Wind power stations performance analysis and power output prognosis

• Published in: Engineering for Rural Development. Proceedings of the Inernational Scientific Conference (Latvia) no. 7; pp. 92 - 96
• Main Authors: Lepa, J., Estonian Univ. of Life Sciences, Tartu (Estonia). Inst. of Technology. Dept. of Energy Engineering, Kokin, E., Estonian Univ. of Life Sciences, Tartu (Estonia). Inst. of Technology. Dept. of Energy Engineering, Annuk, A., Estonian Univ. of Life Sciences, Tartu (Estonia). Inst. of Technology. Dept. of Energy Engineering, Poder, V., Estonian Univ. of Life Sciences, Tartu (Estonia). Inst. of Technology. Dept. of Energy Engineering, Juerjenson, K., Estonian Univ. of Life Sciences, Tartu (Estonia). Inst. of Technology. Dept. of Energy Engineering
• Format: Journal Article
• Language: English
• Published: Jelgava (Latvia) LLU 2008
• Subjects: CARACTERISTICAS DEL SITIO; EFFICACITE; EFFICIENCY; EFICACIA; ELECTRICAL ENERGY; ENERGIA ELECTRICA; ENERGIA EOLICA; ENERGIE ELECTRIQUE; ENERGIE EOLIENNE; ENERGY GENERATION; ESTONIA; ESTONIE; FACTEUR LIE AU SITE; GENERACION DE ENERGIA; http://www.fao.org/aos/agrovoc#c_10672; http://www.fao.org/aos/agrovoc#c_12103; http://www.fao.org/aos/agrovoc#c_24098; http://www.fao.org/aos/agrovoc#c_24836; http://www.fao.org/aos/agrovoc#c_2491; http://www.fao.org/aos/agrovoc#c_28005; http://www.fao.org/aos/agrovoc#c_6513; http://www.fao.org/aos/agrovoc#c_7087; http://www.fao.org/aos/agrovoc#c_8117; http://www.fao.org/aos/agrovoc#c_8394; http://www.fao.org/aos/agrovoc#c_8401; INVESTIGACION; LATVIA; LETONIA; LETTONIE; PRODUCTION ENERGETIQUE; RECHERCHE; SITE FACTORS; USES; USOS; UTILISATION; VELOCIDAD; VELOCITY; VENT; VIENTO; VITESSE; WIND POWER; WINDS
• ISSN: 1691-3043

Historically the first wind power devices were used directly for some specific task e.g. grain grinding, flour milling, water pumping and similar. Nowadays, the wind power mills are mainly used to produce the most effective energy type – electric energy that is easy to transfer to other necessary energy types with comparatively good efficiency coefficient. Substantial problems in this case originate from the stochastic nature of the wind energy that is hard to forecast. The longer period weather observations show that there are however some similarities in different years' winds at the same months. The definite correlation exists between the air pressure variation speed and wind strength though the prediction of the air pressure variation speed is also complicated. Contrary, the wind speed variation range can be determined with adequate accuracy and usually also the wind speed distribution in given observation point. That makes possible the prediction of energy production in given place during some period. For that it is necessary though to know the power curve of the wind turbine used.