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Estimation of energy efficiency of heat pumps in residential buildings using real operation data
Brudermueller, Tobias; Potthoff, Ugne; Fleisch, Elgar; u. a. (2025): Estimation of energy efficiency of heat pumps in residential buildings using real operation data, in: Bamberg: Otto-Friedrich-Universität, S. 1–15.
Faculty/Chair:
Publisher Information:
Year of publication:
2025
Pages:
Source/Other editions:
Nature Communications, London: Springer Nature, 2025, Jg. 16, Nr. Article number: 2834, S. 1–15, ISSN: 2041-1723
Year of first publication:
2025
Language:
English
Abstract:
As heat pumps become more prevalent in residential buildings, effective performance monitoring is essential. Design flaws, incorrect settings, and
faults can escalate energy consumption and costs, leading to discrepancies in user expectations and hindering the widespread adoption of this technology crucial for the heating transition.However, field studies using large data sets to offer insights into real-world performance and methods for identifying lowperforming systems in practical, scalable applications are lacking. In the largest field study to date, we analyze sensor data from 1023 heat pumps across Central Europe monitored over two years. Based on existing approaches for controlled laboratory conditions, we derive methods to evaluate and classify real-world performance using operational data. Applying these methods, we find that 17% of air-source and 2% of ground-source heat pumps do not meet existing efficiency standards. Additionally, around 10% of systems are oversized, while approximately 1% are undersized. This underscores the need for standardized post-installation performance evaluation procedures and digital tools to provide actionable feedback for users and installers to enhance operational efficiency and guide future installations.
faults can escalate energy consumption and costs, leading to discrepancies in user expectations and hindering the widespread adoption of this technology crucial for the heating transition.However, field studies using large data sets to offer insights into real-world performance and methods for identifying lowperforming systems in practical, scalable applications are lacking. In the largest field study to date, we analyze sensor data from 1023 heat pumps across Central Europe monitored over two years. Based on existing approaches for controlled laboratory conditions, we derive methods to evaluate and classify real-world performance using operational data. Applying these methods, we find that 17% of air-source and 2% of ground-source heat pumps do not meet existing efficiency standards. Additionally, around 10% of systems are oversized, while approximately 1% are undersized. This underscores the need for standardized post-installation performance evaluation procedures and digital tools to provide actionable feedback for users and installers to enhance operational efficiency and guide future installations.
Keywords:
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Type:
Article
Activation date:
March 18, 2026
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https://fis.uni-bamberg.de/handle/uniba/110865