Identification and Model Predictive Control (MPC) of Aqueous Polyvinyl Alcohol Degradation in UV/H2O2 Photochemical Reactors

Hamad, Dina; Dhib, Ramdhane; Mehrvar, Mehrab

doi:10.1007/s10924-020-02031-z

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…Moreover, previous studies from our research group (Hamad et al, 2021;Shahwan et al, 2021) and other researchers (Lin and Lee, 2015) explored the kinetics and efficiency optimization of UV/H2O2 systems; the degradation of PVA exhibits a complex reaction mechanism associated with non-linear and nonstationary behavior driven by variability in operational parameters during actual operations. Yet, conventional proportional-integralderivative (PID) controllers are commonly implemented in simulation studies to develop the best-suited, cost-effective controller for UV/H2O2 systems.…”

Section: List Of Tablesmentioning

confidence: 99%

“…Then, a multi-variable, multi-modality system model similar to Hamad et al (2021) can further improve the controllability of the studied UV/H2O2 system. Additionally, a set-point lead-lag, reference filter, or weighting system can help optimize a compromise between set-point tracking and disturbance rejection.…”

Section: Recommendations For Future Workmentioning

confidence: 99%

“…However, the degradation of PVA in a UV/H2O2 process exhibits a complex reaction mechanism associated with non-linear and nonstationary behavior driven by variability in operational parameters. While previous studies from our research group (Hamad et al, 2021;Shahwan et al, 2021) explored the application of multivariate linear model predictive control of hydrogen peroxide residual and PVA degradation and graphical versus data-driven modeling of PVA degradation, respectively, this study seeks to find the feasibility of linear control for a non-linear process with process dynamics that possibly be linearly approximated.…”

Section: Introductionmentioning

confidence: 99%

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ARX and NARX Modeling and Control of a Continuous UV/H2O2 Photoreactor for the Aqueous PVA Degradation

Lin

2024

Preprint

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<p>Water-soluble polymers are commonly employed as additives in many manufacturing industries, raising the need to treat sewage contaminated with water-soluble polymers to prevent persistent pollutants from entering our environment. The advanced oxidation process (AOP) UV/H2O2 is great at non-selectively degrading organic, polymeric compounds. However, most of the available information came from our research group, and there exist many gaps in other previous studies. The first part of this study presents a comprehensive literature review, modeling, and development of a control strategy of the UV/H2O2 process in degrading water- soluble polyvinyl alcohol (PVA), a commonly used polymeric additive.</p> <p>The second part comprises the dynamic modeling using UV/H2O2 photoreactor identification. The input-output model development was performed using the linear AutoRegressive with eXogenous input (ARX), non-linear ARX (NARX), and Hammerstein-Wiener techniques sigmoid-network-based NARX produced the best representation of the process dynamics. The design of PID controllers tuned using ARX and sigmoid-network-based NARX models is discussed, and the controller performance is analyzed for set-point tracking and disturbance rejection. The closed-loop response of ARX-PID and NARX-PID are deemed adequate. The NARX-PID seems more suitable for the studied process, whereas the ARX-PID has lower IAE and produces a more aggressive controlled output response, but it is robust in disturbance rejection. Thus, ARX-PID is adequate for frequent process disturbances but less for process set-point tracking.</p>

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Section: List Of Tablesmentioning

confidence: 99%

Section: Recommendations For Future Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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ARX and NARX Modeling and Control of a Continuous UV/H2O2 Photoreactor for the Aqueous PVA Degradation

Lin

2024

Preprint

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“…Hamad et al [73] studied the UV/H 2 O 2 process for PVA degradation as a multi-input multi-output (MIMO) system. In their study, process inputs were inlet feed flow rate (mL/min) and inlet H 2 O 2 concentration (mg/L), process outputs were residual H 2 O 2 (mg/L) and effluent total organic carbon (TOC) (mg/L), and disturbance was PVA concentration in the feed (mg/L).…”

