@inproceedings{BaumannHuberPreissingeretal.2022,
  author    = {Christian Baumann and Gerhard Huber and Markus Prei{\"s}inger and Peter Kepplinger},
  title     = {A cloud-based flexibility estimation method for domestic heat pumps},
  series = {Heat Powered Cycles Conference. University of the Basque Country, Bilbao, Spain. 10th-13th April 2022. Conference Proceedings},
  editor    = {Roger Riehl},
  publisher = {Heat Powered Cycles},
  address   = {o.O.},
  doi       = {https://doi.org/10.5281/zenodo.7234548},
  pages     = {650 -- 661},
  year      = {2022},
  abstract  = {Flexibility estimation is the first step necessary to incorporate building energy systems into demand side management programs. We extend a known method for temporal flexibility estimation from literature to a real-world residential heat pump system, solely based on historical cloud data. The method proposed relies on robust simplifications and estimates employing process knowledge, energy balances and manufacturer's information. Resulting forced and delayed temporal flexibility, covering both domestic hot water and space heating demands as constraints, allows to derive a flexibility range for the heat pump system. The resulting temporal flexibility lay within the range of 24 minutes and 6 hours for forced and delayed flexibility, respectively. This range provides new insights into the system's behaviour and is the basis for estimating power and energy flexibility - the first step necessary to incorporate building energy systems into demand side management programs.},
  language  = {en}
}