Prediction of optimum section pitch angle distribution along wind turbine blades
► Prediction of optimum pitch angle along wind turbine blades. ► Maximum electrical power extraction at the installation site. ► Solving BEM equations with the probability distribution function of wind speed at a installation site. In this paper, the boost in electrical energy production of horizont...
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Veröffentlicht in: | Energy conversion and management 2013-03, Vol.67, p.342-350 |
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creator | Sharifi, A. Nobari, M.R.H. |
description | ► Prediction of optimum pitch angle along wind turbine blades. ► Maximum electrical power extraction at the installation site. ► Solving BEM equations with the probability distribution function of wind speed at a installation site.
In this paper, the boost in electrical energy production of horizontal-axis wind turbines with fixed rotor speed is studied. To achieve this, a new innovative algorithm is proposed and justified to predict a distribution of section pitch angle along wind turbine blades that corresponds to the maximum power extraction in the installation site. A code is developed based on the blade element momentum theory which incorporates different corrections such as the tip loss correction. This aerodynamic code is capable of accurately predicting the aerodynamics of horizontal-axis wind turbines. |
doi_str_mv | 10.1016/j.enconman.2012.12.010 |
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In this paper, the boost in electrical energy production of horizontal-axis wind turbines with fixed rotor speed is studied. To achieve this, a new innovative algorithm is proposed and justified to predict a distribution of section pitch angle along wind turbine blades that corresponds to the maximum power extraction in the installation site. A code is developed based on the blade element momentum theory which incorporates different corrections such as the tip loss correction. This aerodynamic code is capable of accurately predicting the aerodynamics of horizontal-axis wind turbines.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2012.12.010</identifier><identifier>CODEN: ECMADL</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Aerodynamics ; Algorithms ; Applied sciences ; BEM ; Blade ; Blades ; Direct power generation ; Energy ; Energy. Thermal use of fuels ; Engines and turbines ; Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc ; Exact sciences and technology ; Natural energy ; Optimization ; Pitch angle ; Rotor speed ; Section pitch angle ; Tip loss ; Twisted ; Wind energy ; Wind turbine ; Wind turbines</subject><ispartof>Energy conversion and management, 2013-03, Vol.67, p.342-350</ispartof><rights>2012 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-bf63949149e477a4b414a033942e07499e894ac2ab2487b6c0b308bc74fd95ae3</citedby><cites>FETCH-LOGICAL-c416t-bf63949149e477a4b414a033942e07499e894ac2ab2487b6c0b308bc74fd95ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enconman.2012.12.010$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27184505$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Sharifi, A.</creatorcontrib><creatorcontrib>Nobari, M.R.H.</creatorcontrib><title>Prediction of optimum section pitch angle distribution along wind turbine blades</title><title>Energy conversion and management</title><description>► Prediction of optimum pitch angle along wind turbine blades. ► Maximum electrical power extraction at the installation site. ► Solving BEM equations with the probability distribution function of wind speed at a installation site.
