processes, along with their reaction mechanisms, control-oriented dynamic modeling (i.e., state-space, transfer function, and artificial neural network modeling), and control strategies (i.e., proportional-integral-derivative control and predictive control) associated with wastewater treatment technologies utilized for PVA degradation.
format	article
author	Yi-Ping Lin Ramdhane Dhib Mehrab Mehrvar
author_facet	Yi-Ping Lin Ramdhane Dhib Mehrab Mehrvar
author_sort	Yi-Ping Lin
title	Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances
title_short	Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances
title_full	Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances
title_fullStr	Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances
title_full_unstemmed	Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances
title_sort	recent advances in dynamic modeling and process control of pva degradation by biological and advanced oxidation processes: a review on trends and advances
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9958bbabe5524ede97f861ff14f20c78
work_keys_str_mv	AT yipinglin recentadvancesindynamicmodelingandprocesscontrolofpvadegradationbybiologicalandadvancedoxidationprocessesareviewontrendsandadvances AT ramdhanedhib recentadvancesindynamicmodelingandprocesscontrolofpvadegradationbybiologicalandadvancedoxidationprocessesareviewontrendsandadvances AT mehrabmehrvar recentadvancesindynamicmodelingandprocesscontrolofpvadegradationbybiologicalandadvancedoxidationprocessesareviewontrendsandadvances
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Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances

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