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Dynamic performance of a passively self-adjusting floating wind farm layout to increase the annual energy production
One of the main differences between floating offshore wind turbines (FOWTs) and fixed-bottom turbines is the angular and translational motions of FOWTs. When it comes to planning a floating wind farm (FWF), the translational motions introduce an additional layer of complexity to the FWF layout. The...
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Published in: | Wind Energy Science 2024-07, Vol.9 (7), p.1595-1615 |
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description | One of the main differences between floating offshore wind turbines (FOWTs) and fixed-bottom turbines is the angular and translational motions of FOWTs. When it comes to planning a floating wind farm (FWF), the translational motions introduce an additional layer of complexity to the FWF layout. The ability of a FOWT to relocate its position represents an opportunity to mitigate wake losses within an FWF. By passively relocating downwind turbines out of the wake generated by upwind turbines, we can reduce wake-induced energy losses and enhance overall energy production. The translational movements of FOWTs are governed by the mooring system attached to it. The way a FOWT relocates its position changes if the design of the mooring system attached to it changes. Additionally, the translational motion of a FOWT attached to a given mooring system is different for different wind directions. Hence, we can tailor a mooring system design for a FOWT to passively control its motions according to the wind direction. In this work, we present a new self-adjusting FWF layout design and assess its performance using both static and dynamic methods. The results show that relocating the FOWTs in an FWF can increase the energy production by 3 % using a steady-state wake model and 1.4 % using a dynamic wake model at a wind speed of 10 m s-1. Moreover, we compare the fatigue and ultimate loads of the mooring systems of the self-adjusting FWF layout design to the mooring systems in a current state-of-the-art FWF baseline design. The comparison shows that with smaller mooring system diameters, the self-adjusting FWF design has similar fatigue damage compared to the baseline design with bigger mooring system diameters at rated wind speed. Finally, the ultimate loads on the mooring systems of the self-adjusting FWF design are lower than those on the mooring systems of the baseline design. |
doi_str_mv | 10.5194/wes-9-1595-2024 |
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When it comes to planning a floating wind farm (FWF), the translational motions introduce an additional layer of complexity to the FWF layout. The ability of a FOWT to relocate its position represents an opportunity to mitigate wake losses within an FWF. By passively relocating downwind turbines out of the wake generated by upwind turbines, we can reduce wake-induced energy losses and enhance overall energy production. The translational movements of FOWTs are governed by the mooring system attached to it. The way a FOWT relocates its position changes if the design of the mooring system attached to it changes. Additionally, the translational motion of a FOWT attached to a given mooring system is different for different wind directions. Hence, we can tailor a mooring system design for a FOWT to passively control its motions according to the wind direction. In this work, we present a new self-adjusting FWF layout design and assess its performance using both static and dynamic methods. The results show that relocating the FOWTs in an FWF can increase the energy production by 3 % using a steady-state wake model and 1.4 % using a dynamic wake model at a wind speed of 10 m s-1. Moreover, we compare the fatigue and ultimate loads of the mooring systems of the self-adjusting FWF layout design to the mooring systems in a current state-of-the-art FWF baseline design. The comparison shows that with smaller mooring system diameters, the self-adjusting FWF design has similar fatigue damage compared to the baseline design with bigger mooring system diameters at rated wind speed. Finally, the ultimate loads on the mooring systems of the self-adjusting FWF design are lower than those on the mooring systems of the baseline design.</description><identifier>ISSN: 2366-7443</identifier><identifier>EISSN: 2366-7451</identifier><identifier>DOI: 10.5194/wes-9-1595-2024</identifier><language>eng</language><publisher>Göttingen: Copernicus GmbH</publisher><subject>Design ; Energy ; Offshore ; Optimization techniques ; Systems design ; Turbines ; Wind farms ; Wind power ; Wind speed</subject><ispartof>Wind Energy Science, 2024-07, Vol.9 (7), p.1595-1615</ispartof><rights>2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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When it comes to planning a floating wind farm (FWF), the translational motions introduce an additional layer of complexity to the FWF layout. The ability of a FOWT to relocate its position represents an opportunity to mitigate wake losses within an FWF. By passively relocating downwind turbines out of the wake generated by upwind turbines, we can