A Hybrid Method for Generation of Typical Meteorological Years for Different Climates of China

Haixiang Zang, Miaomiao Wang, Jing Huang, Zhinong Wei and Guoqiang Sun
Additional contact information
Haixiang Zang: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Miaomiao Wang: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Jing Huang: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Zhinong Wei: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Guoqiang Sun: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Energies, 2016, vol. 9, issue 12, 1-19

Abstract: 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: solar energy; solar radiation; typical meteorological year (TMY); climatic zones (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.mdpi.com/1996-1073/9/12/1094/pdf (application/pdf)
https://www.mdpi.com/1996-1073/9/12/1094/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:9:y:2016:i:12:p:1094-:d:85774

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().