Title :
Hydrogen generation/pressure enhancement using FC and ANN based MPPT assisted PV system
Author :
Pachauri, Rupendra Kumar ; Chauhan, Yogesh K.
Author_Institution :
Electr. Eng. Dept., Gautam Buddha Univ., Noida, India
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.
Keywords :
compressors; electrolysis; hydrogen production; hydrogen storage; induction motor drives; maximum power point trackers; neural nets; power engineering computing; proton exchange membrane fuel cells; solar cells; ANN based MPPT assisted solar PV system; FC based MPPT assisted solar PV system; IM driven compressor system drive; PEMFC dynamic modeling; artificial neural network; electrical power generation; electrolyzer; hydrogen generation; hydrogen storage tank; induction motor; maximum power point tracking technique; pressure enhancement; proton exchange membrane fuel cell; renewable energy source; solar photovoltaic system; water electrolysis process; Artificial neural networks; Computer architecture; Hydrogen; MATLAB; Mathematical model; Maximum power point trackers; electrolyzer; green power generation; hydrogen storage; proton exchange membrane fuel cell (PEMFC); renewable energy; solar PV system;
Conference_Titel :
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location :
Ghaziabad
DOI :
10.1109/CIPECH.2014.7019117
