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  • Connection between the potential wind energy and the windy days

    Preliminary wind climate information are required for the selection of the sites of energetic wind
    measurements. Optimal locations of wind energy projects, where the amount of utilizable wind
    energy can be forecasted with a good approach, can be determined using GIS and statistical methods.
    Anyhow, it is necessary to elaborate methods what make posible to gain data for the wind potential of
    a given location on the base of measured data. Monthly number of windy days can be such predictor
    if its basic statistical parameters and its connection to the monthly mean wind power can be
    determined. This latter one can be substituted by the area under the curve of the function fitted to the
    hourly averages of the cubes of the wind speeds. A regression modell is fitted to the monthly number
    of windy days and areas under the curve, on the base of time series of 7 Hungarian weather stations
    and the error of the modell is determined. On this base, the modell is extrapolated to a 35 years long
    period. The area under the curve proportional to the monthly mean wind power calculated on the base
    of the monthly number of windy days show a significant decreasing trend in 4 Hungarian weather

  • Investigation of the wind power potential of the Hernád valley

    The University of Debrecen, Department of Meteorology has carried out research into the climatic and social-economic conditions of the Hernád valley in the scope of a scientific project (OTKA K 75794) between 2009 and 2012. The aim is to find out the optimal area for wind and solar energy, as well as biomass utilization. Our purpose is to work out a model wherein the complex evaluation of natural and social-economic conditions and effects can eventually result in a sustainable and conflictfree land use. The results of the research will be useful in working out a regional improvement based on the use of renewable energy sources to help the local decision-making process.