Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates

The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity...
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Autor*in:	Arzate, Juan A [verfasserIn] Kirstein, Max Ertem, Funda C Kielhorn, Erich Ramirez Malule, Howard Neubauer, Peter Cruz‐Bournazou, M. Nicolas Junne, Stefan

Format:	Artikel
Sprache:	Englisch

Erschienen:	2017

Rechteinformationen:	Nutzungsrecht: © 2017 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim

Schlagwörter:	Identifiability Anaerobic digestion model Anaerobic digestion Biogas

Übergeordnetes Werk:	Enthalten in: Chemie - Ingenieur - Technik - Weinheim : Wiley-VCH Verl., 1949, 89(2017), 5, Seite 686-695
Übergeordnetes Werk:	volume:89 ; year:2017 ; number:5 ; pages:686-695

Links:	Volltext Link aufrufen

DOI / URN:	10.1002/cite.201600176

Katalog-ID:	OLC1992492115

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520			\|a The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants.
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allfields	10.1002/cite.201600176 doi PQ20170501 (DE-627)OLC1992492115 (DE-599)GBVOLC1992492115 (PRQ)w864-9e730a1db89669918e9fa88bbac3be4545ce366339d79b154adccd06fce06fff3 (KEY)0068642520170000089000500686anaerobicdigestionmodelam2forthedescriptionofbioga DE-627 ger DE-627 rakwb eng 660 DE-101 540 AVZ Arzate, Juan A verfasserin aut Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants. Nutzungsrecht: © 2017 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim Identifiability Anaerobic digestion model Anaerobic digestion Biogas Kirstein, Max oth Ertem, Funda C oth Kielhorn, Erich oth Ramirez Malule, Howard oth Neubauer, Peter oth Cruz‐Bournazou, M. Nicolas oth Junne, Stefan oth Enthalten in Chemie - Ingenieur - Technik Weinheim : Wiley-VCH Verl., 1949 89(2017), 5, Seite 686-695 (DE-627)12953384X (DE-600)215592-8 (DE-576)014961490 0009-286X nnns volume:89 year:2017 number:5 pages:686-695 http://dx.doi.org/10.1002/cite.201600176 Volltext http://onlinelibrary.wiley.com/doi/10.1002/cite.201600176/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_20 GBV_ILN_22 GBV_ILN_30 GBV_ILN_34 GBV_ILN_63 GBV_ILN_70 GBV_ILN_120 GBV_ILN_140 GBV_ILN_164 GBV_ILN_170 GBV_ILN_186 GBV_ILN_267 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2129 GBV_ILN_2245 GBV_ILN_2542 GBV_ILN_4306 AR 89 2017 5 686-695
spelling	10.1002/cite.201600176 doi PQ20170501 (DE-627)OLC1992492115 (DE-599)GBVOLC1992492115 (PRQ)w864-9e730a1db89669918e9fa88bbac3be4545ce366339d79b154adccd06fce06fff3 (KEY)0068642520170000089000500686anaerobicdigestionmodelam2forthedescriptionofbioga DE-627 ger DE-627 rakwb eng 660 DE-101 540 AVZ Arzate, Juan A verfasserin aut Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants. Nutzungsrecht: © 2017 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim Identifiability Anaerobic digestion model Anaerobic digestion Biogas Kirstein, Max oth Ertem, Funda C oth Kielhorn, Erich oth Ramirez Malule, Howard oth Neubauer, Peter oth Cruz‐Bournazou, M. Nicolas oth Junne, Stefan oth Enthalten in Chemie - Ingenieur - Technik Weinheim : Wiley-VCH Verl., 1949 89(2017), 5, Seite 686-695 (DE-627)12953384X (DE-600)215592-8 (DE-576)014961490 0009-286X nnns volume:89 year:2017 number:5 pages:686-695 http://dx.doi.org/10.1002/cite.201600176 Volltext http://onlinelibrary.wiley.com/doi/10.1002/cite.201600176/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_20 GBV_ILN_22 GBV_ILN_30 GBV_ILN_34 GBV_ILN_63 GBV_ILN_70 GBV_ILN_120 GBV_ILN_140 GBV_ILN_164 GBV_ILN_170 GBV_ILN_186 GBV_ILN_267 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2129 GBV_ILN_2245 GBV_ILN_2542 GBV_ILN_4306 AR 89 2017 5 686-695
allfields_unstemmed	10.1002/cite.201600176 doi PQ20170501 (DE-627)OLC1992492115 (DE-599)GBVOLC1992492115 (PRQ)w864-9e730a1db89669918e9fa88bbac3be4545ce366339d79b154adccd06fce06fff3 (KEY)0068642520170000089000500686anaerobicdigestionmodelam2forthedescriptionofbioga DE-627 ger DE-627 rakwb eng 660 DE-101 540 AVZ Arzate, Juan A verfasserin aut Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants. Nutzungsrecht: © 2017 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim Identifiability Anaerobic digestion model Anaerobic digestion Biogas Kirstein, Max oth Ertem, Funda C oth Kielhorn, Erich oth Ramirez Malule, Howard oth Neubauer, Peter oth Cruz‐Bournazou, M. Nicolas oth Junne, Stefan oth Enthalten in Chemie - Ingenieur - Technik Weinheim : Wiley-VCH Verl., 1949 89(2017), 5, Seite 686-695 (DE-627)12953384X (DE-600)215592-8 (DE-576)014961490 0009-286X nnns volume:89 year:2017 number:5 pages:686-695 http://dx.doi.org/10.1002/cite.201600176 Volltext http://onlinelibrary.wiley.com/doi/10.1002/cite.201600176/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_20 GBV_ILN_22 GBV_ILN_30 GBV_ILN_34 GBV_ILN_63 GBV_ILN_70 GBV_ILN_120 GBV_ILN_140 GBV_ILN_164 GBV_ILN_170 GBV_ILN_186 GBV_ILN_267 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2129 GBV_ILN_2245 GBV_ILN_2542 GBV_ILN_4306 AR 89 2017 5 686-695
