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Benchmarking Building Energy Performance: Accuracy by involving occupants in collecting data : A case study in Germany

Title data

Wederhake, Lars ; Wenninger, Simon ; Wiethe, Christian ; Fridgen, Gilbert ; Stirnweiß, Dominic:
Benchmarking Building Energy Performance: Accuracy by involving occupants in collecting data : A case study in Germany.
In: Journal of Cleaner Production. Vol. 379, Part 2 (2022) . - 134762.
ISSN 0959-6526

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
No information

Abstract in another language

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.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Energy quantification methods; Energy performance certificate; Data-driven methods; Building data collection; Building energy performance; Energy efficiency
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 31 Oct 2022 10:53
Last Modified: 10 Oct 2023 12:28