Generic Dynamical Model of PEM Electrolyser under Intermittent Sources
Proton Exchange Membrane (PEM) water electrolysis system is one of the promising technologies to produce green hydrogen from renewable energy sources (wind and solar). However, performance and dynamic analysis of PEM water electrolysis systems are challenging due to the intermittent nature of such s...
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doaj-5f2c3f29cb914f9ca52b73ddb30f40222020-12-12T00:04:54ZengMDPI AGEnergies1996-10732020-12-01136556655610.3390/en13246556Generic Dynamical Model of PEM Electrolyser under Intermittent SourcesSumit Sood0Om Prakash1Mahdi Boukerdja2Jean-Yves Dieulot3Belkacem Ould-Bouamama4Mathieu Bressel5Anne-Lise Gehin6CRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, FranceCRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, FranceCRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, FranceCRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, FranceCRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, FranceCRIStAL UMR CNRS 9189, Junia, 59000 Lille, FranceCRIStAL UMR CNRS 9189, Université de Lille, 59655 Villeneuve d’Ascq, FranceProton Exchange Membrane (PEM) water electrolysis system is one of the promising technologies to produce green hydrogen from renewable energy sources (wind and solar). However, performance and dynamic analysis of PEM water electrolysis systems are challenging due to the intermittent nature of such sources and involved multi-physical behaviour of the components and subsystems. This study proposes a generic dynamical model of the PEM electrolysis system represented in a modular fashion using Bond Graph (BG) as a unified modelling approach. Causal and functional properties of the BG facilitate the formal PEM electrolyser model to adapt and to fit the different configurations of the electrolyser ranging from laboratory scale to industrial scale. The system-specific key parameter values are identified optimally for a laboratory-scale electrolyser system running on a multi-source energy platform using experimental data. The mean absolute percentage error between simulation and experimental data is found to be less than 5%. The performance characteristic curves of the electrolyser are predicted at different operating temperatures using the identified key parameters. The predicted performance is in good agreement with the expected behaviour of the electrolyser found in the literature. The model also estimates the different energy losses and the real-time efficiency of the system under dynamic inputs. With these capabilities, the developed model provides an economical mean for design, control, and diagnosis development of such systems.https://www.mdpi.com/1996-1073/13/24/6556Proton Exchange Membrane electrolysisgreen hydrogenintermittent sourcesgraphical modellingBond Graphdynamical simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sumit Sood Om Prakash Mahdi Boukerdja Jean-Yves Dieulot Belkacem Ould-Bouamama Mathieu Bressel Anne-Lise Gehin |
spellingShingle |
Sumit Sood Om Prakash Mahdi Boukerdja Jean-Yves Dieulot Belkacem Ould-Bouamama Mathieu Bressel Anne-Lise Gehin Generic Dynamical Model of PEM Electrolyser under Intermittent Sources Energies Proton Exchange Membrane electrolysis green hydrogen intermittent sources graphical modelling Bond Graph dynamical simulation |
author_facet |
Sumit Sood Om Prakash Mahdi Boukerdja Jean-Yves Dieulot Belkacem Ould-Bouamama Mathieu Bressel Anne-Lise Gehin |
author_sort |
Sumit Sood |
title |
Generic Dynamical Model of PEM Electrolyser under Intermittent Sources |
title_short |
Generic Dynamical Model of PEM Electrolyser under Intermittent Sources |
title_full |
Generic Dynamical Model of PEM Electrolyser under Intermittent Sources |
title_fullStr |
Generic Dynamical Model of PEM Electrolyser under Intermittent Sources |
title_full_unstemmed |
Generic Dynamical Model of PEM Electrolyser under Intermittent Sources |
title_sort |
generic dynamical model of pem electrolyser under intermittent sources |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-12-01 |
description |
Proton Exchange Membrane (PEM) water electrolysis system is one of the promising technologies to produce green hydrogen from renewable energy sources (wind and solar). However, performance and dynamic analysis of PEM water electrolysis systems are challenging due to the intermittent nature of such sources and involved multi-physical behaviour of the components and subsystems. This study proposes a generic dynamical model of the PEM electrolysis system represented in a modular fashion using Bond Graph (BG) as a unified modelling approach. Causal and functional properties of the BG facilitate the formal PEM electrolyser model to adapt and to fit the different configurations of the electrolyser ranging from laboratory scale to industrial scale. The system-specific key parameter values are identified optimally for a laboratory-scale electrolyser system running on a multi-source energy platform using experimental data. The mean absolute percentage error between simulation and experimental data is found to be less than 5%. The performance characteristic curves of the electrolyser are predicted at different operating temperatures using the identified key parameters. The predicted performance is in good agreement with the expected behaviour of the electrolyser found in the literature. The model also estimates the different energy losses and the real-time efficiency of the system under dynamic inputs. With these capabilities, the developed model provides an economical mean for design, control, and diagnosis development of such systems. |
topic |
Proton Exchange Membrane electrolysis green hydrogen intermittent sources graphical modelling Bond Graph dynamical simulation |
url |
https://www.mdpi.com/1996-1073/13/24/6556 |
work_keys_str_mv |
AT sumitsood genericdynamicalmodelofpemelectrolyserunderintermittentsources AT omprakash genericdynamicalmodelofpemelectrolyserunderintermittentsources AT mahdiboukerdja genericdynamicalmodelofpemelectrolyserunderintermittentsources AT jeanyvesdieulot genericdynamicalmodelofpemelectrolyserunderintermittentsources AT belkacemouldbouamama genericdynamicalmodelofpemelectrolyserunderintermittentsources AT mathieubressel genericdynamicalmodelofpemelectrolyserunderintermittentsources AT annelisegehin genericdynamicalmodelofpemelectrolyserunderintermittentsources |
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1724385889395671040 |