Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1784829404468215808 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9656320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT majdinasabnavid powermaximisationofwindenergyusingwindspeedsensorsonstewartisland AT kilbyjeff powermaximisationofwindenergyusingwindspeedsensorsonstewartisland AT bakhtiaryfardleila powermaximisationofwindenergyusingwindspeedsensorsonstewartisland |