Welcome to ClimaCheck’s International Training!
2022 year’s International Training will be held in Stockholm, the 5-6 of May.
Use this opportunity to meet experts from all over the world to share knowledge and experiences. During the two days training, you will also get a deeper insight in the use of ClimaCheck for energy optimisation as well as predictive maintenance.
Following COP26 and the earlier IPCC report, it is clear that energy efficiency is one of the keys to a sustainable future. Taking HVACR system for granted is not an alternative anymore, for organisations that are serious with sustainability. Therefore, we will go through how to introduce predictive maintenance and energy optimisation in HVACR system.
Depending on your experience you can do the level 1 or level 2 training (max 20 participants per level).
Register by emailing us at: Training@ClimaCheck.com (last day to register is 21th of march)
The venue is booked, after your registration you will get access to a “book your room link”.
The price is 660€ per participant. If you registered before the 20th of January 2022, you got the early bird price.
- IPCC putting pressure on our industry
- IEA HPT Annex 52
- Predictive Maintenance guide
- Reduction of peak loads
- Large projects
- New ClimaCheck onsite software
- New ClimaCheck online platform
Level 1, focus on the basics of performance analysis of refrigeration, air-conditioning and heat pump systems, including:
- Measuring & verification with ClimaCheck on basic systems
- Training in the use of ClimaCheck onsite (hard- and software)
- How to interpret results from measures
- How to create a performance report on standard systems
- A first introduction to ClimaCheck online
Level 2 focus on ClimaCheck based optimisation for those who has practical experience from field measurements. This training aims to develop your understanding of analyse complex systems to implement predictive maintenance, as well as:
- Deeper analyse of ClimaCheck data
- Application of ClimaCheck to complex systems
- Optimisation and reporting
- Early warnings for Predictive Maintenance