Holistic Dynamic Modeling and Simulation of Alkaline Water Electrolysis Systems Based on Heat Current Method

Yi-Chong Jiang, Shi-Meng Dong, Zheng Liang, Xiao-Li Wang, Lei Shi, Bing Yan and Tian Zhao ()
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Yi-Chong Jiang: Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
Shi-Meng Dong: National Power Dispatch and Control Center, State Grid Corporation of China, Xicheng District, Beijing 100031, China
Zheng Liang: Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
Xiao-Li Wang: State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750000, China
Lei Shi: State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750000, China
Bing Yan: State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750000, China
Tian Zhao: Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China

Energies, 2024, vol. 17, issue 23, 1-24

Abstract: Hydrogen production technology is becoming increasingly important with the rapid development of hydrogen energy. Among existing hydrogen production technologies, alkaline water electrolysis (AWE) is drawing wide attention due to its advantages such as high maturity and low cost, and its performance analysis and optimization are important for applications. However, the AWE system contains processes with different physical and mathematical properties such as electrochemical reaction and heat transport processes, bringing difficulties to the system modeling. Moreover, the electrical and thermal processes have different characteristic time scales, and the system shows a sophisticated dynamic behavior, which has not been well studied yet. Here, a homomorphic dynamic model of the AWE system in the form of electrical circuit is built to describe the thermal and electrochemical processes uniformly, where the two parts are integrated via the energy conservation seamlessly. The model is verified by comparing with the experimental data and shows a high accuracy. The dynamic simulation analysis is conducted to investigate the dynamic response characteristics of the system under current step changes and fluctuations. The temperature overshoot and oscillation phenomena caused by delays in heat transport processes are studied. Results show that the time delay yields a maximum temperature overshoot of 10 °C, which would reduce the lifespan of the stack. This also highlights the importance of dynamic system analysis.

Keywords: alkaline water electrolysis; dynamic modeling; heat current method; equivalent circuit; multi-time scales (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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