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Estimation of Thermal Networks Using Singular Value Decomposition Method

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Author

Summary, in English

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.

Department/s

Publishing year

2009

Language

English

Pages

39-57

Publication/Series

Experimental Heat Transfer

Volume

22

Issue

1

Document type

Journal article

Publisher

Taylor & Francis

Topic

  • Energy Engineering

Keywords

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

Status

Published

ISBN/ISSN/Other

  • ISSN: 0891-6152