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
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
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.
The aim of this article is to describe the particular field of climatology which analyzes air movement
characteristics regarding utilization of wind for energy generation. The article describes features of
wind energy potential available in Hungary compared to wind conditions in other areas of the
northern quarter sphere in order to as
on wind climate gives a solid basis for financial and economic decisions of stakeholders in the field of
wind energy utilization.