Leveraging Zone Air Temperature Data to Improve Physics-Based Energy Simulation of Existing Buildings
Date Published |
08/2017
|
---|---|
Publication Type | Conference Proceedings
|
Authors | |
---|---|
DOI |
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. |
Conference Name |
Building Simulation 2017
|
Year of Conference |
2017
|
Publisher |
IBPSA
|
Conference Location |
Building Simulation 2017
|
URL | |
Refereed Designation |
Refereed
|
Organizations | |
Research Areas | |
File(s) | |
Download citation |