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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received May 20, 2020
Accepted August 25, 2020
Available online January 15, 2021

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Influencing Parameters on Supercritical Water Reactor Design for Phenol Oxidation

Maryam Akbari^{1 2} Morteza Nazaripour³ Alireza Bazargan⁴ Majid Bazargan^1†

¹Mechanical Engineering Department, K. N. Toosi University of Technology, 15 Pardis St., Mollasadra Ave., Tehran 1999143344, Iran ²Department of Mechanical Engineering, University of Alberta, 10-263 Donadeo Innovation Centre for Engineering, Edmonton, Alberta T6G 1H9, Canada ³Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran ⁴School of Environment, College of Engineering, University of Tehran, Iran

bazargan@kntu.ac.ir

Korean Chemical Engineering Research, February 2021, 59(1), 85-93(9)
https://doi.org/10.9713/kcer.2021.59.1.85

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Abstract

For accurate and reliable process design for phenol oxidation in a plug flow reactor with supercritical water, modeling can be very insightful. Here, the velocity and density distribution along the reactor have been predicted by a numerical model and variations of temperature and phenol mass fraction are calculated under various flow conditions. The numerical model shows that as we proceed along the length of the reactor the temperature falls from above 430 °C to approximately 380 °C. This is because the generated heat from the exothermic reaction is less that the amount lost through the walls of the reactor. Also, along the length, the linear velocity falls to less than one-third of the initial value while the density more than doubles. This is due to the fall in temperature which results in higher density which in turn demands a lower velocity to satisfy the continuity equation. Having a higher oxygen concentration at the reactor inlet leads to much faster phenol destruction; this leads to lower capital costs (shorter reactor will be required); however, the operational expenditures will increase for supplying the needed oxygen. The phenol destruction depends heavily on the kinetic parameters and can be as high as 99.9%. Using different kinetic parameters is shown to significantly influence the predicted distributions inside the reactor and final phenol conversion. These results demonstrate the importance of selecting kinetic parameters carefully particularly when these predictions are used for reactor design.

Keywords

Supercritical water oxidation Numerical modeling Plug flow reactor Advanced oxidation Reaction engineering

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