Projections of wind energy resources in the Caribbean for the 21st century

Costoya, X.; deCastro, M.; Santos, F.; Sousa, Magda C.; Gómez‐Gesteira, M.

doi:10.1016/j.energy.2019.04.121

Cited by 54 publications

(39 citation statements)

References 40 publications

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“…Thus, when assessing the energy resource, focusing on the harvest through hybrid systems, various factors must be taken into consideration, both specific to each resource and common to both. The assessment applied in this study is based on different indices representing the resource richness, variability, risk, and cost of wind energy resource, previously used by Costoya et al [49,50], and applied in a similar way for the wave energy resource.…”

Section: Methodsmentioning

confidence: 99%

“…RCMs at a spatial resolution of 0.11 • were considered from 2026 to 2045. A multi-model ensemble approach was applied by using a consensus criterion [49,50] in order to reduce biases of each of the models that make up the multi-model. This consensus criterion determines the concordance of the multi-model ensemble wind speed difference (future minus past) with the different models, by imposing two conditions to evaluate the statistical significance of the pixels.…”

Section: Wind Datamentioning

confidence: 99%

“…For further information on the consensus criterion, the reader is referred to [49,50]. The accuracy of this ensemble of RCMs was previously analyzed in the area under scope [52,53].…”

Section: Wind Datamentioning

confidence: 99%

“…Eight indices were considered to assess the future wind energy resource in the northwest Iberian Peninsula coast, following the methodology applied by [38,49,50] to assess the richness of the wind resource, the variability, the environmental risk, and cost parameters. These indices are: Annual average wind speed (W ann ), rich level occurrence (RLO), downtime (DWNT), coefficient of variation index (C v ), monthly variability index (M v ), risk of extreme wind speeds (Risk), water depth (WD), and distance to coast (DC).…”

Section: Assessment Of Future Wind Energy Resourcementioning

confidence: 99%

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Assessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Context

et al. 2020

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Offshore renewable energy has a high potential for ensuring the successful implementation of the European decarbonization agenda planned for the near future. Hybrid wind-wave farms can reduce installation and maintenance costs, and increase the renewable energy availability of a location by compensating for the wind’s intermittent nature with good wave conditions. In addition, wave farms can provide protection to wind farms, and the combined wind/wave farm can provide coastal protection. This work aims to assess the future hybrid wind-wave energy resource for the northwest coast of Iberian Peninsula for the near future (2026–2045), under the RCP 8.5 greenhouse gas emission scenario. This assessment was accomplished by applying a Delphi classification method to define four categories, aiming to evaluate the richness (wind and wave energy availability, downtime), the variability (temporal variation), the environmental risk (extreme events), and cost parameters (water depth and distance to coast) of the wind and wave resources. The combined index (CI), which classifies the hybrid wind-wave resource, shows that most of the NW Iberian Peninsula presents good conditions (CI > 0.6) for exploiting energy from wind and wave resources simultaneously. Additionally, there are some particularly optimal areas (CI > 0.7), such as the region near Cape Roca, and the Galician coast.

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Section: Methodsmentioning

confidence: 99%

Section: Wind Datamentioning

confidence: 99%

“…For further information on the consensus criterion, the reader is referred to [49,50]. The accuracy of this ensemble of RCMs was previously analyzed in the area under scope [52,53].…”

Section: Wind Datamentioning

confidence: 99%

Section: Assessment Of Future Wind Energy Resourcementioning

confidence: 99%

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Assessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Context

et al. 2020

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“…At present, the UK has the largest amount of offshore wind capacity in Europe with 44% of all installations in MW, followed by Germany with 34%, Denmark (7%), Belgium (6.4%) and the Netherlands (6%) [3]. Finally, in recent years focus was given on the development of OWFs in deeper waters [4][5][6][7], where floating support structures are preferable. For example, useful methodologies have been developed for determining with accuracy all the relevant economic decision variables of floating OWFs [6], for proposing the best technological alternatives [5] and analyzing future wind resources in deeper waters [7].…”

Section: Introductionmentioning

confidence: 99%

Strategic Planning of Offshore Wind Farms in Greece

2020

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In the present article, a new methodological framework for the efficient and sustainable exploitation of offshore wind potential was developed. The proposed integrated strategic plan was implemented for the first time at national spatial planning scale in Greece. The methodological approach is performed through geographical information systems (GIS) and Microsoft Project Server Software and includes five distinct stages: (i) definition of vision/mission, (ii) identification of appropriate areas for offshore wind farms’ (OWFs) siting, (iii) determination of the OWFs’ layout, (iv) calculation of the OWFs’ (projects) total investment cost and, finally, (v) portfolio analysis. The final outcome of the proposed strategic planning is the prioritization of the proposed sixteen offshore wind projects based on their strategic value, as well as the estimation of the overall investment cost of the entire portfolio. High economic, socio-political and environmental benefits could be achieved through the implementation of only 60% of the total investment capital of the proposed strategic plan.

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Heat stress in the Caribbean: Climatology, drivers, and trends of human biometeorology indices

Napoli

Allen²,

Méndez‐Lázaro

et al. 2022

Intl Journal of Climatology

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Forty years (1980Forty years ( -2019 of reanalysis data were used to investigate climatology and trends of heat stress in the Caribbean region. Represented via the Universal Thermal Climate Index (UTCI), a multivariate thermophysiological-relevant parameter, the highest heat stress is found to be most frequent and geographically widespread during the rainy season (August, September, and October). UTCI trends indicate an increase of more than 0.2 CÁdecade −1 , with southern Florida and the Lesser Antilles witnessing the greatest upward rates (0.45 CÁdecade −1 ). Correlations with climate variables known to induce heat stress reveal that the increase in heat stress is driven by increases in air temperature and radiation, and decreases in wind speed. Conditions of heat danger, as depicted by the heat index (HI), have intensified since 1980 (+1.2 C) and are found to occur simultaneously to conditions of heat stress suggesting a synergy between heat illnesses and physiological responses to heat. This work also includes the analysis of the record-breaking 2020 heat season during which the UTCI and HI achieved above average values, indicating that local populations most likely experienced heat stress and danger higher than the ones they are used to. These findings confirm the gradual intensification of heat stress in the Caribbean and aim to provide a guidance for heat-related policies in the region.

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Projections of wind energy resources in the Caribbean for the 21st century

Cited by 54 publications

References 40 publications

Assessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Context

Assessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Context

Strategic Planning of Offshore Wind Farms in Greece

Heat stress in the Caribbean: Climatology, drivers, and trends of human biometeorology indices

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