This work deals with the systematic design of the GReen Ethylene Glycol (GREG™) downstream process, currently under development at Biochemtex S.p.A. The GREG™ process produces bio-based glycols through the hydrogenation/hydrogenolysis catalytic conversion of 2nd generation C5 sugars. The aqueous liquid effluent from the catalytic reactor includes the target glycols along with mixed butanediols and heavy components. As a result, the bio-mixture has to be dehydrated and separated from the heavy cut to obtain market grade glycols. After these steps, a distillation sequence is required to get the main oxygenated chemicals at the desired purity. A systematic process design methodology is applied to the entire downstream process based on the formulation of a Generalized Disjunctive Programming problem. The solution of the reformulated MINLP optimization problem is approached with the Logic-Based Outer Approximation algorithm, coupling the simulation environment of PRO/II with the optimization environment of GAMS and C++. This optimization procedure selects the best technology, optimizes units’ topology, column design and operating parameters, and reduces the utility consumption by means of thermal integration.

Systematic Design of the Green Ethylene Glycol Downstream Process under the Generalized Disjunctive Programming Framework

MANENTI, FLAVIO;
2016

Abstract

This work deals with the systematic design of the GReen Ethylene Glycol (GREG™) downstream process, currently under development at Biochemtex S.p.A. The GREG™ process produces bio-based glycols through the hydrogenation/hydrogenolysis catalytic conversion of 2nd generation C5 sugars. The aqueous liquid effluent from the catalytic reactor includes the target glycols along with mixed butanediols and heavy components. As a result, the bio-mixture has to be dehydrated and separated from the heavy cut to obtain market grade glycols. After these steps, a distillation sequence is required to get the main oxygenated chemicals at the desired purity. A systematic process design methodology is applied to the entire downstream process based on the formulation of a Generalized Disjunctive Programming problem. The solution of the reformulated MINLP optimization problem is approached with the Logic-Based Outer Approximation algorithm, coupling the simulation environment of PRO/II with the optimization environment of GAMS and C++. This optimization procedure selects the best technology, optimizes units’ topology, column design and operating parameters, and reduces the utility consumption by means of thermal integration.
26TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT B
COMPUTER-AIDED CHEMICAL ENGINEERING
9780444634283
9780444634283
biorefinery; downstream; ethylene glycol; GDP; MINLP; Chemical Engineering (all); Computer Science Applications1707 Computer Vision and Pattern Recognition
File in questo prodotto:
File Dimensione Formato  
Corbetta.pdf

Accesso riservato

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 578.92 kB
Formato Adobe PDF
578.92 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1003023
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact