%0 Conference Proceedings
%A Sang Hoon Lee
%A Tianzhen Hong
%B Building Simulation 2017
%C Building Simulation 2017
%D 2017
%G eng
%I IBPSA
%R 10.26868/25222708.2017.137
%T Leveraging Zone Air Temperature Data to Improve Physics-Based Energy Simulation of Existing Buildings
%U https://doi.org/10.26868/25222708.2017.137
%8 08/2017
%X <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>