Clim2Power has a number of deliverables available for public access. The following outputs are available for download below.

Presentations on Project Results (November 2020)

The following downloadable presentations were shared by the Clim2Power consortium with the academic community, the European User Board and the general public during the Open Event held online on Monday the 9th of November 2020, and the final European User Board Meeting, which took place on Tuesday the 10th of November 2020.

Portuguese Case Study Presentations

French Workshop Case Study Presentations

Austrian-German Case Study

The following link leads to an archive, where output time series of the Germany-Austria case study for wind electricity generation, PV electricity generation, electricity load and electricity price can be downloaded https://zenodo.org/record/4304532

Public Deliverables

Scientific papers

  1. Amorim, F., Simoes, S, Siggini, G., Assoumou, E. (2020). Introducing climate variability in energy systems modelling. Energy (206), 118089. https://doi.org/10.1016/j.energy.2020.118089
  2. Baumgartner, J., Gruber, K., Simoes, S., Saint-Drenan, Y.M., Schmidt, J. (2020) Less information, Similar Performance: Comparing Machine Learning-Based Time Series of Wind Power Generation to Renewables.ninja. Energies, 13 (9), 2277. https://doi.org/10.3390/en13092277
  3. Saint-Drenan, Y.M., Besseau, R., Jansen, M., Staell, I., Troccoli, A., Dubus, L., Schmidt, J., Gruber, K., Heier, S. (2020). A parametric model for wind turbine power curves incorporating environmental conditions. Renewable Energy Journal, (157), pp. 754-768. https://doi.org/10.1016/j.renene.2020.04.123 

Recent collaborations

Clim2Power project coordinator Sofia Simôes has recently collaborated with Francesca Larosa through the CLARA project to reflect on lessons learnt to date and future directions in the development of climate services. The full presentation is available here

Papers in Conference Proceedings

  1. Amorim, F., Simoes, S.G. Assoumou, E., Siggini, G. (2019). Introducing Climate Variability in Energy Systems Modelling. ICEE 2019- 4th International Conference on Energy and Environment: bringing together Engineering and Economics, 16-17 May 2019, Guimarães, Portugal. https://coutin68.wixsite.com/icee2019 
  2. Sessa, V., Carvalho, S. Assoumou, E. (2019) Variability of long-term estimates of hydro power generation on a European scale. ICAE 2019 – 11th International Conference on Applied Energy, 12-15 August 2019, Västerås, Sweden. http://www.applied-energy.org/icae2019/ 
  3. Simoes, S.G., Amorim, F., Fröhlich, K., Ostermoeller, J., Saint-Drenan, Y.M., Assoumou, E., Siggini, G., Sessa, V., Ranchin, T., Gschwind, B., Strosser, P., Parrod, C., Schmidt, J., Holzmann, H., Baumgartner, J., Martín-Santos, I., Mikovits, C., Herrnegger, M., O’Higgins, T., Dozyer, A., Kopke, K., Krook-Riekkola, A., Capela Lourenço, T., Carvalho, S., Beça, P., Diogo, P., Mujtaba, B., Seixas, J., Berrada, T., Paes, P. (2019). Clim2power – Translating climate data into power plants operational guidance. ICEE 2019- 4th International Conference on Energy and Environment: bringing together Engineering and Economics, 16-17 May 2019, Guimarães, Portugal. https://coutin68.wixsite.com/icee2019 

Conference Presentations and Posters

ECCA 2019 | CCB, Lisbon | 28–31 May | 4th European Climate Change Adaptation conference | Working together to prepare for change

Sofia Simões, coordinator of Clim2Power introduced the project to members of the scientific community participating in the JPI Climate side-event ‘Climate services: state of affairs, relevance for users and the way forward’,  on Monday 27th May 2019. This event showcased various Europe-made climate services and set-up a discussion on different aspects concerning their development: methods and engagement processes for user-tailored development; the role of climate services in societal transformation; actionable climate services – next steps for JPI Climate; looking for synergies with other initiatives and international (science) networks: valorisation, matchmaking and outreach; exploring the role of climate services in supporting sustainable finance and investments.

On Tuesday 28th, the Clim2Power project participated in the ECCA science session ‘Knowledge co-production and brokerage for climate services’, which focused on the most recent research results related to the use and application of Shared Socioeconomic Pathways (SSPs), Representative Concentration Pathways (RCPs), narratives and scenarios, along with impact modelling for the projection and assessment of sectoral climate risks.

