因為在台灣西海岸的風場好，本篇研究藉以分析這區域的風特性，進而在離岸位置擺設風機，算出所能產生的發電量為何。用來分析風特性的風數據，是藉由台灣西岸的測風塔，或是把風速風向計放置浮標上，在海上所測得的。WindPRO軟體被用來分析這些數據，以決定這些區域的風特性。並用來計算和找出一離岸多支風機間，成本與年發電量的關係。WAsP Engineering 3軟體被用來計算五十年回歸年下的極端風速，本篇研究分別以陣風與十分鐘平均風速數據做計算。
本篇研究結果包含尾流效應、年發電量、效率(park efficiency)和成本間的關係。其顯示多支風機間的距離與一起旋轉角度，會影響年發電量、效率(park efficiency)和成本。未來的研究可進一步改善多支風機所因旋轉的角度與擺放的距離，藉此將年發電量與效率(park efficiency)最大化，並將成本開銷最小化。
風機運作上須保持其安全性，因此，事先知道軸高位置下的極端風速是很重要的。但是，測量出的風數據無法用來預測未來可能發生的極端風速。因此，在WAsP Engineering 3軟體中，Gumbel分布被用來計算五十年回歸年下的極端風速。此參數可用來決定風機應設計多堅固，以避免強風的破壞。

Due to the good wind field and wind conditions along the west coast of Taiwan, this research analyzes these conditions and the wind energy yield for an offshore wind farm on the west side of the island. The wind data used in the analysis is based on measurements from meteorological stations or meteorological buoy stations in the west of Taiwan. The WindPRO software is used to analyze the wind field and wind conditions, and also to determine the relation between the cost and annual energy yield for an offshore wind farm. The WAsP Engineering software, version 3, is used to calculate the 50-return-years extreme wind speeds using the gust wind speed and 10-minute-average wind speed data.
The results obtained in this work include the relationships among the wake effect, annual energy production, park efficiency and cost. The reveal that the rotation angle of the whole wind farm with a certain number of turbines and a certain distance between the turbines can affect the annual energy production, park efficiency and cost. Further research could examine how the rotation angle and distance can be modified to maximize annual energy production and park efficiency, and minimize the cost.
Wind turbines need to be operated safely, and thus it is essential to know the extreme wind speed at the hub height of the turbines in advance. However, the wind data that is measured cannot be used to predict future extreme wind speeds. WAsP Engineering, version 3, is used to calculate the 50-return-years extreme wind speeds using the Gumbel statistical distribution. The parameters presented in this work can be used to determine how strong wind turbines should be in order to withstand damage due to extreme winds.

1.Suarez, J. C., Gardiner, B. A., Quine, C. P., “A Comparison of three methods for predicting wind speed in complex forested terrain,” Meteorological Applications, Vol. 6, p. 329-342, 1999.
2.Troen, I., “A High Resolution Spectral Model for Flow in Complex Terrain,”http://www.google.com.tw/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CCIQFjAA&url=http%3A%2F%2Fwww.wasp.dk%2F~%2Fmedia%2FSubsites%2FWASP%2FWAsP%2520support%2FLiterature%2FA%2520high%2520resolution%2520spectral%2520model%2520for%2520flow%2520in%2520complex%2520terrain.ashx&ei=o-qrU7rNNczQkwXg54HgBA&usg=AFQjCNEp6_7Ixd02uTo-PnCdBKqQSLH44g.
3.Barthelmie, R. J., Folkerts, L., Larsen, G. C., Rados, K., Pryor, S. C., Frandsen, S. T., “Comparison of Wake Model Simulations with Offshore Wind Turbine Wake Profiles Measured by Sodar,” Journal of Atmospheric and Oceanic Thchnology, Vol. 23, p. 888-901, 2006.
4.Bowen, A. J. , Mortensen, N. G., “Exploring the Limits of WASP the Wind Atlas Analysis and Application Program,” European Union Wind Energy Conference, Gothenburg, Sweden, 1996.
5.Mortensen, N. G., Petersen, E. L., “Influence of Topographical Input Data On The Accuracy of Wind Flow Modelling In Complex Terrain,” European Wind Energy Conference and Exhibition, Dublin, Ireland, 1997.
