Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach

This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variabl...
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Gespeichert in:

Autor*in:	David, Martín [verfasserIn] Alvarez, Hernán [verfasserIn] Ocampo-Martinez, Carlos [verfasserIn] Sánchez-Peña, Ricardo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Hydrogen Alkaline electrolysis Dynamic modelling Phenomenological-based semiphysical modelling

Übergeordnetes Werk:	Enthalten in: International journal of hydrogen energy - New York, NY [u.a.] : Elsevier, 1976, 45
Übergeordnetes Werk:	volume:45

DOI / URN:	10.1016/j.ijhydene.2020.06.038

Katalog-ID:	ELV004500083

Internformat


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520			\|a This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design.
650		4	\|a Hydrogen
650		4	\|a Alkaline electrolysis
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650		4	\|a Phenomenological-based semiphysical modelling
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700	1		\|a Ocampo-Martinez, Carlos \|e verfasserin \|4 aut
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matchkey_str	article:18793487:2020----::yaimdligflaieefrsuieeetoyespeoeooiab
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publishDate	2020
allfields	10.1016/j.ijhydene.2020.06.038 doi (DE-627)ELV004500083 (ELSEVIER)S0360-3199(20)32175-3 DE-627 ger DE-627 rda eng 660 620 DE-600 52.56 bkl David, Martín verfasserin (orcid)0000-0002-8217-8894 aut Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design. Hydrogen Alkaline electrolysis Dynamic modelling Phenomenological-based semiphysical modelling Alvarez, Hernán verfasserin aut Ocampo-Martinez, Carlos verfasserin aut Sánchez-Peña, Ricardo verfasserin (orcid)0000-0001-9190-2576 aut Enthalten in International journal of hydrogen energy New York, NY [u.a.] : Elsevier, 1976 45 Online-Ressource (DE-627)301511357 (DE-600)1484487-4 (DE-576)096806397 1879-3487 nnns volume:45 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 45
spelling	10.1016/j.ijhydene.2020.06.038 doi (DE-627)ELV004500083 (ELSEVIER)S0360-3199(20)32175-3 DE-627 ger DE-627 rda eng 660 620 DE-600 52.56 bkl David, Martín verfasserin (orcid)0000-0002-8217-8894 aut Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design. Hydrogen Alkaline electrolysis Dynamic modelling Phenomenological-based semiphysical modelling Alvarez, Hernán verfasserin aut Ocampo-Martinez, Carlos verfasserin aut Sánchez-Peña, Ricardo verfasserin (orcid)0000-0001-9190-2576 aut Enthalten in International journal of hydrogen energy New York, NY [u.a.] : Elsevier, 1976 45 Online-Ressource (DE-627)301511357 (DE-600)1484487-4 (DE-576)096806397 1879-3487 nnns volume:45 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 45
allfields_unstemmed	10.1016/j.ijhydene.2020.06.038 doi (DE-627)ELV004500083 (ELSEVIER)S0360-3199(20)32175-3 DE-627 ger DE-627 rda eng 660 620 DE-600 52.56 bkl David, Martín verfasserin (orcid)0000-0002-8217-8894 aut Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design. Hydrogen Alkaline electrolysis Dynamic modelling Phenomenological-based semiphysical modelling Alvarez, Hernán verfasserin aut Ocampo-Martinez, Carlos verfasserin aut Sánchez-Peña, Ricardo verfasserin (orcid)0000-0001-9190-2576 aut Enthalten in International journal of hydrogen energy New York, NY [u.a.] : Elsevier, 1976 45 Online-Ressource (DE-627)301511357 (DE-600)1484487-4 (DE-576)096806397 1879-3487 nnns volume:45 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 45
allfieldsGer	10.1016/j.ijhydene.2020.06.038 doi (DE-627)ELV004500083 (ELSEVIER)S0360-3199(20)32175-3 DE-627 ger DE-627 rda eng 660 620 DE-600 52.56 bkl David, Martín verfasserin (orcid)0000-0002-8217-8894 aut Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design. Hydrogen Alkaline electrolysis Dynamic modelling Phenomenological-based semiphysical modelling Alvarez, Hernán verfasserin aut Ocampo-Martinez, Carlos verfasserin aut Sánchez-Peña, Ricardo verfasserin (orcid)0000-0001-9190-2576 aut Enthalten in International journal of hydrogen energy New York, NY [u.a.] : Elsevier, 1976 45 Online-Ressource (DE-627)301511357 (DE-600)1484487-4 (DE-576)096806397 1879-3487 nnns volume:45 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 45
