Energy is a requisite factor for technological advancement and the economic development of any society. Currently, global energy demand supply largely rely on fossil fuels. The use fuels as source has caused severe environmental pollution warming. To salvage dire situation, research effort geared toward utilization clean, renewable sustainable sources hydrogen economy among most preferred choic...

This project aims to design a predictive maximum power point tracking (MPPT) for proton exchange membrane fuel cell system (PEMFC). MPPT includes the control algorithm of DC-DC boost converter in fully functional mathematical modeling PEMFC system. The is controlled by and regulates voltage extract output power. All simulations were performed using MATLAB software show characteristics extracted...

According to finite-time thermodynamics, an irreversible high temperature proton exchange membrane fuel cell (HT-PEMFC) model is established, and the mathematical expressions of output power, energy efficiency, exergy efficiency ecological coefficient performance (ECOP) HT-PEMFC are deduced. The ECOP a step forward in optimizing relationship between power dissipation, which more line with princ...

This study is concerned with electrochemical investigation of novel high-performance proton exchange membranes based on bio-functionalized montmorillonite and Nafion. It was found that the incorporation of 2 wt% BMMT into Nafion polyelectrolyte matrix results in significantly improved methanol-air fuel cell efficiency of 30% compared to 14% for Nafion(R)117, and about 23-times higher membrane s...

Catalyst ink is a key material of the catalyst layer in proton exchange membrane fuel cell, but can be degraded as reactions alcohols are promoted by Pt ink. The present study quantitatively determined concentrations reaction products an ethanol/water-based ink, and effects these substances on were investigated. acetaldehyde concentration was found to factor, caused particle agglomeration micro...

Fuel cells are potential candidates for storing energy in many applications; however, their implementation is limited due to poor efficiency and high initial and operating costs. The purpose of this research is to find the most influential fuel cell parameters by applying the adaptive neuro-fuzzy inference system (ANFIS). The ANFIS method is implemented to select highly influential parame...