Development of Model-Based PEM Water Electrolysis HILS (Hardware-in-the-Loop Simulation) System for State Evaluation and Fault Detection
Abstract
:1. Introduction
2. System Configuration
Experimental Setup
3. Model Description
3.1. PEMWE Stack
3.1.1. Anode Model
3.1.2. Cathode Model
3.1.3. Membrane Model
3.1.4. Electrochemical Model
Open-Circuit Voltage
Activation Overpotential
Ohmic Overpotential
3.2. Thermal Management Model
3.3. Balance of Plant Model
3.3.1. Water Pump Model
3.3.2. Reservoir Model
3.3.3. Simple Heat Exchanger Model
4. Model Validation
4.1. Model Verification with Experiment Data
4.2. Verification of Stack Model under Steady State
4.3. Verification of Stack Model under Dynamic Condition
5. PEMWE HILS System
5.1. Need for HILS
5.2. Hardware-in-the-Loop Simulation Interface
5.3. HILS-Based Fault Detection
6. Results and Discussion
6.1. PEMWE HILS System Validation
6.2. PEMWE HILS System Results
6.3. HILS-Based Fault-Detection System
7. Conclusions
- Mathematical models of stacks and BOPs were developed for the fault diagnosis of water electrolysis systems and verified based on experimental results. Compared with the experimental results, the verified model was confirmed to operate correctly within an error magnitude of 10%.
- To diagnose the real-time failure of the water electrolysis system, an HILS system was applied in which the experimental device and the simulation model were operated in real-time. To detect errors in the system, we propose a method of detection by comparing the voltage of the stack and the experimental results obtained through thermocouples installed at the front and rear ends of the stack in real-time. Faults were detected 10 min after the occurrence. This is considered to be caused by the complexity of the model and the real-time delay.
- In a further study, AI-based learning models will be developed, and research that can be applied in real-time will be conducted. This will increase the reliability of the water electrolysis system and help its commercialization.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Nomenclature
Symbol | |
A | Active area (cm2) |
an | Anode |
C | Concentration |
C | Specific heat |
ca | Cathode |
D | Diffusion coefficient |
F | Faraday constant |
I | Current |
I | Current density (A/cm2) |
m | Mass flow rate |
MFC | Mass flow meter |
N | Molar flow rate |
n | Number of cells, molar flow rate per unit area |
P | Pressure |
PEM | Proton exchange membrane |
Q | Heat transfer |
R | Resistance |
RV | Reservoir |
T | Temperature |
V | Stack voltage |
WE | Water electrolysis |
Greek Symbols | |
Water content of the membrane | |
Transfer coefficient | |
Thickness | |
Density | |
Electrical conductivity | |
Subscripts | |
Hydrogen | |
Water | |
Oxygen | |
0 | Stand condition, exchanger current density (activation overpotential) |
act | Activation loss |
ch | Channel |
el | Electrode |
mem | Membrane |
OCV | Open-circuit voltage |
ohmic | Ohmic loss |
x | Gas species of partial pressure |
Oxygen | |
Superscripts | |
Time rate | |
Consumption | |
Diffusion | |
Electroosmotic drag | |
Generation | |
Inlet | |
Outlet |
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Parameters | Value | Unit |
---|---|---|
Electrical power | 320 | W |
Cell number | 4 | - |
Cell active area | 50.24 | cm2 |
Stack current range | 0–40 | A |
Operating temperature range | 5–45 | °C |
Operating pressure range | 0–10 | barg |
Water consumption | 60 | cc/hr |
Compatibility Settings for HILS |
---|
Veristand 2020 R2 |
Labview 2020 |
MATLAB/Simulink® 2018a |
Windows 10 64-bit |
Visual C++ 2008 Professional |
Windows SDK 7.1 for Windows 7 and .NET Framework 4.0 |
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Koo, T.; Ko, R.; Ha, D.; Han, J. Development of Model-Based PEM Water Electrolysis HILS (Hardware-in-the-Loop Simulation) System for State Evaluation and Fault Detection. Energies 2023, 16, 3379. https://0-doi-org.brum.beds.ac.uk/10.3390/en16083379
Koo T, Ko R, Ha D, Han J. Development of Model-Based PEM Water Electrolysis HILS (Hardware-in-the-Loop Simulation) System for State Evaluation and Fault Detection. Energies. 2023; 16(8):3379. https://0-doi-org.brum.beds.ac.uk/10.3390/en16083379
Chicago/Turabian StyleKoo, Taehyung, Rockkil Ko, Dongwoo Ha, and Jaeyoung Han. 2023. "Development of Model-Based PEM Water Electrolysis HILS (Hardware-in-the-Loop Simulation) System for State Evaluation and Fault Detection" Energies 16, no. 8: 3379. https://0-doi-org.brum.beds.ac.uk/10.3390/en16083379