The definition of the vertical wind profile is a crucial point for wind loads and wind resource assessment. However, nowadays efficient methods for the measurement and probabilistic modeling of the vertical wind profiles are not fully available. Recent developments of remote sensing technologies such as Wind Lidars allow for the measurement of the vertical wind profile without the need of installing met masts. The present paper focuses on the assessment of vertical wind profiles on flat terrains employing Wind Lidars. These are described through the power law, characterized by the Hellmann coefficient, and through the modified logarithmic profile, characterized by the aerodynamic roughness coefficient and a stability correction parameter depending on the Monin-Obukhov length. Results for the area of Lamezia Terme are presented, pointing out some the issues related to complex terrains and breeze regimes.

Demartino, C., Avossa, A.M., Ricciardelli, F., Calidonna, C.R. (2017). Wind profiles identification using wind lidars: An application to the area of Lamezia Terme. In 7th European and African Conference on Wind Engineering, EACWE 2017. International Association for Wind Engineering (IAWE).

Wind profiles identification using wind lidars: An application to the area of Lamezia Terme

Demartino C.;
2017-01-01

Abstract

The definition of the vertical wind profile is a crucial point for wind loads and wind resource assessment. However, nowadays efficient methods for the measurement and probabilistic modeling of the vertical wind profiles are not fully available. Recent developments of remote sensing technologies such as Wind Lidars allow for the measurement of the vertical wind profile without the need of installing met masts. The present paper focuses on the assessment of vertical wind profiles on flat terrains employing Wind Lidars. These are described through the power law, characterized by the Hellmann coefficient, and through the modified logarithmic profile, characterized by the aerodynamic roughness coefficient and a stability correction parameter depending on the Monin-Obukhov length. Results for the area of Lamezia Terme are presented, pointing out some the issues related to complex terrains and breeze regimes.
2017
Demartino, C., Avossa, A.M., Ricciardelli, F., Calidonna, C.R. (2017). Wind profiles identification using wind lidars: An application to the area of Lamezia Terme. In 7th European and African Conference on Wind Engineering, EACWE 2017. International Association for Wind Engineering (IAWE).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/438943
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