In this paper, the boost in electrical energy production of horizontal-axis wind turbines with fixed rotor speed is studied. To achieve this, a new innovative algorithm is proposed and justified to predict a distribution of section pitch angle along wind turbine blades that corresponds to the maximum power extraction in the installation site. A code is developed based on the blade element momentum theory which incorporates different corrections such as the tip loss correction. This aerodynamic code is capable of accurately predicting the aerodynamics of horizontal-axis wind turbines.</description><subject>Aerodynamics</subject><subject>Algorithms</subject><subject>Applied sciences</subject><subject>BEM</subject><subject>Blade</subject><subject>Blades</subject><subject>Direct power generation</subject><subject>Energy</subject><subject>Energy. Thermal use of fuels</subject><subject>Engines and turbines</subject><subject>Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc</subject><subject>Exact sciences and technology</subject><subject>Natural energy</subject><subject>Optimization</subject><subject>Pitch angle</subject><subject>Rotor speed</subject><subject>Section pitch angle</subject><subject>Tip loss</subject><subject>Twisted</subject><subject>Wind energy</subject><subject>Wind turbine</subject><subject>Wind turbines</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LxDAQhoMouK7-BelF8NJ1kqYfuSmLXyDoQc8hSadrljZZk1bx3xvd1aswMDDzvu8wDyGnFBYUaHWxXqAz3g3KLRhQtkgFFPbIjDa1yBlj9T6ZARVV3gjgh-QoxjUAFCVUM_L0FLC1ZrTeZb7L_Ga0wzRkEbejjR3Na6bcqsestXEMVk8_C9V7t8o-rGuzcQraOsx0r1qMx-SgU33Ek12fk5eb6-flXf7weHu_vHrIDafVmOuuKgQXlAvkda245pQrKNKMIdRcCGwEV4YpzXhT68qALqDRpuZdK0qFxZycb3M3wb9NGEc52Giw75VDP0VJi6qkZcGYSNJqKzXBxxiwk5tgBxU-JQX5jVCu5S9C-Y1QpkoIk_Fsd0NFo_ouKGds_HOzmja8hDLpLrc6TA-_WwwyGpsSE9mQQMrW2_9OfQHgdorK</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Sharifi, A.</creator><creator>Nobari, M.R.H.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20130301</creationdate><title>Prediction of optimum section pitch angle distribution along wind turbine blades</title><author>Sharifi, A. ; Nobari, M.R.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-bf63949149e477a4b414a033942e07499e894ac2ab2487b6c0b308bc74fd95ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Aerodynamics</topic><topic>Algorithms</topic><topic>Applied sciences</topic><topic>BEM</topic><topic>Blade</topic><topic>Blades</topic><topic>Direct power generation</topic><topic>Energy</topic><topic>Energy. Thermal use of fuels</topic><topic>Engines and turbines</topic><topic>Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc</topic><topic>Exact sciences and technology</topic><topic>Natural energy</topic><topic>Optimization</topic><topic>Pitch angle</topic><topic>Rotor speed</topic><topic>Section pitch angle</topic><topic>Tip loss</topic><topic>Twisted</topic><topic>Wind energy</topic><topic>Wind turbine</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharifi, A.</creatorcontrib><creatorcontrib>Nobari, M.R.H.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Energy conversion and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharifi, A.</au><au>Nobari, M.R.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of optimum section pitch angle distribution along wind turbine blades</atitle><jtitle>Energy conversion and management</jtitle><date>2013-03-01</date><risdate>2013</risdate><volume>67</volume><spage>342</spage><epage>350</epage><pages>342-350</pages><issn>0196-8904</issn><eissn>1879-2227</eissn><coden>ECMADL</coden><abstract>► Prediction of optimum pitch angle along wind turbine blades. ► Maximum electrical power extraction at the installation site. ► Solving BEM equations with the probability distribution function of wind speed at a installation site.
In this paper, the boost in electrical energy production of horizontal-axis wind turbines with fixed rotor speed is studied. To achieve this, a new innovative algorithm is proposed and justified to predict a distribution of section pitch angle along wind turbine blades that corresponds to the maximum power extraction in the installation site. A code is developed based on the blade element momentum theory which incorporates different corrections such as the tip loss correction. This aerodynamic code is capable of accurately predicting the aerodynamics of horizontal-axis wind turbines.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2012.12.010</doi><tpages>9</tpages></addata></record> |
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subjects | Aerodynamics Algorithms Applied sciences BEM Blade Blades Direct power generation Energy Energy. Thermal use of fuels Engines and turbines Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc Exact sciences and technology Natural energy Optimization Pitch angle Rotor speed Section pitch angle Tip loss Twisted Wind energy Wind turbine Wind turbines |
title | Prediction of optimum section pitch angle distribution along wind turbine blades |
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