Mesoscale simulation of year-to-year variation of wind power potential over southern China

Energies

Volumn 2, Issue 2, 2009, Pages 340-361

  Yim, Steve H L ^a   Fung, Jimmy C H ^a   Lau, Alexis K H ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Mesoscale modeling; Wind power map

Indexed keywords

WIND POWER; WIND TURBINES;

GUANGDONG PROVINCE; HIGH RESOLUTION; HISTORICAL OBSERVATION; MESO-SCALE MODELING; MESOSCALE SIMULATION; POWER POTENTIAL; SOUTHERN CHINA; WIND RESOURCES;

WIND EFFECTS;

EID: 67649660423     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en20200340     Document Type: Article

References (36)

1. WWEA. WWEA Sustainability and Due Diligence Guidelines. World Wind Energy Association, 2005. Available online: http://www.wwindea.org/home/images/stories/pdfs/wwea_05_11-10.pdf.
2. WWEA. World Wind Energy Report 2008. World Wind Energy Association, 2008. Available online: http://www.wwindea.org/home/index.php.
3. GWEC. Global Wind 2008 Report. Global Wind Energy Council, 2008. Available online: http://www.gwec.net/.
4. Fung, W.S. A feasibility study and engineering design of wind power in Hong Kong. Master Thesis, The Hong Kong Polytechnic University: Hong Kong, China, 1999.
5. Li, G. Feasibility of large-scale offshore wind power for Hong Kong - a preliminary study. J. Renew. Energy 2000, 21, 387-402.
6. Lu, L.; Yang H.X. Investigation on wind power potential on Hong Kong islands - an analysis of wind power and wind turbine characteristics. J. Renew. Energy 2002, 27, 1-12.
7. Zhou, W.; Yang, H.X.; Fang, Z.H. Wind power potential and characteristic analysis of the Pearl River Delta region, China. J. Renew. Energy 2006, 31, 739-753.
8. Dudhia, J. A nonhydrostatic version of the Penn State-NCAR Mesoscale Model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev. 1993, 121, 1493-1513.
9. Grell, G.A.; Dudhia, J.; Stauffer, D.R. A description of the fifth generation Penn State-NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398 +STR 1994, 138-139.
10. Wang, X.M.; Lin, W.S.; YanG, L.M.; Deng, R.R.; Lin, H. A numerical study of influences of urban land-use change on ozone distribution over the Pearl River Delta region, China. Tellus B 2007, 59, 633.
11. Lin, C.Y.; Wang, Z.F.; Chou, C.C.K.; Chang, C.C.; Liu, S.C. A numerical study of an autumn high ozone episode over southwestern Taiwan. J. Atmos. Environ. 2007, 41, 3684-3701.
12. Wei, X.L.; Li, Y.S.; Lam, K.S.; Wang, A.Y.; Wang, T.J. Impact of biogenic VOC emissions on a tropical cyclone-related ozone episode in the Pearl River Delta region, China. J. Atmos. Environ. 2007, 41, 7851-7864.
13. 2 columns over East Central China: Comparisons between SCIAMACHY measurements and nested CMAQ simulations. J. Atmos. Environ. 2008, 42, 7165-7173.
14. Huang, J.P.; Fung, J.C.H.; Lau, A.K.H.; Qin, Y. Numerical simulation and process analysis of typhoon-related ozone episodes in Hong Kong. J. Geophys. Res. 2005, 110, D05301.
15. Huang J.P.; Fung, J.C.H.; Lau, A.K.H. Integrated processes analysis and systematic meteorological classification of ozone episodes in Hong Kong. J. Geophys. Res. 2006, 111, D20309.
16. Hong, S.Y.; Pan, H.L. Nonlocal boundary layer vertical diffusion in a medium-range forecast model, Mon. Weather Rev. 1996, 124, 2322-2339.
17. Ding, A.; Wang, T.; Zhao, M.; Wang, T.; Li, Z. Simulation of sea-land breezes and a discussion of their implications on the transport of air pollution during a multi-day ozone episode in the Pearl River Delta of China. J. Atmos. Environ. 2004, 38, 6737-6750.