allfieldsGer	10.1002/cite.201600176 doi PQ20170501 (DE-627)OLC1992492115 (DE-599)GBVOLC1992492115 (PRQ)w864-9e730a1db89669918e9fa88bbac3be4545ce366339d79b154adccd06fce06fff3 (KEY)0068642520170000089000500686anaerobicdigestionmodelam2forthedescriptionofbioga DE-627 ger DE-627 rakwb eng 660 DE-101 540 AVZ Arzate, Juan A verfasserin aut Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants. Nutzungsrecht: © 2017 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim Identifiability Anaerobic digestion model Anaerobic digestion Biogas Kirstein, Max oth Ertem, Funda C oth Kielhorn, Erich oth Ramirez Malule, Howard oth Neubauer, Peter oth Cruz‐Bournazou, M. Nicolas oth Junne, Stefan oth Enthalten in Chemie - Ingenieur - Technik Weinheim : Wiley-VCH Verl., 1949 89(2017), 5, Seite 686-695 (DE-627)12953384X (DE-600)215592-8 (DE-576)014961490 0009-286X nnns volume:89 year:2017 number:5 pages:686-695 http://dx.doi.org/10.1002/cite.201600176 Volltext http://onlinelibrary.wiley.com/doi/10.1002/cite.201600176/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_20 GBV_ILN_22 GBV_ILN_30 GBV_ILN_34 GBV_ILN_63 GBV_ILN_70 GBV_ILN_120 GBV_ILN_140 GBV_ILN_164 GBV_ILN_170 GBV_ILN_186 GBV_ILN_267 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2129 GBV_ILN_2245 GBV_ILN_2542 GBV_ILN_4306 AR 89 2017 5 686-695
allfieldsSound	10.1002/cite.201600176 doi PQ20170501 (DE-627)OLC1992492115 (DE-599)GBVOLC1992492115 (PRQ)w864-9e730a1db89669918e9fa88bbac3be4545ce366339d79b154adccd06fce06fff3 (KEY)0068642520170000089000500686anaerobicdigestionmodelam2forthedescriptionofbioga DE-627 ger DE-627 rakwb eng 660 DE-101 540 AVZ Arzate, Juan A verfasserin aut Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants. Nutzungsrecht: © 2017 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim Identifiability Anaerobic digestion model Anaerobic digestion Biogas Kirstein, Max oth Ertem, Funda C oth Kielhorn, Erich oth Ramirez Malule, Howard oth Neubauer, Peter oth Cruz‐Bournazou, M. Nicolas oth Junne, Stefan oth Enthalten in Chemie - Ingenieur - Technik Weinheim : Wiley-VCH Verl., 1949 89(2017), 5, Seite 686-695 (DE-627)12953384X (DE-600)215592-8 (DE-576)014961490 0009-286X nnns volume:89 year:2017 number:5 pages:686-695 http://dx.doi.org/10.1002/cite.201600176 Volltext http://onlinelibrary.wiley.com/doi/10.1002/cite.201600176/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_20 GBV_ILN_22 GBV_ILN_30 GBV_ILN_34 GBV_ILN_63 GBV_ILN_70 GBV_ILN_120 GBV_ILN_140 GBV_ILN_164 GBV_ILN_170 GBV_ILN_186 GBV_ILN_267 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2129 GBV_ILN_2245 GBV_ILN_2542 GBV_ILN_4306 AR 89 2017 5 686-695
language	English
source	Enthalten in Chemie - Ingenieur - Technik 89(2017), 5, Seite 686-695 volume:89 year:2017 number:5 pages:686-695
sourceStr	Enthalten in Chemie - Ingenieur - Technik 89(2017), 5, Seite 686-695 volume:89 year:2017 number:5 pages:686-695
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topic_facet	Identifiability Anaerobic digestion model Anaerobic digestion Biogas
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author	Arzate, Juan A
spellingShingle	Arzate, Juan A ddc 660 ddc 540 misc Identifiability misc Anaerobic digestion model misc Anaerobic digestion misc Biogas Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates
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topic_title	660 DE-101 540 AVZ Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates Identifiability Anaerobic digestion model Anaerobic digestion Biogas
topic	ddc 660 ddc 540 misc Identifiability misc Anaerobic digestion model misc Anaerobic digestion misc Biogas
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title	Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates
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title_full	Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates
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title_sort	anaerobic digestion model (am2) for the description of biogas processes at dynamic feedstock loading rates
title_auth	Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates
abstract	The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants.
abstractGer	The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants.
abstract_unstemmed	The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models. The anaerobic digestion under dynamic loading rates was simulated with the anaerobic digestion model no. 1 (ADM1) and the anaerobic digestion model AM2 in a comparative study with maize silage as feedstock. It is shown that the AM2 is well applicable with only 6 states, which is beneficial at the typically limited monitoring capacities at biogas plants.
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container_issue	5
title_short	Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates
url	http://dx.doi.org/10.1002/cite.201600176 http://onlinelibrary.wiley.com/doi/10.1002/cite.201600176/abstract
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author2	Kirstein, Max Ertem, Funda C Kielhorn, Erich Ramirez Malule, Howard Neubauer, Peter Cruz‐Bournazou, M. Nicolas Junne, Stefan
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up_date	2024-07-04T05:03:46.884Z
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