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CLIMFOR

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Accurate Seasonal Forecasts for Boosting Renewable Energy Generation and Improvi...

Accurate Seasonal Forecasts for Boosting Renewable Energy Generation and Improving Current Disaster Risk Management 6,873 natural disasters happened worldwide in the period 1994-2013 (e.g. floods, drought, and other extreme weather phenomena) killing 68,000 people and affecting 218 million more annually. The early implementation of Disaster Ris... ver más

30/11/2019

geopredict

71K€

Presupuesto del proyecto: 71K€

Líder del proyecto

GEOPREDICT GMBH No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-11-30

EIC-SMEInst-2018-2020: SME instrument

I+D

Cerrada hace 7 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

geopredict

50.00K€ | Lider

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Duración del proyecto: 4 meses Fecha Inicio: 2019-07-05
Fecha Fin: 2019-11-30

Líder del proyecto

GEOPREDICT GMBH No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 71K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 6,873 natural disasters happened worldwide in the period 1994-2013 (e.g. floods, drought, and other extreme weather phenomena) killing 68,000 people and affecting 218 million more annually. The early implementation of Disaster Risk Reduction strategies strongly depends on the availability of reliable seasonal forecasts. But global, long-term climate forecasting models are used for seasonal prediction and they are very inaccurate as they have not been designed to this end. On the other hand, the intermittent nature of renewable energy sources is a challenge to grid operators, utilities and plant managers as they attempt to anticipate energy output. Reliable weather forecasts enabling an accurate prediction of energy generation in order to balance production and demand is key to boost the production of renewables and their smooth integration into the grid. Current weather forecasts used by this industry do not focus in predicting relevant variables for the energy sector (such as solar radiation). At geopredict we have put the most recent mathematical algorithms based on Artificial Intelligence into the task of revolutionising atmospheric forecasts and have created CLIMFOR, an intelligent, probabilistic, forecasting engine based on earth observation and in-situ data producing very reliable seasonal (medium-term: from few weeks up to a decade) forecasts with high spatial resolution (down to 1x1 km). With CLIMFOR we aim at improving the way we currently deal with the risks and opportunities arising from global change through climate negotiations, sustainable development policy, humanitarian aid and crisis management, as well as enabling a smooth integration of renewable energy sources into the grid. By targeting the renewable energy providers, disaster risk reduction players and the insurance sector, we expect to start commercialising CLIMFOR service in 2021 and reach an accumulated revenue of €13 million after 3 years and increase our headcount with almost 25 employees

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