Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter

Co-generation, the practice of harnessing multiple renewable energy sources at a single site, has emerged as a particularly promising strategy for maximizing energy efficiency and reducing overall energy waste. By combining renewable energy technologies such as wind and wave power, hybrid energy pla...

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Bibliographic Details
Author: Kashyap, Amogh
Format: master thesis
Publication Date:2024
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/419350
Online Access:https://hdl.handle.net/2117/419350
Access Level:Open access
Keyword:Wind turbines
Wind turbines--Aerodynamics
Aerogeneradors
Aerogeneradors--Aerodinàmica
Àrees temàtiques de la UPC::Energies::Recursos energètics renovables
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oai_identifier_str oai:upcommons.upc.edu:2117/419350
network_acronym_str ES
network_name_str España
spelling Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter Kashyap, Amogh Wind turbines Wind turbines--Aerodynamics Aerogeneradors Aerogeneradors--Aerodinàmica Àrees temàtiques de la UPC::Energies::Recursos energètics renovables Co-generation, the practice of harnessing multiple renewable energy sources at a single site, has emerged as a particularly promising strategy for maximizing energy efficiency and reducing overall energy waste. By combining renewable energy technologies such as wind and wave power, hybrid energy platforms offer a more reliable and diversified energy output. This approach has the potential to address sustainability challenges by improving energy resilience and increasing the efficiency of renewable energy systems. In this context, the integration of Vertical Axis Wind Turbines (VAWTs) onto existing wave energy converter (WEC) platforms is a key area of exploration, especially as it allows for the utilization of currently unused space on the float. This thesis focuses on enhancing the energy output of NoviOcean’s WEC system by incorporating wind energy harvesting through the installation of VAWTs. The primary objective of this research is to determine the optimal height and position for VAWT installation on NoviOcean’s WEC float. To achieve this, advanced computational fluid dynamics (CFD) simulations were employed to analyze wind flow patterns around the floating structure. A variety of environmental parameters were taken into consideration, including wind speed, wind direction, and the dimensions of the float. Multiple scenarios were developed to explore the influence of float design on wind velocity distribution, turbulence, and overall performance. These simulations were instrumental in identifying regions on the float with the highest wind speeds, which are crucial for maximizing turbine efficiency. The results of the simulations revealed that the middle section of the float, at a height between 4 to 10 meters, offers the optimal balance between wind velocity and turbulence for VAWT installation. This region showed consistent wind speeds under nominal environmental conditions, ensuring maximum turbine efficiency without compromising the stability of the floating platform. In contrast, the front section of the float exhibited insufficient wind velocity, while the back section experienced higher levels of turbulence, leading to instability. Although several other scenarios were explored during this study, the standard case showed the best results for the middle section, making it the most suitable for turbine placement. The study provides strategic insights for the development of hybrid renewable energy platforms that integrate wind and wave energy systems, enhancing overall energy capture and contributing to the advancement of sustainable energy solutions. Outgoing Universitat Politècnica de Catalunya https://hdl.handle.net/2117/419350
title Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter
spellingShingle Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter
Kashyap, Amogh
Wind turbines
Wind turbines--Aerodynamics
Aerogeneradors
Aerogeneradors--Aerodinàmica
Àrees temàtiques de la UPC::Energies::Recursos energètics renovables
title_short Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter
title_full Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter
title_fullStr Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter
title_full_unstemmed Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter
title_sort Wind Flow Analysis for Optimal Vertical Axis Wind Turbine Placement on NoviOcean’s Wave Energy Converter
author Kashyap, Amogh
author_facet Kashyap, Amogh
author_role author
topic Wind turbines
Wind turbines--Aerodynamics
Aerogeneradors
Aerogeneradors--Aerodinàmica
Àrees temàtiques de la UPC::Energies::Recursos energètics renovables
topic_facet Wind turbines
Wind turbines--Aerodynamics
Aerogeneradors
Aerogeneradors--Aerodinàmica
Àrees temàtiques de la UPC::Energies::Recursos energètics renovables
description Co-generation, the practice of harnessing multiple renewable energy sources at a single site, has emerged as a particularly promising strategy for maximizing energy efficiency and reducing overall energy waste. By combining renewable energy technologies such as wind and wave power, hybrid energy platforms offer a more reliable and diversified energy output. This approach has the potential to address sustainability challenges by improving energy resilience and increasing the efficiency of renewable energy systems. In this context, the integration of Vertical Axis Wind Turbines (VAWTs) onto existing wave energy converter (WEC) platforms is a key area of exploration, especially as it allows for the utilization of currently unused space on the float. This thesis focuses on enhancing the energy output of NoviOcean’s WEC system by incorporating wind energy harvesting through the installation of VAWTs. The primary objective of this research is to determine the optimal height and position for VAWT installation on NoviOcean’s WEC float. To achieve this, advanced computational fluid dynamics (CFD) simulations were employed to analyze wind flow patterns around the floating structure. A variety of environmental parameters were taken into consideration, including wind speed, wind direction, and the dimensions of the float. Multiple scenarios were developed to explore the influence of float design on wind velocity distribution, turbulence, and overall performance. These simulations were instrumental in identifying regions on the float with the highest wind speeds, which are crucial for maximizing turbine efficiency. The results of the simulations revealed that the middle section of the float, at a height between 4 to 10 meters, offers the optimal balance between wind velocity and turbulence for VAWT installation. This region showed consistent wind speeds under nominal environmental conditions, ensuring maximum turbine efficiency without compromising the stability of the floating platform. In contrast, the front section of the float exhibited insufficient wind velocity, while the back section experienced higher levels of turbulence, leading to instability. Although several other scenarios were explored during this study, the standard case showed the best results for the middle section, making it the most suitable for turbine placement. The study provides strategic insights for the development of hybrid renewable energy platforms that integrate wind and wave energy systems, enhancing overall energy capture and contributing to the advancement of sustainable energy solutions.
publishDate 2024
format masterThesis
url https://hdl.handle.net/2117/419350
language eng
eu_rights_str_mv openAccess
publisher Universitat Politècnica de Catalunya
institution Universitat Politècnica de Catalunya (UPC)
collection UPCommons. Portal del coneixement obert de la UPC
reponame_str UPCommons. Portal del coneixement obert de la UPC
instname_str Universitat Politècnica de Catalunya (UPC)
_version_ 1878431682645721089
publishDateSort 2024
author_browse Kashyap, Amogh
publisherStr Universitat Politècnica de Catalunya
score 6,9303427

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