PREDICT – PRedicting Energy using Dynamic Indicators in a Calibrated Tool Development of an adaptive in-use factor tool to reduce the energy performance gap in buildings
Improving building energy use predictions based on occupancy
Project Insights
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€738,713
Total Project Costs -
3 yr
Project Duration -
2023
Year Funded
Project Description
This project addresses the discrepancy of theoretical and actual measured energy use in individual dwellings and its impact on building energy ratings/energy performance certificates in Ireland. In particular, the project focuses on developing an adaptive in-use factor (IUF) tool to predict occupied building energy use. Parameters of various defined influence are applied alongside building and energy system information to account for multiple occupancy and in-use cases. This project will use large datasets to define and validate the IUF based on monitored data, surveys, interviews, and calibrated physics models. The large database, consolidated and added to during the project, will also be made publicly available, to facilitate the expedition of future building stock and energy policy research in Ireland.
Project Details
Total Project Cost: €738,713
Funding Agency: Sustainable Energy Authority of Ireland (SEAI)
Year Funded: 2023
Lead Organisation: Technological University Dublin
Partner Organisation(s): University of Galway, IES R&D, Tyndall National Institute
Collaborators: IGBC, DCSix Technologies