Low-Voltage Hydrogen Peroxide Electrolyzer for Highly Efficient Power-to-Hydrogen Conversion

2021 ◽  
Author(s):  
Ruimin Ding ◽  
Chang Liu ◽  
Jie Yang ◽  
Shanshan Liu ◽  
Qinchao Xu ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
High Voltage ◽  
Proton Exchange Membrane ◽  
Low Voltage ◽  
Cell Voltage ◽  
Proton Exchange ◽  
Voltage Range ◽  
Highly Efficient ◽  
Efficient Power ◽  
Exchange Membrane

Power-to-hydrogen conversion in a proton exchange membrane (PEM) water electrolyzer requires costly iridium-based catalysts and high voltage to overcome the energy barrier of the oxygen evolution reaction. Here, we demonstrate a highly efficient PEM hydrogen peroxide electrolyzer toward power-to-hydrogen conversion for onsite hydrogen production and energy storage. This design utilizes the facile hydrogen peroxide oxidation reaction (HPOR), significantly reducing the anode potential and cell voltage. Using iridium-free HPOR catalysts, the hydrogen peroxide electrolyzers work at a remarkably low-voltage range (0.8 to 1.2 V) with extremely high voltage efficiency up to 87% and low electric power consumption (ca. 24.8 to 32.3 kWh/kgH2), paving the way for the development of hydrogen economy based on the electrochemical cycle of hydrogen peroxide.

scholarly journals Degradation Investigation of Electrocatalyst in Proton Exchange Membrane Fuel Cell at a High Energy Efficiency

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 3932
Author(s):  
Jie Song ◽  
Qing Ye ◽  
Kun Wang ◽  
Zhiyuan Guo ◽  
Meiling Dou
Keyword(s):  
Energy Efficiency ◽  
Single Cell ◽  
Proton Exchange Membrane ◽  
Cell Voltage ◽  
High Energy ◽  
Proton Exchange ◽  
Pt Catalyst ◽  
Operation Conditions ◽  
High Efficient ◽  
Exchange Membrane

The development of high efficient stacks is critical for the wide spread application of proton exchange membrane fuel cells (PEMFCs) in transportation and stationary power plant. Currently, the favorable operation conditions of PEMFCs are with single cell voltage between 0.65 and 0.7 V, corresponding to energy efficiency lower than 57%. For the long term, PEMFCs need to be operated at higher voltage to increase the energy efficiency and thus promote the fuel economy for transportation and stationary applications. Herein, PEMFC single cell was investigated to demonstrate its capability to working with voltage and energy efficiency higher than 0.8 V and 65%, respectively. It was demonstrated that the PEMFC encountered a significant performance degradation after the 64 h operation. The cell voltage declined by more than 13% at the current density of 1000 mA cm−2, due to the electrode de-activation. The high operation potential of the cathode leads to the corrosion of carbon support and then causes the detachment of Pt nanoparticles, resulting in significant Pt agglomeration. The catalytic surface area of cathode Pt is thus reduced for oxygen reduction and the cell performance decreased. Therefore, electrochemically stable Pt catalyst is highly desirable for efficient PEMFCs operated under cell voltage higher than 0.8 V.

scholarly journals Open-Source Dynamic Matlab/Simulink 1D Proton Exchange Membrane Fuel Cell Model

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3478 ◽  
Author(s):  
Arne L. Lazar ◽  
Swantje C. Konradt ◽  
Hermann Rottengruber
Keyword(s):  
Fuel Cell ◽  
Open Source ◽  
Real Time ◽  
Proton Exchange Membrane ◽  
Cell Model ◽  
Cell Voltage ◽  
Proton Exchange ◽  
Cell Parameters ◽  
Real Time Analysis ◽  
Exchange Membrane

This work presents an open-source, dynamic, 1D, proton exchange membrane fuel cell model suitable for real-time applications. It estimates the cell voltage based on activation, ohmic and concentration overpotentials and considers water transport through the membrane by means of osmosis, diffusion and hydraulic permeation. Simplified equations reduce the computational load to make it viable for real-time analysis, quick parameter studies and usage in complex systems like complete vehicle models. Two modes of operation for use with or without reference polarization curves allow for a flexible application even without information about cell parameters. The program code is written in MATLAB and provided under the terms and conditions of the Creative Commons Attribution License (CC BY). It is designed to be used inside of a Simulink model, which allows this fuel cell model to be used in a wide variety of 1D simulation platforms by exporting the code as C/C++.

