Publikationen
2020
Schlüter, W.; Wagner, D.
Optimization of Operational Parameters in Biogas Plants using the Anaerobic Digestion Model Number 1 (ADM1) Artikel Open Access
In: Simulation Notes Europe, Bd. 30, S. 11–14, 2020, ISBN: 2305-9974.
Abstract | BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, model based optimization, Nachwachsende Rohstoffe | Links:
@article{WagnerD..,
title = {Optimization of Operational Parameters in Biogas Plants using the Anaerobic Digestion Model Number 1 (ADM1)},
author = {W. Schl\"{u}ter and D. Wagner },
url = {https://www.sne-journal.org/fileadmin/user_upload_sne/SNE_Issues_OA/SNE_30_1/articles/sne.30.1.10503.sn.OA.pdf},
doi = {0.11128/sne.30.sn.10503},
isbn = {2305-9974},
year = {2020},
date = {2020-10-10},
urldate = {2020-10-10},
journal = {Simulation Notes Europe},
volume = {30},
pages = {11--14},
abstract = {While the main objective in energy production is the reduction of fossil fuels, CO2-production by fossil fuels increased over the last decade. Therefore the need for usage of regenerative energies is obvious. Biogas plants are advantageous because they can be used with-out spatial limitation and their substrate is abundant ubiquitously as it covers the whole range of produced organic matter from photosynthesis, municipal, industri-al and animal waste. Although the need for optimization strategies is given, the fermentation process in biogas plants is complex and therefore traditional optimization approaches are cumbersome and carry the risk of com-plete plant failure. In this paper the optimization poten-tial of the ADM1, which represents a detailed description of the anaerobic digestion process is analysed and com-pared to the standard ADM1 setup. Technical parame-ters like substrate composition and dilution rate are optimized to yield a high methane gas flow. It is shown that the optimization of substrate composition has a direct impact on the maximum applicable dilution rate. It is also shown that the feeding rate can be increased to yield higher productivities with optimized substrate compositions.},
keywords = {Biogas plants, Biogasanlagen, model based optimization, Nachwachsende Rohstoffe},
pubstate = {published},
tppubtype = {article}
}
While the main objective in energy production is the reduction of fossil fuels, CO2-production by fossil fuels increased over the last decade. Therefore the need for usage of regenerative energies is obvious. Biogas plants are advantageous because they can be used with-out spatial limitation and their substrate is abundant ubiquitously as it covers the whole range of produced organic matter from photosynthesis, municipal, industri-al and animal waste. Although the need for optimization strategies is given, the fermentation process in biogas plants is complex and therefore traditional optimization approaches are cumbersome and carry the risk of com-plete plant failure. In this paper the optimization poten-tial of the ADM1, which represents a detailed description of the anaerobic digestion process is analysed and com-pared to the standard ADM1 setup. Technical parame-ters like substrate composition and dilution rate are optimized to yield a high methane gas flow. It is shown that the optimization of substrate composition has a direct impact on the maximum applicable dilution rate. It is also shown that the feeding rate can be increased to yield higher productivities with optimized substrate compositions.
2019
Wagner, D.; Gröper, M.
13. Rostocker Bioenergieforum, Universität Rostock -- Agrar- und Umweltwissenschaftliche Fakultät: Modellprädiktive Regelung von Biogasanlagen durch Mechanistische Modelle und Maschinelles Lernen Konferenzberichte
Univ., Professur Abfall- und Stoffstromwirtschaft, Rostock, 2019.
BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, Biomasse, Regeltechnik
@proceedings{GroperM.Wagner.2019,
title = {13. Rostocker Bioenergieforum, Universit\"{a}t Rostock -- Agrar- und Umweltwissenschaftliche Fakult\"{a}t: Modellpr\"{a}diktive Regelung von Biogasanlagen durch Mechanistische Modelle und Maschinelles Lernen},
author = {D. Wagner and M. Gr\"{o}per },
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
publisher = {Univ., Professur Abfall- und Stoffstromwirtschaft},
address = {Rostock},
institution = {DBFZ Deutsches Biomasseforschungszentrum gemeinn\"{u}tzige GmbH, Leitung},
keywords = {Biogas plants, Biogasanlagen, Biomasse, Regeltechnik},
pubstate = {published},
tppubtype = {proceedings}
}
Gröper, M.; Wagner, D.
