Modelling and experimental validation of a 46 kW PEM high pressure water electrolyzer
| Autor: | Manuel Espinosa-López, Philippe Poggi, C. Darras, Serge Besse, Philippe Baucour, André Rakotondrainibe, Pierre Serre-Combe, Raynal Glises |
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| Rok vydání: | 2018 |
| Předmět: |
Hydrogen
Renewable Energy Sustainability and the Environment business.industry Nuclear engineering chemistry.chemical_element Particle swarm optimization 02 engineering and technology Atmospheric temperature range 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Renewable energy chemistry Stack (abstract data type) Environmental science Thermal mass Current (fluid) 0210 nano-technology business Voltage |
| Zdroj: | Renewable Energy. 119:160-173 |
| ISSN: | 0960-1481 |
| DOI: | 10.1016/j.renene.2017.11.081 |
| Popis: | The objective of this paper is to present the modelling and experimental validation of the 46 kW PEM high pressure water electrolyzer installed on the MYRTE platform, which is a real-scale demonstrator that aims to study the deployment of hydrogen to store the energy associated to intermittent renewable energy source systems. An electrochemical steady-state and semi-empirical submodel coupled with a lumped thermal capacitance dynamic submodel is developed to predict the stack voltage and the stack temperature evolution from instantaneous operating conditions such as the applied current, the gas storage pressure tanks ( H 2 and O 2 ) and the ambient temperature. The Particle Swarm Optimization algorithm is used to find the electrochemical submodel parameters and a multivariable Matlab-Simulink® linked modular mathematical model is developed for validation. Results indicate that within a temperature range of 20–60 °C, and a pressure range of 15–35 bar, the stack voltage and the temperature evolution can be predicted even in transitory operating phases. The strategy used for the parameters identification is explained in detail and can be applied to any PEM water electrolyzer. |
| Databáze: | OpenAIRE |
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