Improvement of CO Tolerance of Proton Exchange Membrane Fuel Cell (PEMFC) by an Air-Bleeding Technique

2005 ◽  
Author(s):  
Chen-Chung Chung ◽  
Chiun-Hsun Chen ◽  
Hsiang-Hui Lin ◽  
Yi-Yie Yan
Keyword(s):  
Carbon Monoxide ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Cell Voltage ◽  
Significant Loss ◽  
Proton Exchange ◽  
Co Poisoning ◽  
Fuel Gas ◽  
Co Tolerance ◽  
Exchange Membrane

The investigation studies improving PEMFC carbon monoxide by a periodic air dosing. The carbon monoxide in the fuel gas leads to a significant loss in power density due to CO poisoning in the anode. The method involves bleeding air into the anode fuel stream (H2-CO), which contains CO in various concentrations (20, 52.7, 100 ppm). In the transient CO poisoning test, air-bleeding is performed for four different periodic air dosing and cell voltage is fixed at 0.6 V. The result of a dosing of air during 10 sec in intervals of 10 sec is similar to that of continuous air-bleeding except 100 ppm CO. The CO tolerance of the fuel cell and cell performance recovery from poisoning can be improved by air-bleeding.

T-S Fuzzy Model-Based Fault Diagnosis of PEM Fuel Cell Engine

2010 ◽  
Vol 34-35 ◽  
pp. 92-97
Author(s):  
Rui Quan ◽  
Shu Hai Quan ◽  
Liang Huang
Keyword(s):  
Fuel Cell ◽  
Fault Diagnosis ◽  
Proton Exchange Membrane ◽  
Fuzzy Model ◽  
Cell Voltage ◽  
Proton Exchange ◽  
Safety And Reliability ◽  
Group A ◽  
On Line ◽  
Exchange Membrane

Proton exchange membrane fuel cell(PEMFC) technology has been greatly promoted in recent years, but the fault diagnosis and predictive maintenance are unneglectable issues in practical work. According to the safety and reliability requirement of 60kW automotive fuel cell engine designed by our group, a fault diagnosis method based on T-S fuzzy model which is tuned and optimized thanks to particle swarm optimization is put forward in this paper. Its inputs include voltage, the lowest single cell voltage, current, temperature and air pressure, by setting the output threshold of T-S fuzzy model at 0.85,when the healthy degree and its variety rate are below 0.85 and 0.05 respectively, the flooding fault is distinguished, if the healthy degree is below 0.85 but its variety rate is above 0.05,drying of the proton membrane is on-line diagnosed successfully, which can provide a guidance to its real-time monitoring and optimized control in future.

The Effects of Feeding Configurations to Water Flooding and General Performance of a Proton Exchange Membrane Fuel Cell

2005 ◽  
Author(s):  
A. B. Mahmud Hasan ◽  
S. M. Guo ◽  
S. V. Ekkad
Keyword(s):  
Fuel Cell ◽  
Power Density ◽  
Current Density ◽  
Proton Exchange Membrane ◽  
Cell Voltage ◽  
Bipolar Plate ◽  
Proton Exchange ◽  
Water Flooding ◽  
Cathode Side ◽  
Exchange Membrane

The performance of a Proton Exchange Membrane Fuel Cell (PEMFC) using different feeding configurations has been studied. Three bipolar plates, namely serpentine, straight channel and interdigitated designs, were arranged in different combinations for the PEMFC anode and cathode sides. Nine combinations in total were tested under different flow rates, working temperatures and loadings. The cell voltage versus current density and the cell power density versus current density curves were obtained. After operating the PEMFC under high current densities, the cell was split and the water flooding in the feeding channels was visually inspected. Experimental results showed that for different feeding configurations, interdigitated bipolar plate in anode side and serpentine bipolar plate in cathode side had the best performance in terms of cell voltage-current density curve, power density output rate, percentage of flooded area in the feeding channels, the pattern of flooding and the fuel utilization rate.

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