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Wave energy potential and 1-50 TWh scenarios for the Nordic synchronous grid
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
2017 (English)In: Renewable energy, ISSN 0960-1481, E-ISSN 1879-0682, Vol. 101C, 462-466 p., RENE8118Article in journal (Refereed) Published
Abstract [en]

This study estimates the wave energy potential along the coasts of the Nordic countries with the Nordicsynchronous grid as a chosen boundary. A model for wave farm allocation was developed and applied to achieve annual energy production targets of 1 TWh, 3 TWh, 10 TWh and 50 TWh. The study is based on 10 years of data, from 2005 to 2014, from the European Center for Medium-Range Weather Forecasts. Data from a total of 728 coordinate points along the Nordic countries, with a 0.125° x 0.125° spatial resolution, were considered. An algorithm was developed to generate the scenarios, to estimate the installed capacity of wave farms at different locations along the coasts, and to measure the physical space required by the farms. This analysis of the four energy target scenarios resulted in a required installed capacity of 337 MW, 1.02 GW, 3.42 GW and 17.09 GW, covering a stretch of the total coast of 0.4, 1.2, 3.8 and 18.9% respectively. The total annual wave energy resource for the Nordic countries is determined at 590 TWh, most of which is available along the Norwegian coast.

Place, publisher, year, edition, pages
2017. Vol. 101C, 462-466 p., RENE8118
Keyword [en]
wave energy; wave farm; installed power; scenarios; Nordic synchronous grid
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Science of Electricity
Identifiers
URN: urn:nbn:se:uu:diva-307177DOI: 10.1016/j.renene.2016.09.004OAI: oai:DiVA.org:uu-307177DiVA: diva2:1045618
Available from: 2016-11-10 Created: 2016-11-10 Last updated: 2016-11-11

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Publisher's full texthttp://dx.doi.org/10.1016/j.renene.2016.09.004

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