IEA HPT Project 67: Digital Services for Heat Pumps

José Joaquín Aguilera Prado

Your Contact

Contact me

Indtast venligst et validt navn
Or your phone number
?
Thank you for your message
Vi beklager

På grund af en teknisk fejl kan din henvendelse desværre ikke modtages i øjeblikket. Du er velkommen til at skrive en mail til Send e-mail eller ringe til +45 72 20 29 03.

Grøn jordklode - bæredygtighed

IEA HPT Project 67: Digital Services for Heat Pumps

Project start September 2025. Expected completion date August 2028.

Heat pumps are a crucial component of the green energy transition. But how do we ensure they operate as efficiently and intelligently as possible? The answer lies in digitalization.

This project addresses the challenge of advancing digital services for heat pumps to optimize their design, production, integration, operation, and maintenance. Through Danish participation in the international collaboration IEA Heat Pumping Technologies (HPT), we are working to solidify the role of heat pumps as a key element in the future decarbonized energy system.

The project aims to enhance the efficiency and flexibility of heat pump systems, thereby contributing to the global energy transition and the achievement of climate goals.

Building on IEA HPT Annex 56, the project utilizes advanced technologies such as digital twins, semantic modelling, augmented reality, and data-driven methods.

Focus Areas in the Heat Pump Lifecycle
The project addresses three different stages of the heat pump's lifecycle.

1. Product Design and Development This area focuses on how advanced digital tools can optimize the design and development of heat pumps. Specifically, it explores how technologies such as semantic modelling, digital twins, and hardware-in-the-loop can:

  • Improve product quality
  • Reduce costs
  • Minimize material waste
  • Enhance overall efficiency in product development.

2. Integration and Installation This area investigates how visualization and data analysis technologies can improve the installation process. By using augmented reality and data-driven analysis, the goal is to:

  • Identify optimal installation locations
  • Mitigate noise emissions
  • Detect installation errors
  • Improve commissioning accuracy.

 

3. Optimal Operation and Maintenance This area focuses on how data-based and model-based optimization techniques can ensure efficient and reliable operation. The objectives are to:

  • Minimize operational costs
  • Reduce CO2 emissions
  • Optimize energy flexibility
  • Predict and address factors affecting the heat pump's performance.

International Collaboration and Knowledge Sharing
The project highlights the importance of dissemination and collaboration with both national and international stakeholders. Planned activities include workshops, conferences, technical events, and articles in industry publications. The project outputs will also consist of a publicly accessible knowledge base on digital methods for heat pumps, supplemented by reports, articles, and presentations.

Project Partners
The Danish participation in the project is managed by a strong collaboration between Danish Technological Institute (project lead) and DTU Construct.

Funding
The project is funded by the Energy Technology Development and Demonstration Programme (EUDP). EUDP supports the development and demonstration of new technology that helps to meet Denmark's energy and climate objectives.