Climate Simulation of an Attic Using Future Weather Data Sets

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Details

Effects of climate change on a cold attic performance are considered. The hygro-thermal responses of the attic to different climate data sets are simulated numerically using different weather data sets for the period of 1961-2100 in four cities of Sweden. The weather data sets, which are the results of climate simulations, enclose different uncertainties. The uncertainties related to differences in spatial resolutions, global climate models (GCMs), CO2 emission scenarios and initial conditions are considered here. Analysis of the long term climate data demands suitable statistical methods. Nonparametric and parametric methods have been applied for analyzing the data. Using suitable statistical methods helps in understanding the importance of different uncertainties in the weather data and their effects on the attic simulation.

Autorentext

Vahid Moussavi Nik is a PhD student of Building Physics at Chalmers University of Technology, Sweden. He has the MSc. degree of Experimental and Numerical Turbulence from that university. He has the MSc. degree in Energy Conversion and BSc. degree in Mechanical Engineering from Ferdowsi University of Mashhad, Iran.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783838383194
    • Sprache Englisch
    • Genre Maschinenbau
    • Anzahl Seiten 180
    • Größe H220mm x B150mm x T12mm
    • Jahr 2010
    • EAN 9783838383194
    • Format Kartonierter Einband
    • ISBN 3838383192
    • Veröffentlichung 06.09.2010
    • Titel Climate Simulation of an Attic Using Future Weather Data Sets
    • Autor Vahid M. Nik
    • Untertitel Statistical Methods for Data Processing and Analysis
    • Gewicht 286g
    • Herausgeber LAP LAMBERT Academic Publishing

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