Renewable energy has become new sources of electrical power. By their very nature, wind, solar, hydro, tidal, wave and other renewable forms of generation are dependent on weather and climate. Modelling and measurement for resource assessment, site selection, long-term and short term variability analysis and operational forecasting for horizons ranging from minutes to decades are of paramount importance.
The success of wind power means that wind turbines are increasingly put in sites with complex terrain, forests, or coastal and offshore regions that are difficult to model and measure. Major challenges for solar power are notably accurate measurements and the short-term prediction of the spatiotemporal evolution of the effects of cloud field and aerosols. Planning and meteorology challenges in Smart Cities are common for both. For both solar and wind power, the integration of large amounts of renewable energy into the grid is another critical research problem due to the uncertainties linked to their forecast and to patterns of their spatio-temporal variabilities.
We invite contributions on all aspects of weather dependent renewable power generation, including, but not limited to:
• Wind conditions (both resources, siting conditions and loads) on short and long time scales for wind power development, in different environments (e.g. mountains, forests, coastal, offshore or urban).
• Offshore wind development: interaction between atmosphere, sea and wind turbine/wind farms, for both bottom-fixed and floating wind, and its impact on marine environment
• Long term analysis of inter-annual variability of solar and wind resource
• Typical Meteorological Year and probability of exceedance for wind and solar power development
• Wind and solar resource and atlases
• Wake effect models and measurements, especially for large wind farms and offshore
• Performance and uncertainties of forecasts of renewable power at different time horizons and in different external conditions.
• Forecast of extreme wind events and wind ramps
• Local, regional and global impacts of renewable energy power plants or of large-scale integration.
• Dedicated wind measurement techniques (SODARS, LIDARS, UAVs, Satellite etc.)
• Dedicated solar measurement techniques from ground-based and space-borne remote sensing
• Tools for urban area renewable energy supply strategic planning and control
• AI and Machine Learning approaches for weather forecasting and its applications
The success of wind power means that wind turbines are increasingly put in sites with complex terrain, forests, or coastal and offshore regions that are difficult to model and measure. Major challenges for solar power are notably accurate measurements and the short-term prediction of the spatiotemporal evolution of the effects of cloud field and aerosols. Planning and meteorology challenges in Smart Cities are common for both. For both solar and wind power, the integration of large amounts of renewable energy into the grid is another critical research problem due to the uncertainties linked to their forecast and to patterns of their spatio-temporal variabilities.
We invite contributions on all aspects of weather dependent renewable power generation, including, but not limited to:
• Wind conditions (both resources, siting conditions and loads) on short and long time scales for wind power development, in different environments (e.g. mountains, forests, coastal, offshore or urban).
• Offshore wind development: interaction between atmosphere, sea and wind turbine/wind farms, for both bottom-fixed and floating wind, and its impact on marine environment
• Long term analysis of inter-annual variability of solar and wind resource
• Typical Meteorological Year and probability of exceedance for wind and solar power development
• Wind and solar resource and atlases
• Wake effect models and measurements, especially for large wind farms and offshore
• Performance and uncertainties of forecasts of renewable power at different time horizons and in different external conditions.
• Forecast of extreme wind events and wind ramps
• Local, regional and global impacts of renewable energy power plants or of large-scale integration.
• Dedicated wind measurement techniques (SODARS, LIDARS, UAVs, Satellite etc.)
• Dedicated solar measurement techniques from ground-based and space-borne remote sensing
• Tools for urban area renewable energy supply strategic planning and control
• AI and Machine Learning approaches for weather forecasting and its applications