Comparison of Meteorological Climate Data Sets from Greater Žilina and their Influence on Temperatures within the Experimental Wall

Abstract:

The experimental wall fragment (consisting of five different sections) was completed in 2010. Temperatures inside the sections had been recorded since. The laboratory centre of our department is also equipped with the own detached experimental weather station. In this paper, the outdoor boundary conditions obtained from the experimental weather station are compared to the automated weather station Dolny Hricov and to the phenological weather station in Zilina (with registering period of three times a day), both maintained by Slovak Hydrometeorological Institute (SHMU). For the comparison, there were selected 14 days from the years 2014-2016, to find some extremes. Differences between the data sets obtained from the stations were computed to each other and analysed in terms of boundary conditions for the HAM computer simulations. Differences between the temperatures under finish of the experimental wall fragment were found out by use of ESP-r software.

• Periodical: Applied Mechanics and Materials (Volume 861)
• Pages: 327-334
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.861.327
• Online since: December 2016
• Authors: Daniela Staffenova, Radoslav Ponechal
• Keywords: Comparison of Data Sets, Exterior Temperatures, Real Boundary Conditions, Weather Stations

References

[1] R. Wai Ki Wu, M. Horvat, Simulation Study of Building Envelope Performance Using Microclimatic Meteorological Data, In: International High Performance Buildings Conference, Purdue, 2010, pp.1-8.

[2] M. Beccali, I. Bertini, G. Ciulla, B. Di Pietra, V. Lo Brano, Software for weather databases management and construction of reference years, In: Proceedings of Building Simulation 2011: 12th Conference of International Building Performance Simulation Association, Sydney, 2011, pp.1182-1186.

[3] STN EN ISO 15927-4: Hygrothermal performance of buildings. Calculation and presentation of climatic data. Part 4: Hourly data for assessing the annual energy use for heating and cooling, Slovak Office of Standards, Metrology and Testing, Bratislava, (2006).

DOI: 10.3403/30114395

[4] W. S. Cleveland, S. J Devlin, Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting, J. Am. Stat. Assoc. 83 (1988) pp.596-610.

DOI: 10.1080/01621459.1988.10478639

[5] Information on: https: /www. google. com.

[6] Climate atlas of Slovakia, Bratislava, 2015. [CD-Rom].

[7] P. Juras, R. Ponechal, Measurement of lightweight experimental wall and comparison with different simulation programs, Appl. Mech. Mater. 820 (2016) pp.262-269.

DOI: 10.4028/www.scientific.net/amm.820.262

[8] Information on http: /www. esru. strath. ac. uk/publications. htm.

[9] M. Vertal, P. Durica, Bestimmung von Feuchtetechnischen Materialparametern ausgewahlter Baumaterialien fur die rechnerische Bewertung von Baukonstruktionen unter den Bedingungen in der Slowakei, Bauphysik 31 (2009) pp.386-392.

DOI: 10.1002/bapi.200910050

[10] M. Cekon, M. Kalousek, J. Hraska, Verification of MZELWE module in ESP-r program with experimental confrontation, In: Research and Applications in Structural Engineering, Mechanics and Computation, Taylor&Francis Group, Cape Town, 2013, pp.649-650.

DOI: 10.1201/b15963-328

[11] P. Juras, P. Durica, Influence of wind direction on wind-driven rain load as boundary condition for HAM simulation on high rise buildings with usage of traditional cement-lime coatings, In: Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association, Hyderabad, 2015, pp.842-849.

DOI: 10.26868/25222708.2015.2339

[12] I. Pobocikova, Z. Sedliackova, J. Simon, Statistical analysis of wind speed data based on Weibull and Rayleigh distribution, Communications: Scientific letters of the University of Zilina Vol. 16 (2014) pp.136-141.

DOI: 10.26552/com.c.2014.3a.136-141

[13] K. Orehounig, E. M. Doppelbauer, A. Mahdavi, W. Loibl, T. Totzer, Climate change, Building design and thermal performance In: Proceedings of Building Simulation 2011: 12th Conference of International Building Performance Simulation Association, Sydney, 2011, pp.750-756.

DOI: 10.1080/19401491003763378

[14] A. N. Celik, Analysis of Ankara's Exposure to Solar Radiation: Evaluation of Distributional Parameters Using Long-Term Hourly Measured Global Solar Radiation Data, Turkish J. Eng. Env. Sci. 30 (2006) pp.115-126.

DOI: 10.2298/tsci0704125d

[15] J. Clemens, Entwicklung eines einfachen Modells zur Abschätzung der sommerlichen Überwärmung in Gebäuden, (2000).

[16] I. Csaky, F. Kalmar: Effects of solar radiation asymmetry on buildings' cooling energy needs, J. Build. Phys. 40 (2016) pp.35-54.