Publikationen
2022
Breunig, P.
Der Wirtschaftlichkeit auf der Spur Artikel
In: Ausg. 7/2022, 2022.
BibTeX | Schlagwörter: Direct Marketing, Direktvermarktung, Energy Flexibility, model based optimization, Sustainability, Systemdienstleistungen
@article{nokey,
title = {Der Wirtschaftlichkeit auf der Spur},
author = {P. Breunig },
editor = {DLG-Mitteilungen},
year = {2022},
date = {2022-07-01},
urldate = {2022-07-01},
issue = {7/2022},
keywords = {Direct Marketing, Direktvermarktung, Energy Flexibility, model based optimization, Sustainability, Systemdienstleistungen},
pubstate = {published},
tppubtype = {article}
}
2021
Ratka, A.; Hofmann, J.; Ernst, W.
Model Based Optimization of an Insulating Panel Made from Biogenic Residues Artikel
In: Construction and Building Materials, Bd. Volume 318, S. 125807, 2021, ISSN: 0950-0618.
Abstract | BibTeX | Schlagwörter: Biogenic Residues, Energy Flexibility, Insulating panels, model based optimization, Sustainability, Thermal conductivity | Links:
@article{nokey,
title = {Model Based Optimization of an Insulating Panel Made from Biogenic Residues},
author = {A. Ratka and J. Hofmann and W. Ernst
},
editor = {Elsevier},
doi = {https://doi.org/10.1016/j.conbuildmat.2021.125807},
issn = {0950-0618},
year = {2021},
date = {2021-12-01},
urldate = {2021-12-01},
journal = {Construction and Building Materials},
volume = {Volume 318},
pages = {125807},
abstract = {Within the scope of this article is the development of a mathematical model of an insulating panel made from grain husks and the optimization of the panel regarding the thermal characteristics by using this self-developed thermodynamically model. The model comprises one husk as the smallest unit of the insulating panel. In order to solve the model analytically, the following relevant parameters have been determined:
− husk geometry
− density of the pure husk material
− thermal conductivity of the pure husk material
− emission coefficient of the husk's surface
− convection coefficient inside the husks
− density of the binder
− thickness of the binder
− thermal conductivity of the binder
The solved model is validated with produced insulating panels out of grain husks. The optimization of the effective thermal conductivity λeff is done regarding the following parameters:
− the filling gas
− the edge length of the husks
According to the results of the simulation, by using Xenon as filling gas instead of air, the effective thermal conductivity λeff can be reduced by 21.6 %. The optimal value of the husk’s edge length a depends on the filling gas und therefore varies between 4 and 6 mm. The optimization of the edge length leads to a reduction of the effective thermal conductivity λeff of 7.5 %, according to the model.
When implementing individual calculated optimizations in real insulation boards, the thermal conductivity could be improved by up to 32 %. The project is funded by BMWi, the German ministry of economy and energy, and supervised by AiF, the working group of industrial research associations.},
keywords = {Biogenic Residues, Energy Flexibility, Insulating panels, model based optimization, Sustainability, Thermal conductivity},
pubstate = {published},
tppubtype = {article}
}
Within the scope of this article is the development of a mathematical model of an insulating panel made from grain husks and the optimization of the panel regarding the thermal characteristics by using this self-developed thermodynamically model. The model comprises one husk as the smallest unit of the insulating panel. In order to solve the model analytically, the following relevant parameters have been determined:
− husk geometry
− density of the pure husk material
− thermal conductivity of the pure husk material
− emission coefficient of the husk's surface
− convection coefficient inside the husks
− density of the binder
− thickness of the binder
− thermal conductivity of the binder
The solved model is validated with produced insulating panels out of grain husks. The optimization of the effective thermal conductivity λeff is done regarding the following parameters:
− the filling gas
− the edge length of the husks
According to the results of the simulation, by using Xenon as filling gas instead of air, the effective thermal conductivity λeff can be reduced by 21.6 %. The optimal value of the husk’s edge length a depends on the filling gas und therefore varies between 4 and 6 mm. The optimization of the edge length leads to a reduction of the effective thermal conductivity λeff of 7.5 %, according to the model.
When implementing individual calculated optimizations in real insulation boards, the thermal conductivity could be improved by up to 32 %. The project is funded by BMWi, the German ministry of economy and energy, and supervised by AiF, the working group of industrial research associations.
− husk geometry
− density of the pure husk material
− thermal conductivity of the pure husk material
− emission coefficient of the husk's surface
− convection coefficient inside the husks
− density of the binder
− thickness of the binder
− thermal conductivity of the binder
The solved model is validated with produced insulating panels out of grain husks. The optimization of the effective thermal conductivity λeff is done regarding the following parameters:
− the filling gas
− the edge length of the husks
According to the results of the simulation, by using Xenon as filling gas instead of air, the effective thermal conductivity λeff can be reduced by 21.6 %. The optimal value of the husk’s edge length a depends on the filling gas und therefore varies between 4 and 6 mm. The optimization of the edge length leads to a reduction of the effective thermal conductivity λeff of 7.5 %, according to the model.
When implementing individual calculated optimizations in real insulation boards, the thermal conductivity could be improved by up to 32 %. The project is funded by BMWi, the German ministry of economy and energy, and supervised by AiF, the working group of industrial research associations.
2020
Haas, S.; Weiherer, S.; Walter, M. S. J.
Design of an Adsorption Refrigeration Machine with an Auxiliary Heater for CO2-Neutral Air-Conditioning of E-Vehicles Proceedings Article
In: Springer, (Hrsg.): Sustainability in Energy and Buildings. Smart Innovation, Systems and Technologies, 2020.
BibTeX | Schlagwörter: Energy Flexibility, Sustainability
@inproceedings{S.2020,
title = {Design of an Adsorption Refrigeration Machine with an Auxiliary Heater for CO2-Neutral Air-Conditioning of E-Vehicles},
author = {S. Haas and S. Weiherer and M. S. J. Walter
},
editor = {Springer},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {Sustainability in Energy and Buildings. Smart Innovation, Systems and Technologies},
volume = {163},
keywords = {Energy Flexibility, Sustainability},
pubstate = {published},
tppubtype = {inproceedings}
}
Fleischmann, A.; Bauer, B.; Braun, K.; Breunig, P.; Meyer, T.; Noack, P. O.; Saeed, M. A.; Wilmes, R.
Der smarte Kuhstall Artikel
In: Bayrisches Landwirtschaftliches Wochenblatt, Bd. 35, 2020.
BibTeX | Schlagwörter: Digitalisation, Energy Flexibility, Sustainability
@article{A.2020,
title = {Der smarte Kuhstall},
author = {A. Fleischmann and B. Bauer and K. Braun and P. Breunig and T. Meyer and P. O. Noack and M. A. Saeed and R. Wilmes },
editor = {Deutscher Landwirtschaftsverlag DLV},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {Bayrisches Landwirtschaftliches Wochenblatt},
volume = {35},
keywords = {Digitalisation, Energy Flexibility, Sustainability},
pubstate = {published},
tppubtype = {article}
}
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.