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

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

TitleLeveraging Zone Air Temperature Data to Improve Physics-Based Energy Simulation of Existing Buildings
Publication TypeConference Proceedings
Year of Publication2017
AuthorsSang Hoon Lee, Tianzhen Hong
Conference NameBuilding Simulation 2017
Date Published08/2017
PublisherIBPSA
Conference LocationBuilding Simulation 2017
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.

URLhttps://doi.org/10.26868/25222708.2017.137
DOI10.26868/25222708.2017.137
Refereed DesignationRefereed