Abstract

Advance in the numerical simulation models brings higher need for more accuracy outdoor boundary conditions - climate data sets. With influence of the urban heat islands, measured climate on the meadows, far from pawed surfaces creates uncertainty in the simulation. Another problem is the modelling of solar radiation impact on the surface temperatures. Solar radiation heats up the surface of the structure and increase the speed of vapor transport. To obtain correct results, global and diffuse solar radiation is needed in the HAM software. In this paper, influence of the diffuse part of solar radiation is analyzed. As it would be shown, correct modeling of the solar radiation, both global and diffuse is very important to reach good precision. This analysis is done in software WUFI Pro and compared with the experimental measurement of the wooden wall fragments.

Highlights

  • Accuracy of Heat-Air-Moisture (HAM) simulation depends on detailed material properties [1, 2] as well as on boundary conditions

  • Global solar radiation Long wave radiation measured on horizontal surface

  • If there is no diffuse solar radiation (SR) component incorporated, short wave absorption (SWA) needs to be higher, good match was obtained by use of the value 0.55

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Summary

Introduction

Accuracy of Heat-Air-Moisture (HAM) simulation depends on detailed material properties [1, 2] as well as on boundary conditions. As sunlight passes through the atmosphere, some of it is absorbed, scattered, and reflected by: air molecules, water vapor, clouds, dust, pollutants etc. The solar radiation (SR) that reaches the Earth's surface without being diffused is called direct beam solar radiation. The sum of the diffuse and direct solar radiation is called global solar radiation. Atmospheric conditions can reduce direct beam radiation by 10% on clear, dry days and by 100% during thick, cloudy days. The diffuse solar radiation is measured only in six locations thorough the country. Https://doi.org/10.10 51/matecconf /201928202093 and used as boundary conditions in HAM software and simulation results are compared to the experimental wooden wall measurement

Outdoor climate measurement
Heat-Air-Moisture simulation
Results and discussion
Conclusion

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