Model Formulation and design of an efficient control algorithm for fuel cell power system
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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
4th International Conference on Power Engineering, Energy and Electrical Drives Istanbul, Turkey
Abstract
In this research work a Fuel cell based power
system is explicitly modeled and analyzed under the various
possible operating conditions. In order to ensure a reliable,
efficient, durable and cost effective operation, a control
system based on the management of air and fuel flow
regulations can be designed. Fuel cell systems produce clean
energy and they have got higher energy conversion
efficiencies as compared to Internal Combustion Engines
based power plants. In order to make this technology
economically viable, feed of the air and fuel, pressure
regulations, flow rates and the heat produced must be
optimally controlled. Oxygen depletion, during the transient
reactions is the major cause of low performance and
subsequent deteriorations. In order to overcome the stated
limitations, internal subsystem reactions are modeled
deliberately and examined carefully. Based on the
mathematical deductions and feedback control techniques,
optimal pressures and flow rates for hydrogen and oxygen
are selected. Breath control unit can be efficiently controlled
by using this model to avoid degradation. The output voltage
model is also delineated in terms of internal electrochemical
dynamics to confirm the maximum power gain by the
selected parameters. Results are also verified using
MATLAB/ Simulink tool. The Proposed methodology is
equally valid for both Polymer Electrolyte Membrane and
Solid Oxide Fuel Cells based power systems with some
modifications.
Description
Keywords
PEMFC, SOFC, Fuel Cell Power System, Breath Control Unit, Optimal Flow Rate
Citation
Nasir, M., Bhatti, A. A., & Toor, W. T. (2013). Model formulation and design of an efficient control algorithm for fuel cell power system. Paper presented at the Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on.