粒子群优化
堆栈(抽象数据类型)
电解
电解法
制氢
MATLAB语言
汽车工程
碱性水电解
工艺工程
聚合物电解质膜电解
计算机科学
环境科学
工程类
氢
化学
算法
电极
物理化学
电解质
操作系统
有机化学
程序设计语言
作者
Georgios Sakas,Alejandro Ibáñez-Rioja,Santeri Pöyhönen,Antti Kosonen,Vesa Ruuskanen,Pertti Kauranen,Jero Ahola
标识
DOI:10.1016/j.renene.2024.120266
摘要
The aim of this paper is to analyze through simulation how the energy efficiency of a single electrolysis stack at various loads is affected by shunt currents and to determine the energy-optimal load distribution between lines in a multiline electrolysis system under various magnitudes of shunt current losses. A dynamic energy and mass balance model of an industrial 3MW, 16bar alkaline water electrolyzer (AWE) process was developed using MATLAB. The optimization goal is to determine the power supply for each AWE line so that it can meet any hydrogen demand while minimizing the global specific energy consumption (SEC). The Particle Swarm Optimization (PSO) algorithm is used to minimize the objective function. According to the results of the single stack investigation, shunt current reduction could significantly improve the energy efficiency of partial-load operation. In addition, the optimization study revealed that whenever two or more lines are required to run in order to satisfy the hydrogen demand, the global SEC is minimized when the lines operate at equal loads.
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