Center for Wind and Solar Energy Resources Assessment

Beijing, China

Center for Wind and Solar Energy Resources Assessment

Beijing, China
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Jiang Y.,Center for Wind and Solar Energy Resources Assessment | Jiang Y.,Laboratory for Climate Studies | Luo Y.,Laboratory for Climate Studies | Zhao Z.,Center for Wind and Solar Energy Resources Assessment | And 4 more authors.
Chinese Geographical Science | Year: 2010

This paper examines the capability of three regional climate models (RCMs), i.e., RegCM3 (the International Centre for Theoretical Physics Regional Climate Model), PRECIS (Providing Regional Climates for Impacts Studies) and CMM5 (the fifth-generation Pennsylvania State University-the National Center for Atmospheric Research of USA, NCAR Mesoscale Model) to simulate the near-surface-layer winds (10 m above surface) all over China in the late 20th century. Results suggest that like global climate models (GCMs), these RCMs have the certain capability of imitating the distribution of mean wind speed and fail to simulate the greatly weakening wind trends for the past 50 years in the country. However, RCMs especially RegCM3 have the better capability than that of GCMs to simulate the distribution and change feature of mean wind speed. In view of their merits, these RCMs were used to project the variability of near-surface-layer winds over China for the 21st century. The results show that 1) summer mean wind speed for 2020-2029 will be lower compared to those in 1990-1999 in most area of China; 2) annual and winter mean wind speed for 2081-2100 will be lower than those of 1971-1990 in the whole China; and 3) the changes of summer mean wind speed for 2081-2100 are uncertain. As a result, although climate models are absolutely necessary for projecting climate change to come, there are great uncertainties in projections, especially for wind speed, and these issues need to be further explored. © Science Press and Northeast Institute of Geography and Agroecology.


Jiang Y.,Nanjing University of Information Science and Technology | Jiang Y.,Center for Wind and Solar Energy Resources Assessment | Jiang Y.,National Climate Center | Luo Y.,Nanjing University of Information Science and Technology | And 6 more authors.
Theoretical and Applied Climatology | Year: 2010

Based on two observational data sets in China from 1956 to 2004, wind speed changes are analyzed. The annual mean wind speed (MWS), days of strong wind (SWDs), and maximum wind (MW) all show declining trends over broad areas of China. Only in the southeastern Tibetan Plateau and the regions from the Great Bend of the Yellow River southward to Yunnan and Guangxi Provinces wind speeds are not significantly reduced, but rather, in partial, these regions' winds speeds are slightly increased. The regions with declining trends match the areas with relatively strong observed winds and the regions without significant declining trends match the areas with light observed winds. In the meantime, the regions with relatively strong winds correspond to areas of reduced days of SWDs. Trends for both increasing intensities and for the number of days of light winds both impact the installation of wind energy facilities. These may be advantageous to the development of wind energy in different regions. Urbanization, the change of anemometers, or relocation of stations are factors that are mildly responsible for the decreasing trend of MWS. The main reason for the decreasing trend is that under the background of global warming, the contrasts of the sea level pressure, and near-surface temperature between the Asian continent and the Pacific Ocean have become significantly smaller, and the east Asian trough has shifted eastward and northward, and has weakened as well. Both East Asian winter and summer monsoons are decreasing, and all of these impacts have resulted in declines of MWS in China. © 2009 Springer-Verlag.


Li J.,Xiangtan Electrical Manufacturing Group | Li J.,State Key Laboratory of Offshore Wind Power Generation Technology and Detection | Song X.,Xiangtan Electrical Manufacturing Group | Song X.,State Key Laboratory of Offshore Wind Power Generation Technology and Detection | And 3 more authors.
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | Year: 2015

A coupled system of a mesoscale weather model WRF (Weather Research and Forecasting) and a computational cluid dynamics (CFD) code Fluent which using WRF outputs as boundary conditions to drive Fluent was established. The system was used to simulate wind field of Poyang Lake area with complex surface conditions. The simulation date were quantificationally comparied with two wind data sets. The results showed that the surface wind field information simulated by WRF coupled Fluent system is obviously better good than the one of WRF direct simulation. This indicated that the technology coupled mesoscale weather model with CFD model is practicable. The coupled system simulates wind flow from the synoptic scale to the turbine scale and gives out relatively realistic details of the wind field caused by small-scale topographic changes in the wind farm. ©, 2015, Science Press. All right reserved.


Shen Y.-B.,Center for Wind and Solar Energy Resources Assessment | Shen Y.-B.,Public Meteorological Service Center | Wang B.,CAS Institute of Atmospheric Physics
Chinese Journal of Geophysics (Acta Geophysica Sinica) | Year: 2011

Most of Earth's surface energy is from solar, and the change of surface solar radiation will profoundly affect the global climate. In this paper, the synchronous observational data of global radiation and temperature from 14 stations in South-East China was used to analyse the probable influence of surface solar radiation change on temperature change from 1961 to 2008. During 1961 - 1989, surface solar radiation in South-East China was significantly weakened, resulting in a slight decrease of average temperature. During 1993-2008, surface solar radiation in South-East China was increased, which was superposed on the other warming effects and accelerated the increase of temperature. In a word, the surface solar radiation change plays an essential role in the climate change in South-East China during these 50 years.


Liu Y.,CAS Institute of Atmospheric Physics | Liu Y.,University of Chinese Academy of Sciences | Hu F.,CAS Institute of Atmospheric Physics | Zhu R.,Center for Wind and Solar Energy Resources Assessment
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | Year: 2013

Based on the fact that wind field has some degree of spatial correlation, measure-correlate-predict (MCP) algorithms can using concurrent data from target sites and a nearby reference site to predict the wind resource at target sites for wind power development. This paper describes some of the MCP approaches found in the literature, but in those authors used data of different lengths and from different regions, so it is difficult to assessment which one performs best. The data of three wind measurement mast at Xilinguole and selecting seven metrics to evaluate the usefulness of each of the five methods(a linear regression model, a second degree parabola model, a vector regression model, a method based on the ratio of the standard deviations and Mortimer model). The results indicated that the method of the ratio of the standard deviations of the two data sets works the best at grassland of Inner Mongolia.


Li J.,CAS Institute of Atmospheric Physics | Li J.,University of Chinese Academy of Sciences | Hu F.,CAS Institute of Atmospheric Physics | Cheng X.,CAS Institute of Atmospheric Physics | Zhu R.,Center for Wind and Solar Energy Resources Assessment
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | Year: 2013

To support wind energy development over complex terrain, finer mesh grids are established by using high-resolution terrain elevation data, and computational fluid dynamics (CFD) technology is utilized to simulate wind flow over complex terrain. We present a case of wind flow over the small hills JiShan near Poyang Lake in Jiangxi province of China. It is indicated that turbulence scheme setting significant affects the simulation of wind field over complex terrain. Taking mesoscale weather model output as the boundary conditions input of CFD preliminarily demonstrates that the method CFD combined with mesoscale weather model could be a better way to simulate atmospheric boundary layer movement over complex terrain.

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