The Renewable Energy Sources
The aim of the Renewable Energy Sources Use Case for HiDALGO2
Diagram presents control and data flow for Renewable Energy Sources use case
The overall aim of the RES use case is to provide more advanced models for wind energy (RES.WIND_ENERGY) and solar energy (RES.SOLAR_ENERGY) calculators based on RES. prediction. Also, it will exploit Exascale for RES models to study the impact of uncertainties in the model and limit those (thus minimising the demand for computational resources), and run and improve performance for larger domains (and finer meshes) to gain knowledge if more detailed simulation results in better predictions (cost vs. quality of results). Additionally, it will enhance the sun/shade model in RES.SOLAR.
Main Algorithms, Tools, and Data in the Renewable Energy Sources Use Case
The RES solution is based on two models – WRF and EULAG. The former is an open-source, community-based model developed by the National Center for Atmospheric Research (NCAR). While no improvements have been made directly to the model, a set of additional tools have been provided such as automatic boundary conditions generation, automatic model run, and input data conversion just to name a few (RES.TOOLS, part of RES.CORE). EULAG is an all-scale geophysical flow solver that supports a wide range of applications. In RES, it was tailored towards simulating flows over complex terrain topography or through building structures in urban environments. The model has been coupled with the aforementioned WRF, improved with the vertical wind profile for wind turbines, and extended with functionality for defining sources of pollutants.
The RES models use publicly available data, which are used as boundaries for input parameters. For the initial weather conditions, Global Forecast System external data is used, but other available and similar information may be utilised as well. The terrain topography data is delivered by the publicly available repositories: SRTM and EUDEM. The land cover is obtained from publicly available CORINE data. The building shape and height are delivered by interested cities, but publicly available data can be used, such as Geoportal (data for Polish cities) or OpenStreetMaps.
The contribution of RES to renewable energy sources industry
The outputs of the RES use case will assist wind and solar plant owners and operators to maximise the outcome of wind turbines or solar panels, stabilise the grid, and optimise income from trading energy.
Furthermore, the wind and solar plant planners and builders can find the best spots for their solar/wind plants. Last, the urban planners can spot the best location for a building to maximise (or minimise) the solar and wind effect.