Publication

Parameters affecting thermal risk through a kinetic model under adiabatic condition: Application to liquid-liquid reaction system

Thierry Meyer
2018
Journal paper
Abstract

Risk of thermal runaway for epoxidation is not negligible and should be analyzed and assessed. In industry, epoxidation of vegetable oils is carried out by the oxidation of Prileschajew, involving the in situ production of percarboxylic acid from hydrogen peroxide and the corresponding carboxylic acid. Different research groups have developed kinetic models under isothermal or isoperibolic mode for this liquid-liquid reaction system. Nevertheless, none of them have built a kinetic model under adiabatic mode. Such kinetic model under adiabatic condition is important to evaluate the thermal risk of a process. During this study, a kinetic model was built for the epoxidation of cottonseed oil by peracetic acid by using ARSST system, which works under near-adiabatic condition. This kinetic model can fit the experimental reaction temperature. Then, based on this model, the influence of different inlet parameters (i.e. initial temperature and concentrations) on safety parameters, i.e., Time-to-Maximum rate under adiabatic conditions and adiabatic temperature rise was investigated.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related concepts (33)
Adiabatic theorem
The adiabatic theorem is a concept in quantum mechanics. Its original form, due to Max Born and Vladimir Fock (1928), was stated as follows: A physical system remains in its instantaneous eigenstate if a given perturbation is acting on it slowly enough and if there is a gap between the eigenvalue and the rest of the Hamiltonian's spectrum. In simpler terms, a quantum mechanical system subjected to gradually changing external conditions adapts its functional form, but when subjected to rapidly varying conditions there is insufficient time for the functional form to adapt, so the spatial probability density remains unchanged.
Adiabatic process
In thermodynamics, an adiabatic process (Greek: adiábatos, "impassable") is a type of thermodynamic process that occurs without transferring heat or mass between the thermodynamic system and its environment. Unlike an isothermal process, an adiabatic process transfers energy to the surroundings only as work. As a key concept in thermodynamics, the adiabatic process supports the theory that explains the first law of thermodynamics. Some chemical and physical processes occur too rapidly for energy to enter or leave the system as heat, allowing a convenient "adiabatic approximation".
Geometric phase
In classical and quantum mechanics, geometric phase is a phase difference acquired over the course of a cycle, when a system is subjected to cyclic adiabatic processes, which results from the geometrical properties of the parameter space of the Hamiltonian. The phenomenon was independently discovered by S. Pancharatnam (1956), in classical optics and by H. C. Longuet-Higgins (1958) in molecular physics; it was generalized by Michael Berry in (1984). It is also known as the Pancharatnam–Berry phase, Pancharatnam phase, or Berry phase.
Show more
Related publications (34)

Revisiting the concept of extents for chemical reaction systems using an enthalpy balance

Dominique Bonvin, Diogo Filipe Mateus Rodrigues

For the investigation of complex reaction systems, it has been proposed to decouple the various rate processes using a linear time-invariant transformation that is constructed from knowledge of stoichiometry, reaction enthalpies, inlet compositions and tem ...
PERGAMON-ELSEVIER SCIENCE LTD2020

Investigation of the heterogeneously catalysed gas phase CO2 hydrogenation reaction: Development of analysis methods and reaction analysis on pristine metal catalysts

Robin Tobias Andreas Mutschler

The aim of this thesis is to contribute to the development of analysis methods that enable an improved investigation of the CO2 hydrogenation reaction such as quantitative mass spectrometry and infrared thermography. Furthermore, the contribution is in the ...
EPFL2019

Generation and Analysis of Large-Scale Dynamic Non-Linear Models of Metabolism

Vassily Hatzimanikatis, Ljubisa Miskovic, Georgios Fengos

Understanding complex responses of metabolic processes in biochemical systems requires the quantitative description of the dynamic interplay between metabolite levels, enzyme levels, and reaction rates. Generation and use of such models is hindered by the ...
2017
Show more
Related MOOCs (3)
Thermodynamics
Ce cours complète le MOOC « Thermodynamique : fondements » qui vous permettra de mettre en application les concepts fondamentaux de la thermodynamique. Pour atteindre cet objectif, le Professeur J.-P
Thermodynamics
Ce cours complète le MOOC « Thermodynamique : fondements » qui vous permettra de mettre en application les concepts fondamentaux de la thermodynamique. Pour atteindre cet objectif, le Professeur J.-P
A Resilient Future: Science and Technology for Disaster Risk Reduction
Learn how science and technology are helping reduce our risk of disasters.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.