The Adjoint Method for Gradient-based Dynamic Optimization of UV Flash Processes

Tobias Kasper Skovborg Ritschel; Andrea Capolei; John Bagterp Jørgensen

doi:10.1016/B978-0-444-63965-3.50347-0

The Adjoint Method for Gradient-based Dynamic Optimization of UV Flash Processes

Tobias Kasper Skovborg Ritschel, Andrea Capolei, John Bagterp Jørgensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper presents a novel single-shooting algorithm for gradient-based solution of optimal control problems with vapor-liquid equilibrium constraints. Dynamic optimization of UV flash processes is relevant in nonlinear model predictive control of distillation columns, certain two-phase flow problems, and oil reservoir production with significant compositional and thermal effects. Gradients are computed with the adjoint method and we use various optimization software (fmincon, IPOPT, KNITRO, and NPSOL) for the numerical optimization. We present computational results for a non-ideal five-component flash process which demonstrate the importance of the optimization solver, the compiler, and the linear algebra software for the efficiency of dynamic optimization of UV flash processes.

Original language	English
Title of host publication	Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27
Volume	40
Publisher	Elsevier
Publication date	2017
Pages	2071-2076
DOIs	https://doi.org/10.1016/B978-0-444-63965-3.50347-0
Publication status	Published - 2017
Event	27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain Duration: 1 Oct 2017 → 5 Oct 2017 Conference number: 27 https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Conference

Conference	27th European Symposium on Computer Aided Process Engineering
Number	27
Country/Territory	Spain
City	Barcelona
Period	01/10/2017 → 05/10/2017
Internet address	https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Series	Computer Aided Chemical Engineering
ISSN	1570-7946

Keywords

Optimization
Optimal Control
Differential-Algebraic Equations
Vapor Liquid Equilibrium

Access to Document

10.1016/B978-0-444-63965-3.50347-0

OpenUrl availability

Full text

Cite this

@inproceedings{0d158446dadb49c0848edd566c2aaa8e,

title = "The Adjoint Method for Gradient-based Dynamic Optimization of UV Flash Processes",

abstract = "This paper presents a novel single-shooting algorithm for gradient-based solution of optimal control problems with vapor-liquid equilibrium constraints. Dynamic optimization of UV flash processes is relevant in nonlinear model predictive control of distillation columns, certain two-phase flow problems, and oil reservoir production with significant compositional and thermal effects. Gradients are computed with the adjoint method and we use various optimization software (fmincon, IPOPT, KNITRO, and NPSOL) for the numerical optimization. We present computational results for a non-ideal five-component flash process which demonstrate the importance of the optimization solver, the compiler, and the linear algebra software for the efficiency of dynamic optimization of UV flash processes.",

keywords = "Optimization, Optimal Control, Differential-Algebraic Equations, Vapor Liquid Equilibrium",

author = "Ritschel, {Tobias Kasper Skovborg} and Andrea Capolei and J{\o}rgensen, {John Bagterp}",

year = "2017",

doi = "10.1016/B978-0-444-63965-3.50347-0",

language = "English",

volume = "40",

series = "Computer Aided Chemical Engineering",

publisher = "Elsevier",

pages = "2071--2076",

booktitle = "Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27",

address = "United Kingdom",

note = "27th European Symposium on Computer Aided Process Engineering, ESCAPE 27 ; Conference date: 01-10-2017 Through 05-10-2017",

url = "https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3",

}

Ritschel, TKS, Capolei, A & Jørgensen, JB 2017, The Adjoint Method for Gradient-based Dynamic Optimization of UV Flash Processes. in Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27. vol. 40, Elsevier, Computer Aided Chemical Engineering, pp. 2071-2076, 27th European Symposium on Computer Aided Process Engineering, Barcelona, Spain, 01/10/2017. https://doi.org/10.1016/B978-0-444-63965-3.50347-0

The Adjoint Method for Gradient-based Dynamic Optimization of UV Flash Processes. / Ritschel, Tobias Kasper Skovborg; Capolei, Andrea; Jørgensen, John Bagterp.
Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27. Vol. 40 Elsevier, 2017. p. 2071-2076 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - The Adjoint Method for Gradient-based Dynamic Optimization of UV Flash Processes

AU - Ritschel, Tobias Kasper Skovborg

AU - Capolei, Andrea

AU - Jørgensen, John Bagterp

N1 - Conference code: 27

PY - 2017

Y1 - 2017

N2 - This paper presents a novel single-shooting algorithm for gradient-based solution of optimal control problems with vapor-liquid equilibrium constraints. Dynamic optimization of UV flash processes is relevant in nonlinear model predictive control of distillation columns, certain two-phase flow problems, and oil reservoir production with significant compositional and thermal effects. Gradients are computed with the adjoint method and we use various optimization software (fmincon, IPOPT, KNITRO, and NPSOL) for the numerical optimization. We present computational results for a non-ideal five-component flash process which demonstrate the importance of the optimization solver, the compiler, and the linear algebra software for the efficiency of dynamic optimization of UV flash processes.

AB - This paper presents a novel single-shooting algorithm for gradient-based solution of optimal control problems with vapor-liquid equilibrium constraints. Dynamic optimization of UV flash processes is relevant in nonlinear model predictive control of distillation columns, certain two-phase flow problems, and oil reservoir production with significant compositional and thermal effects. Gradients are computed with the adjoint method and we use various optimization software (fmincon, IPOPT, KNITRO, and NPSOL) for the numerical optimization. We present computational results for a non-ideal five-component flash process which demonstrate the importance of the optimization solver, the compiler, and the linear algebra software for the efficiency of dynamic optimization of UV flash processes.

KW - Optimization

KW - Optimal Control

KW - Differential-Algebraic Equations

KW - Vapor Liquid Equilibrium

U2 - 10.1016/B978-0-444-63965-3.50347-0

DO - 10.1016/B978-0-444-63965-3.50347-0

M3 - Article in proceedings

VL - 40

T3 - Computer Aided Chemical Engineering

SP - 2071

EP - 2076

BT - Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27

PB - Elsevier

T2 - 27th European Symposium on Computer Aided Process Engineering

Y2 - 1 October 2017 through 5 October 2017

ER -

The Adjoint Method for Gradient-based Dynamic Optimization of UV Flash Processes

Abstract

Conference

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this