2009
DOI: 10.3390/en20200340
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Mesoscale Simulation of Year-to-Year Variation of Wind Power Potential over Southern China

Abstract: Abstract:The objectives of this study are to combine historical observations and state-ofthe-art numerical models (MM5/CALMET system) to map the spatial distribution of wind resources in high resolution, and to help foster a deeper understanding of the wind power potential over southern China (Guangdong). Hourly wind fields were simulated for three entire years (2004)(2005)(2006). It found that almost 70% of the time, the wind speed along the coast of Guangdong is over 5 m/s, which is deemed a baseline magnitu… Show more

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Cited by 20 publications
(4 citation statements)
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“…To set the input wind velocity profile particularly for the Mong Kok area by means of the log law, the site-specific annual wind data (U met ¼ 11 m/s) at a 450 m height (d met ) were obtained from the fifth-generation NCAR/PSU meso-scale model (MM5) [43] and, given the high urban density of Hong Kong, the surface roughness factor (a) was set at 0.35. NO 2 was selected as the emission gas as its concentration is still increasing in the metropolitan areas in Hong Kong.…”
Section: Modeling Settings In the Parametric Studymentioning
confidence: 99%
“…To set the input wind velocity profile particularly for the Mong Kok area by means of the log law, the site-specific annual wind data (U met ¼ 11 m/s) at a 450 m height (d met ) were obtained from the fifth-generation NCAR/PSU meso-scale model (MM5) [43] and, given the high urban density of Hong Kong, the surface roughness factor (a) was set at 0.35. NO 2 was selected as the emission gas as its concentration is still increasing in the metropolitan areas in Hong Kong.…”
Section: Modeling Settings In the Parametric Studymentioning
confidence: 99%
“…To set the inlet boundary condition, especially for the Mong Kok area, by Equation (4), the site-specific annual wind rose data at a 450 m height are obtained from the fifth-generation NCAR/PSU meso-scale model (MM5) [40]. As shown in Fig.…”
Section: Computational Modelingmentioning
confidence: 99%
“…Sailor et al (2008) also note that GCMs do not well represent observed surface wind speeds. Mesoscale models are commonly used to project the detailed climate of a region, with high-resolution grid spacing that meets local climate information needs (Oh et al, 2004;Yim et al, 2009;Hong et al, 2010;Chotamonsak et al, 2011).…”
Section: Introductionmentioning
confidence: 99%