Biogas in der Landwirtschaft - Stand und Perspektiven: Regelung von Biogasanlagen durch Kombination von mechanistischen Modellen und maschinellem Lernen Buch
Power4Bio - Regions for Bioeconomy, Leipzig, 2019, ISBN: 9783945088685.
BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, Regeltechnik
@book{WagnerD.GroperM..2019,
title = {Biogas in der Landwirtschaft - Stand und Perspektiven: Regelung von Biogasanlagen durch Kombination von mechanistischen Modellen und maschinellem Lernen},
author = {M. Gr\"{o}per and D. Wagner },
isbn = {9783945088685},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
publisher = {Power4Bio - Regions for Bioeconomy},
address = {Leipzig},
institution = {FNR},
keywords = {Biogas plants, Biogasanlagen, Regeltechnik},
pubstate = {published},
tppubtype = {book}
}
2018
Wagner, D.; Schlüter, W.
1st International Conference on Business meets Technology: Simulation-based determination of operating limits for biogas plants Konferenzberichte
Hedderich B., Walter M. S. J., Gröner P., Ansbach, Bd. 882, 2018.
Abstract | BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, Simulation | Links:
@proceedings{Wagner.2018,
title = {1st International Conference on Business meets Technology: Simulation-based determination of operating limits for biogas plants},
author = {D. Wagner and W. Schl\"{u}ter },
doi = {10.4028/www.scientific.net/AMM.882.45},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
volume = {882},
pages = {45--52},
publisher = {Hedderich B., Walter M. S. J., Gr\"{o}ner P.},
address = {Ansbach},
institution = {Hochschule Ansbach},
abstract = {Reducing the use of fossil fuels for energy production is one of the main objectives in 21st century. In order to achieve this target renewable energy resources (like agricultural waste) in biogas plants can be used. An anaerobic bacterial fermentation process digests the substrates into methane and carbon dioxide. The process itself has strong fluctuations in terms of net methane yield due to different amounts and composition of agricultural influents. For increasing the space time yield two main difficulties are encountered. The first one is system-specific and includes stirrer design and reactor geometry. The second affects the biotechnological fermentation process. The following work is focusing on the fermentation process. The determination of critical parameters for the optimization of the anaerobic microbial digestion is investigated. An economic approach for solving these problems is only feasible by using mathematical models and simulation. Consequently two fermentation models are compared by regarding parameter sensitivity and critical operational points. The first one is based on simple Monod-kinetics while the second one is extended with two steps of fermentation and therefore two different microbial consortia and additive inhibition effects. The complex model is able to describe different phenomena in more detail. But its estimability and therefore its validation is difficult without further investigation of the model structure and the reduction of the model complexity. One important result of the investigation is that stable process conditions with simultaneous high yields are depending on a careful adjustment of the loading rate and therefore requiring precise model parameters.},
keywords = {Biogas plants, Biogasanlagen, Simulation},
pubstate = {published},
tppubtype = {proceedings}
}
Reducing the use of fossil fuels for energy production is one of the main objectives in 21st century. In order to achieve this target renewable energy resources (like agricultural waste) in biogas plants can be used. An anaerobic bacterial fermentation process digests the substrates into methane and carbon dioxide. The process itself has strong fluctuations in terms of net methane yield due to different amounts and composition of agricultural influents. For increasing the space time yield two main difficulties are encountered. The first one is system-specific and includes stirrer design and reactor geometry. The second affects the biotechnological fermentation process. The following work is focusing on the fermentation process. The determination of critical parameters for the optimization of the anaerobic microbial digestion is investigated. An economic approach for solving these problems is only feasible by using mathematical models and simulation. Consequently two fermentation models are compared by regarding parameter sensitivity and critical operational points. The first one is based on simple Monod-kinetics while the second one is extended with two steps of fermentation and therefore two different microbial consortia and additive inhibition effects. The complex model is able to describe different phenomena in more detail. But its estimability and therefore its validation is difficult without further investigation of the model structure and the reduction of the model complexity. One important result of the investigation is that stable process conditions with simultaneous high yields are depending on a careful adjustment of the loading rate and therefore requiring precise model parameters.
Bartsch, A.; Gröper, M.
3.tes Bayrisches Wissenschaftsforum: Intelligente Biogasanlagen im regionalen Raum Konferenzberichte
BayWISS, 2018.
BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, Biomasse
@proceedings{GroperM.BartschA..2018b,
title = {3.tes Bayrisches Wissenschaftsforum: Intelligente Biogasanlagen im regionalen Raum},
author = {A. Bartsch and M. Gr\"{o}per },
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
publisher = {BayWISS},
keywords = {Biogas plants, Biogasanlagen, Biomasse},
pubstate = {published},
tppubtype = {proceedings}
}
Wagner, D.; Schlüter, W.
ASIM 2018 - 24. Symposium Simulationstechnik. HCU Hamburg, ARGESIM Report: Optimization of operational parameters in biogas plants using the anaerobic digestion model number 1 (ADM1) Konferenzberichte
ARGESIM Verlag, Bd. 56, 2018, ISBN: 9783901608124.
Abstract | BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, Simulation | Links:
@proceedings{Wagner.2018b,
title = {ASIM 2018 - 24. Symposium Simulationstechnik. HCU Hamburg, ARGESIM Report: Optimization of operational parameters in biogas plants using the anaerobic digestion model number 1 (ADM1)},
author = {D. Wagner and W. Schl\"{u}ter },
doi = {10.4028/www.scientific.net/AMM.882.45},
isbn = {9783901608124},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
volume = {56},
pages = {45--52},
publisher = {ARGESIM Verlag},
abstract = {Reducing the use of fossil fuels for energy production is one of the main objectives in 21st century. In order to achieve this target renewable energy resources (like agricultural waste) in biogas plants can be used. An anaerobic bacterial fermentation process digests the substrates into methane and carbon dioxide. The process itself has strong fluctuations in terms of net methane yield due to different amounts and composition of agricultural influents. For increasing the space time yield two main difficulties are encountered. The first one is system-specific and includes stirrer design and reactor geometry. The second affects the biotechnological fermentation process. The following work is focusing on the fermentation process. The determination of critical parameters for the optimization of the anaerobic microbial digestion is investigated. An economic approach for solving these problems is only feasible by using mathematical models and simulation. Consequently two fermentation models are compared by regarding parameter sensitivity and critical operational points. The first one is based on simple Monod-kinetics while the second one is extended with two steps of fermentation and therefore two different microbial consortia and additive inhibition effects. The complex model is able to describe different phenomena in more detail. But its estimability and therefore its validation is difficult without further investigation of the model structure and the reduction of the model complexity. One important result of the investigation is that stable process conditions with simultaneous high yields are depending on a careful adjustment of the loading rate and therefore requiring precise model parameters.},
keywords = {Biogas plants, Biogasanlagen, Simulation},
pubstate = {published},
tppubtype = {proceedings}
}
Reducing the use of fossil fuels for energy production is one of the main objectives in 21st century. In order to achieve this target renewable energy resources (like agricultural waste) in biogas plants can be used. An anaerobic bacterial fermentation process digests the substrates into methane and carbon dioxide. The process itself has strong fluctuations in terms of net methane yield due to different amounts and composition of agricultural influents. For increasing the space time yield two main difficulties are encountered. The first one is system-specific and includes stirrer design and reactor geometry. The second affects the biotechnological fermentation process. The following work is focusing on the fermentation process. The determination of critical parameters for the optimization of the anaerobic microbial digestion is investigated. An economic approach for solving these problems is only feasible by using mathematical models and simulation. Consequently two fermentation models are compared by regarding parameter sensitivity and critical operational points. The first one is based on simple Monod-kinetics while the second one is extended with two steps of fermentation and therefore two different microbial consortia and additive inhibition effects. The complex model is able to describe different phenomena in more detail. But its estimability and therefore its validation is difficult without further investigation of the model structure and the reduction of the model complexity. One important result of the investigation is that stable process conditions with simultaneous high yields are depending on a careful adjustment of the loading rate and therefore requiring precise model parameters.
Bartsch, A.; Gröper, M.
12. Rostocker Bioenergieforum, Rostock, Schriftenreihe Umweltingenieurwesen: Integration von flexibilisierten und intelligenten Biogasanlagen in einem Verbund von Energieerzeugern im regionalen Raum Konferenzberichte
Univ., Professur Abfall- und Stoffstromwirtschaft, Rostock, Bd. 78, 2018, ISBN: 9783860094730.
BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, Digitalisation | Links:
@proceedings{GroperM.BartschA..2018,
title = {12. Rostocker Bioenergieforum, Rostock, Schriftenreihe Umweltingenieurwesen: Integration von flexibilisierten und intelligenten Biogasanlagen in einem Verbund von Energieerzeugern im regionalen Raum},
author = {A. Bartsch and M. Gr\"{o}per },
url = {https://bioenergieforum.auf.uni-rostock.de/files/Tagungsband_12_BEF_2018.pdf},
isbn = {9783860094730},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
volume = {78},
publisher = {Univ., Professur Abfall- und Stoffstromwirtschaft},
address = {Rostock},
institution = {DBFZ Deutsches Biomasseforschungszentrum gemeinn\"{u}tzige GmbH, Leitung},
keywords = {Biogas plants, Biogasanlagen, Digitalisation},
pubstate = {published},
tppubtype = {proceedings}
}
Bartsch, A.
Internationale Konferenz der IBBK Biogas,~Fortschritt Gülle und Gärreste 2018: Gewässerschutz und besondere Anforderungen an Biogasanlagen in der AwSV Konferenzberichte
IBBK Biogas, Schwäbisch Hall, 2018.
BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, Gesetzeslage
@proceedings{BartschA..2018c,
title = {Internationale Konferenz der IBBK Biogas,~Fortschritt G\"{u}lle und G\"{a}rreste 2018: Gew\"{a}sserschutz und besondere Anforderungen an Biogasanlagen in der AwSV},
author = {A. Bartsch },
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
publisher = {IBBK Biogas},
address = {Schw\"{a}bisch Hall},
institution = {IBBK Biogas},
keywords = {Biogas plants, Biogasanlagen, Gesetzeslage},
pubstate = {published},
tppubtype = {proceedings}
}
Schlüter, W.; Wagner, D.
Model-based computation of critical operation points in biogas producing plants Artikel
In: Applied Mechanics and Materials (AMM), Nr. 882, 2018.
Abstract | BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, model based optimization | Links:
@article{WagnerD..2018,
title = {Model-based computation of critical operation points in biogas producing plants},
author = {W. Schl\"{u}ter and D. Wagner },
url = {https://www.researchgate.net/publication/326553770_Model-Based_Computation_of_Critical_Operation_Points_in_Biogas_Producing_Plants},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Applied Mechanics and Materials (AMM)},
number = {882},
abstract = {Reducing the use of fossil fuels for energy production is one of the main objectives in 21 st century. In order to achieve this target renewable energy resources (like agricultural waste) in biogas plants can be used. An anaerobic bacterial fermentation process digests the substrates into methane and carbon dioxide. The process itself has strong fluctuations in terms of net methane yield due to different amounts and composition of agricultural influents. For increasing the space time yield two main difficulties are encountered. The first one is system-specific and includes stirrer design and reactor geometry. The second affects the biotechnological fermentation process. The following work is focusing on the fermentation process. The determination of critical parameters for the optimization of the anaerobic microbial digestion is investigated. An economic approach for solving these problems is only feasible by using mathematical models and simulation. Consequently two fermentation models are compared by regarding parameter sensitivity and critical operational points. The first one is based on simple Monod-kinetics while the second one is extended with two steps of fermentation and therefore two different microbial consortia and additive inhibition effects. The complex model is able to describe different phenomena in more detail. But its estimability and therefore its validation is difficult without further investigation of the model structure and the reduction of the model complexity. One important result of the investigation is that stable process conditions with simultaneous high yields are depending on a careful adjustment of the loading rate and therefore requiring precise model parameters.},
keywords = {Biogas plants, Biogasanlagen, model based optimization},
pubstate = {published},
tppubtype = {article}
}
Reducing the use of fossil fuels for energy production is one of the main objectives in 21 st century. In order to achieve this target renewable energy resources (like agricultural waste) in biogas plants can be used. An anaerobic bacterial fermentation process digests the substrates into methane and carbon dioxide. The process itself has strong fluctuations in terms of net methane yield due to different amounts and composition of agricultural influents. For increasing the space time yield two main difficulties are encountered. The first one is system-specific and includes stirrer design and reactor geometry. The second affects the biotechnological fermentation process. The following work is focusing on the fermentation process. The determination of critical parameters for the optimization of the anaerobic microbial digestion is investigated. An economic approach for solving these problems is only feasible by using mathematical models and simulation. Consequently two fermentation models are compared by regarding parameter sensitivity and critical operational points. The first one is based on simple Monod-kinetics while the second one is extended with two steps of fermentation and therefore two different microbial consortia and additive inhibition effects. The complex model is able to describe different phenomena in more detail. But its estimability and therefore its validation is difficult without further investigation of the model structure and the reduction of the model complexity. One important result of the investigation is that stable process conditions with simultaneous high yields are depending on a careful adjustment of the loading rate and therefore requiring precise model parameters.
