A5031957308- Hybrid Renewable Energy Systems
- Advanced Battery Technologies Research
- Fuel Cells and Related Materials
- Integrated Energy Systems Optimization
- Advanced battery technologies research
- Hydrogen Storage and Materials
- Advanced Chemical Sensor Technologies
- Power Systems and Renewable Energy
- Energy and Environment Impacts
- Energy Load and Power Forecasting
- Ammonia Synthesis and Nitrogen Reduction
- Electrocatalysts for Energy Conversion
- Advanced Algorithms and Applications
- Machine Learning and ELM
Tongji University
2021-2024
Clean Energy (United States)
2023
Four functions of interfaces in MEA are proposed: the mechanical adhesion, charge transfer, mass transport, and heat conduction.
This paper presents a comprehensive study on the dynamic simulation modeling of alkaline water electrolyzers. Detailed experimental testing and characteristic analysis reveal that electrolyzers have long startup times, rapid responses, poor stability. These characteristics are critical for development accurate models effective strategies. A model was established in MATLAB R2022b Simulink, enabling standalone operation module encapsulation. facilitates construction hydrogen production...
The current water electrolyzer industry is experiencing rapid growth due to the increasing demand for renewable hydrogen as a clean energy. application in energy demands dynamic operation of electrolyzer, while and start-up response not comprehensively studied. This study focuses on characterizing response, well process electrolyzers. analyzed using an alternating input step, electrochemical correlated with control electrolyzer. overshoot voltage during alternation taken indicative under...
As the prevalence of water electrolysis systems continues to expand, increased attention has been placed on dynamic thermal detection electrolyzer. Presently, scope for is limited solely temperatures at inlet and outlet. This study propounds a novel dual-layer characteristics temperature (DLCT) model purpose electrolyzer monitoring. The DLCT addresses two significant issues WEE: characteristic extraction difficulty signal perturbation caused by auxiliary factors. first layer multi-gaussian...
Coupling and controlling renewable energy wind power large-scale electrolytic hydrogen production system to adapt the fluctuation of can obtain green from source reduce waste phenomenon energy, so as promote development a low-carbon society. In this paper, by constructing with an alkaline water electrolyzer main body, multi-factor cyclic queue control strategy developed based on state parameters device is coupled, simulation work carried out in combination 241h duration curve certain place....