Development of optimization framework for Digital Twins

The project was represented at this year's ECOS 2022 conference with a study on a dynamic model for optimizing operation and increasing reliability of a large-scale heat pump for district heating operating with seawater and ammonia - a promising approach for further developing digital twin-based services.

José Joaquín Aguilera Prado receives the Elite Research Travel Grant

Talented PhD-student José Joaquín Aguilera Prado receives the prestigious Elite Research Travel Grant 2022 for his work in the project Digital Twins for large-scale heat pump and refrigeration systems where he is working with the development of new dynamic and adaptable models for large-scale heat pumps.

Digital Twins represented with three presentations at GL2022

The project contributed to this year's Gustav Lorentzen conference GL2022 with three presentations which gave a insight into the latest developments and results of the project. The presented methods and models are based on data provided from the demonstration cases attached to the project.

The concept of digital twins for heat pump and refrigeration systems

Digital twins are a virtual representation of a physical heat pump or refrigeration system in the form of numerical models, which are constantly adapting to the current operating conditions in order to exploit the technical potential most optimally.

Digital twin-based services

Digital Twins constitute the basis for a variety of services such as advanced system monitoring, optimization of system operation, and fault detection and diagnosis.

Project partners

The project consortium consists of eight partners from Germany and Denmark and includes industrial partners, an RTO institute, and three departments from two universities.

Modelling activities

The modelling activities in the project comprise numerical models with different levels of detail. The models are based on a combination of measurement data, component data, and physical relations.

Glossary

The glossary provides an overview of the most relevant expressions in the context of digital twins for large-scale heat pump and refrigeration systems.