@misc{11985,
  abstract     = {{ Die vorliegende Offenbarung betrifft ein Verfahren zur Temperaturprognose und/oder Wärmebedarfsprognose eines Gebäudes, umfassend Bereitstellen einer gemessenen Innentemperatur in dem Gebäude; Bereitstellen einer Außentemperatur in Umgebung des Gebäudes; Bereitstellen einer in das Gebäude eingebrachten Wärmemenge; Bereitstellen eines thermischen Modells des Gebäudes, wobei das thermische Modell die folgenden drei Modellparameter aufweist: einen Wärmewiderstand für einen Wärmeübergang von innerhalb des Gebäudes nach außerhalb des Gebäudes; einen Koeffizienten zur Beschreibung eines solaren Wärmeeintrags, und eine Wärmespeicherkapazität des Gebäudes. Das Verfahren umfasst einen Schritt des Anpassens der Modellparameter des thermischen Modells, derart, dass das thermische Modell den Zusammenhang zwischen Innentemperatur, Außentemperatur und Wärmemenge approximiert. }},
  author       = {{Bast, Oliver and Bollhöfer, Fynn Christian and Franzen, Lion and Knoop, Michael and Üpping, Johannes}},
  pages        = {{29}},
  title        = {{{Verfahren zur Temperaturprognose und/oder Wärmebedarfsprognose eines Gebäudes und Wärmepumpe}}},
  year         = {{2024}},
}

@misc{8467,
  abstract     = {{A decarbonisation of the energy system is necessary to reduce greenhouse gas emissions and thus achieve the climate protection goals. For this reason, the renewable energy share in the power grids of many countries is increasing. In order to stabilize the energy system and increase its flexibility, energy management systems are needed. This paper offers a model of energy management system which starts from the network operator and ends at the consumer (an electric vehicle). Firstly, a controllable local system signal, which is sent through a smart meter gateway from the grid operator to the consumer, has been developed. The signal is based on the renewable energy share in the local grid, on the electricity exchange price and on a defined profile. Then, different charging modes, which regulate the energy consumption based on the signal, have been developed and field tested. Finally, the charging modes have been simulated in order to better compare the data. The results show that with smart charging, 90% of the energy demand can be rescheduled. In view of the load shifting, greenhouse gas emissions and energy costs can be reduced.}},
  author       = {{Schaffer, Maria and Bollhöfer, Fynn Christian and Üpping, Johannes}},
  booktitle    = {{International Journal of Energy Production and Management}},
  issn         = {{2056-3280 }},
  keywords     = {{electric vehicles, energy management systems, load shifting, renewable energy, smart grids.}},
  number       = {{2}},
  pages        = {{101 -- 113}},
  publisher    = {{WIT Press}},
  title        = {{{Load shifting potential of electric vehicles using management systems for increasing renewable energy share in smart grids}}},
  doi          = {{10.2495/EQ-V7-N2-101-113}},
  volume       = {{7}},
  year         = {{2022}},
}

@inbook{7824,
  author       = {{Üpping, Johannes and Schaffer, Maria and Bollhöfer, Fynn Christian}},
  booktitle    = {{Nachhaltiger Konsum}},
  isbn         = {{9783658333522}},
  title        = {{{Vergleich von Ladestrategien zur Minderung von CO2 Emissionen für batterieelektrische Fahrzeuge}}},
  doi          = {{10.1007/978-3-658-33353-9_38}},
  year         = {{2021}},
}

@misc{8468,
  author       = {{Üpping, Johannes and Bollhöfer, Fynn Christian and Forche, Kim Alina}},
  booktitle    = {{ International Journal of Smart Grid and Clean Energy}},
  issn         = {{2315-4462}},
  number       = {{1}},
  pages        = {{1--7}},
  publisher    = {{SGCE Editorial Office}},
  title        = {{{Size of a distributed electrical storage for a rural area with a wind farm}}},
  doi          = {{10.12720/sgce.9.1.1-7}},
  volume       = {{9}},
  year         = {{2020}},
}