18. Seaman, N.L.; Stauffer, D.R.; Lario-Gibbs, A.M. A Multiscale Four- Dimensional Data Assimilation System Applied in the San Joaquin Valley during SARMAP. Part I: Modeling Design and Basic Performance Characteristics. J. Appl. Meteorol. 1995, 34, 1739-1761.
19. Fung, J.C.H; Lau, A.K.H.; Lam, J.S.L.; Yuan, Z. Observational and modeling analysis of a severe air pollution episode in western Hong Kong. J. Geophys. Res. 2005, 110, D09105.
20. Douglas, S.G.; Kessler, R.C. User's guide to the diagnostic wind model (Version 1.0). Systems Applications Inc.: San Rafel, CA, USA, 1988.
21. Chandrasekar, A.; Philbrick, R.; Clark, B.; Doddridge, B.; Georgopoulos, P. Evaluating the performance of a computationally efficient MM5/CALMET system for developing wind field inputs to air quality models. J. Atmos. Environ. 2003, 37, 3267-3276.
22. Chuang, M.T.; Fu, J.S.; Jang, C.J.; Chan, C.C.; Ni, P.C; Lee, C.T. Simulation of long-range transport aerosols from the Asian Continent to Taiwan by a Southward Asian high-pressure system, Sci. Total Environ. 2008, 406, 168-179.
23. Streets, D.G.; Fu, J.S,; Jang, C.J.; Hao, J.M.; He, K.B.; Tang, X.Y.; Zhang, Y.H.; Wang, Z.F.; Li, Z.P.; Zhang, Q.; Wang, L.T.; Wang, B.Y.; Yu, C. Air quality during the 2008 Beijing Olympic Games. J. Atmos. Environ. 2007, 41, 480-492.
24. Jackson, B.; Chau, D.; Gurer, K.; Kaduwela, A. Comparison of ozone simulations using MM5 and CALMET/MM5 hybrid meteorological fields for the July/August 2000 CCOS episode. J. Atmos. Environ. 2006, 40, 2812-2822.
25. Yim, S.H.L.; Fung, J.C.H.; Lau, A.K.H.; Kot, S.C. Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system. J. Geophys. Res. 2007, 112, D05106.
26. Truhetz, H.; Gobiet, A.; Kirchengast, G. Evaluation of a dynamic-diagnostic modeling approach to generate highly resolved wind climatologies in the Alpine region. Meteorol. Z. 2007, 16, 191-201.
27. Barna, M.B.; Lamb, B.K.; O'Neill, S.M.; Westberg, H.; Figueroa-Kaminsky, C.; Otterson, S.; Bowman, C.; DeMay, J. Modeling ozone formation and transport in the Cascadia region of the Pacific Northwest. J. Appl. Meteorol. 2000, 39, 349-366.
28. Lu, R.; Turco, R.P.; Jacobson, M.A. An integrated air pollution modeling system for urban and regional scales: 1. Simulations for SCAQS 1987. J. Geophys. Res. 1997, 102, 6063-6079.
29. Barna, M.B.; Lamb, B.K. Improving ozone modeling in regions of complex terrain using observational nudging in a prognostic meteorological model, J. Atmos. Environ. 2000, 34, 4889-4906.
30. Weisser, D. A wind energy analysis of Grenada: An estimation using the 'Weibull' density function. J. Renew. Energy 2003, 28, 1803-1812.
31. Mukund, R.P. Wind and Solar Power Systems, 2nd ed.; CRC Press: Boca Raton, FL, USA, 2006.
32. Dupont, S.; Otte, T.; Ching, J. Simulation of meteorological fields within and above urban and rural canopies with a mesoscale model (MM5). Boundary Layer Meteorol. 2004, 113, 111-158.
33. Abderrazzaq, M.H. Energy production assessment of small wind farms. J. Renew. Energy 2004, 29, 2261-2272.
34. Walker, J.F.; Jenkins, N. Wind energy technology. John Wiley & Sons Inc: New York, NY, USA, 1997.
35. Ferguson, A.R.B. Wind Power: Benefits and Limitations. In Biofuels, Solar and Wind as Renewable Energy Systems; Springer: Dordrecht, the Netherlands, 2008; pp. 133-151.
36. Tyner, G., Sr. Net Energy from Wind Power. Minnesotans for Sustainability, 2002.