Wind energy: measuring station and cloud based analysisMARINŠEK, ALEXANDER (Avtor) Tuma, Tadej (Mentor) Wind energywind turbinesmeasuring stationcloud platformdata analysisWind energy is one of the most abundant renewable energy sources mankind has tamed and wind turbine adoption on a global scale is in full swing. However, the same cannot be said for small scale projects, which are falling behind other renewable energy sources mainly due to scarce information and a lack of public awareness. To tackle this problem, an affordable measuring station based on open source hardware and software was designed. The measuring station relays environmental data to a remote cloud platform, using long- or short-range wireless communication. The cloud platform features a RESTful API and is used to store, automatically analyse, and present measurement data. Based on measurement data, periodic wind speed histograms are formed, which are later combined with a wind height extrapolation model to obtain wind speed values at wind turbine hub height. The extrapolated data is then applied to different turbine models to assess the prospects of a potential investment. An initial measuring station prototype has been running since September 2018, on which an example calculation of the annual wind energy trends and the potential income at the measuring location are based and presented.20192019-10-28 09:00:16Magistrsko delo/naloga112627VisID: 47341sl