Feni Solar-Wind Data

This dataset contains high-resolution solar and wind measurement data collected from the Feni region, Bangladesh, spanning from 2017 to 2019. Logged at a 1-minute interval, the dataset provides a comprehensive record of atmospheric and meteorological conditions, essential for renewable energy analysis, climatological studies, and resource assessment.The dataset includes wind data from multiple anemometers and wind vanes, along with solar radiation components such as Direct Normal Irradiance (DNI), Global Horizontal Irradiance (GHI), and Diffuse Horizontal Irradiance (DHI). Additionally, it records temperature, humidity, pressure, precipitation, and sun elevation parameters. Quality flags are included for each measured parameter to ensure data reliability.Key Features of the Dataset:Temporal Resolution: 1-minute data loggingWind Parameters: Wind speed (average & max) from multiple anemometers, wind direction from vanesSolar Parameters: DNI, GHI, DHI, and Global Tilted Irradiance (GTI)Environmental Parameters: Temperature (air & reference cells), relative humidity, pressure, precipitationQuality Control: Flags indicating data integrityPotential Applications:Wind and Solar Energy Assessment: Evaluation of hybrid renewable energy potentialMeteorological and Climate Studies: Analysis of atmospheric variations over timeGrid Integration & Forecasting: Data-driven insights for power grid stabilityThe dataset is provided as a comma-delimited CSV file (.csv), where each column represents a specific measurement tag. Users can access detailed data tag information within the file to interpret each parameter correctly. This dataset serves as a valuable resource for researchers, engineers, and policymakers focusing on Bangladesh’s renewable energy sector and atmospheric science.