[Webinar] Hybrids: A Path from Intermittency to Stability In this webinar, Wärtsilä and Reuniwatt will outline a framework for the implementation of future-proof hybrid power projects. Adding solar power to an existing energy supply system allows hybrid plant operators to mitigate the risks associated with energy prices and at least partially decarbonize their operations.Globally the energy transition is accelerating, driven by technology innovation and
[Webinar] French Overseas: A successful example for Solar & Storage in Islands Reuniwatt, Naldeo Technologies & Industries and the innovation cluster of Guadeloupe Synergîle are pleased to invite you to their joint webinar. This webinar will deal with photovoltaic power plants with storage and forecasting and discuss successful examples for energy transition on islands. Anne-Laure Frenet will lead the discussion and ask your
This year, the Territoire Paris Est Marne&Bois and the team of PCAET (Plan Climat Air Énergie Territorial) together with two partner incubators, GreenTech Innovation and IGNfab, are initiating the possibility for awarded start-ups to get involved with the Territoire services and interested cities to jointly develop innovative green projects. The collaboration also supports Reuniwatt's innovative PARCS mapping. As part of its mission to support innovation,
The EU-funded TRUST-PV R&D project finds itself within the EU's policy frame aiming to create a fully integrated European energy market while developing the next generation of renewable energy technologies and setting worldwide standards for their grid integration. Horizon 2020 Research and Innovation funding, which is supporting solutions in the areas of energy efficiency and intelligent solutions to stay in line with the European
[Webinar] EU innovation Project: TRUST-PV insights and three Perspectives Reuniwatt, EURAC research, BayWa r.e. Italy and Solar Power Europe are dedicated to help achieve a more grid-friendly integration of solar power in the EU and enable optimized grid stability and operations as a result of TRUST-PV, a 4-year research project with over 12 million grant value from the European Union's Horizon 2020 programme.
[Webinar Series] AI in Meteorology: Intelligent camera cloud operators for numerical weather prediction The project ICamCloudOps, funded by BMVI/mFUND, invites you to a webinar presenting the intermediate results of the project to the public. ICamCloudOps is a cooperation between DWD, the german weather service, and Reuniwatt, funded by mFUND, the "modernity fund" of the German Federal Ministry of Transport and Digital Infrastructure (BMVI).
Reuniwatt has developed an innovative technique for surveying solar installations from the sky: The PARCS project facilitates the integration of variable energies in the local electricity grid and was selected for the latest edition of the IGNfab, which will allow for a win-win exchange between the IGN and Reuniwatt.Our society has to respond to many challenges in the field of sustainability and mobility, and find
Conventional solar systems are generally designed and operated to produce maximum electricity at all times. But when solar energy is used on a large scale, it becomes necessary for it to contribute to the grid flexibility needed to maintain the supply-demand balance. The combination of photovoltaics with storage allows the control of the energy supplied to the grid, making solar power distributable on demand. What
In off-grid installations, solar energy can substitute up to 30 to 40% of annual fuel consumption. To achieve such penetration rates, the photovoltaic power plant is then combined with storage and forecasting systems using all-sky imagers, which play a key role in the energy management of the hybrid power plant. In remote rural areas, communities or industrial sites often do not have access to
[Webinar] Deep-learning approaches for weather-dependent businesses Our last webinar of 2020 will look into deep learning approaches for weather dependent businesses. After this webinar you'll have an understanding of: Why deep learning can enhance weather forecasts for solar energy in comparison to the use of physical models and image processing technology How deep learning works A use