Published May 2019 | Version v1
Journal article

Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China

  • 1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Yangling 712100 (China)
  • 2. School of Science, Southwest University of Science and Technology, Mianyang 621010 (China)
  • 3. School of Hydraulic and Ecological Engineering, Nanchang Institute of Technology, Nanchang 330099 (China)

Description

Highlights: • Seventy-two existing and developed empirical models for estimating diffuse solar radiation estimation in China. • Sunshine-based models performing similarly to clearness index models on a daily basis but outperforming on a monthly basis. • Diffuse fraction-based models performing similarly to diffuse coefficient ones in NWC and QTP but better in NEC, NC and CSC. • Combination of sunshine duration and global radiation along with temperature and relative humidity for improving accuracy. • Different best-performing model for each of the five climatic regions on both daily and monthly basis. -- Abstract: The diffuse solar radiation is required for estimating global solar radiation on inclined surface or for estimating beam solar radiation for concentrating photovoltaic applications. In the present study, the accuracy and suitability of 72 existing and developed empirical models in nine categories are evaluated for estimating diffuse horizontal solar radiation in different climatic regions of China, i.e. the arid desert of northwest China (NWC), the Qinghai-Tibetan Plateau (QTP), the (semi-)humid cold-temperate northeast China (NEC), the semi-humid warm-temperate north China (NC) and the humid (sub-)tropical central and south China (CSC). For this purpose, diffuse solar radiation and other meteorological data during 1966–2000 and 2001–2015 from 10 weather stations were used for model calibration and validation, respectively. The results show that the sunshine duration-based models performed similarly to the clearness index-correlated ones on a daily basis, while they were more accurate on a monthly mean daily basis. The diffuse fraction-correlated models performed similarly to models based on the diffuse coefficient in NWC and QTP but better in NEC, NC and CSC. Models with both sunshine duration and global solar radiation as input parameters outperformed single variable-based models. The incorporation of average temperature and relative humidity further improved the prediction accuracy of diffuse solar radiation. The best performing model differed among the five studied climatic regions and also at the two time scales. The proposed models Ⅷ-3, Ⅳ-3, Ⅳ-3, Ⅳ-3 and the existing model Ⅲ-2 were the best-performing models in NWC, QTP, NEC, NC and CSC on a daily basis, respectively. The best performance on a monthly mean daily basis was obtained by the proposed models Ⅳ-3, Ⅷ-3, Ⅶ-7, Ⅷ-5 and Ⅳ-5, respectively. The different categories of models reviewed and developed in the study can be of great interest to researchers and managers in the design and applications of solar thermal/photovoltaic systems.

Additional details

Identifiers

DOI
10.1016/j.rser.2019.01.040;
PII
S1364032119300620;

Publishing Information

Journal Title
Renewable and Sustainable Energy Reviews
Journal Volume
105
Journal Page Range
p. 168-186
ISSN
1364-0321

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55020392
Subject category
S14: SOLAR ENERGY;
Descriptors DEI
CALIBRATION; DESIGN; DIFFUSE SOLAR RADIATION; METEOROLOGY; PERFORMANCE; PHOTOVOLTAIC EFFECT; SOLAR CELLS; SURFACES; WEATHER
Descriptors DEC
DIRECT ENERGY CONVERTERS; EQUIPMENT; PHOTOELECTRIC CELLS; PHOTOELECTRIC EFFECT; PHOTOVOLTAIC CELLS; RADIATION FLUX; RADIATIONS; SOLAR EQUIPMENT; SOLAR FLUX; SOLAR RADIATION; STELLAR RADIATION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.