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.

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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. 

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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.

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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.

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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.

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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.

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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.

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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. 

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