On Dec 13-14, Reuniwatt's team will be present at Energaia 2023 in Montpellier, France. You can find our team on Booth F58 in Hall B2. Portfolio monitoring and forecasting SunSat Live is Reuniwatt's tool for real-time monitoring. It that can be quickly deployed anywhere on the planet. It allows for an unbiased and independent vision of the estimated irradiance over a portfolio of installations.
Meet us at the MTWE 2023 in Geneva, Switzerland, October 3-5 at booth 1012. Book your slot with our team, including experts Damien Ceus, PhD, and Laurent Sauvage, PhD. Whether you are an existing customer, or would like to get an overview of our portfolio or a tailored product recommendation - we are looking forward to seeing you there!
The images provided by Reuniwatt's sky imagers are an outstanding tool for cloud-related research. Forecasting the impact of condensation trails – so-called contrails – is one goal our sky imagers help to achieve. Different research projects aim to provide tools to monitor the climate impact of contrails and forecast contrail formation. Learn more about contrails observation using sky imagers and the R&D projects featuring
[Webinar] Weather data: a key element in assessing the actual performance of your solar farms Meteorological data, particularly solar irradiance, is a key element in ensuring the profitability of a solar power farm, from the development phase through to the operational phase. These data are derived both from ground measurements, collected using in-situ equipment, and from assessments based on satellite images. In both cases,
Trust-PV is a four-year, EU-funded project featuring 21 PV value chain partners who aim to improve the performance of solar projects. French business Reuniwatt has published the ‘Forecasting for advanced operational stability’ study to improve stability at the point of grid connection. Marion Lafuma, business development manager for Reuniwatt, looks at its key findings. Improving the accuracy of energy yield forecasts will help PV
In South Africa, Eskom's electricity supply capacity could be best increased by promoting the diversity of energy sources in the generation. The Eskom Just Energy Transition Project will repurpose the Komati coal power station area with renewable energy and batteries, and create opportunities for local communities. Shift in the South African energy sector The Eskom Just Energy Transition Project (EJETP) will finance the decommissioning
Building on the decades-long legacy of Meteosat’s first- and second-generation satellites, Meteosat Third Generation (MTG) will orbit the Earth at an altitude of 36,000 km with a stable view of Europe and Africa. It's launch offers multiple opportunities outside the space sector. MTG satellite system features and improvements EUMETSAT has provided society with more than three decades worth of satellite data, starting with the
Reuniwatt's CTO Nicolas Sébastien will represent Reuniwatt during the World Meteorological Organization's 7th International Conference on Energy & Meteorology, ICEM, which will take place in Padova, Italy, from 27-29 June. ICEM 2023 The purpose of ICEM 2023 is to provide a dedicated forum where scientists, engineers, economists, policy makers, social scientists, and other specialists and practitioners involved in research and implementation of weather and
Weather and environmental parameters are key factors affecting PV performance. Over the years, the accuracy of the yield prediction has increased. Still, the fundamental question remains when considering development of a new solar plant: how much energy will it generate? Many parameters are subject to tough discussions between a project’s different stakeholders. One of them is future performance, and the question regarding solar resource
Meet our team at The smarter E 2023 in Munich, Germany, at booth A3.540. As a leader in cloud cover observation and forecasting, Reuniwatt offers a clear overview of the amount of solar power production available in the next minutes, hours, days, and weeks. Based on solid R&D work, Reuniwatt has been improving traditional irradiance estimation methods by the application of deep learning techniques.
