Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Leveraging Zone Air Temperature Data to Improve Physics-Based Energy Simulation of Existing Buildings

Sang Hoon Lee1, Tianzhen Hong1
1Lawrence Berkeley National Laboratory, Berkeley, United States

DOI: https://doi.org/10.26868/25222708.2017.137
Abstract: 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.
Pages: 528 - 535
Paper:
BS2017_137