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The latest news on the EU Horizon 2020 REEEM Energy Systems Modelling project
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Newsletter, July 2019

July 2019 | Published by REEEM Project

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This newsletter will be released every month to inform you about current achievements, events, the status and progress of the project and any other interesting information concerning REEEM.

What is REEEM?

 

REEEM is an energy system modelling project which started in February 2016. It is part of the H2020-LCE call, focusing on model-based analysis policy measures and transformation pathways to a sustainable energy system. It is divided in seven work packages featuring different tasks from modelling to analysing.

Taking into account various objectives like defining and assessing pathways and case studies or creating a science-policy interface, the project aims to comprehend the system-wide implications of energy strategies in support of transitions to a competitive low-carbon EU energy society, given the goals outlined in the Strategic Energy Technology Plan. The supportive technology impact assessments will target the full integration from demand to supply and also from the individual to the entire system. It will further address people from different sectors of society.


For more detailed information check out our offical REEEM website.

Latest News

The Role of Behaviour and Heterogeneity for the Adoption of Technologies

The REEEM project funded a series of detailed empirical studies into individual preferences for low carbon technologies, looking in particular at the factors influencing technology adoption and exploring the differences between several EU member countries. Detailed surveys were carried out on 3000 European households in Finland, Croatia, and the UK. The responses were then used to build databases of individual attitudes and preferences with respect to decisions around home heating and transport. The work is described in a detailed report as well as a policy brief.

Read more on the topic here.

REEEMpathways, an open source tool for stakeholder engagement and pathway diagnostics


The REEEMpathways tool is an article-based open access online tool to visualise the results and key messages of the project in order to further enable stakeholder interaction. The tool is populated by data stored in the REEEM Pathways Database and provides public access to modelling insights, input data, and pathway assumptions from the project.

The user interface is designed with an emphasis on organise and visualise model data. A number of developed features enhance usability and accessibility. The tool allows REEEM partners to publish and update their own articles providing multiple types of static and dynamic charts to visualise their own key messages and the data behind it.

Read more on the REEEMpathways tool here.

REEEMgame, an open source game to make energy systems understandable

REEEMgame is a learning simulation of how the future will look depending on how the player decides to act. The goal is to maximize the score in 2050, considering the social, environmental and economic dimensions decade by decade.

The game aims to let the player interactively discover how (policy) decisions might affect the development of the European electricity sector in the transition to a low carbon system. At three points in time (2020, 2030, 2040) decisions need to be made concerning the emission reduction pathway, the investment in Renewable Energy Technologies, and the trans-border electricity transmission between European countries.

More on the REEEMgame and the link to it can be found here.

Partner of the Month

 


Aarhus Universitet

 
A total of eleven Organisations, Institutes and Universities from all around Europe are involved in the REEEM project. One of these is Aarhus Universitet.

Aarhus University (AU) was founded in 1928. It has about 38.000 students; about 1.900 PhD students – of which one in four has a foreign nationality - and close to 800 postdoctoral scholars together with 8,000 employees (2014). AU has four faculties which cover the entire research spectrum – basic research, applied research, strategic research and research based advice to the authorities. In recent years AU has been moving up the most important university ranking lists. In 2015 the university was number 81 at the Leiden Ranking and number 106 of 17.000 universities on the Times Higher Education World University Ranking (2015). Internationalization is part of the University’s mission and it continuously works to strengthen the international profile of the University through a series of initiatives which will increase international research partnerships and the number of international students. Further information and key figures can be found here.
 
Aarhus University (AU), Department of Environmental Science (ENVS) has a staff of 120 people, where about 60 people work in atmospheric research, including modelling, monitoring and advisory. AU-ENVS is the sole operator of the DK national air quality monitoring network and is the national reference laboratory for air quality. AU-ENVS has extensive experience in developing and applying atmospheric chemistry-transport models, from hemispheric scale down to street scale, for basic and applied research and for advisory to local, national and international decision makers. A unique expertise at ENVS-AU is the assessment of human exposure to airborne pollutants and state-of-the-art exposure models within the AirGIS system and the routinely applied multiscale air pollution forecasting and assessment system THOR, and the integrated model system EVA (Economic Valuation of Air pollution) for assessment of health impacts and related society cost from air pollution. More info here.
 
In REEEM project, AU-ENVS contributes to the calculation of current and future health impacts of air pollution and  associated costs from the energy sector in the EU countries, using the Danish Eulerian Hemispheric Model (DEHM) and the EVA model, in order to estimate emission unit costs on country level to study the impact of GHG reduction targets on air quality, accounting for non-linearities in the atmosphere. The emission unit costs will be fed back to the TIMES PanEU model as additional cost parameters on emissions of air pollutants in or-der to study the impact of air pollution control on the energy system transformation.
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 691739.