{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1581"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1581","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Blade resolved simulation of wind farms","abstract":"This research examines the feasibility of reducing the time to solution for a high-fidelity, blade-resolved CFD simulation of a wind farm using Tenasi. The intent is to reduce the overall cost by initializing the flow fields of the individual turbines in the wind farm using a steady state or an unsteady simulation of a single turbine. This is achieved by replicating the mesh and the solution corresponding to a single turbine repeatedly, thus initializing the solution for the entire wind farm. The wind farm consists of the DTU 10 MW Reference Wind Turbines. Results compared to the “from scratch” solutions shows a 25 – 50% reduction in computational cost for steady simulations. For unsteady simulations, it is hypothesized that the savings could be on the order of 70%.","abstract_html":"This research examines the feasibility of reducing the time to solution for a high-fidelity, blade-resolved CFD simulation of a wind farm using Tenasi. The intent is to reduce the overall cost by initializing the flow fields of the individual turbines in the wind farm using a steady state or an unsteady simulation of a single turbine. This is achieved by replicating the mesh and the solution corresponding to a single turbine repeatedly, thus initializing the solution for the entire wind farm. The wind farm consists of the DTU 10 MW Reference Wind Turbines. Results compared to the “from scratch” solutions shows a 25 – 50% reduction in computational cost for steady simulations. For unsteady simulations, it is hypothesized that the savings could be on the order of 70%.","abstract_has_math":false,"creators":["Hassan, Walied E."],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Sreenivas, Kidambi","Nichols, Stephen; Taylor, Lafayette K.","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:28Z","subjects":["Wind power plants","Wind turbines"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/444","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sreenivas, Kidambi","Nichols, Stephen; Taylor, Lafayette K.","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Hassan, Walied E."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-12-01T08:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Wind power plants","Wind turbines"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/444"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Computational Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["This research examines the feasibility of reducing the time to solution for a high-fidelity, blade-resolved CFD simulation of a wind farm using Tenasi. The intent is to reduce the overall cost by initializing the flow fields of the individual turbines in the wind farm using a steady state or an unsteady simulation of a single turbine. This is achieved by replicating the mesh and the solution corresponding to a single turbine repeatedly, thus initializing the solution for the entire wind farm. The wind farm consists of the DTU 10 MW Reference Wind Turbines. Results compared to the “from scratch” solutions shows a 25 – 50% reduction in computational cost for steady simulations. For unsteady simulations, it is hypothesized that the savings could be on the order of 70%."]},{"key":"dc:title","label":"Title","values":["Blade resolved simulation of wind farms"]}]}],"canonical_facts":{"dc:contributor":["Sreenivas, Kidambi","Nichols, Stephen; Taylor, Lafayette K.","College of Engineering and Computer Science"],"dc:creator":["Hassan, Walied E."],"dc:date":["2015-12-01T08:00:00Z"],"dc:description":["Dept. of Computational Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["This research examines the feasibility of reducing the time to solution for a high-fidelity, blade-resolved CFD simulation of a wind farm using Tenasi. The intent is to reduce the overall cost by initializing the flow fields of the individual turbines in the wind farm using a steady state or an unsteady simulation of a single turbine. This is achieved by replicating the mesh and the solution corresponding to a single turbine repeatedly, thus initializing the solution for the entire wind farm. The wind farm consists of the DTU 10 MW Reference Wind Turbines. Results compared to the “from scratch” solutions shows a 25 – 50% reduction in computational cost for steady simulations. For unsteady simulations, it is hypothesized that the savings could be on the order of 70%."],"dc:identifier":["https://scholar.utc.edu/theses/444"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Wind power plants","Wind turbines"],"dc:title":["Blade resolved simulation of wind farms"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:28Z"}