Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/84103
Type of publication: Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)
Field of Science: Aplinkos inžinerija / Environmental engineering (T004)
Author(s): Kasiulis, Egidijus
Title: Statistical analysis of the baltic sea wave height data for evaluating energy potential
Is part of: CYSENI 2011 [elektroninis išteklius] : the 8th International Conference of Young Scientists on Energy Issues, May 26-27, 2011, Kaunas, Lithuania : conference proceedings / Lithuanian Energy Institute, Young Scientists Association of LEI. Kaunas : LEI, 2011
Extent: p. 406-414
Date: 2011
Keywords: Wave energy;Data reliability;Wave height;Wind speed
Abstract: After the success of hydro, wind and solar energetics searching for the new renewable energy sources began and so oceans and seas have been rediscovered. In our country’s conditions, in the Baltic Sea, where periodic tides are inexistent and underwater currents are not powerful, the most important energy can be concentrated into waves. It is already clear that waves carry large amounts of energy and many countries are making efforts to evaluate these resources and to use them to produce electricity. The objective of this article is to assess whether the available data of the Baltic Sea monitoring are sufficient enough for the calculations of wave energy resources by using statistical analysis. Wave height and wind speed are the most important data in monitoring that is required for evaluation of these resources. Still, this investigation also requires a long record, reaching 30 years and more in length. Though wave height observations are usually short term, Klaip da and Nida gauging stations have long term records of wind speed. First wave height observation data reliability was evaluated in the classical analysis in order to find coherence between hydrological characteristic (wave height) and meteorological characteristic (wind speed). The correlation between wind speed and wave height was verified with the statistical program. Clear correlations between Klaip da and Nida gauging stations data can be easily used for the extension of wave height time series. When reliability of the data is verified, analogical regression analysis can be used for other gauging stations with short record of wave height data. Thus in this manner all wave height time series data can be prepared for the evaluation of sea wave energy potential
Internet: https://hdl.handle.net/20.500.12259/84103
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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