reduce wake-induced energy losses and enhance overall energy production. The translational movements of FOWTs are governed by the mooring system attached to it. The way a FOWT relocates its position changes if the design of the mooring system attached to it changes. Additionally, the translational motion of a FOWT attached to a given mooring system is different for different wind directions. Hence, we can tailor a mooring system design for a FOWT to passively control its motions according to the wind direction. In this work, we present a new self-adjusting FWF layout design and assess its performance using both static and dynamic methods. The results show that relocating the FOWTs in an FWF can increase the energy production by 3 % using a steady-state wake model and 1.4 % using a dynamic wake model at a wind speed of 10 m s-1. Moreover, we compare the fatigue and ultimate loads of the mooring systems of the self-adjusting FWF layout design to the mooring systems in a current state-of-the-art FWF baseline design. The comparison shows that with smaller mooring system diameters, the self-adjusting FWF design has similar fatigue damage compared to the baseline design with bigger mooring system diameters at rated wind speed. Finally, the ultimate loads on the mooring systems of the self-adjusting FWF design are lower than those on the mooring systems of the baseline design.</description><subject>Design</subject><subject>Energy</subject><subject>Offshore</subject><subject>Optimization techniques</subject><subject>Systems design</subject><subject>Turbines</subject><subject>Wind farms</subject><subject>Wind power</subject><subject>Wind speed</subject><issn>2366-7443</issn><issn>2366-7451</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNo9j0tr3TAUhE1poCHNultB1k4l62UtQ5oXBLJp1uZIOrrVxVe6leQE__uYJAQGZpjFx0zX_WL0UjIjfr9i7U3PpJH9QAfxrTsduFK9FpJ9_8qC_-jOa91TSgfKOB_1adf-rAkO0ZEjlpDLAZJDkgMBcoRa4wvOK6k4hx78fqktph0Jc4b38BqTJwHKgcyw5qWRlklMriBUJO0fEkhpgZlgwrJbybFkv7gWc_rZnQSYK55_-ln3fHvz9_q-f3y6e7i-euzdMOrWaxnCqC1Sbiy3aDFov2lAOwoPVnMpqTdBUvR0NJaNQjGlPKJzcmCo-Fn38MH1GfbTscQDlHXKEKf3IpfdBKVFN-PkgYLgzAehUBhnQVHKLZcARkvm-Ma6-GBtN_4vWNu0z0tJ2_yJ03FborQR_A0MOHoi</recordid><startdate>20240729</startdate><enddate>20240729</enddate><creator>Mohammad Youssef Mahfouz</creator><creator>Lozon, Ericka</creator><creator>Hall, Matthew</creator><creator>Po Wen Cheng</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope></search><sort><creationdate>20240729</creationdate><title>Dynamic performance of a passively self-adjusting floating wind farm layout to increase the annual energy production</title><author>Mohammad Youssef Mahfouz ; Lozon, Ericka ; Hall, Matthew ; Po Wen Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c287t-75ff87be039b3bebef7df7d2eb84dab73550d9f50ed089b1846166deecc521e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Design</topic><topic>Energy</topic><topic>Offshore</topic><topic>Optimization techniques</topic><topic>Systems design</topic><topic>Turbines</topic><topic>Wind farms</topic><topic>Wind power</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohammad Youssef Mahfouz</creatorcontrib><creatorcontrib>Lozon, Ericka</creatorcontrib><creatorcontrib>Hall, Matthew</creatorcontrib><creatorcontrib>Po Wen Cheng</creatorcontrib><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Wind Energy Science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mohammad Youssef Mahfouz</au><au>Lozon, Ericka</au><au>Hall, Matthew</au><au>Po Wen Cheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic performance of a passively self-adjusting floating wind farm layout to increase the annual energy production</atitle><jtitle>Wind Energy Science</jtitle><date>2024-07-29</date><risdate>2024</risdate><volume>9</volume><issue>7</issue><spage>1595</spage><epage>1615</epage><pages>1595-1615</pages><issn>2366-7443</issn><eissn>2366-7451</eissn><abstract>One of the main differences between floating offshore wind turbines (FOWTs) and fixed-bottom turbines is the angular and translational motions of FOWTs. 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The results show that relocating the FOWTs in an FWF can increase the energy production by 3 % using a steady-state wake model and 1.4 % using a dynamic wake model at a wind speed of 10 m s-1. Moreover, we compare the fatigue and ultimate loads of the mooring systems of the self-adjusting FWF layout design to the mooring systems in a current state-of-the-art FWF baseline design. The comparison shows that with smaller mooring system diameters, the self-adjusting FWF design has similar fatigue damage compared to the baseline design with bigger mooring system diameters at rated wind speed. Finally, the ultimate loads on the mooring systems of the self-adjusting FWF design are lower than those on the mooring systems of the baseline design.</abstract><cop>Göttingen</cop><pub>Copernicus GmbH</pub><doi>10.5194/wes-9-1595-2024</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Design Energy Offshore Optimization techniques Systems design Turbines Wind farms Wind power Wind speed |
title | Dynamic performance of a passively self-adjusting floating wind farm layout to increase the annual energy production |
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