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Sub-seasonal to Seasonal climate forecasting for Energy

Sub-seasonal to Seasonal climate forecasting for Energy

Objective

Large scale deployment of renewable energy (RE) is key to comply with the GHG emissions reduction set by the COP21 agreement. Despite cost competitive in many settings, RE diffusion remains limited largely due to its variability. This works as a major barrier to RE’s integration in electricity networks as knowledge of power output and demand forecasting beyond a few days remains poor. To help solve this problem, S2S4E will offer an innovative service to improve RE variability management by developing new research methods exploring the frontiers of weather conditions for future weeks and months. The main output of S2S4E will be a user co-designed Decision Support Tool (DST) that for the first time integrates sub-seasonal to seasonal (S2S) climate predictions with RE production and electricity demand. To support the dissemination of climate services, a pilot of the DST will be developed in two steps. The first will draw on historical case studies pointed as relevant by energy companies - e.g. periods with an unusual climate behaviour affecting the energy market. The second step will improve probabilistic S2S real-time forecasts built up into the DST and assess their performances in real life decision-making in these companies. This process will be co-designed with consortium’s partners which represent different needs and interests in terms of regions, RE sources (wind, solar and hydro) and electricity demand. Besides the partners, S2S4E will engage other users from the energy sector as well as other business areas and research communities to further explore DST application and impact. As a result, DST will enable RE producers and providers, electricity network managers and policy makers to design better informed S2S strategies able to improve RE integration, business profitability, electricity system management, and GHG emissions’ reduction. The long-term objective is to make the European energy sector more resilient to climate variability and extreme events.
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Coordinator

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Address

Calle Jordi Girona 31
08034 Barcelona

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 916 875

Participants (11)

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CICERO SENTER KLIMAFORSKNING STIFTELSE

Norway

EU Contribution

€ 698 925

EDP RENOVAVEIS SA

Spain

EU Contribution

€ 151 800

ENBW ENERGIE BADEN-WURTTEMBERG AG

Germany

EU Contribution

€ 189 571,25

AGENZIA NAZIONALE PER LE NUOVE TECNOLOGIE, L'ENERGIA E LO SVILUPPO ECONOMICO SOSTENIBILE

Italy

EU Contribution

€ 291 880

THE UNIVERSITY OF READING

United Kingdom

EU Contribution

€ 484 593,75

SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT

Sweden

EU Contribution

€ 466 500

ELECTRICITE DE FRANCE

France

EU Contribution

€ 205 768,75

CAPGEMINI TECHNOLOGY SERVICES

France

EU Contribution

€ 436 250

LGI CONSULTING

France

EU Contribution

€ 434 375

THE CLIMATE DATA FACTORY

France

EU Contribution

€ 294 750

NNERGIX ENERGY MANAGEMENT SL

Spain

EU Contribution

€ 200 000

Project information

Grant agreement ID: 776787

Status

Ongoing project

  • Start date

    1 December 2017

  • End date

    30 November 2020

Funded under:

H2020-EU.3.5.1.

  • Overall budget:

    € 4 771 288,75

  • EU contribution

    € 4 771 288,75

Coordinated by:

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Spain