Clim2Power project coordinator Sofia Simões at ECCA 2019
  1. Amorim, F., Simoes, S.G., Siggini, G., Assoumou, E. (2019) Clim2Power – Integrating climate data on a highly resolved TIMES model. 75th semi-annual ETSAP Meeting, 7th June 2019, Paris
  2. Baumgartner, J., Höltinger, S., Schmidt, J. (2018) Evaluation of technical modelling approaches for data pre-processing in machine learning wind power generation models (POSTER). EGU Conference, 8-13 Apr, Vienna. https://meetingorganizer.copernicus.org/EGU2018/EGU2018-14305.pdf
  3. Baumgartner, J., Schmidt, J., Gruber, K. (2019) Using machine learning to predict renewable electricity generation, electricity demand, and electricity prices from climate data. EGU Conference, 7-12 Apr, Vienna. https://meetingorganizer.copernicus.org/EGU2019/EGU2019-9567.pdf 
  4. Beça, P., Simoes, S.G., Mujtaba, B., Diogo, P., Amorim, F., Carvalho, S., Paes, P. (2019). CLIM2POWER Project: Seasonal forecasting for hydropower capacity in the Douro river basin – Portuguese case study (POSTER). ECCA- European Climate Change Adaptation Conference, 28-31 May, Lisbon, Portugal.
  5. Fortes, P., Simoes, S.G., Amorim, F., Siggini, G., Sessa, V., Saint-Drenan, Y-M., Carvalho, S., Mujtaba, B., Diogo, P., Assoumou, E. (2020) How sensitive is a carbon neutral power sector to climate change? Interplay between hydro, solar and wind for Portugal (POSTER). EMP-E 2020 – Modelling Climate Neutrality for the European Green Deal. 6th-8th October 2020, online conference. http://www.energymodellingplatform.eu/emp-e-2020.html 
  6. Holzmann, H. (2019) Short term and seasonal forecasts of hydro-power production by means of hydro-meteorological prediction. Scientific Symposium Future Trends in Civil Engineering. 17 October 2019, Zagreb, Croatia. http://www.grad.hr/ftce/2019/index.php#programme
  7. Martin Santos, I., Herrnegger, M., Ostermüller, J., Fröhlich, K., Holzmann, H. (2019) Analysis of seasonal hindcast for mean term hydrological forecasting in the Upper Danube River Basin (POSTER). EGU Conference, 7-12 Apr, Vienna https://meetingorganizer.copernicus.org/EGU2019/posters/31908 
  8. Ostermöller, J., Lorenz, P., Kreienkamp, F., Fröhlich, K., Martin-Santos, I., Holzmann, H., Herrnegger, M., Simoes, S.G. (2019). Generating highly resolved seasonal forecasts for hydropower and energy system modelling in the CLIM2POWER project (POSTER). EMS- European Meteorological Society Annual Meeting 2019. 9-13 September, Technical University of Denmark (DTU) Lyngby, Denmark. https://www.emetsoc.org/events/event/ems-annual-meeting-2019/
  9. Sessa, V. Assoumou, E., Bossy, M. (2019) Modeling the climate dependency of the run-of-river based hydro power generation using machine learning techniques: an application to French, Portuguese and Spanish cases. EMS – European Meteorological Society Annual Meeting 2019. 9-13 September 2019, EMS Annual Meeting Abstracts Vol. 16, EMS2019-238, 2019.Copenhagen, Denmark. https://www.emetsoc.org/events/event/ems-annual-meeting-2019/ 
  10. Sessa, V., Assoumou, E., Simoes, S.G. (2020) AI for smart and climate resilient energy systems: the challenges of learning and forecasting hydropower production time series at local and global scale in Europe. SOPHI.A Summit – Springboard for Artificial Intelligence, University Côte d’ Azur, 17-21 Nov 2020 Sophia Antipolis, France. https://univ-cotedazur.fr/events-uca/sophia-summit 
  11. Siggini, G., Simoes, S.G., Assoumou, E., Demassey, S. (2020) Cost-optimal role of wind and solar power in Europe under climate change (POSTER). EMP-E 2020 – Modelling Climate Neutrality for the European Green Deal. 6th-8th October 2020, online conference. http://www.energymodellingplatform.eu/emp-e-2020.html 
  12. Simoes, S.G. (2018). Clim2Power Project – Translating climate data into power plants operational guidance. 2nd Copernicus Climate Change Service (C3S) Symposium for the Energy Sector. 5-6 March 2018, Paris, France. https://climate.copernicus.eu/sites/default/files/2018-11/C3S_2nd_Energy_Symposium_20180306_1210_Simoes.pdf 
  13. Simoes, S. et al (2019). CLIM2POWER Project – co-developing a climate service for the European power system. ECCA 2019, 28-31 May, Lisbon. https://www.ecca2019.eu/clim2power-project-d-co-developing-a-climate-service-for-the-european-power-system/
  14. Simoes, S.G., Amorim, F. (2019) CLIM2POWER Project. JPI Connecting Climate Knowledge for Europe – Climate services: state of affairs, relevance for users and the way forward. JPI Climate side event at ECCA- European Climate Change Adaptation Conference, 27 May, Lisbon, Portugal. https://www.ecca2019.eu/programme/climate-services-state-of-affairs-relevance-for-users-and-the-way-forward/
  15. Simoes, S.G., Assoumou, E., Siggini, G., Carvalho, S., Oliveira, A., Amorim, F., Fortes, P., Saint-Drenan, Y-M., Sessa, V., Beça, P., Diogo, P., Mujtaba, B., Lourenço, T., Paes, P., (2020). Assessing climate change impacts in the European and Portuguese power sector (POSTER). Encontro Nacional de Investigação em Alterações Climáticas [National Meeting on Climate Change Research], 17-18 February 2020, Lisbon University, Lisbon
  16. Thuilliez, M, Sessa V.,  Bossy, M.,  Assoumou, E., Simões, S. (2019) Stochastic Model for the Uncertainties in the  Long-Term Prediction of Run-of-River Hydropower Generation. PGMO Days 2019, 1-2 December 2019, Paris, France. https://www.fondation-hadamard.fr/sites/default/files/public/bibliotheque/PGMO/PGMO-2019-booklet.pdf

