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Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application / NIKOLAY LITOV

Swansea University Author: NIKOLAY LITOV

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DOI (Published version): 10.23889/SUthesis.62404

Abstract

The increased adoption of wind energy is an important part of the push towards a net zero-emission economy. One obstacle that stands in the way of a higher rate of wind energy adoption is the interference that wind turbines cause to nearby radar installations. Wind turbines negatively affect the per...

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Published: Swansea 2023
Institution: Swansea University
Degree level: Doctoral
Degree name: EngD
Supervisor: Mehta, Amit ; Deganello, Davide
URI: https://cronfa.swan.ac.uk/Record/cronfa62404
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first_indexed 2023-01-23T14:06:56Z
last_indexed 2023-01-24T04:19:25Z
id cronfa62404
recordtype RisThesis
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spelling 2023-01-23T14:27:40.9094373 v2 62404 2023-01-23 Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application 2804c1a95e4266dd9e0118a24194633a NIKOLAY LITOV NIKOLAY LITOV true false 2023-01-23 The increased adoption of wind energy is an important part of the push towards a net zero-emission economy. One obstacle that stands in the way of a higher rate of wind energy adoption is the interference that wind turbines cause to nearby radar installations. Wind turbines negatively affect the performance of nearby radar sites in a variety of different ways. Almost all types of radar are affected in at least one of these ways.In order to understand the degree to which an object such as a wind turbine interacts with radar, it is important to have detailed radar cross section (RCS) data for the object. In this work, a novel, low-cost, scale model radar cross section characterization system is presented with various advantages over traditional designs. This system was used to characterize the RCS of the novel Crossflow wind turbine. Additionally, work has been carried out on the characterization of metamaterial absorber coatings that can be applied to new and existing turbines for the purposes of reducing their radar cross section and the degree to which they cause radar inter-ference. The works presented can be leveraged to reduce concerns around radar interference from wind turbines, as well as to iteratively generate ge-ometries with lower radar cross sections for the aviation and infrastructure sectors, ultimately accelerating the pace of wind energy adoption and the move towards a net zero-emission economy. E-Thesis Swansea Radar, aviation radar, wind energy, radar cross section, scale model RCS measurements, automated RCS testbed, metamaterials, metamaterial absorber, frequency selective surface 18 1 2023 2023-01-18 10.23889/SUthesis.62404 ORCiD identifier: https://orcid.org/0000-0002-7694-3924 COLLEGE NANME COLLEGE CODE Swansea University Mehta, Amit ; Deganello, Davide Doctoral EngD M2A, Swansea University, Crossflow Energy, WEFO 2023-01-23T14:27:40.9094373 2023-01-23T14:03:28.6507426 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering NIKOLAY LITOV 1 62404__26367__52339e21c5b943a092bc463829c2269a.pdf Litov_Nikolay_EngD_Thesis_Final_Cronfa.pdf 2023-01-23T14:27:02.0502366 Output 13769451 application/pdf E-Thesis – open access true Copyright: The author, Nikolay Litov, 2023. Released under the terms of a Creative Commons Attribution-Share Alike (CC-BY-SA) License. Third party content is excluded for use under the license terms. true eng https://creativecommons.org/licenses/by-sa/4.0/
title Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application
spellingShingle Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application
NIKOLAY LITOV
title_short Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application
title_full Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application
title_fullStr Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application
title_full_unstemmed Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application
title_sort Investigation of Radar Signal Interaction with Crossflow Turbine for Aviation Application
author_id_str_mv 2804c1a95e4266dd9e0118a24194633a
author_id_fullname_str_mv 2804c1a95e4266dd9e0118a24194633a_***_NIKOLAY LITOV
author NIKOLAY LITOV
author2 NIKOLAY LITOV
format E-Thesis
publishDate 2023
institution Swansea University
doi_str_mv 10.23889/SUthesis.62404
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering
document_store_str 1
active_str 0
description The increased adoption of wind energy is an important part of the push towards a net zero-emission economy. One obstacle that stands in the way of a higher rate of wind energy adoption is the interference that wind turbines cause to nearby radar installations. Wind turbines negatively affect the performance of nearby radar sites in a variety of different ways. Almost all types of radar are affected in at least one of these ways.In order to understand the degree to which an object such as a wind turbine interacts with radar, it is important to have detailed radar cross section (RCS) data for the object. In this work, a novel, low-cost, scale model radar cross section characterization system is presented with various advantages over traditional designs. This system was used to characterize the RCS of the novel Crossflow wind turbine. Additionally, work has been carried out on the characterization of metamaterial absorber coatings that can be applied to new and existing turbines for the purposes of reducing their radar cross section and the degree to which they cause radar inter-ference. The works presented can be leveraged to reduce concerns around radar interference from wind turbines, as well as to iteratively generate ge-ometries with lower radar cross sections for the aviation and infrastructure sectors, ultimately accelerating the pace of wind energy adoption and the move towards a net zero-emission economy.
published_date 2023-01-18T04:22:00Z
_version_ 1763754450712788992
score 11.035874

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