Abstract

In this work, a mathematical computer simulation model is used to predict the possible energy generated from different Waves Energy Converters (WECs) in the Canary Islands. The Monte Carlo Method is the computer simulation model proposed to predict the generated energy. The Waves Energy Converter systems analyzed in the study were, the Aqua Buoy, Wave Dragon and Pelamis converters. The models were implemented and validated, with the dataset of Gran Canaria deep water buoy. This buoy belongs to a network of buoys belonging to Spain’s State Ports and they cover a dataset period of 22 years. The research has concluded that it is possible to affirm that the achieved model is a strong tool to compute the possible energy of any WECs, when the power matrix is known. The model based on the Monte Carlo simulation can be used in isolated islands of the Atlantic Ocean and can be extrapolated to other regions with the same characteristics.

Highlights

  • WECANet is a consortium of professionals from 30 European member countries and United Stated on America

  • The data set used covers a historical period of 22 years, from 1997 to 2019, when the Gran Canaria buoy was removed to harbor for maintenance

  • A retrospective of the wave energy industry shows an extensive variety of Waves Energy Converters (WECs) concepts in development in dissimilar countries around the world [64,65]

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Summary

Introduction

WECANet is a consortium of professionals from 30 European member countries and United Stated on America The aim of this project is to create a solid network platform focused on current challenges, identifying barriers and helping the development of wave energy research and industry. An important part in the progress and expansion of RE based on waves is the prediction of the behavior of any Wave Power Converters (WECs) based in their power matrix, especially in island regions with high wave potentials, external fuel dependency and isolated electricity systems. The computational simulation is really useful in ocean industry too, being used in different studies such as, marine and ships structures [50,51,52,53], breakwater analysis [54], offshore wind turbine [55], maintenance operations of Wave Energy Farm [56], etc. The validation the proposed model and conclusions of the whole research are given in the sections seven and eight, respectively

Data Sources
WECs Analyzed
Bivariate Weibull Distribution Fitting
Bivariate Weibull Coefficient Models
Random Values Generation
Power Conversion Computing
Validation
Findings
Conclusions
Full Text
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