Wind resource assessment considering the influence of humidity

Abstract

The current study presents a wind resource assessment (WRA) approach by combining existing approaches, including wind probability density estimation based on hourly wind speed frequency, wind power density (WPD) and wind energy density (WED), wind turbine (WT) power output and power curve modeling, and annual energy production (AEP). Wind probability density investigation employed various probability density functions (PDF), including parametric probability density functions such as Weibull, Normal, and Gamma, and non-parametric distribution, including Kernel Density Estimator (KDE). The present study also models the influence of humidity on air density for estimating WPD, WT power output, and AEP. The current study validated the proposed approach by conducting case studies for selected sites of remote Indonesian archipelago islands. AEP estimation proposed by this study can assist the site-turbine fitting design, especially for relatively moist locations.

Assessment of wind resource considering local turbulence based on data acquisition with SODAR

“…The available wind resource is influenced by several environmental factors such as humidity, terrain topography, turbulence, wind direction, and temperature, among others (Goffar Al Mubarok and Tian, 2022; Kim et al, 2021; Romanic et al, 2017). Turbulence has a significant influence on the energy production of a wind turbine (Choukulkar et al, 2016; Zegeye, 2021).…”