{"id":{"repo_id":"tdl","oai_identifier":"oai:tdl-ir.tdl.org:2346/85978"},"canonical_url":"https://search.dev.ndltd.org/etd/tdl/oai:tdl-ir.tdl.org:2346/85978","repository":{"repo_id":"tdl","name":"Texas Digital Library","base_url":"https://tdl-ir.tdl.org/server/oai/request"},"display":{"title":"Dynamic wind turbine wake trajectory control: Strategies and real-time validation","abstract":"Wind farm control has demonstrated power production enhancements using yaw-based wake steering. However, slower yaw actuation rates compared to inflow change rate cause time-varying downstream-rotor-wake overlap conditions, diminishing its benefits. To accommodate for inflow variations, closed-loop wake control can be an effective approach to minimize wake trajectory uncertainty. In this regard, the contribution of this dissertation represents preliminary work in the construction of closed-loop wake control, where the contribution is focused on the development and validation of its fundamental building blocks: wake actuation and wake position detection. To emulate the full-scale physics of wake control based on changes in real time, the wind tunnel-based platform HAWKS, equipped with a fully controllable model wind turbine and advanced flow monitoring system, was developed and its wake prediction capabilities were validated. In regard to the wake actuation, this dissertation proposes a novel wind turbine yaw-based wake steering method that incorporates rotor speed control, a much faster control action, to reduce wake deflection oscillations caused by variable inflow direction. It was found that the variable inflow direction causes proportional changes in the cross-stream thrust component leading to wake trajectory variations. This wake trajectory stabilization method is based on counteracting the inflow cross-stream thrust effect by altering the rotor speed. In regard to the wake position detection, this dissertation proposes the tip-vortex-based tracking approach, which tracks the instantaneous strengths of the streamwise 1P spectral energy peaks as the wake interface oscillate around a desired position. It was demonstrated through wind tunnel experiments that yaw-based wake steering statically applied in combination with speed control effectively improves the mixing or momentum transport leading to enhance wake recovery and counteracts the dynamic cross-stream thrust component induced by variable inflow direction. The tip-vortex-based tracking approach revealed wake oscillation reduction around a desired position resulting from static yaw","abstract_html":"Wind farm control has demonstrated power production enhancements using yaw-based wake steering. However, slower yaw actuation rates compared to inflow change rate cause time-varying downstream-rotor-wake overlap conditions, diminishing its benefits. To accommodate for inflow variations, closed-loop wake control can be an effective approach to minimize wake trajectory uncertainty. In this regard, the contribution of this dissertation represents preliminary work in the construction of closed-loop wake control, where the contribution is focused on the development and validation of its fundamental building blocks: wake actuation and wake position detection. To emulate the full-scale physics of wake control based on changes in real time, the wind tunnel-based platform HAWKS, equipped with a fully controllable model wind turbine and advanced flow monitoring system, was developed and its wake prediction capabilities were validated. In regard to the wake actuation, this dissertation proposes a novel wind turbine yaw-based wake steering method that incorporates rotor speed control, a much faster control action, to reduce wake deflection oscillations caused by variable inflow direction. It was found that the variable inflow direction causes proportional changes in the cross-stream thrust component leading to wake trajectory variations. This wake trajectory stabilization method is based on counteracting the inflow cross-stream thrust effect by altering the rotor speed. In regard to the wake position detection, this dissertation proposes the tip-vortex-based tracking approach, which tracks the instantaneous strengths of the streamwise 1P spectral energy peaks as the wake interface oscillate around a desired position. It was demonstrated through wind tunnel experiments that yaw-based wake steering statically applied in combination with speed control effectively improves the mixing or momentum transport leading to enhance wake recovery and counteracts the dynamic cross-stream thrust component induced by variable inflow direction. The tip-vortex-based tracking approach revealed wake oscillation reduction around a desired position resulting from static yaw","abstract_has_math":false,"creators":["Castillo Solis, Ricardo"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Westergaard, Carsten","Pol, Suhas","Pal, Ranadip","Bayne, Stephen B."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08","date_published":"2019-08","updated_at":"2026-07-27T21:19:06Z","subjects":["Wind turbine wake","Wake control","Wind farm control","Wake steering","Wake detection"],"languages":["eng"],"rights":["Restricted until 2024-09."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2346/85978","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Westergaard, Carsten","Pol, Suhas","Pal, Ranadip","Bayne, Stephen B."]},{"key":"dc:creator","label":"Author","values":["Castillo Solis, Ricardo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2020-06-23T23:56:11Z","2026-02-19T18:25:22Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2020-06-23T23:56:11Z"]},{"key":"dc:date.issued","label":"Date","values":["2019-08"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Wind turbine wake","Wake control","Wind farm control","Wake steering","Wake detection"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Restricted until 2024-09."