Offshore Wind and Wave Energy Assessment around Malè and Magoodhoo Island (Maldives)

Contestabile, Pasquale; Lauro, Enrico Di; Galli, Paolo; Corselli, Cesare; Vicinanza, Diego

doi:10.3390/su9040613

Cited by 44 publications

(38 citation statements)

References 87 publications

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“…However, Contestabile et al indicated that economic and environmental analyses, generally speaking, should refer to real produced energy and not to theoretically produced energy. This potential produced energy takes into account wave-to-wire efficiency or wind-to-wire efficiency [47]. Therefore, in this paper, we considered an average efficiency of the three WECs and an average efficiency of the wind generator and calculated the potential produced energy for wave energy (E wec_mean , unit: kWh/km/a) and wind energy (E turb_mean , unit: kWh/km 2 /a).…”

Section: ) Overall Condition Analysis For Wave and Wind Energymentioning

confidence: 99%

“…Therefore, in this paper, we considered an average efficiency of the three WECs and an average efficiency of the wind generator and calculated the potential produced energy for wave energy (E wec_mean , unit: kWh/km/a) and wind energy (E turb_mean , unit: kWh/km 2 /a). For a generic WEC, the overall averaged efficiency was 16.5%, and the maximum energy derived from a wind generator was only 59% of the available wind kinetic energy [47]. Based on 38 years of recent ERA-Interim data, the theoretically produced energy and the potential produced energy for wave and wind energy were calculated for the 3 key stations.…”

Section: ) Overall Condition Analysis For Wave and Wind Energymentioning

confidence: 99%

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Assessment of the Joint Development Potential of Wave and Wind Energy in the South China Sea

et al. 2018

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Abstract:The South China Sea is a major shipping hub between the West Pacific and Indian Oceans. In this region, the demand for energy is enormous, both for residents' daily lives and for economic development. Wave energy and wind energy are two major clean and low-cost ocean sources of renewable energy. The reasonable development and utilization of these energy sources can provide a stable energy supply for coastal cities and remote islands of China. Before wave energy and wind energy development, however, we must assess the potential of each of these sources. Based on high-resolution and high-accuracy wave field data and wind field data obtained by ERA-Interim reanalysis for the recent 38-year period from 1979-2016, the joint development potential of wave energy and wind energy was assessed in detail for offshore and nearshore areas in the South China Sea. Based on potential installed capacity, the results revealed three promising areas for the joint development of nearshore wave energy and wind energy, including the Taiwan Strait, Luzon Strait and the sea southeast of the Indo-China Peninsula. For these three dominant areas (key stations), the directionality of wave energy and wind energy propagation were good in various seasons; the dominant wave conditions and the dominant wind conditions were the same, which is advantageous for the joint development of wave and wind energy. Existing well-known wave energy converters (WECs) are not suitable for wave energy development in the areas of interest. Therefore, we must consider the distributions of wave conditions and develop more suitable WECs for these areas. The economic and environmental benefits of the joint development of wave and wind energy are high in these promising areas. The results described in this paper can provide references for the joint development of wave and wind energy in the South China Sea.

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Section: ) Overall Condition Analysis For Wave and Wind Energymentioning

confidence: 99%

Section: ) Overall Condition Analysis For Wave and Wind Energymentioning

confidence: 99%

Assessment of the Joint Development Potential of Wave and Wind Energy in the South China Sea

et al. 2018

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“…where m −1 stands for the minus-one spectral moments, m 0 stands for the zeroth spectral moments [28,29]. The input and output power of the hydraulic system can be calculated by Equations (3) and (4) respectively:…”

Section: Power Curvesmentioning

confidence: 99%

Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

2018

Energies

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Successful development of a marine wave energy converter (WEC) relies strongly on the development of the power generation device, which needs to be efficient and cost-effective. An innovative multi-input approach based on the Convolutional Neural Network (CNN) is investigated to predict the power generation of a WEC system using a double-buoy oscillating body device (OBD). The results from the experimental data show that the proposed multi-input CNN performs much better at predicting results compared with the conventional artificial network and regression models. Through the power generation analysis of this double-buoy OBD, it shows that the power output has a positive correlation with the wave height when it is higher than 0.2 m, which becomes even stronger if the wave height is higher than 0.6 m. Furthermore, the proposed approach associated with the CNN algorithm in this study can potentially detect the changes that could be due to presence of anomalies and therefore be used for condition monitoring and fault diagnosis of marine energy converters. The results are also able to facilitate controlling of the electricity balance among energy conversion, wave power produced and storage.

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“…The most widely deployed marine energy source worldwide is offshore wind energy, although Elliott et al designated the availability of wind energy to be moderate for large‐scale conversion in the Maldives. Contestabile et al performed a wind and wave energy assessment around two locations in the Maldives. The annual offshore wave power was found to range between 8.46 and 12.75 kW/m, while the 10‐ and 100‐m mean wind power density is respectively 0.08 and 0.16 kW/m 2 .…”

Section: Introductionmentioning

confidence: 99%

Assessment of extreme and metocean conditions in the Maldives for OTEC applications

et al. 2019

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Summary The Maldives is a group of tropical atolls, considered globally to be one of the most desirable holiday destinations. There is an urgent requirement to decrease their dependency on fossil fuels that are currently the main source of energy, and a number of renewable energy alternatives are being evaluated. Among these, due to the favorable oceanographic and bathymetric conditions, ocean thermal energy conversion (OTEC) systems represent a viable opportunity for clean and reliable power. However, the stresses the OTEC platform will need to endure during adverse environmental conditions are not well defined. The magnitude of these stresses will then have a direct influence on the design of the OTEC device. In order to overcome this uncertainty, this paper uses hindcast data sets from global weather and ocean models to assess the metocean conditions of the Maldives, with particular reference to extreme conditions. After selecting a suitable location for the deployment of the devices, return values calculated using the peaks‐over‐threshold (POT) methodology are estimated for wind, waves, and currents. The 100‐year return value for the significant wave height is found to be 4.5 m, with a joint occurrence of energy periods between 7.5 and 8.5 seconds, whereas the 100‐year return wind has a velocity of 17.8 m/s and the 100‐year return current of 1.9 m/s. The directionality of these extreme events is also considered, showing the southern and western sub‐quadrants as the prevailing sources, which provides essential information for positioning of the platform. Additional evaluations of tropical revolving storms (TRS) and variations in temperature and salinity patterns are also provided over a 1500‐m water column; temperature varies by approximately 24°C, and salinity by around 2 ppt, showing the suitability of OTEC platforms in the Maldives. This work is therefore of interest to offshore renewable energy stakeholders interested in developing a project in the Maldives or those conducting an analogous analysis in other locations.

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Offshore Wind and Wave Energy Assessment around Malè and Magoodhoo Island (Maldives)

Cited by 44 publications

References 87 publications

Assessment of the Joint Development Potential of Wave and Wind Energy in the South China Sea

Assessment of the Joint Development Potential of Wave and Wind Energy in the South China Sea

Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

Assessment of extreme and metocean conditions in the Maldives for OTEC applications

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