Reference : Benchmarking building energy performance: Accuracy by involving occupants in collecti...
Scientific journals : Article
Engineering, computing & technology : Energy
Business & economic sciences : Management information systems
Security, Reliability and Trust; Sustainable Development
Benchmarking building energy performance: Accuracy by involving occupants in collecting data - A case study in Germany
Wederhake, Lars [> >]
Wenninger, Simon [> >]
Wiethe, Christian [> >]
Fridgen, Gilbert mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX]
Stirnweiß, Dominic [> >]
Journal of Cleaner Production
[en] Energy quantification methods ; Energy performance certificate ; Data-driven methods ; Building data collection ; Building energy performance ; Energy efficiency
[en] Energy performance certificates (EPC) aim to provide transparency about building energy performance (BEP) and benchmark buildings. Despite having qualified auditors examining buildings through on-site visits, BEP accuracy in EPCs is frequently criticized. Qualified auditors are often bound to engineering-based energy quantification methods. However, recent studies have revealed data-driven methods to be more accurate regarding benchmarking. Unlike engineering methods, data-driven methods can learn from data that non-experts might collect. This raises the question of whether data-driven methods allow for simplified data collection while still achieving the same accuracy as prescribed engineering-based methods. This study presents a method for selecting building variables, which even occupants can reliably collect and which at the same time contribute most to a data-driven method's predictive power. The method is tested and validated in a case study on a real-world data set containing 25,000 German single-family houses. Having all data collected by non-experts, results show that the data-driven method achieves about 35% higher accuracy than the currently used engineering method by qualified auditors. Our study proposes a stepwise method to design data-driven EPCs, outlines design recommendations, and derives policy implications.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other
FnR ; FNR13342933 > Gilbert Fridgen > DFS > Paypal-fnr Pearl Chair In Digital Financial Services > 01/01/2020 > 31/12/2024 > 2019

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