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Journal ArticleDOI

Wave power potential assessment of Aegean Sea with an integrated 15-year data

TLDR
In this article, wave power atlas is generated for the Aegean Sea for years from 1999 to 2013 using a third-generation spectral wave model MIKE 21 SW, which was then interpolated to 10-min interval data.
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This article is published in Renewable Energy.The article was published on 2016-02-01. It has received 44 citations till now. The article focuses on the topics: Wave height & Wave power.

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Journal ArticleDOI

Net load variability in Nordic countries with a highly or fully renewable power system

TL;DR: Increasing the share of intermittent renewable energy (IRE) resources such as solar, wind, wave and tidal energy in a power system poses a challenge in terms of increased net load variability as discussed by the authors.
Journal ArticleDOI

Marine Renewable Energy in the Mediterranean Sea: Status and Perspectives

TL;DR: In this paper, an extended overview of the marine renewable energy in the Mediterranean Sea is provided as regards current status, potential problems, challenges, and perspectives of development An integrated and holistic approach is necessary for the economic viability and sustainability of MARE projects; this approach comprises three different frameworks, not always aligned, i.e., geotechnical/engineering, socio-economic, and environmental/ecological frameworks.
Journal ArticleDOI

Wave Energy Resource along the Coast of Santa Catarina (Brazil)

TL;DR: In this paper, the potential wave energy along the north-central coasts of Santa Catarina, in Southern Brazil, by analysis of the hindcast data from the European Centre for Medium-Range Weather Forecasts (ECMWF), was found to be equal to 15.25 kW/m, the bulk of which is provided by southeastern waves.
Journal ArticleDOI

Spatiotemporal variability of the Black Sea wave climate in the last 37 years

TL;DR: In this paper, the analysis of spatiotemporal variability of the Black Sea wave climate from 1979 to 2015 was performed based on mathematical modeling using the modern DHI MIKE 21 SW spectral wave model.
Journal ArticleDOI

Wave Energy Assessment and Performance Estimation of State of the Art Wave Energy Converters in Italian Hotspots

TL;DR: In this article, the authors presented an assessment of offshore wave energy potential at the scale of the whole Mediterranean Sea, by means of numerical modeling, toward four Italian coastal areas, namely stretches of coast of Tuscany, Liguria, Sardinia, and Sicily.
References
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Journal ArticleDOI

A third-generation wave model for coastal regions: 1. Model description and validation

TL;DR: In this article, a third-generation numerical wave model to compute random, short-crested waves in coastal regions with shallow water and ambient currents (Simulating Waves Nearshore (SWAN)) has been developed, implemented, and validated.
Book ChapterDOI

Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator

TL;DR: Triangle as discussed by the authors is a robust implementation of two-dimensional constrained Delaunay triangulation and Ruppert's Delaunayer refinement algorithm for quality mesh generation, and it is shown that the problem of triangulating a planar straight line graph (PSLG) without introducing new small angles is impossible for some PSLGs.
Journal ArticleDOI

The ECMWF Ensemble Prediction System: Methodology and validation

TL;DR: The European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System (EPS) is described in this article, where each ensemble comprises 32 10-day forecasts starting from initial conditions in which dynamically defined perturbations have been added to the operational analysis.
Journal ArticleDOI

Energy loss and set-up due to breaking of random waves

TL;DR: In this article, a model was developed for the prediction of the dissipation of energy in random waves breaking on a beach and the probability of occurrence of breaking waves was estimated on the basis of a wave height distribution with an upper cut-off which in shallow water is determined mainly by the local depth.
Book

Dynamics and Modelling of Ocean Waves

TL;DR: The Wave Modelling Group (WAM) model as mentioned in this paper is based on a detailed physical description of air/sea interactions and is widely used for wave forecasting for meteorological and oceanographic purposes.
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