風力發電機性能的逆向預測與驗證

HAWT Performance Prediction by Inverse Alogrithm andExperimental Verification

余建達(Chien-Ta Yu)

指導教授 ： 姜庭隆

國立屏東科技大學/工學院/機械工程系所/碩士(2008年)

摘要

本論文之主要目的在提供一種以動量理論（Momentun treory）與葉片元素理論（Blade Element Treory）設計葉片的概念，發展出一套對現有的風力機組的性能評估之逆向預測方法。在本方法中，只須簡單的量測現有葉片的長度、各斷面的半徑、弦長、節距角，假設葉片是NACA4415的翼形，即可利用HAWT-BPA程式分析出此組葉片在不同風速、轉速下所能提供的功率。本研究並配合實際的實驗，以Southwest Windpower公司之Air-X land 400W型風力機進行實地測試，經最小平方修正實驗數據、來驗證上述的預測方法之可行性與正確性，結果證實此逆向預測方法確實有效。

關鍵字

動量理論 ； 葉片元素理論 ； 最小平方修正 ； 逆向預測

並列摘要

This thesis presents a simple and effective inverse algorithm which can be used to predict the performance of a HAWT at various operating conditions. In the present method, required information are: the number and some simple geometric description of the blades. Geometric data includes: pitch angle and chord length at various cross section of the blade. Precised airfoil geometry at each cross section is not required. The inverse algorithm proved effective and accurate after verified with field experiments using the Air-X land 400W model wind turbine manufactured by Southwest Windpower.

並列關鍵字

Momentum theory ； Blade element theory, ； The Least Square Method ； Inverse Alogrithm

參考文獻

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