Hierarchical control of an integrated fuel processing and fuel cell system
|Author:||Ohenoja, Markku1; Ruusunen, Mika1; Leiviskä, Kauko1|
1Control Engineering, University of Oulu
|Online Access:||PDF Full Text (PDF, 2.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201902013884
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2019-02-01
An advanced model-based control method for the integrated fuel processing and a fuel cell system consisting of ethanol reforming, hydrogen purification, and a proton exchange membrane fuel cell is presented. For process identification, a physical model of the process chain was constructed. Subsequently, the simulated process was approximated with data-driven control models. Based on these control models, a hierarchical control framework consisting of model predictive controller and a global optimization algorithm was introduced. The performance of the new control method was evaluated with simulations. Results indicate that the new optimization concept enables resource efficient and fast control of the studied energy conversion process. Fast and efficient fuel cell process could then provide sustainable power source for autonomous and mobile applications in the future.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
215 Chemical engineering
This research was partly funded by the Academy of Finland through the project SEN2050 (grant number 287748).
|Academy of Finland Grant Number:||
287748 (Academy of Finland Funding decision)
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).