ServiceUpdated on 12 September 2024
Predictive maintenance and real-time operation optimization for heat pump and refrigeration systems using cloud computing and digital twins
About
We have experience developing and implementing toolchains that reduce the impact of faults on the performance of heat pump and refrigeration systems using digital twin technology. This technology involves suitable and modular simulation models that are adjusted over time based on measurements. By coupling this technology with optimization algorithms and cloud computing, we can define optimal maintenance intervals and set point adjustments in real time for different levels of performance degradation. This has the potential to increase the energy efficiency of heat pump and refrigeration systems while reducing operation and maintenance costs.
Type
- Technology Partner
- R&D Partner
- Consultant
Similar opportunities
Project cooperation
- R&D Partner
Arpad Török
researcher at Sesam Technology SRL Berceni
Romania
Service
- Consultant
- R&D Partner
- Technology Partner
Haoshui Yu
Associate professor at Aalborg University
Denmark
Project cooperation
CM2024-06: Heating and cooling technologies for home appliances
- R&D Partner
- Demonstrator
- Technology Partner
Merve Özhavutçu
R&D Engineer at Beko
İstanbul, Türkiye