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LAPSE:2019.0403
Published Article
LAPSE:2019.0403
A Hybrid Method for Generation of Typical Meteorological Years for Different Climates of China
Haixiang Zang, Miaomiao Wang, Jing Huang, Zhinong Wei, Guoqiang Sun
February 27, 2019
Since a representative dataset of the climatological features of a location is important for calculations relating to many fields, such as solar energy system, agriculture, meteorology and architecture, there is a need to investigate the methodology for generating a typical meteorological year (TMY). In this paper, a hybrid method with mixed treatment of selected results from the Danish method, the Festa-Ratto method, and the modified typical meteorological year method is proposed to determine typical meteorological years for 35 locations in six different climatic zones of China (Tropical Zone, Subtropical Zone, Warm Temperate Zone, Mid Temperate Zone, Cold Temperate Zone and Tibetan Plateau Zone). Measured weather data (air dry-bulb temperature, air relative humidity, wind speed, pressure, sunshine duration and global solar radiation), which cover the period of 1994⁻2015, are obtained and applied in the process of forming TMY. The TMY data and typical solar radiation data are investigated and analyzed in this study. It is found that the results of the hybrid method have better performance in terms of the long-term average measured data during the year than the other investigated methods. Moreover, the Gaussian process regression (GPR) model is recommended to forecast the monthly mean solar radiation using the last 22 years (1994⁻2015) of measured data.
Keywords
climatic zones, solar energy, solar radiation, typical meteorological year (TMY)
Suggested Citation
Zang H, Wang M, Huang J, Wei Z, Sun G. A Hybrid Method for Generation of Typical Meteorological Years for Different Climates of China. (2019). LAPSE:2019.0403
Author Affiliations
Zang H: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China [ORCID]
Wang M: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Huang J: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Wei Z: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Sun G: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China [ORCID]
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Journal Name
Energies
Volume
9
Issue
12
Article Number
E1094
Year
2016
Publication Date
2016-12-21
Published Version
ISSN
1996-1073
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PII: en9121094, Publication Type: Journal Article
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LAPSE:2019.0403
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doi:10.3390/en9121094
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Feb 27, 2019
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Feb 27, 2019
 
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Calvin Tsay
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