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Research Papers

An Inverse Parameter Estimation Method for Building Thermal Analysis

[+] Author and Article Information
A. Moftakhari

School of Mechanical Engineering,
K. N. Toosi University of Technology,
Tehran 19697 64499, Iran
e-mail: ardeshir_2010@yahoo.com

C. Aghanajafi

School of Mechanical Engineering,
K. N. Toosi University of Technology,
Tehran 19697 64499, Iran

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received April 27, 2015; final manuscript received December 23, 2015; published online February 1, 2016. Assoc. Editor: Jorge E. Gonzalez.

J. Sol. Energy Eng 138(2), 021004 (Feb 01, 2016) (11 pages) Paper No: SOL-15-1110; doi: 10.1115/1.4032476 History: Received April 27, 2015; Revised December 23, 2015

The aim of this study is to introduce a new solution methodology for thermal parameter estimation in building engineering science. By defining a good numerical modeling, inverse algorithm provides us a chance to enhance design conditions in building thermal analysis. The definition of mathematical governing equations and a good solution method to solve them direct the analysis procedure to find temperature distribution using dynamic coding in the computational field. In fact, inverse algorithm utilizes known data resulted from numerical modeling in order to determine the unknown value of important thermal design properties in building problems. The results obtained from implementation of such algorithms demonstrate the accuracy and precision of this new thermal analysis methodology with those of real data resulted from experiments in building problems.

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References

Figures

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Fig. 1

Radiation from the surface of a body

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Fig. 2

The flow chart of solution algorithm

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Fig. 3

The radiant systems inside a residential building

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Fig. 4

Building load simulation with both code and software

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Fig. 5

Conduction heat transfer relative sensitivity factor

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Fig. 6

Interior convection heat transfer relative sensitivity factor

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Fig. 7

Exterior convection heat transfer relative sensitivity factor

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