会议论文详细信息
2016 International Conference on New Energy and Future Energy System | |
Hong Kong CIE sky classification and prediction by accessible weather data and trees-based methods | |
Lou, S.^1 ; Li, D.H.W.^1 ; Lam, J.C.^1 | |
Building Energy Research Group, Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong^1 | |
关键词: Climatic parameters; Daylight illuminance; Daylighting design; International Commission; Meteorological station; Sky luminance distribution; Solar irradiances; Vertical buildings; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/40/1/012018/pdf DOI : 10.1088/1755-1315/40/1/012018 |
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来源: IOP | |
【 摘 要 】
Solar irradiance and daylight illuminance are important for solar energy and daylighting designs. Recently, the International Commission of Illuminance (CIE) adopted a range of sky conditions to represent the possible sky distributions which are crucial to the estimation of solar irradiance and daylight illuminance on vertical building facades. The important issue would be whether the sky conditions are correctly identified by the accessible variables. Previously, a number of climatic parameters including sky luminance distributions, vertical solar irradiance and sky illuminance were proposed for the CIE sky classification. However, such data are not always available. This paper proposes an approach based on the readily accessible data that systematically recorded by the local meteorological station for many years. The performance was evaluated using measured vertical solar irradiance and illuminance. The results show that the proposed approach is reliable for sky classification.【 预 览 】
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Hong Kong CIE sky classification and prediction by accessible weather data and trees-based methods | 1134KB | download |