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This report presents an analysis of automated methods for diagnosing underperformance in domestic heat pumps—a crucial step toward accelerating the transition to low-carbon heating solutions. The challenge owner, Artificial Intelligence for Decarbonisation’s Virtual Centre of Excellence (ADViCE), is a collaborative initiative among Digital Catapult, Energy Systems Catapult, and The Alan Turing Institute. This Data Study Group aimed to develop data-driven approaches to identify performance issues related to system configuration, installation quality, and control strategies. The ultimate objective is to reduce through-life costs and increase homeowner confidence in adopting energy-efficient heat pumps.

Citation

Data Study Group Team. (2025). Data Study Group Final Report: Artificial Intelligence for Decarbonisation’s Virtual Centre of Excellence - Understanding Heat Pump Performance: Improving Efficiency and Adoption (Version 1). The Alan Turing Institute. https://doi.org/10.5281/zenodo.15877726

Data Study Group Team

  • Yujie Dai, University of Bristol
  • Chakron Dechkrut, Heriot-Watt University,
  • Aidan Kelly, Nesta
  • Bivin Pradeep, Coventry University
  • Thomas Safar, University of Oxford
  • Jonathan Saliba, Technical University of Delft
  • Dequn Teng, University of Cambridge
  • Jing Wei Teoh, Heriot-Watt University
  • Maxime Theisen, University of Cambridge
  • Apostolos Vavouris, University of Strathclyde
  • Zhihao Zhang, Heriot-Watt University
  • Samuel Young, Energy Systems Catapult (CO)
  • Francisco Gómez Medina, The Alan Turing Institute (PI)