Application of the modeling and simulation environment ProMoT/Diva to the modeling of distillation processes

Tränkle, Frank; Gerstlauer, Andreas; Zeitz, Μ.; Gilles, Ernst Dieter

doi:10.1016/s0098-1354(97)87607-7

Cited by 4 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modelling of traditional separation methods such as distillation is widely researched in literature [ 20 , 21 ]. The research field of distillation is heavily based on the vapour–liquid equilibrium (hence VLE).…”

Section: Methodsmentioning

confidence: 99%

Improvement of Component Flux Estimating Model for Pervaporation Processes

Szilágyi

Toth

2020

Membranes

View full text Add to dashboard Cite

Separating non-ideal mixtures by pervaporation (hence PV) is a competitive alternative to most traditional methods, such as distillation, which are based on the vapour–liquid equilibrium (VLE). It must be said, in many cases, accurate VLE data are already well known in the literature. They make the method of PV modelling a lot more complicated, and most of the viable models are (semi)empirical and focus on component flux (Ji) estimation. The pervaporation model of Mizsey and Valentinyi, which is based on Rautenbach’s works, is further improved in this work and tested rigorously by statistical means. Until now, this type of exponential modelling was only used for alcohol–water mixtures, but in this work, it was extended to an ethyl acetate–water binary mixture as well. Furthermore, a flowchart of modelling is presented for the first time in the case of an exponential pervaporation model. The results of laboratory-scale experiments were used as the basis of the study and least squares approximation was used to compare them to the different model’s estimations. According to our results, Valentinyi’s model (Model I) and the alternative model (Model III) appear to be the best methods for PV modelling, and there is no significant difference between the models, mainly in organophilic cases. In the case of the permeation component, Model I, which better follows the exponential function, is recommended. It is important to emphasize that our research confirms that the exponential type model seems to be universally feasible for most organic–water binary mixtures. Another novelty of the work is that after PDMS and PVA-based membranes, the accuracy of the semiempirical model for the description of water flux on a PEBA-based membrane was also proved, in the organophilic case.

show abstract

Section: Methodsmentioning

confidence: 99%

Improvement of Component Flux Estimating Model for Pervaporation Processes

Szilágyi

Toth

2020

Membranes

View full text Add to dashboard Cite

show abstract

“…In order to simulate the dynamics of the crude oil unit with decoupler and online control structure we used DIVA (Dynamische Simulation Verfahrenstechnischer Anlagen), developed at the Stuttgart University. More details on this versatile and powerful software can be found in the open literature [7][8][9][10][11][12].…”

Section: Plant Closed-loop Simulationsmentioning

confidence: 99%

Modern Dynamic Simulation of a Crude Oil Plant System�s Response when Closing the Side Products� Quality Control Loops

Rădulescu¹,

Dumitru²

2018

Rev. Chim.

View full text Add to dashboard Cite

A crude oil plant is treated as a classic unit for any refinery, due to its own place within the process streams, inner complexity, unexpected behavior and control task difficulty. Our previous works [1-6] show that, if a good and validated dynamic mathematical model exists for such a plant, many of the above-mentioned difficulties may be in a way overridden when studying and operating the plant. For that reason, after the process dynamic modeling, its open-loop representation validation and introduction of the dynamic decoupler for quality control loops, this article analyzes the side products� End Boiling Points closed-loop behavior (as an improved quality control to be performed).

show abstract

Integration of symbolic modelling within an equation based flowsheet package for steam pyrolysis

Goethem¹,

Verheijen

2013

Simulation Modelling Practice and Theory

View full text Add to dashboard Cite

Application of the modeling and simulation environment ProMoT/Diva to the modeling of distillation processes

Cited by 4 publications

References 9 publications

Improvement of Component Flux Estimating Model for Pervaporation Processes

Improvement of Component Flux Estimating Model for Pervaporation Processes

Modern Dynamic Simulation of a Crude Oil Plant System�s Response when Closing the Side Products� Quality Control Loops

Integration of symbolic modelling within an equation based flowsheet package for steam pyrolysis

Contact Info

Product

Resources

About