Explore the words cloud of the S2S4E project. It provides you a very rough idea of what is the project "S2S4E" about.
The following table provides information about the project.
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
|Coordinator Country||Spain [ES]|
|Total cost||4˙771˙288 €|
|EC max contribution||4˙771˙288 € (100%)|
1. H2020-EU.3.5.1. (Fighting and adapting to climate change)
|Duration (year-month-day)||from 2017-12-01 to 2020-11-30|
Take a look of project's partnership.
|1||BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION||ES (BARCELONA)||coordinator||916˙875.00|
|2||CICERO SENTER KLIMAFORSKNING STIFTELSE||NO (Oslo)||participant||698˙925.00|
|3||THE UNIVERSITY OF READING||UK (READING)||participant||484˙593.00|
|4||SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT||SE (NORRKOEPING)||participant||466˙500.00|
|5||CAPGEMINI TECHNOLOGY SERVICES||FR (SURESNES)||participant||436˙250.00|
|6||LGI CONSULTING||FR (PARIS)||participant||434˙375.00|
|7||THE CLIMATE DATA FACTORY||FR (PARIS)||participant||294˙750.00|
|8||AGENZIA NAZIONALE PER LE NUOVE TECNOLOGIE, L'ENERGIA E LO SVILUPPO ECONOMICO SOSTENIBILE||IT (ROMA)||participant||291˙880.00|
|9||ELECTRICITE DE FRANCE||FR (PARIS 08)||participant||205˙768.00|
|10||NNERGIX ENERGY MANAGEMENT SL||ES (SANT CUGAT DEL VALLES)||participant||200˙000.00|
|11||ENBW ENERGIE BADEN-WURTTEMBERG AG||DE (KARLSRUHE)||participant||189˙571.00|
|12||EDP RENOVAVEIS SA||ES (OVIEDO)||participant||151˙800.00|
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.
|Update of Communication, Dissemination and User Engagement Plan (CDUEP)||Documents, reports||2019-11-12 11:30:36|
|Communication, Dissemination and User Engagement Plan (CDUEP)||Documents, reports||2019-11-12 11:30:35|
|Communication and PR materials (roll-up and brochure).||Websites, patent fillings, videos etc.||2019-11-12 11:30:32|
|Website and social media platforms up and running, visual identity (design elements), templates and logo available||Websites, patent fillings, videos etc.||2019-11-12 11:30:32|
|Data Management Plan (DMP) presentation||Open Research Data Pilot||2019-11-12 11:30:23|
|Assessment of policies and recommendations||Documents, reports||2019-11-12 11:30:16|
|Data Management Plan (DMP) update||Open Research Data Pilot||2019-11-12 11:30:11|
Take a look to the deliverables list in detail: detailed list of S2S4E deliverables.
|year||authors and title||journal||last update|
Nicola Cortesi, VerÃ³nica Torralba, Nube GonzÃ¡lez-Reviriego, Albert Soret, Francisco J. Doblas-Reyes
Characterization of European wind speed variability using weather regimes
published pages: , ISSN: 0930-7575, DOI: 10.1007/s00382-019-04839-5
A Soret, V Torralba, N Cortesi, I Christel, Ll Palma, A Manrique-SuÃ±Ã©n, Ll LledÃ³, N GonzÃ¡lez-Reviriego, F J Doblas-Reyes
Sub-seasonal to seasonal climate predictions for wind energy forecasting
published pages: 12009, ISSN: 1742-6588, DOI: 10.1088/1742-6596/1222/1/012009
|Journal of Physics: Conference Series 1222||2019-09-02|
Ll. LledÃ³, V. Torralba, A. Soret, J. Ramon, F.J. Doblas-Reyes
Seasonal forecasts of wind power generation
published pages: 91-100, ISSN: 0960-1481, DOI: 10.1016/j.renene.2019.04.135
|Renewable Energy 143||2019-08-05|
LlorenÃ§ LledÃ³, Omar Bellprat, Francisco J. Doblas-Reyes, Albert Soret
Investigating the Effects of Pacific Sea Surface Temperatures on the Wind Drought of 2015 Over the United States
published pages: 4837-4849, ISSN: 2169-897X, DOI: 10.1029/2017JD028019
|Journal of Geophysical Research: Atmospheres 123/10||2019-04-18|
RaÃ¼l Marcos, Nube GonzÃ¡lez-Reviriego, VerÃ³nica Torralba, Albert Soret, Francisco J. Doblas-Reyes
Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4
published pages: pp1-13, ISSN: 0930-7575, DOI: 10.1007/s00382-018-4338-5
|Climate Dynamics Journal no. 382||2019-04-18|
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The information about "S2S4E" are provided by the European Opendata Portal: CORDIS opendata.
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