Multi-loop nonlinear predictive control scheme for a simplistic hybrid energy system

W. Wu; J. P. Xu; J. J. Hwang

doi:10.1016/j.ijhydene.2009.02.060

Multi-loop nonlinear predictive control scheme for a simplistic hybrid energy system

W. Wu, J. P. Xu, J. J. Hwang

Department of Chemical Engineering

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

40 Citations (Scopus)

Abstract

A simplistic hybrid energy system is composed of the wind turbine, electrolyzer, and PEM fuel cell stack. In view of the high current demand and fast load changes, the hybrid dynamic simulation shows that the fuel cell may be in risk of oxygen starvation and overheating problems. Regarding the safe operation as well as long lifetime of the fuel cell, the effective control manner is expected to regulate both the stack temperature and oxygen excess ratio in the cathode at the desired level. Under the multi-loop nonlinear predictive control framework, the controlled output variables are specified independently by manipulating air (oxygen) and water flowrates, respectively. The dynamic modeling and control implementation are realized in the Matlab-Simulink™ environment. Crown

Original language	English
Pages (from-to)	3953-3964
Number of pages	12
Journal	International Journal of Hydrogen Energy
Volume	34
Issue number	9
DOIs	https://doi.org/10.1016/j.ijhydene.2009.02.060
Publication status	Published - 2009 May 1

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
Fuel Technology
Condensed Matter Physics
Energy Engineering and Power Technology

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10.1016/j.ijhydene.2009.02.060

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abstract = "A simplistic hybrid energy system is composed of the wind turbine, electrolyzer, and PEM fuel cell stack. In view of the high current demand and fast load changes, the hybrid dynamic simulation shows that the fuel cell may be in risk of oxygen starvation and overheating problems. Regarding the safe operation as well as long lifetime of the fuel cell, the effective control manner is expected to regulate both the stack temperature and oxygen excess ratio in the cathode at the desired level. Under the multi-loop nonlinear predictive control framework, the controlled output variables are specified independently by manipulating air (oxygen) and water flowrates, respectively. The dynamic modeling and control implementation are realized in the Matlab-Simulink{\texttrademark} environment. Crown",

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AB - A simplistic hybrid energy system is composed of the wind turbine, electrolyzer, and PEM fuel cell stack. In view of the high current demand and fast load changes, the hybrid dynamic simulation shows that the fuel cell may be in risk of oxygen starvation and overheating problems. Regarding the safe operation as well as long lifetime of the fuel cell, the effective control manner is expected to regulate both the stack temperature and oxygen excess ratio in the cathode at the desired level. Under the multi-loop nonlinear predictive control framework, the controlled output variables are specified independently by manipulating air (oxygen) and water flowrates, respectively. The dynamic modeling and control implementation are realized in the Matlab-Simulink™ environment. Crown

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