Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific

Most wave energy converters (WECs) are designed to operate in high-latitude energetic seas, limiting their performance in regions usually dominated by milder conditions. The present study assesses the performance of complete test-stage WECs in farms that satisfy a decentralized energy scheme (DES) o...

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Autores principales:	Emiliano Gorr-Pozzi, Héctor García-Nava, Marco Larrañaga, Melissa G. Jaramillo-Torres, Manuel G. Verduzco-Zapata
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	numerical wave modeling marine renewable energy wave energy resource decentralized energy scheme Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/8959553b77074d2d84917d779ab0d4a0
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spelling	oai:doaj.org-article:8959553b77074d2d84917d779ab0d4a02021-11-25T18:04:52ZWave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific10.3390/jmse91112642077-1312https://doaj.org/article/8959553b77074d2d84917d779ab0d4a02021-11-01T00:00:00Zhttps://www.mdpi.com/2077-1312/9/11/1264https://doaj.org/toc/2077-1312Most wave energy converters (WECs) are designed to operate in high-latitude energetic seas, limiting their performance in regions usually dominated by milder conditions. The present study assesses the performance of complete test-stage WECs in farms that satisfy a decentralized energy scheme (DES) on the coast of Baja California, which is considered one of the most energetic regions along the Mexican Pacific. A high-resolution 11-year nearshore wave hindcast was performed and validated with Acoustic Doppler Current Profilers (ADCPs) data to characterize the wave energy resource in the study area. Two hotspots were identified from the wave power climatology. In these sites, the extractive capacities of seven well-known WEC technologies were determined based on their power matrices. Finally, the power extracted by small WEC farms, with the minimum number of devices required to satisfy a DES, was estimated. The studied region has moderate wave power availability with marked seasonality and low inter-annual variability. Out of all the evaluated devices, WaveDragon extracts the highest wave power; however, Pelamis has the best performance, with maximum monthly mean capacity factors up to 40%. Coupling WEC farms with storage modules or hybrid renewable systems are recommended to satisfy a continuous DES during the less energetic summer months.Emiliano Gorr-PozziHéctor García-NavaMarco LarrañagaMelissa G. Jaramillo-TorresManuel G. Verduzco-ZapataMDPI AGarticlenumerical wave modelingmarine renewable energywave energy resourcedecentralized energy schemeNaval architecture. Shipbuilding. Marine engineeringVM1-989OceanographyGC1-1581ENJournal of Marine Science and Engineering, Vol 9, Iss 1264, p 1264 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	numerical wave modeling marine renewable energy wave energy resource decentralized energy scheme Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
spellingShingle	numerical wave modeling marine renewable energy wave energy resource decentralized energy scheme Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Emiliano Gorr-Pozzi Héctor García-Nava Marco Larrañaga Melissa G. Jaramillo-Torres Manuel G. Verduzco-Zapata Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific
description	Most wave energy converters (WECs) are designed to operate in high-latitude energetic seas, limiting their performance in regions usually dominated by milder conditions. The present study assesses the performance of complete test-stage WECs in farms that satisfy a decentralized energy scheme (DES) on the coast of Baja California, which is considered one of the most energetic regions along the Mexican Pacific. A high-resolution 11-year nearshore wave hindcast was performed and validated with Acoustic Doppler Current Profilers (ADCPs) data to characterize the wave energy resource in the study area. Two hotspots were identified from the wave power climatology. In these sites, the extractive capacities of seven well-known WEC technologies were determined based on their power matrices. Finally, the power extracted by small WEC farms, with the minimum number of devices required to satisfy a DES, was estimated. The studied region has moderate wave power availability with marked seasonality and low inter-annual variability. Out of all the evaluated devices, WaveDragon extracts the highest wave power; however, Pelamis has the best performance, with maximum monthly mean capacity factors up to 40%. Coupling WEC farms with storage modules or hybrid renewable systems are recommended to satisfy a continuous DES during the less energetic summer months.
format	article
author	Emiliano Gorr-Pozzi Héctor García-Nava Marco Larrañaga Melissa G. Jaramillo-Torres Manuel G. Verduzco-Zapata
author_facet	Emiliano Gorr-Pozzi Héctor García-Nava Marco Larrañaga Melissa G. Jaramillo-Torres Manuel G. Verduzco-Zapata
author_sort	Emiliano Gorr-Pozzi
title	Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific
title_short	Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific
title_full	Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific
title_fullStr	Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific
title_full_unstemmed	Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific
title_sort	wave energy resource harnessing assessment in a subtropical coastal region of the pacific
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8959553b77074d2d84917d779ab0d4a0
work_keys_str_mv	AT emilianogorrpozzi waveenergyresourceharnessingassessmentinasubtropicalcoastalregionofthepacific AT hectorgarcianava waveenergyresourceharnessingassessmentinasubtropicalcoastalregionofthepacific AT marcolarranaga waveenergyresourceharnessingassessmentinasubtropicalcoastalregionofthepacific AT melissagjaramillotorres waveenergyresourceharnessingassessmentinasubtropicalcoastalregionofthepacific AT manuelgverduzcozapata waveenergyresourceharnessingassessmentinasubtropicalcoastalregionofthepacific
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Wave Energy Resource Harnessing Assessment in a Subtropical Coastal Region of the Pacific

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