Application of sensitivity and uncertainty analyses in the calculation of the heat transfer coefficient of a window

Pavol Hrebík

doi:10.2478/v10189-012-0015-6

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Application of sensitivity and uncertainty analyses in the calculation of the heat transfer coefficient of a window

Slovak Journal of Civil Engineering

Volume 20 (2012): Issue 3 (September 2012)

By: Pavol Hrebík

Open Access

|Nov 2012

Abstract

The type of analysis we choose to use depends on exactly what we intend to explore. TheMonte Carlo (MCA) method, which can be applied to a sensitivity analysis (SA) and anuncertainty analysis (UA), is based on the random selection of a random variablegenerated by all the input parameters X. This paper discusses a realistic model ofa window and is focused on the uncertainties of the input and a sensitivity analysis of theoutput parameters - a window is a heat transfer coefficient. A case study is described toevaluate the necessity of the use of uncertainty and sensitivity analyses.

References

[1] Campolongo, F., Saltelli, A. (1997) Sensitivity analysis of an environmental model: an application of different analysismethods. Reliability Engineering and System Safety, Vol. 57: pp. 49-69.10.1016/S0951-8320(97)00021-5
Search in Google Scholar
[2] Clarke, J.A., et al., 1990. The harmonization of thermal properties of building materials, Building Environmental Performance Analysis Club, Building Research Establishment, Watford UK.
Search in Google Scholar
[3] CORRADO, V., MECHRI H-E (2009) Uncertainty and Sensitivity Analysis for Building Energy Rating. Journal of Building Physics, pp. 125-156.10.1177/1744259109104884
Search in Google Scholar
[4] Experimental Heat Transfer: A Journal of Thermal Energy Generation, Transport, Storage, and Conversion Volume 9, Issue 1, 1996.
Search in Google Scholar
[5] Fang, Y., Eames, P., Norton, B., (2002) Experimental validationof a numerical model for heat transfer in evacuated glazing.
Search in Google Scholar
[6] KOTEK, P. (2007) Metoda MonteCarlo jako optimalizaceenergetické náročnosti budov (MonteCarlo method as a toolfor optimalization of total energy consumption of buildings), Prague.
Search in Google Scholar
[7] MACDONALD , I., (2002) Quantifying the effects ofuncertainty in building simulation - PhD thesis. University of Strathclyde, Department of Mechanical Engineering. Glasgow, UK.
Search in Google Scholar
[8] Saltelli, A., et al., (1990) Non-parametric statistics in sensitivity analysis for model output: a comparison of selected techniques. Reliability Engineering and System Safety, 28.10.1016/0951-8320(90)90065-U
Search in Google Scholar
[9] Campolongo, F., et al., (1997). Sensitivity analysis of an environmental model: an application of different analysis methods. Reliability Engineering and System Safety, 57.10.1016/S0951-8320(97)00021-5
Search in Google Scholar
[10] Saltelli, A., et al., (2004) Sensitivity analysis in practice: A guide to assessing scientific models.
Search in Google Scholar
[11] Saltelli A., Tarantola S., Campolongo F., Ratto M., (2005) Sensitivity analysis in practice: a guide to assessing scientificmodels, Wiley.
Search in Google Scholar
[12] Simlab, http://simlab.jrc.ec.europa.eu/, version 2.2.
Search in Google Scholar
[13] STN EN ISO 13790 (2004) Výpočet potreby energie na vykurovanie (Calculation of energy use for space heating)
Search in Google Scholar
[14] STN 73 0540 (2002) Tepelná ochrana budov (Thermal protection of buildings).
Search in Google Scholar
[15] Svendsen, S., Laustsen, J., Kragh, J., (2004) Linear thermaltransmittance of the assembly of the glazing and the frame inwindows
Search in Google Scholar
[16] http://mathieu.fenniak.net/latin-hypercube-sampling/
Search in Google Scholar