Forecast Model for Current, Wave and Wind Climate at the Danish Test Site for Wave Energy, DanWEC

Amélie Tetu, Jens Peter Kofoed, Flemming Schlütter, Poul Hammer

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

This paper presents the forecast model developed for theDanish test site for wave energy. It includes results from the projectResource Assessment, Forecasts and wave energy converters’ operationand maintenance (O&M) strategies at DanWEC and beyond which hasbeen initiated to deliver detailed information on the environmental conditionsat DanWEC and to review implementation of O&M procedures,which will ultimately improve wave energy converters’ operation and reducetheir costs. The forecast model is based on an hindcast wave modelwhich has been validated against data from wave measuring buoys and itprovides six days wave and current prognostic for the test site. The forecastmodel is coupled with an O&M tool that helps planning operationand reduce costs for users and operators of the test site.
Original languageEnglish
Title of host publicationProceedings for the International Conference on Time Series and Forecasting : Proceedings of Papers 19- 21 September 2018 Granada (Spain)
EditorsOlga Valenzuela, Fernando Rojas, Héctor Pomares, Ignacio Rojas
Volume2
PublisherGodle Impresiones Digitales S.L.
Publication date19 Sept 2018
Pages1328-1339
ISBN (Print)978-84-17293-57-4
Publication statusPublished - 19 Sept 2018
EventInternational conference on Time Series and Forecasting - Universidad de Granada, Granada, Spain
Duration: 19 Sept 201821 Sept 2018
Conference number: 2018
http://itise.ugr.es/index.php

Conference

ConferenceInternational conference on Time Series and Forecasting
Number2018
LocationUniversidad de Granada
Country/TerritorySpain
CityGranada
Period19/09/201821/09/2018
Internet address

Keywords

  • Wave energy
  • Wave climate
  • Resource assessment
  • Wave energy converters
  • Forecast model
  • Spectral wave model
  • Weather windows
  • Operations & Maintenance planning
  • Probability assessment
  • Forecasting service

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