NDLI: Hydrogen generation/pressure enhancement using FC and ANN based MPPT assisted PV system

Content Provider	IEEE Xplore Digital Library
Author	Pachauri, Rupendra Kumar Chauhan, Yogesh K.
Copyright Year	2014
Description	Author affiliation: Electrical Engineering Department, School of Engineering, Gautam Buddha University, Greater Noida, India (Pachauri, Rupendra Kumar; Chauhan, Yogesh K.)
Abstract	In this paper, two systems based on renewable energy sources are considered for the generation of H2 by electrolysis process of water. A compressor system is used for enhancing the generated H2 pressure for both the considered systems. Firstly, a PEMFC is utilized for electrical power generation, and to drive the compressor system. Generated H2 pressure is again feed to PEMFC operation itself. The electrical power generated by PEMFC is used to assist the induction motor (IM) driven compressor system to enhance the H2 pressure. Secondly, an artificial neural network (ANN) based maximum power point tracking (MPPT) technique assisted solar photovoltaic (PV) system is utilized for the same purpose. The dynamic modeling of PEM fuel cell, MPPT assisted solar PV system, electrolyzer, H2 storage tank and compressor has been done by using MATLAB/Simulink environment. The performance of the PEMFC and solar PV power assisted induction motor driven H2 compressor system has been investigated in detail.
Starting Page	427
Ending Page	432
File Size	260558
Page Count	6
File Format	PDF
e-ISBN	9781479958719
DOI	10.1109/CIPECH.2014.7019117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum power point trackers Hydrogen storage Proton exchange membrane fuel cell (PEMFC) Renewable energy Hydrogen Artificial neural networks Computer architecture Green power generation Mathematical model MATLAB Electrolyzer Solar PV system
Content Type	Text
Resource Type	Article

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