6.Frandsen, S., Barthelmie, R., Pryor, S., Rathmann, O., Larsen, S., Højstrup, J., “Analytical Modelling of Wind Speed Deficit in Large Offshore Wind Farms,” Wind Energy, Vol. 9, p. 39-53, 2006.
7.Mann, J., Kristensen, L., Jensen, N. D., “Uncertainties of extreme winds, spectra, and coherences,” Bridge Aerodynamics, Larsen and Esdahl (eds), Balkema, Rotterdam, 1998.
8.An, Y., Pandey, M. D., “A comparison of methods of extreme wind speed estimation,” Journal of Wind Engineering and Industrial Aerodynamics, Vol. 93, p. 535-545, 2005.
9.Lee, B. H., Ahn, D. J., Kim, H. G., Ha, Y. C., “An estimation of the extreme wind speed using the Korea wind map,” Renewable Energy, Vol. 42, p. 4-10, 2012.
10.Technical University of Denmark, “WAsP Engineering 3 user manuals,”http://www.wasp.dk/Support/PDF/What%C2%B4s-new-in-WEng-3.
11.Irwin, J. S., “A Theoratical Variation of the Wind Profile Power-Law Exponent As a Function Of Surface Roughness and Stability,” Atmospheric Environment, Vol. 13, p. 191-194, 1979.
12.Ko, K., Kang, M., Huh, J., “Long-term Wind Statistics on Jeju Island, Korea,”http://proceedings.ewea.org/ewec2010/allfiles2/387_EWEC2010presentation.pdf.
13.Elkinton, C. N., Manwell, J. F., McGowan, J. G., “Offshore Wind Farm Layout Optimization (OWFLO) Project: An Introduction,” http://www.umass.edu/windenergy/publications/published/2006/ASME%202006%20Offshore%20Wind%20Farm%20Layout%20Optimization.pdf.
14.Thøgersen, M. L., “WindPRO / ENERGY Modelling of the Variation of Air Density with Altitude through Pressure, Humidity and Temperature,” EMD International A/S, 2005.
15.Svenningsen, L., “WindPRO / Energy Power Curve Air Density Correction And Other Power Curve Options In WindPRO,” EMD International A/S, 2010.
16.Tennekes, H., “The Logarithmic Wind Profile,” Journal of the Atmospheric Sciences, Vol. 30, p. 234-238, 1973.
17.Ozerdem, B., Turkeli, H. M., “Wind energy potential estimation and micrositting on Izmir Institute of Technology Campus, Turkey,” Renewable Energy, Vol. 30, p. 1623-1633, 2005.
18.Dimcev, V., Najdenkoski, K., Stoilkov, V., Kokolanski, Z., “Wind Energy Potential Assessment in Republic of Macedonia,” Journal of Energy and Power Engineering, Vol. 5, p. 324-330, 2011.
19.Milborrow, D. J., “The Performance of Arrays of Wind Turbines,” Journal of Industrial Aerodynamics, Vol. 5, p. 403-430, 1980.
20.Thøgersen, M. L., Sørensen, T., “Measure-Correlate-Predict Methods: Case Studies and Software Implementation,” EMD International A/S (EMD), http://emd.dk/files/windpro/Thoegersen_MCP_EWEC_2007.pdf.
21.Thøgersen, M. L., M. Sc., “WindPRO / PARK Introduction to Wind Turbine Wake Modelling and Wake Generated Turbulence,” EMD International A/S, 2011.
22.Svenningsen, L., “WindPRO / Energy Changing WAsP Parameters In WindPRO,” EMD International A/S, 2010.
23.Winoto, P., “Wind resource and potential energy yield from offshore wind farms in the coastal region of western Taiwan,” Unpublished Master's Dissertation, Department of Civil Engineering National Cheng Kung University, 2012.
24.Smith, I. M., Thambimuthu, K. V., “Greenhouse Gas Emissions, Abatement and Control: The Role of Coal,” https://web.anl.gov/PCS/acsfuel/preprint%20archive/Files/36_1_ATLANTA_04-91_0354.pdf.
