Abstract
Active magnetic regeneration (AMR) is refrigeration concept that provides higher energy efficiency as compared to conventional vapor compression refrigeration techniques. However, AMR poses a complex problem of heat transfer, fluid dynamics and magnetic field, which requires detailed and robust modeling. To solve this complex problem, fast and flexible numerical model is developed to study—in detail—the operation of AMR systems. Once the model is established, a sensitivity analysis has to be done and the performance characteristics have to be investigated. In order to analyze the performance of AMR systems, a new approach—based on the statistical design of experiments (DOE) method—is developed and presented in this paper. It will be demonstrated how the DOE method can help to obtain maximum information and results from the analysis of an AMR system at minimum computation cost. Furthermore, based on the developed approach, some optimal operating-regions are determined and evaluated in this paper.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
