Transport phenomena in environmental engineering

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Aleksandra Sander ◽  
Jasna Prlić Kardum ◽  
Gordana Matijašić ◽  
Krunoslav Žižek

Abstract A term transport phenomena arises as a second paradigm at the end of 1950s with high awareness that there was a strong need to improve the scoping of chemical engineering science. At that point, engineers became highly aware that it is extremely important to take step forward from pure empirical description and the concept of unit operations only to understand the specific process using phenomenological equations that rely on three elementary physical processes: momentum, energy and mass transport. This conceptual evolution of chemical engineering was first presented with a well-known book of R. Byron Bird, Warren E. Stewart and Edwin N. Lightfoot, Transport Phenomena, published in 1960 [1]. What transport phenomena are included in environmental engineering? It is hard to divide those phenomena through different engineering disciplines. The core is the same but the focus changes. Intention of the authors here is to present the transport phenomena that are omnipresent in treatment of various process streams. The focus in this chapter is made on the transport phenomena that permanently occur in mechanical macroprocesses of sedimentation and filtration for separation in solid–liquid particulate systems and on the phenomena of the flow through a fixed and a fluidized bed of particles that are immanent in separation processes in packed columns and in environmental catalysis. The fundamental phenomena for each thermal and equilibrium separation process technology are presented as well. Understanding and mathematical description of underlying transport phenomena result in scoping the separation processes in a way that ChEs should act worldwide.

2007 ◽  
Vol 7 (1 & 2) ◽  
pp. 8
Author(s):  
Reza Barzin ◽  
Syamsul Rizal Abd Shukor ◽  
Abdul Latif Ahmad

Process intensification (PI) is currently one of the most significant trends in chemical engineering and process technology. PI is a strategy of making dramatic reductions in the size of unit operations within chemical plants, in order to achieve production objectives. PI technology is able to change dramatically the whole chemical engineering industry pathway to a faster, cleaner and safer industry. Nonetheless, PI technology will be handicapped if such system is not properly controlled. There are some foreseeable problems in order to control such processes for instance, dynamic interaction between components that make up a control loop, response time of the instrumentations, availability of proper sensor and etc. This paper offers an overview and discussion on identifying potential problems of controlling intensified systems.


2018 ◽  
Vol 28 (4) ◽  
Author(s):  
Reynerio Álvarez-Borroto ◽  
Ullrich Stahl ◽  
Elvia V. Cabrea-Maldonado ◽  
Marco V. Rosero-Espín

<strong></strong>James Wei, profesor del «Department of Chemical Engineering-MIT» empleó el concepto de paradigma en 1988, introducido por T. Kuhn, para caracterizar las etapas evolutivas de la ingeniería química. Wei identificó 3 períodos: el preparadigmático, un primer paradigma que lo relaciona con la publicación del texto Principles of Chemical Engineering, y un segundo paradigma asociado al texto: Transport Phenomena, de Bird, Stewart and Lightfoot, en 1960. Los paradigmas de Wei son reduccionistas y limitados y deben ser ampliados y actualizados. En el presente trabajo se identifican 3 etapas: el preparadigmático, el paradigma de las operaciones unitarias, y el paradigma de la ciencia de la ingeniería química. Se hace referencia a las nuevas fronteras de la ingeniería química y a la necesidad de incluir nuevas disciplinas académicas y nuevas técnicas de enseñanza-aprendizaje.


1996 ◽  
Vol 61 (2) ◽  
pp. 242-258 ◽  
Author(s):  
Vladimír Kudrna ◽  
Libor Vejmola ◽  
Pavel Hasal

Recently developed stochastic model of a one-dimensional flow-through chemical reactor is extended in this paper also to the non-isothermal case. The model enables the evaluation of concentration and temperature profiles along the reactor. The results are compared with the commonly used one-dimensional dispersion model with Danckwerts' boundary conditions. The stochastic model also enables to evaluate a value of the segregation index.


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