Hong Kong CIE sky classification and prediction by accessible weather data and trees-based methods

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Article number12018
Journal / PublicationIOP Conference Series: Earth and Environmental Science
Volume40
Issue number1
Publication statusPublished - 26 Sep 2016

Conference

Title2016 International Conference on New Energy and Future Energy System, NEFES 2016
PlaceChina
CityBeijing
Period19 - 22 August 2016

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Abstract

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.

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