Journal of Fundamentals of Renewable Energy and Applications
Open Access
ISSN: 2090-4541
+44 1300 500008
ISSN: 2090-4541
+44 1300 500008
Marika Tatishvili, Demur Demetrashvili, Inga Samkharadze and Irine Mkurnalidze
Georgian Technical University, Georgia
Posters & Accepted Abstracts: J Fundam Renewable Energy Appl
In Georgia due to complex orographic conditions and influence of the black Sea there exist most of Earths climatic types, from marine wet subtropical climate in west Georgia and steppe continental climate in east Georgia up to eternal snow and glaciers in high mountain zone of Great Caucasus and also approximately 40% of observed landscapes. The Georgian relief may be characterized by three sharply expressed orographic elements: Caucasus in north, in south - Georgian south upland and lowland or intermountain depression located between those two risings. This one begins from The Black Sea shore namely Kolkheti Lowland triangle and spreads up to eastern Georgia like a narrow strip. Between those two uplands small scaled orographic elements can be allocated. Such complicated relief has definite influence on air masses motion in atmosphere lower layers. Mainly west and eastern atmospheric processes prevailed over Georgian territory. Current geodynamics and orographic properties of Georgia play an important role in formation of weather various patterns. Such complex relief conditions the formation and evolution of various scaled circulation systems and heterogeneous spatial distribution of meteorological elements. This is verified by the fact, that such important parameter as wind annual distribution has diverse type with sharply expressed spatial inhomogeneities. The wind is one of most important meteorological element used both in science and energetic industry. However its origin and nature is not well understood yet. Wind direction and value in atmosphere surface layer is depending on local geographic conditions. The meteorological observation data, Earth Observing System Satellite data are used to conduct statistical analysis in order to identify wind parameters. For this reason mesoscale troposphere flows mathematical model for local area has been developed. GIS maps were constructed that show local areas for wind power application.