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Power Maximisation of Wind Energy Using Wind Speed Sensors on Stewart Island

This paper evaluates the feasibility of using wind power for power supply to coastal communities isolated from the main supply grid. The case study is Stewart Island, where the cost of electricity provided by a central diesel power station is higher than the grid network in New Zealand. The Princeto...

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Detalles Bibliográficos
Autores principales: Majdi Nasab, Navid, Kilby, Jeff, Bakhtiaryfard, Leila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656320/
https://www.ncbi.nlm.nih.gov/pubmed/36366126
http://dx.doi.org/10.3390/s22218428
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author Majdi Nasab, Navid
Kilby, Jeff
Bakhtiaryfard, Leila
author_facet Majdi Nasab, Navid
Kilby, Jeff
Bakhtiaryfard, Leila
author_sort Majdi Nasab, Navid
collection PubMed
description This paper evaluates the feasibility of using wind power for power supply to coastal communities isolated from the main supply grid. The case study is Stewart Island, where the cost of electricity provided by a central diesel power station is higher than the grid network in New Zealand. The Princeton Ocean Model (POM) conducted by MetOcean Solutions Limited (MSL) is used to find Foveaux as an optimized site for generating wind power. Global Wind Atlas is used to plot the wind rose of current wind patterns in New Zealand. In the next step, wind speed data from each site are imported from the NASA database to WRPLOT view software and Homer Pro to find wind frequency distribution and output power in the area. The maximum annual power can be seen in WSW (32,299 kW hours/year), SW (20,111 kW hours/year) and W (15,622 kW hour/year) directions, respectively.
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spelling pubmed-96563202022-11-15 Power Maximisation of Wind Energy Using Wind Speed Sensors on Stewart Island Majdi Nasab, Navid Kilby, Jeff Bakhtiaryfard, Leila Sensors (Basel) Article This paper evaluates the feasibility of using wind power for power supply to coastal communities isolated from the main supply grid. The case study is Stewart Island, where the cost of electricity provided by a central diesel power station is higher than the grid network in New Zealand. The Princeton Ocean Model (POM) conducted by MetOcean Solutions Limited (MSL) is used to find Foveaux as an optimized site for generating wind power. Global Wind Atlas is used to plot the wind rose of current wind patterns in New Zealand. In the next step, wind speed data from each site are imported from the NASA database to WRPLOT view software and Homer Pro to find wind frequency distribution and output power in the area. The maximum annual power can be seen in WSW (32,299 kW hours/year), SW (20,111 kW hours/year) and W (15,622 kW hour/year) directions, respectively. MDPI 2022-11-02 /pmc/articles/PMC9656320/ /pubmed/36366126 http://dx.doi.org/10.3390/s22218428 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Majdi Nasab, Navid
Kilby, Jeff
Bakhtiaryfard, Leila
Power Maximisation of Wind Energy Using Wind Speed Sensors on Stewart Island
title Power Maximisation of Wind Energy Using Wind Speed Sensors on Stewart Island
title_full Power Maximisation of Wind Energy Using Wind Speed Sensors on Stewart Island
title_fullStr Power Maximisation of Wind Energy Using Wind Speed Sensors on Stewart Island
title_full_unstemmed Power Maximisation of Wind Energy Using Wind Speed Sensors on Stewart Island
title_short Power Maximisation of Wind Energy Using Wind Speed Sensors on Stewart Island
title_sort power maximisation of wind energy using wind speed sensors on stewart island
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656320/
https://www.ncbi.nlm.nih.gov/pubmed/36366126
http://dx.doi.org/10.3390/s22218428
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