Wave and wind energy potential including extreme events: A case study of Mexico

Felix, Angélica; Mendoza, Edgar; Chávez, Valeria; Silva, Rodolfo; Rivillas-Ospina, Germán

doi:10.2112/si85-268.1

Cited by 6 publications

(8 citation statements)

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“…In autumn and spring, the mean wave power is 4 kW/m with maximum values of 5.5 kW/m. The least energetic season is the summer The findings reported here agree with those of Félix et al (Felix et al, 2018) and the global trend (Cornett, 2008;Gunn and Stock-Williams, 2012).…”

Section: Wave Power Spatial Distribution and Wave Climate Characteris...supporting

confidence: 92%

“…The maximum values for all percentiles are in the northwest of the GoM, at approximately the same position as the wave power mean maximums. The latter coincides with the results of Haces-Fernández et al (Haces-Fernandez et al, 2018) and Félix et al (Felix et al, 2018) who identified the west of the GoM as promising for the harnessing of wave energy for electricity. Nevertheless, with the exception of the 99th percentile, maximum values are found on the coast of Veracruz.…”

Section: Wave Power Spatial Distribution and Wave Climate Characteris...supporting

confidence: 90%

“…In water depths of over 40 m, Guillou and Chapalain (Guillou and Chapalain, 2020) found an annual mean power of less than 8 kW/m in the GoM, which coincides with that of Appendini et al (Appendini et al, 2015). Off the Mexican coast in the GoM, Félix et al (Felix et al, 2018) found that the multi annual wave energy potential excluding storms, is 18.0 MW, with 24.2 MW, including storms (Hs = 4 m). More specifically, Hernández-Fontes et al (Hernández-Fontes et al, 2019) stated that the wave power availability for a wave power threshold of over 5 kW/m is available 60-70% of the time off the states of Quintana Roo and Tamaulipas.…”

Section: Introductionmentioning

confidence: 70%

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Assessing wave energy converters in the gulf of Mexico using a multi-criteria approach

2022

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The wave power in the Gulf of Mexico was analyzed, using 42 years (1979–2020) of simulated data, with ERA-5 winds to force the WAVEWATCH III wave model. The model was successfully validated with three NDBC buoys, 42,055, 42,001 and 42,002. Comparison of significant wave heights obtained from the Jason-2, Cryosat-2, and Saral satellites showed good mean correlation coefficients and root mean squares. The spatial distribution of wave power was studied, as well as its seasonal variability. The region studied has moderate availability of wave power with marked seasonality. A multi-criteria MCA approach, including both sea state and wave energy converters (WECs), was then applied. Nine virtual sites were selected for the study and the AAHPA device gave best results in 7 virtual sites and the Wavestar device in the remaining two. The technology of these two devices, a system of oscillating buoys, is the most viable technology for the Gulf of Mexico.

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Section: Wave Power Spatial Distribution and Wave Climate Characteris...supporting

confidence: 92%

Section: Wave Power Spatial Distribution and Wave Climate Characteris...supporting

confidence: 90%

Section: Introductionmentioning

confidence: 70%

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Assessing wave energy converters in the gulf of Mexico using a multi-criteria approach

2022

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“…An average of the daily potential energy was obtained for each season. For this assessment, the definition of seasonality on the Mexican coast of Felix-Delgado et al [71], was used, which considers the months of winter (December-February), spring (March-May), summer (June-August) and autumn (September-November).…”

Section: Otec Comparative Assessmentmentioning

confidence: 99%

An Assessment of the Financial Feasibility of an OTEC Ecopark: A Case Study at Cozumel Island

Tobal-Cupul

Garduño-Ruiz²,

Gorr-Pozzi

et al. 2022

Sustainability

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The aim of this article is to show how an OTEC Ecopark could provide comprehensive, sustainable, and quality products that satisfy the diverse needs of coastal communities in Mexico. An offshore 60 MW hybrid Ocean Thermal Energy Conversion (OTEC) plant is proposed, which will provide products that will not only fulfill the water, energy, and food needs of the coastal communities, but also energize the local blue economy. An assessment of the financial feasibility of the plant as well as a comparative analysis against other forms of energy generation was carried out. The methodology section includes a market description, literature review for the technical design, methods for mitigating socio-environmental risks, and an analysis of operational risks. To determine financial feasibility, the CAPEX, OPEX and annual revenue, including the sale of CELs and carbon credits, were evaluated. The Internal Rate of Return suggests that the system would pay for itself in year 5 of the system’s 30-year life. The methodology used for this case study, with site-specific adaptations, can be applied to other coastal communities across the globe.

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“…Limitations are described by the absence of detailed time and spatial resolution. In Mexico, wave and wind records are only available from local, short-term studies, and the absence of systematic country-wide measurements leads engineers and researchers to rely on marine climate reanalysis and hindcasts (Felix et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data

Rivillas-Ospina

Casas²,

Maza-Chamorro

et al. 2022

Computers & Geosciences

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Wave and wind energy potential including extreme events: A case study of Mexico

Cited by 6 publications

References 0 publications

Assessing wave energy converters in the gulf of Mexico using a multi-criteria approach

Assessing wave energy converters in the gulf of Mexico using a multi-criteria approach

An Assessment of the Financial Feasibility of an OTEC Ecopark: A Case Study at Cozumel Island

APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data

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