25.Azad, R. S., “The Atmospheric Boundary Layer for Engineers,” Kluwer Academic Publishers, Netherlands, 1993.
26.Technical University of Denmark, “WAsP Engineering 3 user manuals,” http://www.wasp.dk/Support/PDF/What%C2%B4s-new-in-WEng-3.
27.WindPRO online help,“WindPRO 2.9 User Manual,” http://help.emd.dk/knowledgebase/.
28.Tenekes, H., Lumley, J. L., “A First Course in Turbulence,” The MIT Press, http://mitpress.mit.edu/books/first-course-turbulence.
29.Dekker, J. W. M., Pierik, J. T. G., “European Wind Turbine Standards II,” ECN Solar and Wind Energy, Netherlands, 1999.
30.Djerf, E., Mattson, H., “Evaluation of the Software program WindFarm and Comparisons with Measured Data from Alsvik,” Flygtekniska Försöksanstalten (Aeronautical Research Institute of Sweden), FFA TN 2000-30.
31.Feng, S., Hu, Q., Qian, W., “Quality Control Of Daily Meteorological Data In China, 1951-2000: A New Dataset,” International Journal Of Climatology, Vol.24, p. 853-870, 2004.
32.Simiu, E., Heckert, N. A., “Extreme wind distribution tails: a peaks over threshold approach,” Journal of Structural Engineering, Vol.122, p. 539-547, 1996.
33.De Haan, L., “Extreme value statistics, in:J. Galambos, J. Lechner, E. Simiu (Eds.), Extreme Value Theory and Applications,” Vol. 1, p. 93-122, 1994.
34.Astrup, P., Mikkelsen, T., Jensen, N. O., “A Fast Model For Mean and Turbelent Wind Characteristics Over Terrain With Mixed Surface Roughness,” Nuclear Technology Publishing, Vol.73, p. 257-260, 1997.
35.Burton, T., Jenkins, N., Sharpe, D., Bossanyi, E., “Wind Energy Handbook,” John Wiley and Sons, 2011.
36.Wikipedia, “Log wind profile,” en.wikipedia.org/wiki/Log_wind_profile.
37.Jørgensen, H. E., Nielsen, M., Barthelmie, R. J., Mortensen, N. G., “Modelling offshore wind resources and win conditions,” http://www.researchgate.net/publication/255016596_Modelling_offshore_wind_resources_and_wind_conditions.
38.Mathew, S., “Wind Energy Fundamentals, Resource Analysis and Economics,” Springer, Netherlands, 2006.
39.Mathew, S., Pandey, K. P., A. Kumar V., “Analysis of wind regimes for energy estimation,” Renewable Energy, Vol. 25, p. 381-399, 2002.
40.Machias, A. V., Skikos, G. D., “Fuzzy risk index for wind sites,” IEEE Transactions on Energy Conversion, Vol. 7(4), pp. 638-643, 1992.
41.Frank, H. P., “Extreme Winds over Denmark from the NCEP/NCAR Reanalysis,” Wind Energy Department, Riso National Laboratory, Roskilde, Denmark, Riso-R-1238(EN), 2001.
42.Windustry, “How much do wind turbines cost,” http://www.windustry.org/resources/how-much-do-wind-turbines-cost.
43.Astrup, P., Jensen, N. O., Mikkelsen, T., “Surface Roughness Model for LINCOM,” Risø National Laboratory,Roskilde, Denmark, Risø-R-900(EN),1996.
44.International Standard IEC 61400-1, “Wind turbines -Part 1: Design requirements,” Third edition, 2005-08.
45.Rivas, R.A., Mèchali, M., Hansen, K.S., Clausen, J., “Optimization of Offshore Wind Farm Layouts,” Unpublished Master's Dissertation, Technical University of Denmark, Master’s thesis, , 2007.
46.經濟部公告，“中華民國一百零二年度再生能源電能躉購費率及其計算公式，” 行政院公報財政經濟篇， 第018卷， 第231期，20121130.
47.怡興工程顧問有限公司，“台灣本島西部近岸設置風力發電機組場址選擇及工程可行性研究期末報告書定稿本，” 2006.
48.成功大學近海水文中心“近海水文觀測網，” http://140.116.133.165/wra/2_00.htm.