Energy Performance Certificates (EPCs) or Building Energy Ratings (BERs) in Ireland, are mandated for buildings constructed, sold, or leased across the European Union (EU). They are the foremost source of information on energy use in EU building stocks which informs climate policy. However, the use of EPC data to predict energy use and the impact of policy interventions is questionable.
Inherent in all EPC methodologies are trade-offs between reproducibility, accuracy, assessor expertise and costs. Since input data is often based on worst-case default and standardised operating conditions; the results outputted by EPC methodologies can only offer an estimation of the actual building energy consumption. Indeed, there can be a major gap between theoretical and actual measured energy consumed in occupied buildings.
PREDICT addresses this gap through the creation of an adaptive in-use factor (IUF) tool to predict occupied building energy use.
SEAI grant number 23/RDD/1046
Company Details
- Industry
- Research Services
- NAICS
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Scientific Research and Development ServicesResearch and Development in the Physical, Engineering, and Life SciencesResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
Predict Questions
Predict's LinkedIn profile is https://www.linkedin.com/company/seai-predict
Predict's industry is
Research Services
Predict's top competitors are
Ai Geo Navigators,
Goarn - Global Outbreak Alert And Response Network,
Metrosofts,
Built Environment Research And Innovation Centre (Beric),
Geoenergy Ni,
Alternō,
Sustainable Energy Authority Of Ireland (Seai),
Norges Bank,
Mtm Engineering Ltd,
Infosan - Spital De Oftalmologie.
Predict's categories are Research Services
