Experimental and Modeling Study on Energy Flow of 250kW Alkaline Electrolysis System under Steady State Condition and Cold Start Process

Abstract: Improving the energy efficiency of alkaline water electrolysis system (AWE) is one of the problems to be solved. In this study, by establishing a multi-physical field coupling AWE system model of heat transfer, mass transfer and electrochemistry, the heat flow and energy distribution under steady state and cold start process are discussed, and on this basis, a method to improve energy efficiency is proposed. The full load power consumption of the system is 272.7 kW, and the electrolytic cell accounts for 88.4%. The useless heat generation and parasitic current are the main factors causing the energy loss of the electrolytic cell, accounting for 21.2% and 3.1% of the total power consumption respectively. The useless heat production of the electrolyzer is also an important factor in the energy consumption of the chiller, accounting for 5% of the system power consumption. Improving the performance of the electrolyser and minimizing its heat generation are critical to optimizing the efficiency of the system. During the AWE cold start process, the constant pressure control has a shorter cold start time than the constant current control, but their power consumption difference in heat and hydrogen production is small. Compared with the optimized power load type, reducing the system heat capacity is very effective in accelerating the cold start process, which can shorten the cold start time to less than 1h.

02

2023

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06

The nonlinear method of fuel cell life evaluation and online prediction-Chen Dongfang.

Focus: · A non-linear formula for evaluating and predicting the service life of fuel cells is proposed. • Non-linear degradation is mainly due to changes in hydrogen crossover. Determine the line segment points between the linear and nonlinear formulas. · The calculation formula is verified by experimental and actual vehicle operation results. · Proposed methods for laboratory life assessment and on-line vehicle prediction. Abstract: Life evaluation and prediction is a key issue for proton exchange membrane (PEM) fuel cells, which helps to extend the durability of fuel cells and accelerate the commercialization of fuel cells. In this paper, a linear formula for evaluating the maximum service life of fuel cells for automobiles and several nonlinear formulas for predicting the service life of fuel cells are given. The terminal voltage of the fuel cell under the rated condition means that the average voltage of the cell is reduced by about 10% from the initial rated voltage under the rated condition. A nonlinear formula is derived based on the change of hydrogen crossing point, which shows that the change of hydrogen crossing point is the main factor of nonlinear life degradation of fuel cell. A nonlinear formula for the whole process based on the time response of the first-order control system (FOCS) is proposed, and the segment point between linear and nonlinear degradation is defined by this formula. On this basis, based on the time response of the local process, a more accurate linear life formula and nonlinear life formula are derived. Finally, through the experimental results of single cell and fuel cell stack and the actual operation results of fuel cell vehicles, the validity of the segmented formula is verified. In addition, the methods of laboratory life evaluation and vehicle online prediction are also proposed.

20

2019

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08

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