@proceedings{31294,
  author = {Sang Hoon Lee and Tianzhen Hong},
  title = {Leveraging Zone Air Temperature Data to Improve Physics-Based Energy Simulation of Existing Buildings},
  abstract = {<p>The paper introduces a hybrid modelling approach that enhances the accuracy and usability of physics-based energy simulation for existing buildings. The approach leverages measured zone air temperature data streams— increasingly available from smart thermostats—to derive difficult-to-obtain input parameters for internal thermal mass and infiltration airflow rates. It does so using a reformulated inverse heat balance algorithm. We implemented the inverse algorithms in EnergyPlus and used LBNL's Facility for Low Energy eXperiments (FLEXLAB) for demonstration and validation.</p>},
  year = {2017},
  journal = {Building Simulation 2017},
  month = {08/2017},
  publisher = {IBPSA},
  address = {Building Simulation 2017},
  url = {https://doi.org/10.26868/25222708.2017.137},
  doi = {10.26868/25222708.2017.137},
  language = {eng},
}