Solar resources and forecasts for integration of solar energy from PV Parks
SOLREV examines and evaluates models for the provision of data and forecasts about solar radiation with a focus on PV electricity. Such models control the feeding of solar energy into the power grid and thus ensure the long-term yield security of solar power plants. Estimating the yields of large solar power plants with high investment costs requires long-term solar radiation data. These are the basis for reliable income models that reduce the entrepreneurial risk and strengthen the investor's willingness to provide capital.
The amount of available solar energy depends heavily on the weather conditions and time of day as well as the location of the respective power plants. The demand for clean, regenerative energy such as solar power is increasing nationally and globally - the energy supply must be permanently secured. In order to sustainably supply a power grid with high proportions of solar energy, more than technical advancement is necessary: Researchers are increasingly concerned with the question of how solar energy can be most effectively integrated into the existing system. In order for the energy transition to succeed, solar power must be fed into the power grids and the corresponding energy markets in a stable manner, even with alternating generation. The necessary basis for a reliable power supply is therefore a reliable characterization and prediction of the availability of solar resources.
Solar power forecasts form the basis for the use of energy management options (such as balancing energy supply and storage) as well as for optimized electricity trading processes. They are therefore essential for an economically and ecologically effective integration of solar energy into the power grid. Furthermore, reliable, long-term solar radiation data are necessary in order for large Solar power plants with high investment costs to have reduced entrepreneurial risk and to strengthen willingness to invest. As a result, the research landscape in the field of “Solar Resources and Forecasts” is developing rapidly. The new findings and developments from relevant studies must be evaluated transparently. Because in order to use the data sets effectively and to develop targeted models for solar radiation, binding guidelines and standards must be established.
SOLREV addresses this need. The overall aim of the project is to examine, evaluate and optimize models and data on the current and future amount of solar products. Based on the scientific analyzes, guidelines and recommendations (“best practices”) as well as new standards are developed.
The SOLREV project enables participation in the international cooperation on the topic of “Solar Resources and Predictions” in the IEA Photovoltaic Power Systems Program Task 16 “Solar resource for high penetration and large scale applications”, a program with around 50 partners from 17 countries that aims to support the worldwide conversion of power supply to renewable energies and, above all, to establish PV electricity as a basis. Scientists from Germany take on two subtasks, one of which the DLR manages.