臺灣博碩士論文加值系統

在能源供需平衡間受到衝擊的今日，石油價格不斷上漲及有限的存量，使得科學家們急欲尋求並開發可替代的再生能源。台灣地區儘管適合發展風力發電並且頗有成果，但受到季候的限制導致在弱風期(4-9月)風機發電效益大打折扣。另一方面，台灣地區位處亞熱帶，陽光充足、日照時數長，太陽能產業成為新興起的重要產業。本研究進行台灣地區日射量、日射延時分析，評估地方發展太陽能發電潛勢，並研擬太陽能光電系統的發電推估計算模式(並得以實測數據驗證)與Chang等(2003)的風能發電推估模式結合進行發電量模擬。
本研究結合風能與太陽能這兩項天然的再生資源成為新複合式能源系統，擷取風能與太陽能優勢互補。並以兩種不同規格風機搭配相對應率定發電量之太陽能發電作為複合發電，並選取臺灣地區(含離島)六個測站，即新竹、梧棲、成功、恆春、蘭嶼與澎湖等作為模擬案例研究與成果探討。本研究模擬結果發現在澎湖地區結合風能與太陽能兩種再生能源可得到高互補性，並兼得到高發電量，最適合發展此兩者複合再生能源系統，整年能提供穩定供電量使得發電不受到季候限制。

Nowadays, the impact of the balance between the energy supply and demand, continually uprising price of petroleum and its limited saving make scientists to be eager to search for a new renewable energy source that can be substituted. In Taiwan, even though the geographical background is quite suitable for developing wind power, the efficiency of wind turbines during weak wind periods (from Aprill to September) is much detracted because of the seasonal monson and climate influence. On the other hand, Taiwan is located in the subtropical region with sufficient soalr radiation and enough sunshine duriation in weak wind periods to develop solar energy. It has been also becoming a newly rising industry. As a result, this reaserch is to analyze the trend of soalr radiation and sunshine duriation in Taiwan and to approach a formula for stimulating the electricity of the hybrid wind-turbine-PV-system in Taiwan.
This study combines wind energy and solar energy as a hybrid energy system to take both advantages of two systems. Two different kinds of wind turbines with various PV systems at six strong-wind locations (Hsinchu, Wuchi, Chenggong, Hengchun, Lanyu and Penghu) in Taiwan are studied and discussed. The results shows that the hybrid system in Penghu has the best operation condition in obtaining the benefits of combining the two renewable energy. This location has the most stable amount of electricity during the whole year.

口試委員審定書............................................i
誌謝.....................................................ii
中文摘要................................................iii
英文摘要.................................................iv
目錄......................................................v表目錄...................................................vi
圖目錄...................................................xi
第一章 緒論...............................................1
1.2 研究動機與目的....................................... 2
1.3 研究範圍..............................................4
第二章 相關文獻回顧.......................................5
2.1 風速機率密度函數......................................5
2.2 風能發電理論......................................... 6
2.3 太陽能發電理論........................................7
2.4 複合式並聯再生能源利用............................... 8
第三章 風能發電理論...................................................... 10
3.1 韋伯風速機率分佈.................................... 10
3.2 發電理論...... ......................................11
3.3 風能驗證............................................ 13
第四章 太陽能發電理論....................................16
4.1 太陽能光電板簡述.....................................16
4.2 日照時數推估輻射量...................................16
4.2.2 模式模擬台灣測站.................................. 19
4.3 太陽能發電理論模式.................................. 20
4.3.1 功率條件效率因子.................................. 22
4.3.2 模式驗證...........................................23
第五章 案例研究......................................... 35
5.1 台灣地區太陽能潛勢分析.............................. 35
5.2 風力發電機與太陽能板案例介紹........................ 38
5.3 風場與風機特性.......................................38
5.4 模擬案例.............................................39
第六章 結果與討論........................................63
6.1 案例模擬結果討論.................................... 63
6.2 各模擬案例細部討論...................................65
第七章 結論.......................................................72
參考文獻................................................ 74

