Browse > Article
http://dx.doi.org/10.6110/KJACR.2017.29.4.159

Calculation Method for the Transmitted Solar Irradiance Using the Total Horizontal Irradiance  

Jeon, Byung-Ki (Department of Architectural Engineering, Graduate school, Inha University)
Lee, Seung-Eun (Department of Architectural Engineering, Inha University)
Kim, Eui-Jong (Department of Architectural Engineering, Inha University)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.29, no.4, 2017 , pp. 159-166 More about this Journal
Abstract
The growing global interest in energy saving is particularly evident in the building sector. The transmitted solar irradiance is an important input in the prediction of the building-energy load, but it is a value that is difficult to measure. In this paper, a calculation method, for which the total horizontal irradiance that can be easily measured is employed, for the measurement of the transmitted solar irradiance through windows is proposed. The method includes a direct and diffuse split model and a variable-transmittance model. The results of the proposed calculation model are compared with the TRNSYS-simulation results at each stage for the purpose of validation. The final results show that the CVRMSE over the year between the proposed model and the reference is less than 30 %, whereby the ASHRAE guideline was achieved.
Keywords
Total horizontal irradiance; Direct and diffuse split model; Variable transmittance rate; Weather data;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Kwak, Y. H., Cheon, S. H., and Jang, C. Y., 2013, Real-time Energy Demand Prediction Method Using Weather Forecasting Data and Solar Model, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 25, No. 6, pp. 310-316.   DOI
2 Wetter, M. and Haves, P., 2008, A modular building controls virtual test bed for the integration of heterogeneous systems, Third National Conference of IBPSAUSA, SimBuild, pp. 69-76.
3 Pang, X., Wetter, M., Bhattacharya, P., and Haves, P., 2012, A framework for simulation-based real-time whole building performance assessment, Building and Environment, Vol. 54, pp. 100-108.   DOI
4 Collares-Pereira, M. and Rabl, A., 1979, The average distribution of solar radiation correlations between diffuse and hemispherical and between daily and hourly insolation values, Solar Energy, pp. 155-164.
5 Luis, M., Eduard A., and Bulent A., 2010, Solar energy input estimation for urban scales application, 8th International conference on System simulation in buildings.
6 Lee, H. Y., Yoon, S. H., and Park, C. S., 2015, The effect of direct and diffuse split models on building energy simulatioin, Journal of the Architectural Institute of Korea, Vol. 31, No. 11, pp. 221-229.
7 Liu, B. Y. B. and Jordan, R. C., 1960, The interrelationship and characteristic distribution of direct, diffuse, and total solar radiation, Solar Energy, Vol. 4, pp. 1-19.
8 Kim, E. J., 2014, Development of simplified building models for the bottom-up approach to a city-scale energy demand prediction, Journal of the Architectural Institute of Korea, Vol. 30, No. 4, pp. 207-215.   DOI
9 Land, 1985, Global Transmissivity and diffuse fraction of solar radiation for clear and cloudy skies as measured and as predicted by bulk transmissivity models, Solar Energy, Vol. 35, No. 2, pp. 105-118.   DOI
10 Reindl, D. T. and Beckman, W. A., 1990, Diffuse fraction correlations, Solar Energy, Vol. 45, No. 1, pp. 1-7.   DOI
11 ASHRAE, 2012, Measurement of energy and demand saving, ASHRAE.