Schlüter, W.; Wagner, D.
Tagungsband Workshop 2018 der Arbeitsgemeinschaft Simulation ASIM in der Gesellschaft für Informatik GI: Simulationsbasierte Bestimmung optimaler Betriebsparameter von Biogasanlagen Konferenzberichte
ARGESIM Verlag, Wien, Bd. 54, 2018, ISBN: 9783901608193.
BibTeX | Schlagwörter: Biogas plants, Biogasanlagen, Simulation
@proceedings{WagnerD..2018b,
title = {Tagungsband Workshop 2018 der Arbeitsgemeinschaft Simulation ASIM in der Gesellschaft f\"{u}r Informatik GI: Simulationsbasierte Bestimmung optimaler Betriebsparameter von Biogasanlagen},
author = {W. Schl\"{u}ter and D. Wagner },
isbn = {9783901608193},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
volume = {54},
publisher = {ARGESIM Verlag},
address = {Wien},
keywords = {Biogas plants, Biogasanlagen, Simulation},
pubstate = {published},
tppubtype = {proceedings}
}
2016
Böhm, R.; Schaidhauf, R. M.; Spanheimer, R.; Erdmann, D. M.; Franke, J.
Flexibilization of Biogas Plants through Intelligent Automation Generates Earning Opportunities Artikel
In: Advanced Engineering Forum, Bd. 19, S. 74–80, 2016.
Abstract | BibTeX | Schlagwörter: Biogas plants, Digitalisation, Direct Marketing, Energy Flexibility, Feed-In Tariffs | Links:
@article{Bohm.2016,
title = {Flexibilization of Biogas Plants through Intelligent Automation Generates Earning Opportunities},
author = {R. B\"{o}hm and R. M. Schaidhauf and R. Spanheimer and D. M. Erdmann and J. Franke },
doi = {10.4028/www.scientific.net/AEF.19.74},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
journal = {Advanced Engineering Forum},
volume = {19},
pages = {74--80},
abstract = {Due to guaranteed feed-in tariffs under the Renewable Energy Act and the feed-in precedence of renewable power generation plants the operation of biogas plants in Germany is currently plannable and economically advantageous. However, it is foreseeable that without this subvention biogas plants cannot compete with other regenerative plants such as photovoltaic and wind power plants on the open electricity market. Accordingly, it is of great importance for biogas plant operators to identify and occupy suitable niches to make full use of the unique features of their plants. Because of their predictable availability, those plants can particularly benefit of earning opportunities in times of high demand and contribute to grid stabilization. In order to keep the effort for plant operators as low as possible the automation of existing biogas plants can be extended and enabled to communicate with market platforms or control centers of the distribution system operator. Thus biogas plants can contribute to balancing group compensation not only for accounting purposes but factual by appropriate feed-in into the electrical network in consideration of actual demand.},
keywords = {Biogas plants, Digitalisation, Direct Marketing, Energy Flexibility, Feed-In Tariffs},
pubstate = {published},
tppubtype = {article}
}
Due to guaranteed feed-in tariffs under the Renewable Energy Act and the feed-in precedence of renewable power generation plants the operation of biogas plants in Germany is currently plannable and economically advantageous. However, it is foreseeable that without this subvention biogas plants cannot compete with other regenerative plants such as photovoltaic and wind power plants on the open electricity market. Accordingly, it is of great importance for biogas plant operators to identify and occupy suitable niches to make full use of the unique features of their plants. Because of their predictable availability, those plants can particularly benefit of earning opportunities in times of high demand and contribute to grid stabilization. In order to keep the effort for plant operators as low as possible the automation of existing biogas plants can be extended and enabled to communicate with market platforms or control centers of the distribution system operator. Thus biogas plants can contribute to balancing group compensation not only for accounting purposes but factual by appropriate feed-in into the electrical network in consideration of actual demand.