Assessment of wave power stability and classification with two global datasets

Lavidas, George; Kamranzad, Bahareh

doi:10.1080/14786451.2020.1821027

Cited by 11 publications

(8 citation statements)

References 28 publications

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“…In this context, the global assessment of the wave power has been the topic of several studies based on the sea state conditions provided either by numerical models [14][15][16][17][18] or satellite measurements [19]. Such a global assessment of the wave power can indicate regional areas with high potential, but they may not provide an exact local picture of where the places with energy concentrations, the so-called "hot spots", are encountered [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements

Rusu

2021

Energies

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There is an increasing necessity in reducing CO2 emissions and implementing clean energy technologies, and over the years the marine environment has shown a huge potential in terms of renewable energy. From this perspective, extracting marine renewable energy represents one of the most important technological challenges of the 21st century. In this context, the objective of the present work is to provide a new and comprehensive understanding concerning the global wave energy resources based on the most recent results coming from two different databases, ERA5 and the European Space Agency Climate Change Initiative for Sea State. In this study, an analysis was first made based only on the ERA5 data and concerns the 30-year period of 1989–2018. The mean wave power, defined as the energy flux per unit of wave-crest length, was evaluated at this step. Besides the spatial distribution of this parameter, its seasonal, inter, and mean annual variability was also assessed on a global scale. As a second step, the mean wave energy density per unit horizontal area was analyzed for a 27-year period (1992–2018) with both ERA5 and the satellite data from the European Space Agency being considered. The comparison indicates a relatively good concordance between the results provided by the two databases in terms of mean wave energy density, although the satellite data indicate slightly higher energy values.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements

Rusu

2021

Energies

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“…To further analyze the possible impact of the projected changes in the wave climate on wave energy exploitability, some of the indexes traditionally used in the literature to identify the most suitable locations for WECs installation (e.g., [38][39][40][41]) have been considered in the present work. The variability in time of the available wave energy is one of the pivotal factors for the selection of exploitable sea sites, in terms of higher average values and higher time stability of the wave energy resource.…”

Section: Wave Energy Exploitability Indexesmentioning

confidence: 99%

“…The Wave Energy Development Index (WEDI) [38,40], expressing the ratio of the mean annual wave power P wave to the maximum annual power P max wave , is also analyzed. The WEDI is considered an index of the severity of the installation area: lower values of WEDI denote areas in which a WEC has to withstand a high level of wave power during the most energetic storms relative to the average operating conditions for wave energy extraction.…”

Section: Wave Energy Exploitability Indexesmentioning

confidence: 99%

Projected Trends in Wave Energy Potentials along the European Coasts and Implications for Wave Energy Exploitation (1976–2100)

Simonetti,

Cappietti

2024

JMSE

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In the context of the efforts toward the technological development of wave energy converters, reliable estimations of the annual energy production that can be attained with a given device are fundamental for a sound evaluation of the related levelized cost of energy, which is crucial in the investment decision-making process. The lack of reliability in estimates of devices productivity can, in turn, be exacerbated by uncertainty in the available wave energy resource. The Climate Data Store of the Copernicus Climate Change Service delivers hindcast data and projections of the wave climate along the 20 m bathymetric contours of the whole European coastline, covering the periods 1976–2017 and 2040–2100. This work addresses the presence of long-term trends in wave power and the effect of these trends on wave energy exploitability and on the energy production of different wave energy converters to be installed along the Mediterranean, North African, and European Atlantic coastlines. The results show that the monthly variation in the wave energy resource will generally increase for most of the considered areas, up to double the current values in some locations. Wave energy converters will have to face more severe wave conditions, with relevant implications in terms of survivability. At the same time, the future annual energy production of the analyzed devices is expected to increase in many areas in the Mediterranean Basin (particularly in the nearest future scenario), as well as in the Baltic Sea and along the coasts of the UK and France and the north coasts of Spain.

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“…For the return period of operational condition, 10 years is selected as a minimum return period considering the rate of change [14] and for extreme value 50 years is considered based on standards recommendations e.g. [6].…”

Section: Introductionmentioning

confidence: 99%

Environmental Extreme Conditions for a Wave Energy Converter: An Integrated Wave-Structure Approach

Saeidtehrani

Lavidas

Metrikine

2022

Volume 8: Ocean Renewable Energy

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The process of finding values of extreme waves and their impacts on wave energy converter (WEC) responses, depends on both wave resources and WEC dynamic characteristics. A wide range of waves can influence the reliability of operation and survivability of a WEC. In this paper, a methodology is described to find specific values of wave heights and periods that can be critical for a flap-type WEC, through the use of an integrated wave-structure approach. The goodness of the fit is studied and the corresponding return periods for ranges that a selected WEC is mostly operating are evaluated. Further discussions for engineering applications and making a clear understanding of the extreme and operational conditions of the WEC are also provided. The critical wave characteristics are defined based on power production and the significant change in the nonlinear dynamic behavior of the device in various ranges. The WEC behavior is represented by an experimentally validated numerical tool considering the nonlinear behaviour of a flap as single and in an array. The study aims to provide insights in the expected behavior and loading on the WEC, affecting its reliability, considering potential catastrophic wave return values that correspond to their power production phase. The finding can be used for determining both efficient operations and limiting environmental conditions or weather windows.

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Assessment of wave power stability and classification with two global datasets

Cited by 11 publications

References 28 publications

Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements

Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements

Projected Trends in Wave Energy Potentials along the European Coasts and Implications for Wave Energy Exploitation (1976–2100)

Environmental Extreme Conditions for a Wave Energy Converter: An Integrated Wave-Structure Approach

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