Modelling and Optimization of Shunt Current Management in Industrial Alkaline Water Electrolysis: Grounding, Forced Potentials and Combination of Multiple Stacks

电解 接地 电流(流体) 分流(医疗) 碱性水电解 环境科学 计算机科学 电气工程 工程类 化学 电极 医学 电解质 心脏病学 物理化学
作者
Simon Appelhaus,Maik Becker,Henning Becker,Thomas Turek
出处
期刊:Meeting abstracts [Institute of Physics]
卷期号:MA2024-02 (25): 2003-2003
标识
DOI:10.1149/ma2024-02252003mtgabs
摘要

Background Alkaline Water Electrolysis (AWE) is a key technology for green hydrogen production. Unlike proton exchange membrane (PEM) water electrolysis, AWE requires a highly conductive electrolyte, typically ~30 wt% KOH solution, to be pumped through the water electrolysis cells. However, it does not require expensive or critical raw materials and can be dynamically operated with renewable energies [1]. In industrial applications, many cells are connected electrically in series, thus forming a “Stack”. Consequently, the stack can be supplied with electricity at higher voltage, typically between 100 V and 600 V. At the same time, the cells are connected in parallel to the same liquid feed from a single pump, which is distributed to the cells and collected afterwards via a manifold [2]. Because the electrolyte is conductive, a short circuit occurs as some current bypasses the cells through the manifold. This current is known as shunt or leakage current and has been observed in other electrochemical flow cell systems as well, such as chlor-alkali electrolysis or redox flow batteries [3]. The bypassing current has multiple undesirable effects: reduction of current efficiency, maldistribution of load across the cells and corrosion due to electrochemical reactions outside of the electrolysis cells [4]. Modelling approach The modelling performed in this work aims to optimize the management of shunt currents in industrial electrolysis in order to reduce the damage caused by shunt currents while maintaining high efficiencies. This model is based on an equivalent circuit diagram which represents the electrolyte channels as resistors and the reaction as a voltage drop for each cell and was realized in the Python programming language. This approach has been shown to be reasonably accurate in comparisons to experimental results [5]. In this work, the model was then used to optimize a number of shunt current mitigation techniques, such as grounding and forced external potentials, as well as the connection of multiple electrolysis stacks to a single rectifier providing DC current. The grounding of the electrolyte diverts current exiting the stack through the electrolyte in a controlled manner and protects the cells and external conductive components, such as pumps or pipes, from shunt currents. At the same time, it increases overall efficiency losses in the system, as the resistance to the ground electrode must be lower than that between the cells. For this reason, optimization has been carried out between current losses and shunt currents, depending on the size and position of the ground electrode. In addition, a forced potential in the feed and outlet manifold to reduce current flow from the cell was investigated. The connection of multiple stacks to a single rectifier is an opportunity to reduce the balance of plant (BoP) costs of large electrolysis systems significantly, as rectifiers are the single most expensive component apart from the stack itself [6]. For this reason, additional modelling was carried out on the effect of multiple stacks being ionically separated but connected by a grounding electrode. During this talk, the modelling and optimization will be presented. In addition, specific design recommendations and possible future improvement areas to improve industrial stack and plant design will be given. References [1] J. Brauns, T. Turek, Processes 2020 , 8 (2) , 248. DOI: 10.3390/pr8020248. [2] R. Qi, M. Becker, J. Brauns, T. Turek, J. Lin, Y. Song, Journal of Power Sources 2023 , 579 , 233222. DOI: 10.1016/j.jpowsour.2023.233222. [3] M. Skyllas-Kazacos, J. McCann, Y. Li, J. Bao, A. Tang, ChemistrySelect 2016 , 1 (10) , 2249–2256. DOI: 10.1002/slct.201600432. [4] A. T. Kuhn, J. S. Booth, J Appl Electrochem 1980 , 10 (2) , 233–237. DOI: 10.1007/BF00726091. [5] H. S. Burney, R. E. White, J. Electrochem. Soc. 1988 , 135 (7) , 1609–1612. DOI: 10.1149/1.2096069. [6] M. Holst, S. Aschbrenner, T. Smolinka, C. Voglstätter, G. Grimm, in press. DOI: 10.24406/publica-1318. Figure 1

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
西门博超发布了新的文献求助10
1秒前
不知道叫什么完成签到,获得积分10
1秒前
Eric发布了新的文献求助30
2秒前
3秒前
落寞自中完成签到,获得积分10
3秒前
5秒前
大个应助Bobo采纳,获得30
5秒前
5秒前
Hello应助耶耶小豆包采纳,获得10
5秒前
这是好事儿啊完成签到,获得积分10
5秒前
6秒前
6秒前
蛋炒饭i发布了新的文献求助10
6秒前
6秒前
6秒前
guo完成签到 ,获得积分10
7秒前
wanci应助ZzRG采纳,获得10
8秒前
思源应助聪慧航空采纳,获得10
8秒前
Qiqinnn发布了新的文献求助10
8秒前
花满城完成签到,获得积分10
8秒前
8秒前
9秒前
10秒前
10秒前
安静萤关注了科研通微信公众号
10秒前
大咖完成签到,获得积分10
10秒前
姚序东发布了新的文献求助10
10秒前
科研通AI6.4应助zzy采纳,获得10
11秒前
11秒前
冷静的海瑶完成签到,获得积分10
11秒前
11秒前
Fmy发布了新的文献求助10
11秒前
吴jp完成签到 ,获得积分10
11秒前
奥比岛高手完成签到,获得积分10
12秒前
12秒前
SciGPT应助韩程果采纳,获得10
13秒前
13秒前
nihaoa完成签到 ,获得积分10
13秒前
小蘑菇应助871004188采纳,获得10
14秒前
Shmily发布了新的文献求助10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764575
求助须知:如何正确求助?哪些是违规求助? 9308727
关于积分的说明 20307911
捐赠科研通 7349263
什么是DOI,文献DOI怎么找? 3314437
关于科研通互助平台的介绍 2463919
邀请新用户注册赠送积分活动 2328642