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Reduced Order Modeling and Compression of Data Produced by Simulations of Transient and Periodic Heat Transfer Processes

[+] Author Affiliations
Trevor J. Blanc, Matthew R. Jones, Steven E. Gorrell

Brigham Young University, Provo, UT

Earl P. N. Duque

Intelligent Light, Rutherford, NJ

Paper No. HT2013-17604, pp. V004T14A022; 10 pages
doi:10.1115/HT2013-17604
From:
  • ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology
  • Volume 4: Heat and Mass Transfer Under Extreme Conditions; Environmental Heat Transfer; Computational Heat Transfer; Visualization of Heat Transfer; Heat Transfer Education and Future Directions in Heat Transfer; Nuclear Energy
  • Minneapolis, Minnesota, USA, July 14–19, 2013
  • Conference Sponsors: Heat Transfer Division
  • ISBN: 978-0-7918-5550-8
  • Copyright © 2013 by ASME

abstract

Reduced Order Modeling may be used to obtain compact and computationally efficient representations of complex dynamic systems. The objective of this paper is to demonstrate the application of reduced order modeling techniques to systems undergoing thermal transients. In this paper, a reduced order model is defined as a spectral method in which the dominant features of a spatially and temporally varying temperature profile are represented using a relatively small set of basis vectors. Although various approaches are possible, reduced order modeling generally relies on the use the singular value decomposition of a matrix containing representative data to generate an orthonormal basis for the process to be modeled. The results presented in this paper illustrate reduced order modeling of periodic and transient heat transfer in an axisymmetric system. Measures demonstrating the accuracy and computational savings associated with the use of reduced order modeling are presented.

Copyright © 2013 by ASME

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