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2346/85978"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/2346/85978"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Wind farm control has demonstrated power production enhancements using yaw-based wake steering. However, slower yaw actuation rates compared to inflow change rate cause time-varying downstream-rotor-wake overlap conditions, diminishing its benefits. To accommodate for inflow variations, closed-loop wake control can be an effective approach to minimize wake trajectory uncertainty. In this regard, the contribution of this dissertation represents preliminary work in the construction of closed-loop wake control, where the contribution is focused on the development and validation of its fundamental building blocks: wake actuation and wake position detection. To emulate the full-scale physics of wake control based on changes in real time, the wind tunnel-based platform HAWKS, equipped with a fully controllable model wind turbine and advanced flow monitoring system, was developed and its wake prediction capabilities were validated. In regard to the wake actuation, this dissertation proposes a novel wind turbine yaw-based wake steering method that incorporates rotor speed control, a much faster control action, to reduce wake deflection oscillations caused by variable inflow direction. It was found that the variable inflow direction causes proportional changes in the cross-stream thrust component leading to wake trajectory variations. This wake trajectory stabilization method is based on counteracting the inflow cross-stream thrust effect by altering the rotor speed. In regard to the wake position detection, this dissertation proposes the tip-vortex-based tracking approach, which tracks the instantaneous strengths of the streamwise 1P spectral energy peaks as the wake interface oscillate around a desired position. It was demonstrated through wind tunnel experiments that yaw-based wake steering statically applied in combination with speed control effectively improves the mixing or momentum transport leading to enhance wake recovery and counteracts the dynamic cross-stream thrust component induced by variable inflow direction. The tip-vortex-based tracking approach revealed wake oscillation reduction around a desired position resulting from static yaw"]},{"key":"dc:title","label":"Title","values":["Dynamic wind turbine wake trajectory control: Strategies and real-time validation"]}]}],"canonical_facts":{"dc:contributor":["Westergaard, Carsten","Pol, Suhas","Pal, Ranadip","Bayne, Stephen B."],"dc:creator":["Castillo Solis, Ricardo"],"dc:date.accessioned":["2020-06-23T23:56:11Z","2026-02-19T18:25:22Z"],"dc:date.available":["2020-06-23T23:56:11Z"],"dc:date.issued":["2019-08"],"dc:description.abstract":["Wind farm control has demonstrated power production enhancements using yaw-based wake steering. However, slower yaw actuation rates compared to inflow change rate cause time-varying downstream-rotor-wake overlap conditions, diminishing its benefits. To accommodate for inflow variations, closed-loop wake control can be an effective approach to minimize wake trajectory uncertainty. In this regard, the contribution of this dissertation represents preliminary work in the construction of closed-loop wake control, where the contribution is focused on the development and validation of its fundamental building blocks: wake actuation and wake position detection. To emulate the full-scale physics of wake control based on changes in real time, the wind tunnel-based platform HAWKS, equipped with a fully controllable model wind turbine and advanced flow monitoring system, was developed and its wake prediction capabilities were validated. In regard to the wake actuation, this dissertation proposes a novel wind turbine yaw-based wake steering method that incorporates rotor speed control, a much faster control action, to reduce wake deflection oscillations caused by variable inflow direction. It was found that the variable inflow direction causes proportional changes in the cross-stream thrust component leading to wake trajectory variations. This wake trajectory stabilization method is based on counteracting the inflow cross-stream thrust effect by altering the rotor speed. In regard to the wake position detection, this dissertation proposes the tip-vortex-based tracking approach, which tracks the instantaneous strengths of the streamwise 1P spectral energy peaks as the wake interface oscillate around a desired position. It was demonstrated through wind tunnel experiments that yaw-based wake steering statically applied in combination with speed control effectively improves the mixing or momentum transport leading to enhance wake recovery and counteracts the dynamic cross-stream thrust component induced by variable inflow direction. The tip-vortex-based tracking approach revealed wake oscillation reduction around a desired position resulting from static yaw"],"dc:identifier":["https://hdl.handle.net/2346/85978"],"dc:identifier.uri":["https://hdl.handle.net/2346/85978"],"dc:language":["eng"],"dc:rights":["Restricted until 2024-09."],"dc:subject":["Wind turbine wake","Wake control","Wind farm control","Wake steering","Wake detection"],"dc:title":["Dynamic wind turbine wake trajectory control: Strategies and real-time validation"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T21:19:06Z"}