Estimation of Thermal Networks Using Singular Value Decomposition Method

A. Saidi, P Magnusson, Bengt Sundén

Research output: Contribution to journalArticlepeer-review

1 Citation (SciVal)

Abstract

A model is developed using a thermal network analysis approach. An experimental setup is designed and built to validate the model. The model is based on an inverse thermal network analysis using a singular value decomposition algorithm. The data from the experiments are used to determine the thermal conductances using inverse model's unsteady- and steady-state forms. The model development and experimental results are presented together with possible sources of error and how to avoid or decrease their influence. Good agreement between the thermal network model predictions and experiments was found.
Original languageEnglish
Pages (from-to)39-57
JournalExperimental Heat Transfer
Volume22
Issue number1
DOIs
Publication statusPublished - 2009

Subject classification (UKÄ)

  • Energy Engineering

Keywords

  • inverse method
  • ill-conditioned
  • singular value decomposition
  • thermal network
  • thermal conductance

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