In this thesis, the creation of a Python based interactive map of the world’s wave energy resources is explained and presented. The application will be used by Wello Oy to generate values needed in wave energy production in various locations across the world, and to calculate the theoretical power of Wello’s Penguin wave energy converter. The application is planned to be used as an easy-to-use tool to quickly and effectively measure the power output of the Penguin wave energy converter at any given site in the world. The application allows tailored results that are calculated by using values obtained from each potential wave energy site. The results show the end user the wave energy at the site, and the optimal dimensions of the wave energy converter for maximal power production and maximal return of investment. The fundamentals of wave energy and wave energy converters are discussed, as well as the methodology for calculating the theoretical power output of waves and calculating the levelized cost of energy at each of these sites. All this is done in hope of making the process of finding potential wave energy projects more efficient and effective, and thus providing a clean, renewable and continuous energy source to the world.
free text keywords: wello, wave, energy, power, ocean, converter, database, fi=Energia- ja ympäristötekniikka|sv=Energi- och miljöteknik|en=Energy and Enviromental Engineering|, Degree Programme in Environmental engineering