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Development of an irradiation and kinetic model for UV processes in volatile organic compounds abatement applications
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.ORCID iD: 0000-0002-6326-4084
2018 (English)In: Chemical Engineering Journal, ISSN 1385-8947, E-ISSN 1873-3212, Vol. 348, p. 569-582Article in journal (Refereed) Published
Abstract [en]

Air pollution from volatile organic compounds (VOCs) is one of the most important environmental hazards. Advanced oxidation processes (AOPs) with UV systems have been showing high potential for the abatement of VOCs. This work is aimed at modeling UV reactors for scaling-up AOPs from lab-scale to full-scale. The proposed model has a novel approach coupling the UV fluence rate to the photo-kinetic mechanism, for a robust understanding of the phenomena involved. The results show that the 185 nm wavelength is deeply absorbed within few centimeters by oxygen, while the 254 nm wavelength is weakly absorbed by the ozone generated in the reactor. Based on the fluence rate calculations, the reactions of ozone generation and depletion were modeled. The ozone net concentration was compared to the experimental results, for model verification. The model accurately predicts the effect of the airflow rate and reactor diameter for the tested cases. The acetaldehyde oxidation reaction was modeled using a simplified kinetic mechanism, using the experimental data of VOC conversion for a further model verification. The suggested reactor models accurately predicted the effect of airflow rate, while exhibiting limitations for the effect of different reactor diameters. Therefore, a computational fluid dynamics (CFD) investigation is needed for an accurate modeling of the VOCs oxidation reaction, implementing the developed analytical expression for reducing the computational workload. By combining the developed model with a CFD simulator, it would be possible to simulate several reactors, also at full-scale, for predicting their performance and identifying optimal configurations.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 348, p. 569-582
Keywords [en]
Air treatment, AOPs, Reaction modeling, Reactor scale-up, UV irradiation, VOCs abatement
National Category
Chemical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-228697DOI: 10.1016/j.cej.2018.05.009ISI: 000434467000056Scopus ID: 2-s2.0-85046649604OAI: oai:DiVA.org:kth-228697DiVA, id: diva2:1210987
Funder
Mistra - The Swedish Foundation for Strategic Environmental Research
Note

QC 20180530

Available from: 2018-05-30 Created: 2018-05-30 Last updated: 2018-08-18Bibliographically approved
In thesis
1. Process Optimization of UV-Based Advanced Oxidation Processes in VOC Removal Applications
Open this publication in new window or tab >>Process Optimization of UV-Based Advanced Oxidation Processes in VOC Removal Applications
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Air pollution is a major concern in developed countries due to its hazardous health effects. Recent studies by the WHO (World Health Organization) estimate that urban air pollution causes a number of diseases of the respiratory tract and is associated with 150,000 deaths each year. Volatile organic compounds (VOCs) are among the major pollutants affecting the outdoor air quality. Given that industrial processes are the main source of atmospheric VOC emissions, national and international authorities have issued regulations to limit such emissions. However, traditional removal technologies such as incineration, have low energy efficiency and high investment costs. AOPs (advanced oxidation processes) offer a promising alternative in which very reactive conditions can be achieved at room temperature, thus greatly increasing energy efficiency. However, this is still not a mature technology due to challenges that limit the range of applications.

This thesis focuses on two types of UV-based AOP: photocatalysis and UV-ozone. The goal is to improve VOC conversion and achieve a process that is competitive with traditional technologies. The research on photocatalysis presents an innovative UV reactor design that is closer to industrial conditions and has the ability to effectively screen different samples. Effort was put into finding a metallic support for the photocatalyst without using additional adhesives. Several electrochemical treatments were performed on metals to restructure the surface. One treatment proved to be superior when it came to stabilizing the TiO2 coating, especially when compared with the traditional ceramic support.

Research on UV-ozone AOPs focused on reactor modelling, developing a numerical and a fluid dynamics model. The goal was to gain a deep understanding of the governing phenomena of UV-ozone reactors so as to optimize the reactor configuration. The numerical model created described the UV irradiation and the reaction kinetics accurately, while a computational fluid dynamics (CFD) simulator modelled the fluid a larger scale, simulating two prototypes. The work resulted in general guidelines for the design of UV-ozone UV reactors as well as for full-scale units. 

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2018. p. 92
Series
TRITA-CBH-FOU ; 2018:35
Keywords
AOP, UV, photocatalysis, ozone, air pollution, VOC abatement, reactor design, reactor modelling, photocatalyst support, electrochemical treatment, electrochemical etching, irradiation modelling, kinetics modelling, fluid dynamics simulation, prototype, full-scale, CFD simulation
National Category
Chemical Process Engineering
Research subject
Chemical Engineering
Identifiers
urn:nbn:se:kth:diva-233386 (URN)978-91-7729-911-0 (ISBN)
Public defence
2018-09-28, Kollegiesalen, Brinellvägen 8, Stockholm, 10:00 (English)
Opponent
Supervisors
Funder
Mistra - The Swedish Foundation for Strategic Environmental Research, MI15.14
Note

QC 20180820

Available from: 2018-08-20 Created: 2018-08-18 Last updated: 2018-08-20Bibliographically approved

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Montecchio, FrancescoEngvall, Klas

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