Dynamic optimization and robust explicit model predictive control of hydrogen storage tank

C. Panos; K.I. Kouramas; M.C. Georgiadis; E.N. Pistikopoulos

doi:10.1016/j.compchemeng.2010.02.018

Dynamic optimization and robust explicit model predictive control of hydrogen storage tank

C. Panos, K.I. Kouramas, M.C. Georgiadis, E.N. Pistikopoulos

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

We present a general framework for the optimal design and control of a metal-hydride bed under hydrogen desorption operation. The framework features: (i) a detailed two-dimension dynamic process model, (ii) a design and operational dynamic optimization step, and (iii) an explicit/multi-parametric model predictive controller design step. For the controller design, a reduced order approximate model is obtained, based on which nominal and robust multi-parametric controllers are designed. © 2010 Elsevier Ltd.

Original language	English (US)
Pages (from-to)	1341-1347
Number of pages	7
Journal	Computers & Chemical Engineering
Volume	34
Issue number	9
DOIs	https://doi.org/10.1016/j.compchemeng.2010.02.018
State	Published - Sep 2010
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The financial support of the European Project DIAMANTE (MTKI-CT-2005-IAP-029544), EPSRC (EP/E047017/1) and KAUST are kindly acknowledged.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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10.1016/j.compchemeng.2010.02.018

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title = "Dynamic optimization and robust explicit model predictive control of hydrogen storage tank",

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AU - Georgiadis, M.C.

AU - Pistikopoulos, E.N.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The financial support of the European Project DIAMANTE (MTKI-CT-2005-IAP-029544), EPSRC (EP/E047017/1) and KAUST are kindly acknowledged. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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N2 - We present a general framework for the optimal design and control of a metal-hydride bed under hydrogen desorption operation. The framework features: (i) a detailed two-dimension dynamic process model, (ii) a design and operational dynamic optimization step, and (iii) an explicit/multi-parametric model predictive controller design step. For the controller design, a reduced order approximate model is obtained, based on which nominal and robust multi-parametric controllers are designed. © 2010 Elsevier Ltd.

AB - We present a general framework for the optimal design and control of a metal-hydride bed under hydrogen desorption operation. The framework features: (i) a detailed two-dimension dynamic process model, (ii) a design and operational dynamic optimization step, and (iii) an explicit/multi-parametric model predictive controller design step. For the controller design, a reduced order approximate model is obtained, based on which nominal and robust multi-parametric controllers are designed. © 2010 Elsevier Ltd.

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Dynamic optimization and robust explicit model predictive control of hydrogen storage tank

Abstract

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