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A study, analysis and power management schemes for fuel cells

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  • Pachauri, Rupendra Kumar
  • Chauhan, Yogesh K.

Abstract

This paper presents a novel comparative study on fuel cells (FCs) technologies, its modeling and effect of important parameters on the performance of various types of fuel cells and power management schemes. Firstly, this paper presents a comprehensive review of various FCs technologies with their working principle, efficiency, operating parameters, advantages/disadvantages and applications. Secondly, the mathematical analysis of various FCs has been investigated, which is required for MATLAB simulation of FCs. The influences of various operating parameters such as temperature, reactant flow pressure and membrane resistance are considered to investigate the dynamic behavior of FCs. Thirdly, various control schemes of power management e.g., current, voltage, power and reactants flow pressure based control schemes are proposed with simple and easy to implement PI controller for a phosphoric acid fuel cell (PAFC) operation in this paper. These control mechanisms can be utilized for power management schemes. The proposed model of PAFC along with these control schemes is realized in the MATLAB/Simulink environment. The performance of a PAFC system along with these proposed control is found to be satisfactory even under dynamic conditions. The study can be broadly helpful to select and set the various parameters for the development of a FC based application.

Suggested Citation

  • Pachauri, Rupendra Kumar & Chauhan, Yogesh K., 2015. "A study, analysis and power management schemes for fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1301-1319.
    • Handle: RePEc:eee:rensus:v:43:y:2015:i:c:p:1301-1319
    DOI: 10.1016/j.rser.2014.11.098
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    References listed on IDEAS

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    1. Ascoli, A. & Pandya, J.D. & Redaelli, G., 1989. "Electrical characterization of a 2.5 kW phosphoric acid fuel cell stack operating on simulated reformed biogas," Energy, Elsevier, vol. 14(12), pages 875-878.
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    2. Benmouna, A. & Becherif, M. & Boulon, L. & Dépature, C. & Ramadan, Haitham S., 2021. "Efficient experimental energy management operating for FC/battery/SC vehicles via hybrid Artificial Neural Networks-Passivity Based Control," Renewable Energy, Elsevier, vol. 178(C), pages 1291-1302.
    3. Zhang, Tie-qing & Malik, Fawad Rahim & Jung, Seunghun & Kim, Young-Bae, 2022. "Hydrogen production and temperature control for DME autothermal reforming process," Energy, Elsevier, vol. 239(PA).
    4. Luca Del Zotto & Andrea Monforti Ferrario & Arda Hatunoglu & Alessandro Dell’Era & Stephen McPhail & Enrico Bocci, 2021. "Experimental Procedures & First Results of an Innovative Solid Oxide Fuel Cell Test Rig: Parametric Analysis and Stability Test," Energies, MDPI, vol. 14(8), pages 1-19, April.

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