User Board Presentations

2nd European User Board | Brussels, Belgium | February 2019 

This presentation introduced the main objectives and scope of the Clim2Power project, which aims to develop a climate service that integrates seasonal climate forecasts into decision making in the electricity sector. Sofia Simoes outlined how Clim2Power’s objectives and deliverables are aligned with the EU 2050 long-term strategy, which includes guaranteeing hydro, wind and PV resource availability capable of responding to demands and changes in the power system to adapt to natural resource availability. The presentation comprised a revision of what has been done to date within Clim2Power, from work packages (WPs) 1 to 5. It included an in-depth analysis of the importance of user boards for supporting the definition of user requirements (WP1) and the assessment of model results (WP4), as well as in testing the web service prototype (WP5). Sofia Simoes clarified the nature of a necessary shift in the understanding of uncertainty, away from uncertainty assessment, which is a perspective based on model performance for the past. The causes of uncertainty in relation to both current and future power systems and energy models have a multifactorial dimension (behaviour, regulation, economic crisis, etc.). In this light, uncertainty will not just be assessed, but managed/dealt with via multiple scenarios and/or stochastic runs.  

This presentation discussed how seasonal forecast is translated into hydropower in the study area of the Uper-Danube region, distributed between four EU states: Germany, Austria, Switzerland and Italy. It also explained the hydrological model COSERO, which is a continuous, semi-distributed, conceptual rainfall-runoff model to consider different processes, such as snow accumulation and melting and soil storage. The presentation detailed the variables that affect hydropower production, analysed the role of seasonal forecasts, and identified challenges and measure to improve the outcomes of the study. 

This presentation discussed the data and its role within the pipeline of the Clim2Power project. Whereas input data from re-forecasts will be used to create a model climatology and for evaluation, input data for real-time forecasts will contribute to create a forecast for the next 6 months. The presentation included possible solutions for statistical downscaling, introduced preliminary results and provided an outlook for the next months.

Edi Assoumou discussed the relationship between technology competitiveness, investment decisions and operational decisions in the EU power system. The presentation compared and contrasted preliminary data from three different studies about the predicted evolution of the main energy sources in the EU for the period 2016–2050. The studies show that there will be a shift away from coal and a decrease in the generation and consume of nuclear power, whereas biomass, solar energy and wind, both onshore and offshore, will provide most of the energy supply. The presentation also discussed existing research on the impact of a changing climate on the EU power system and informed about upcoming milestones of the Clim2Power project that will contribute to deliver a more comprehensive study of future climate conditions. 

Johannes Schmidt presented an overview of tasks related to renewable energy and demand stimulation. The presentation provided information on physical models of renewable electricity generation in Europe. It discussed the first results on PV and wind energy, as well as the role of machine learning in the data analysis process.

The presentation described the process of co-design of indicators based on the Clim2Power dataset that are pertinent for the energy industry. It explained how the project is bridging the gap between complex scientific model-based knowledge and targeted usable information for end users, by developing a web-based climate service that addresses how climate impacts hydro, wind and solar power operation, electricity demand and the whole power system at a seasonal timescale. Yves-Marie Saint Drenan explained how the energy variables are calculated and detailed the different datasets and energy indicators considered in the project. The presentation also provided insight about how data is made accessible to the public. 

This presentation focused on providing information included in the Final User Requirements Report (D1.4), which identified credibility, salience and legitimacy as the pillar categories in the process of translating climate data into usable information for end users. This document is the result of 5 user boards (4 national + 1 European) and an online survey that facilitated the co-design of the Usability Evaluation Framework (D1.5) for the Clim2Power web-based Climate Service. Some of the major findings were that credibility is strongly reliant on scientific best practices, salience requires strictly targeted information and legitimacy depends on the inclusion of multiple users, preferably across scales. Tim O’Higgins highlighted the importance of effectively communicating uncertainty underlying data and prediction in order to support the credibility of the climate service and detailed the steps to evolve from co-design to co-development in order to deliver the final Clim2Power Climate Service. 


The Clim2Power team welcomes feedback on the project and appreciates any comments that will help us to develop and refine the novel products and services being created in Clim2Power.

To give feedback, request more information, or for any inquiries you can contact us using the box on the right hand side.