Author/Authors :
Lun، نويسنده , , Yu Fat and Mochida، نويسنده , , Akashi and Yoshino، نويسنده , , Hiroshi and Murakami، نويسنده , , Shuzo، نويسنده ,
Abstract :
Accurate prediction of the wind energy distribution over terrains is essential for the appropriate selection of a suitable site for a wind power plant. This paper presents two-dimensional numerical simulations of flow over three common types of topographic features, i.e., a hill and two types of slopes (up-slope and down-slope). In a previous investigation by the present authors [Lun, Y.F., Mochida, A., Murakami, S., Yoshino, H., Shirasawa, T., 2003. Numerical simulation of flow over topographic features by revised k–ε models. J. Wind Eng. Ind. Aerodyn. 91(1–2), 231–245], the revised k–ε model proposed by P.A. Durbin [1996. Technical note: on the k–ε stagnation point anomaly. Int. J. Heat Fluid Flow 17, 89–90] was applied to flow prediction over a hill. Although, this model works well for flow around bluff bodies, a limitation was revealed in the area downstream of the hill. In this study, two new revised k–ε models proposed by Y. Nagano, H. Hattori and T. Irikado [2001. Prediction of flow over a complex terrain using turbulence model. In: Proceedings of the TED-Conference’01, JSME, in Japanese] and by Y. Nagano and H. Hattori [2003. A new low-Reynolds-number turbulence model with hybrid time-scales of mean flow and turbulence for complex wall flows. In: Proceedings of the Fourth International Symposium on Turbulence, Heat and Mass Transfer, Antalya, Turkey, October 12–17, 2003], i.e., the Ω and S–Ω models, were employed. These models are based on a mixed-time-scale concept. Their performance in predicting flow over various topographic features, namely a hill, up-slope and down-slope, was investigated. The problem of the Durbin model was corrected by the Ω model. However, a drawback of the Ω model was found in the upstream region. A new model, the S–Ω model, was introduced and was found to correct this problem. The S–Ω model showed best agreement with experiments for the hill case and the slope cases.
Keywords :
Down-slope , Up-slope , S–? model , Durbin model , Hill , Revised k–?