@inproceedings{bibcite_36516,
  keywords = {Component model},
  author = {Hongxiang Fu and Ettore Zanetti and Jianjun Hu and David Blum and Michael Wetter},
  title = {A Modelica Implementation of an Organic Rankine Cycle},
  abstract = {<p>Organic Rankine cycle (ORC) systems generate power from low-grade heat sources, such as geothermal sources and industrial waste heat. A key feature is that a working fluid is selected to match the temperature of the source. With the vast pool of candidate working fluids comes the challenge of developing a large number of robust thermodynamic media models. We implemented a subcritical ORC model in Modelica that uses working fluid data records and interpolation schemes in lieu of thermodynamic medium evaluation for energy recovery estimation. This is a component model that can be integrated into a larger energy system model. It does not require detailed thermodynamic, heat transfer, or machine analysis. Our ORC model fills a gap where working fluids are ready to choose or easy to add, and at the same time can be integrated into an energy system.</p>},
  year = {2024},
  volume = {207},
  pages = {127-135},
  month = {02/12/2024},
  institution = {Link{\"o}ping University Electronic Press},
  publisher = {Link{\"o}ping University Electronic Press},
  issn = {1650-3686},
  url = {https://doi.org/10.3384/ecp207127},
  doi = {10.3384/ecp207127},
}