“PV very Short-Term Power Forecasting Method based on Cloud Monitoring Data” - R&D NESTER IN WCPEC-8
The World Conference on Photovoltaic Energy Conversion (WCPEC-8) is the world's biggest platform for PV research and development, offering a unique possibility of international exchange by combining the three largest and most prominent international PV conferences: the European Photovoltaic Solar Energy Conference (39th EU PVSEC), the Photovoltaic Specialists Conference (IEEE PVSC-50) and the International PV Science and Engineering Conference (PVSEC-32).
This scientific conference programme was coordinated by the European Commission Joint Research Centre and covers the entire range of PV research, technologies and applications focusing on bringing the latest scientific and technological research trends to the market.
It also offered a
variety of broader insights into the current developments in the sector,
acknowledging that PV integration needs to be approached from all dimensions -
scientific, technical, economic, political, business, and also social- and
educational aspects.
The
Programme was structured in plenary, oral and visual presentations and is
divided into 5 topics. These cover the entire range of PV research,
technologies and applications with a special emphasis on the latest scientific,
technological and market-related trends:
WCPEC hosted a variety of Parallel Events and Industry Sessions which are designed to give a holistic overview on international PV developments from all dimensions.
R&D Nester was represented in this conference in its 4th day, at "Flexiblity Options for the Future Energy System" panel, with a Chairperson.
R&D Nester is co-author in a presented poster in the Visual Presentations Section in "Solar Resource and Forecasting" panel. The presented document is entitled "PV very Short-Term Power Forecasting Method based on Cloud Monitoring Data". This poster was produced in the scope of UltraFOR project, where R&D Nester collaborate together with REN and CEPRI.
The main goals of this UltraFOR project are:
Investigate cloud recognition methods based on all sky imager data. Research about cloud height calculation based on two all sky imagers.
Study different types of clouds and their effect on the radiation in the PV modules. Develop a cloud index including the above-mentioned methods.
Apply the clearance persistence model to the solar forecast to optimize results.
Elaborate a case study including all developments made in the project.
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