Assessment of some global solar radiation parameterizations |
| |
| Institution: | 1. Department of Physics, Faculty of Science, Silpakorn University, Nakhon Pathom 73000, Thailand;2. School of Land and Food, University of Tasmania, Hobart 7001, Australia;1. Department of Hydrology and Water Resources, School of Environmental Studies of China University of Geosciences, Lumo Road, Wuhan 430074, China;2. Department of Civil Engineering, ENI-ABT, 410, Av. Van Vollenhoven PO BOX 242, Bamako, Mali;1. National ICT Australia, Victoria Research Lab, Department of Electrical and Electronic Engineering, The University of Melbourne, 3010 Victoria, Australia;2. Department of Electrical and Electronic Engineering, The University of Melbourne, 3010 Victoria, Australia;1. Joint International Research Lab of Green Buildings & Built Environments, Ministry of Education, Chongqing University, Chongqing 400045, China;2. National Center for International Research of Low-Carbon & Green Buildings, Ministry of Science and Technology, Chongqing University, Chongqing 400045, China;3. School of the Built Environment, University of Reading, Reading RG6 6DF, UK;4. Department of Civil Engineering, Surveying and Construction Management, School of Engineering and the Environment, Kingston University, Penrhyn Road, Kingson, KT1 2EE London, UK |
| |
| Abstract: | In spite of their practicability, most classical models are not versatile but rather restrictive in their application. Consequently, their applicability for a particular location depends largely on validation against actual measurements. Global solar radiation parameterizations have been evaluated in this study for a lowland and a mountain site. Tested models were broadly categorised as cloud-based (Kasten) and sunshine-based (Ångström–Prescott, Garg and Garg, Sivkov). Data sets utilised for the evaluation extended from 1991 to 1994. Adjustable parameters in the models were determined. Observed monthly mean values of solar radiation G and those estimated using Kasten model agreed within 2.5% for the lowland site and 13% for the mountain site. Root mean square errors of estimated hourly values of G using Kasten model appreciated significantly with fractional cloud cover N (particularly for N>4 octals). For the study sites as well as other locations examined here, Ångström–Prescott coefficients did not show a distinctive trend with respect to season, geographical co-ordinate or altitude. Monthly mean values of G estimated using Ångström–Prescott model agreed with observation within 2.5% for the lowland site and 3.4% for the mountain site. The effect of air mass, latitude and water vapour terms on the Ångström–Prescott relation has also been investigated. In general, Ångström–Prescott as well as Garg and Garg models yielded the least RMSE (<0.047) for the study sites and are thus recommended for estimating G for an arbitrary location. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
