电解
整流器(神经网络)
晶闸管
功率(物理)
电
控制理论(社会学)
电流(流体)
残余物
环境科学
工艺工程
化学
材料科学
工程类
电气工程
计算机科学
热力学
物理
电解质
电极
控制(管理)
物理化学
随机神经网络
算法
机器学习
人工智能
循环神经网络
人工神经网络
作者
Senan F. Amireh,Niels N. Heineman,P Vermeulen,Rodrigo Lira Garcia Barros,Dongsheng Yang,J. van der Schaaf,Matheus T. de Groot
标识
DOI:10.1016/j.jpowsour.2023.232629
摘要
Contrary to traditional electrolysers which operate continuously at their nominal load, future alkaline electrolysers need to be able to operate over a wide load range due to the variability of renewable electricity supply. We have investigated how the residual ripples from thyristor-based power supplies are influenced by the operating load of the system, and how these ripples affect the efficiency of alkaline electrolysers. For this, a simulation tool was developed which combines a six-pulse bridge thyristor rectifier model with closed-loop current control and semi-empirical electrolysis models. The electrolysis models can simulate the potential response to both direct and high amplitude alternating currents for lab-scale and industrial electrolysers. The electrolysis model of the lab-scale electrolyser was validated with experiments with a square wave current input. The models show that without filters the ripples result in a total system efficiency loss of 1.2–2.5% at full load and of 5.6–10.6% at a part load of 20% depending on the type of electrolyser. The implementation of an optimized L-filter suppresses residual ripples and reduces the efficiency losses to 0.5%–0.8% at full load and to 0.8–1.2% at the minimum load.
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