Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
660184 | International Journal of Heat and Mass Transfer | 2010 | 13 Pages |
Abstract
A new Proper Orthogonal Decomposition (POD) based reduced order modeling approach for temperature field calculation in multi-scale convective systems is presented. Using POD modes for the entire domain, the energy equation is solved only at the most important scales via Galerkin projection to have an efficient and accurate enough model for design. Comparing with Computational Fluid Dynamics/Heat Transfer simulation shows that the method can predict the temperature field at the rack scale of a sample air-cooled data center with the average error norm of ∼6% for different sets of design parameters, while it can be up to ∼250 times faster.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Fluid Flow and Transfer Processes
Authors
Emad Samadiani, Yogendra Joshi,