allfieldsSound	10.1016/j.ijhydene.2020.06.038 doi (DE-627)ELV004500083 (ELSEVIER)S0360-3199(20)32175-3 DE-627 ger DE-627 rda eng 660 620 DE-600 52.56 bkl David, Martín verfasserin (orcid)0000-0002-8217-8894 aut Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design. Hydrogen Alkaline electrolysis Dynamic modelling Phenomenological-based semiphysical modelling Alvarez, Hernán verfasserin aut Ocampo-Martinez, Carlos verfasserin aut Sánchez-Peña, Ricardo verfasserin (orcid)0000-0001-9190-2576 aut Enthalten in International journal of hydrogen energy New York, NY [u.a.] : Elsevier, 1976 45 Online-Ressource (DE-627)301511357 (DE-600)1484487-4 (DE-576)096806397 1879-3487 nnns volume:45 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 45
language	English
source	Enthalten in International journal of hydrogen energy 45 volume:45
sourceStr	Enthalten in International journal of hydrogen energy 45 volume:45
format_phy_str_mv	Article
bklname	Regenerative Energieformen alternative Energieformen
institution	findex.gbv.de
topic_facet	Hydrogen Alkaline electrolysis Dynamic modelling Phenomenological-based semiphysical modelling
dewey-raw	660
isfreeaccess_bool	false
container_title	International journal of hydrogen energy
authorswithroles_txt_mv	David, Martín @@aut@@ Alvarez, Hernán @@aut@@ Ocampo-Martinez, Carlos @@aut@@ Sánchez-Peña, Ricardo @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	301511357
dewey-sort	3660
id	ELV004500083
language_de	englisch
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author	David, Martín
spellingShingle	David, Martín ddc 660 bkl 52.56 misc Hydrogen misc Alkaline electrolysis misc Dynamic modelling misc Phenomenological-based semiphysical modelling Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach
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topic_title	660 620 DE-600 52.56 bkl Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach Hydrogen Alkaline electrolysis Dynamic modelling Phenomenological-based semiphysical modelling
topic	ddc 660 bkl 52.56 misc Hydrogen misc Alkaline electrolysis misc Dynamic modelling misc Phenomenological-based semiphysical modelling
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title	Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach
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title_full	Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach
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title_sort	dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach
title_auth	Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach
abstract	This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design.
abstractGer	This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design.
abstract_unstemmed	This paper proposes a phenomenological based semiphysical model (PBSM) for a self-pressurized alkaline electrolyzer. The model, based on mass and energy balances, represents the dynamic behaviour of hydrogen and oxygen production using electrolysis. The model allows to anticipate operational variables as dynamic responses in the concentrations of the electrolytic cell, and variations in both, level and pressure, at the gas separation chambers due to the change in electric current. The model parameters have been adjusted based on experimental measurements taken from an available prototype and through a suitable identification process. Simulation results replicate the current dynamic response of the experimental self-pressurized electrolyzer assembly. This model proves to be useful in the improvement of the control of gas production rate in this kind of assemblies, both as a validated simulation platform and as a source of reduced order models for model-based control design.
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title_short	Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach
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author2	Alvarez, Hernán Ocampo-Martinez, Carlos Sánchez-Peña, Ricardo
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up_date	2024-07-06T23:12:02.352Z
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Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach

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