1. 經濟部工業局網頁 http://www.moeaidb.gov.tw/portal/index.jsp/。
2. 臺灣電力公司網頁 http://www.taipower.com.tw/。
3. 林憲德，1994，「現代人類的居住環境」，胡式圖書出版社。
4. 莊嘉琛，1997，「太陽能工程-太陽電池篇」，全華圖書。
5. 吳明璋，1998，「日射量機率模型之建立及太陽能電力系統之最
佳化設計」，國立雲林科技大學電機工程研究所碩士論文。
6. 林和毅，2000，「利用MM5 模式評估台灣地區風能蘊藏量之研
究」，國立中央大學大氣物理研究所碩士論文。
7. 莊月璇，2001，「台灣地區風速機率分佈之研究」，國立中央大學土木工程研究所碩士論文。
8. 張子文，2002，「太陽電池應用於建築上之研究」，國立成功大學建築研究所碩士論文。
9. 陳守誠，2002，「太陽能與風力發電複合系統之研製」，國立台灣科技大學電機工程研究所碩士論文。
10. 郭博堯，2002，「全球化石能源危機時代與我國面臨挑戰。」
http://www.npf.org,tw/。
11. 林聖賢，2002，「市電併聯型太陽能與風能發電系統研製」，國立中正大學電機工程研究所碩士論文。
12. 郭博堯，2003，「我國天然環境限制風力」。http://www.npf.org,tw/
13. 陳木坤，鄭超元，2005，「風力與太陽能併聯之研究」，太陽能及新能源學刊 第十卷，第一期。
14. 周一德，2005，「火紅的太陽能電池業」，產業雜誌430 期。
15. 朱佳仁，2006，「風工程概論」，科技圖書。
16. 蔡志威，2006，「風力發電效能評估參數之探討」，國立台灣大學生物環境系統工程所碩士論文。
17. 柯爾文，郭峻男，鐘淞廣，洪宛華，2006，「染料敏化太陽能電池」。http://140.109.91.205/
18. 張倉榮，杜逸龍，劉珮珊，2007，「農田水利會灌區結合風力發電與太陽能發電之可行性評估」，財團法人中正農業科技社會公
益基金會九十六年農業科技研究計畫。
19. 楊慧瑾，2007，「新興可再生能源的成本分析與應用前景」，中國礦業調查報告。http://www.ah.xinhuanet.com/
20. Batsukh, G., Ochirbaani, D., Lkhagvajav, C., Enebish, N., Ganbat, B.,Baatarchuluun, T., 2003. Evaluation of solar energy potentials in Gobi desert area of Mongolia. 3rd World Conference on Photovoltaic Energy Conversion. May 11-18.
21. BP Statistical Review of World Energy, 2004.
22. Chang, T.J., Tu, Y.L., 2007. Evaluation of capacity factor of WECS using chronological and probabilistic wind speed data: a case study of Taiwan. Renewable Energy, 32, 1999-2010.
23. Chang, T.J., Wu, Y.T., Hsu, H.Y., Chu, C.R., Liao, CM., 2003. Assessment of wind characteristics and wind turbine characteristics in Taiwan. Renewable Energy, 28, 851-871.
24. El-Rafey, E., El-Sherbiny, M., 1988.Load/weather/isolation database
for estimating photovoltaic array and system performance in Egypt.Solar Energy, 41(6), 531–542.
25. Elhadidy, M.A., Shaahid, S.M., 2000. Parametric study of hybrid (wind+solar+disel) power generating systems. Renewable Energy, 21,129-139.
26. El-Shatter, T.F., Eskander, M.N., El-Hagry M.T., 2005. Energy flow and management of a hybrid wind/PV/fuel cell generation system. Energy Conversion and Management, 47, 1264- 1280.
27. Hrayshat, E.S., Al-Sound, M.S., 2004. Potentials of solar energy development for water pumping in Jordan. Renewable Energy, 29, 1393-1399.
28. Jamil, M., Parsa, S., Majidi, M., 1995. Wind power statistics and an evalution of wind energy density. Renewable Energy, 6(5), 623- 628.
29. Jaramillo, O.A., Borja, M.A., Huacuz, J.M., 2004. Using hydropower to complement wind energy: a hybrid system to provide firm power. Renewable Energy, 29, 1887-1909.
30. Li, G., 2000. Feasibility of large scale offshore wind power for Hong Kong- a preliminary study. Renewable Energy, 21, 387-402.
31. Liu, H., 1991. Wind Engineering- A Handbook for Structural Engineers. Prentice Hall, Inc, USA.
32. Lu, L., Yang, H., Burnett, J., 2002. Investigation on wind power potential on Hong Kong- an analysis of wind power and wind turbine characteristics. Renewable Energy, 27, 1-12.
33. Lun, I.Y.F., Lam, J.C., 2000. A study of Weibull parameters using long-term wind observations. Renewable Energy, 20, 145-153.
34. Manwell, J.F., McGowan, J.G., Rogers, A.L., 2002. Wind energy Explained- Theory, Design and Application. John Wiley & Sons.
35. Mathew, S., Pandey, K.P., Kumar, A., 2002. Analysis of wind regimes for energy estimation. Renewable Energy, 25, 381-399.
36. Marion, B., Adelstein, J., Boyle, K., Hayden, H., Hammnond, B., Fletcher, T., Canada, B., Narang, D., Shugar, D., Wenger, H., Kimber,A., Mitchell, L., Rich, G., Townsend., T., 2005. Performance parameters for grid-connected PV systems.NREL/CP-520-37358.
37. Mehmet, Y., Ali, N.C., 2006. A critical review on the estimation of daily global soalr radiation from sunshine duriation. Energy Conversion and Management , 47, 2441-2450.
38. Patel, M.R., 1999. Wind and Solar Power Systems. CRC Press,Florida, USA.
39. Stevens, M.J.M., Smulders, P.T., 1979. The estimation of parameters of Weibull wind speed distribution for wind energy utilizationpurposes. Wind Engineering, 32, 132-145.
40. Tan, K., Islam, S., 2004. Optimun control strategies in energy conversion of PMSG wind turbine system without mechanical sensors. Energy Conservation, 19-2, 392-399.
41. Tina, G.., Gagliano, S., Raiti, S., 2006. Hybrid soalr/wind power system probabilistic modeling for long-term performance assessment.Solar Energy, 80, 578-588.
42. U.S. Energy Information Administration, 2003. International Energy Outlook 2002.
43. You, S., Yang, H., 1997. The potential electricity generating capacity of BIPV in Hong Kong, 26th PVSC, Anaheim, CA.
44. Zekai, S., 2006. Simple nonlinear solar irradiation estimation model.Renewwable Energy, 32, 342-350.