Interaction between heterogeneous thermal stratification and wakes of wind turbine arrays. Issue 2 (28th November 2022)

• Record Type: Journal Article
• Authors: Nakao, Keisuke; Hattori, Yasuo
• Is Part Of: Wind energy. Volume 26:Issue 2(2023)
• Page Start: 163
• Page End: 181
• Publication Date: 2022-11-28
• Subjects: internal boundary layer -- large‐eddy simulation -- thermal heterogeneity -- weather research and forecasting model -- wind turbine wake; Wind power -- Periodicals; 621.312136
• DOI: 10.1002/we.2792
• Languages: English
• ISSNs: 1095-4244

Abstract

Abstract: The thermal heterogeneity between the land and sea might affect the wind patterns within wind farms (WF) located near seashores. This condition was modeled with a large‐eddy simulation of a numerical weather prediction model (Weather Research and Forecasting) that included the wind turbine actuator disk model (ADM). The assumed condition was that the downstream surface temperature was relatively higher (unstably stratified condition) than the neutrally stratified upstream wind. Under this condition, a thermal internal boundary layer (TIBL) was developed from an area where a step‐changed surface temperature was implemented. The combined effect of the wake deficit due to the WF and velocity recovery as a result of enhanced mixing under unstable stratification showed significant modulation of the wind speed at the hub height when local atmospheric stability affected the wind turbine (WT). We show that TIBL height depends on the variables to be evaluated as the threshold. A precise prediction of the TIBL height is beneficial for better estimation of power generation. A prediction model was proposed as an extension of the internal boundary layer (IBL) model for neutral stratification, and the results tracked TIBL development reasonably well. The effects of WFs on surface properties (e.g., friction velocity, heat flux, and Obukhov length) and the tendency of IBL growth were minor. A single WT wake was also assessed under several TIBL developmental stages (i.e., location) and thermal stratification conditions. The standard deviation of the wake deficit increased vertically during the development stage of the TIBL. In contrast, the coefficients in the horizontal and vertical directions were comparable when the WT was deep inside the TIBL.