Handbook of Wind Resource Assessment - Simon (Delft University of Technology) Watson - Bog

Useful reference text underpinning the theory behind wind resource assessment along with its practical application
Handbook of Wind Resource Assessment provides a comprehensive description of the background theory, methods, models, applications, and analysis of the discipline of wind resource assessment, covering topics such as climate variability, measurement, wind distributions, numerical modeling, statistical modeling, reanalysis datasets, applications in different environments (onshore and offshore), prediction accuracy, wind atlases, and future climate.
The text provides an up-to-date assessment of the tools available for wind resource assessment and their expected accuracy in different environments. It also summarizes our present understanding of the wind climate and its variability, with a particular focus on its relevance to wind resource assessment.
Written by a highly qualified professional in the fields of wind resource assessment, wind turbine condition monitoring, and wind turbine wake modeling, sample topics included in Handbook of Wind Resource Assessment are as follows:
* Climate variability, covering temporal scales of variation, power spectrum, short term variation and turbulence, the spectral gap, and long-term variation
* Measurement, covering history of wind speed measurement, types of measurement, terrestrial measurements, anemometers, wind vanes, and pressure, temperature, and humidity
* Distributions, covering synoptic scale wind distributions, turbulent scale distributions, contrast between mean and extreme values, and extreme value statistics
* Physical modeling, covering spatial scales of variability, the governing equations, models of varying complexity, mass consistent models, and linearized models
Handbook of Wind Resource Assessment serves as a comprehensive text that brings together the different aspects of wind resource assessment in one place. It is an essential resource for anyone who wishes to understand the underlying science, models, or applications of wind resources, including postgraduates, academics, and wind resource professionals.