國立虎尾科技大學 |

登入

回首頁

Blade pitch optimization methods for...

ProQuest Information and Learning Co.

Blade pitch optimization methods for vertical-axis wind turbines.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Blade pitch optimization methods for vertical-axis wind turbines./
作者:	Kozak, Peter.
面頁冊數:	1 online resource (125 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.
Contained By:	Dissertation Abstracts International78-03B(E).
標題:	Aerospace engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781369286755

Blade pitch optimization methods for vertical-axis wind turbines.
Kozak, Peter.

Blade pitch optimization methods for vertical-axis wind turbines. - 1 online resource (125 pages)

Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Vertical-axis wind turbines (VAWTs) offer an inherently simpler design than horizontal-axis machines, while their lower blade speed mitigates safety and noise concerns, potentially allowing for installation closer to populated and ecologically sensitive areas. While VAWTs do offer significant operational advantages, development has been hampered by the difficulty of modeling the aerodynamics involved, further complicated by their rotating geometry. This thesis presents results from a simulation of a baseline VAWT computed using Star-CCM+, a commercial finite-volume (FVM) code. VAWT aerodynamics are shown to be dominated at low tip-speed ratios by dynamic stall phenomena and at high tip-speed ratios by wake-blade interactions.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369286755Subjects--Topical Terms:

686400
Aerospace engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Blade pitch optimization methods for vertical-axis wind turbines.
LDR:02590ntm a2200373Ki 4500 001 909527
005 20180426100013.5
006 m o u
007 cr mn||||a|a||
008 190606s2016 xx obm 000 0 eng d
020 $a 9781369286755
035 $a (MiAaPQ)AAI10174149
035 $a (MiAaPQ)iit:10351
035 $a AAI10174149
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Kozak, Peter. $3 1180352
245 1 0 $a Blade pitch optimization methods for vertical-axis wind turbines.
264 0 $c 2016
300 $a 1 online resource (125 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.
500 $a Adviser: Dietmar Rempfer.
502 $a Thesis (Ph.D.) $c Illinois Institute of Technology $d 2016.
504 $a Includes bibliographical references
520 $a Vertical-axis wind turbines (VAWTs) offer an inherently simpler design than horizontal-axis machines, while their lower blade speed mitigates safety and noise concerns, potentially allowing for installation closer to populated and ecologically sensitive areas. While VAWTs do offer significant operational advantages, development has been hampered by the difficulty of modeling the aerodynamics involved, further complicated by their rotating geometry. This thesis presents results from a simulation of a baseline VAWT computed using Star-CCM+, a commercial finite-volume (FVM) code. VAWT aerodynamics are shown to be dominated at low tip-speed ratios by dynamic stall phenomena and at high tip-speed ratios by wake-blade interactions.
520 $a Several optimization techniques have been developed for the adjustment of blade pitch based on finite-volume simulations and streamtube models. The effectiveness of the optimization procedure is evaluated and the basic architecture for a feedback control system is proposed. Implementation of variable blade pitch is shown to increase a baseline turbine's power output between 40%--100%, depending on the optimization technique, improving the turbine's competitiveness when compared with a commercially-available horizontal-axis turbine.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Aerospace engineering. $3 686400
650 4 $a Mechanical engineering. $3 557493
650 4 $a Applied mathematics. $3 1069907
655 7 $a Electronic books. $2 local $3 554714
690 $a 0538
690 $a 0548
690 $a 0364
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Illinois Institute of Technology. $b Mechanical, Materials and Aerospace Engineering. $3 1180353
773 0 $t Dissertation Abstracts International $g 78-03B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10174149 $z click for full text (PQDT)

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得

Export

取書館別