Abstract
Given the increasing trend of using wind energy in cities, the utilization of distributed wind energy in cities has been widely concerned by researchers. The related research on the micro-site selection of wind turbines, a sub-project of the Task27 project of the International energy agency, was continued in this paper. The wind speed data of an observation station near Hohhot, Inner Mongolia, with a range of 10–19 m were collected. The evaluation included wind direction, Weibull parameter characteristics, and turbulence intensity. The potential energy output in 10 different heights was estimated using commercial horizontal and vertical axis wind turbines of the same power. Results showed that the following: the three-parameter Weibull distribution model can well describe the statistical properties of the wind speed in this site. The wind speed distribution model constructed from extrapolation parameters reflects the wind speed statistical properties out of detection positions to a certain extent. The wind energy density of the vertical axis wind turbine is slightly lower than that of the horizontal axis wind turbine. Furthermore, more power can be generated from March to May.
Highlights
Given the increasing trend of using wind energy in cities, the utilization of distributed wind energy in cities has been widely concerned by researchers
The results showed that the three-parameter Weibull distribution model had good applicability for small sample test
Given the lack of comparison with other probability models and detailed analysis in space and time, the role of the three parameters in wind energy evaluation may be ignored to a certain extent
Summary
Given the increasing trend of using wind energy in cities, the utilization of distributed wind energy in cities has been widely concerned by researchers. Results showed that the following: the three-parameter Weibull distribution model can well describe the statistical properties of the wind speed in this site. Many researchers choose the indicators in the process of the microscopic location as the focus to research the change rules of urban wind environment, the distribution models, through numerical simulation, field test and statistical methods. Stewart and Essenwanger[35] compared the applicability of the two- and three-parameter Weibull models in describing wind speed frequency based on data from more than 40 stations near the ground. In the Task[27] project conducted by the international energy agency, researchers from various countries paid close attention to the micro-site selection of wind turbines in complex urban built environments. The effect of flow field characteristics was s imulated[46]
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