Section: Modelling Aop-based Treatment Processesmentioning

confidence: 99%

Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments

Parsa,

Dhib,

Mehrvar

2024

Bioengineering

Self Cite

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This review emphasizes the significance of formulating control strategies for biological and advanced oxidation process (AOP)-based wastewater treatment systems. The aim is to guarantee that the effluent quality continuously aligns with environmental regulations while operating costs are minimized. It highlights the significance of understanding the dynamic behaviour of the process in developing effective control schemes. The most common process control strategies in wastewater treatment plants (WWTPs) are explained and listed. It is emphasized that the proper control scheme should be selected based on the process dynamic behaviour and control goal. This study further discusses the challenges associated with the control of wastewater treatment processes, including inadequacies in developed models, the limitations of most control strategies to the simulation stage, the imperative requirement for real-time data, and the financial and technical intricacies associated with implementing advanced controller hardware. It is discussed that the necessity of the availability of real-time data to achieve reliable control can be achieved by implementing proper, accurate hardware sensors in suitable locations of the process or by developing and implementing soft sensors. This study recommends further investigation on available actuators and the criteria for choosing the most appropriate one to achieve robust and reliable control in WWTPs, especially for biological and AOP-based treatment approaches.

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“…In fact, the diversity of biodegradable materials renders making generic, straightforward assessments of their end-oflife behaviour impossible. Although several studies have recently contributed to great advances in predicting the degradation potential and time of polymers in natural environments such as aquatic ecosystems [27][28][29][30], such forecasting is a highly complex task owing to the array of conditions-for example, temperature, pressure, pH, salinity, and presence of oxygen and microorganisms-that can differ widely between locations and even be influenced by season.…”

Section: Biodegradation Profilementioning

confidence: 99%

Biodegradable plastics in aquatic ecosystems: latest findings, research gaps, and recommendations

Ribba

Lopretti

Oca-Vásquez³

et al. 2022

Environ. Res. Lett.

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Plastic accumulation's negative impact on aquatic ecosystems is a known and undeniable problem. Much of the scientific community's efforts are focused on the effects of the most common commodity plastics, but the consequences of the so-called biodegradable plastics in these ecosystems have been little discussed. Although their biodegradable characteristic generates the widespread belief that they are harmless to the environment, it has been proven many years ago that this property cannot be taken lightly. The material´s end-of-life fate is critical to classify it as biodegradable or not. In this context, many plastics classified as biodegradable do not meet the requirements of norms and standards to be considered biodegradable in aquatic ecosystems. Furthermore, during the last five years, the scientific community has shown that they can give rise to the formation of bio-microplastics during their degradation, which can have similar effects to those of conventional microplastics or even worse. This review will detail all recent information regarding how biodegradable plastics can influence aquatic ecosystems, causing adverse health effects in living beings or acting as vectors of chemical pollutants. Besides, the key points that must be addressed in greater depth will be identified, including the need to consider a greater variety of biodegradable plastics and develop systematic methods that allow quantifying and identifying the remains of these pollutants in living species. Another aspect to consider is the dynamics of arrival and mobilization of microplastics in the oceans. It should be studied how small animals fed by filterings, such as red crabs and other zooplankton organisms, move the microplastic through the water column and get into food webs. These particles are mistakenly ingested by the number of species at different trophic levels, where bioaccumulation in tissues must be considered a toxicity factor. Finally, a series of recommendations and future perspectives will be listed.

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Identification and Model Predictive Control (MPC) of Aqueous Polyvinyl Alcohol Degradation in UV/H2O2 Photochemical Reactors

Cited by 8 publications

References 21 publications

ARX and NARX Modeling and Control of a Continuous UV/H2O2 Photoreactor for the Aqueous PVA Degradation

ARX and NARX Modeling and Control of a Continuous UV/H2O2 Photoreactor for the Aqueous PVA Degradation

Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments

Biodegradable plastics in aquatic ecosystems: latest findings, research gaps, and recommendations

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