Publication
Nonlinear model predictive control for hydrogen production in an ethanol steam reformer with membrane separation
Conference Article
Conference
IEEE Multi-Conference on Systems and Control (MSC)
Edition
2016
Pages
1155-1160
Doc link
http://dx.doi.org/10.1109/CCA.2016.7587962
File
Abstract
This paper presents a new Nonlinear Model Predictive Control (NMPC) design for an Ethanol Steam Reformer with Pd-Ag membrane separation stage. The reformer is used to produce pure hydrogen able to feed a Proton Exchange Membrane Fuel Cell. Mass and energy balances are used to obtain the nonlinear dynamic model of both the reforming and the separation stages. Constraints, system nonlinearities and flexible cost function are the main reasons to select an NMPC controller, which is tested against the ordinary differential equations as simulation model, and has an internal model based on the sample data technique.
Categories
automation, control theory, optimisation.
Author keywords
Ethanol reformers, model predictive control, nonlinear systems, hydrogen-based technologies
Scientific reference
E. Pérez, M. Serra, C. Ocampo-Martínez and J. Llorca. Nonlinear model predictive control for hydrogen production in an ethanol steam reformer with membrane separation, 2016 IEEE Multi-Conference on Systems and Control, 2016, Buenos Aires, Argentina, pp. 1155-1160.
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