Degradation Mechanism of PVA and Hec by Ozonation

Shin, Hyun-Suk; Yoo, Kyung Soo; Kwon, Joanne; Lee, C. Y.

doi:10.1080/09593332008616824

Cited by 8 publications

(3 citation statements)

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“…In contrast to Fenton oxidation, the foaming ability of PVA could trap ozone into the PVA molecules competing with the oxidation of PVA molecules and intermediates with lower molecular weights, such as alcohols, aldehydes, ketones, and acids (Cataldo and Angelini, 2006). Previous studies presented that ozone is more efficient under alkaline conditions (Shin et al, 1999). However, higher efficiency can be obtained using microbubble technology to enhance the yield of hydroxyl radicals (Takahashi et al, 2007).…”

Section: Ozonationmentioning

confidence: 99%

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: Ozonationmentioning

confidence: 99%

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

Lin

2024

Preprint

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“…In contrast to Fenton oxidation, the foaming ability of PVA could trap ozone into the PVA molecules competing with the oxidation of PVA molecules and intermediates with lower molecular weights, such as alcohols, aldehydes, ketones, and acids [35]. Previous studies presented that ozone is more efficient under alkaline conditions [34]. However, higher efficiency can be obtained using microbubble technology to enhance the yield of hydroxyl radicals [36].…”

Section: Ozonationmentioning

confidence: 99%

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

2021

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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.

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“…The main viscosity drop of PVA could be achieved at the ratio of one ozone molecule to more than 20 PVA sub-units. Shin et al (1999) reported that PVA could be removed completely in 20 min by ozonation. Moreover, PVA degradation was found to be more efficient under alkaline conditions compared to acidic conditions (Jing et al, 2008), which indicated that U OH radicals could accelerate PVA decomposition.…”

Section: Introductionmentioning

confidence: 98%