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TickmarkLATEST DELIVERABLES

Integrated Impact report

Second Policy Brief

Focus Report on economic impacts

Macroeconomic and distributional impacts of decarbonisation pathways

Focus Report on behavioural effects and distributional impacts

Policy Brief – The Role of Behaviour and Heterogeneity for the Adoption of Technologies

Focus Report on climate impacts on the Energy-Food-Water nexus

Focus Report on LCA and critical material demand for energy technologies

Policy Brief

Technology Roadmaps

Innovation Readiness Level assessments

Stakeholder Interaction Portal

Pathways Diagnostic Tool

Open-source Engagement Model

Online Energy Systems Learning Simulation

See all deliverables HERE

PROJECT FACT SHEET

Acronym: REEEM
Title: Role of technologies in an energy efficient economy – model based analysis policy measures and transformation pathways to a sustainable energy system
Call: H2020-LCE
Funding scheme: RIA – Research and innovation action
Grant agreement no.: 691739
Duration: 42 Months
Start date: February 2016
Estimated Project cost: €3,997,458.75
Requested EU contribution: €3,997,458.75
Total effort: 423.5 Person-months
Project coordinator: Mark Howells – Department of Energy Technology, School of Industrial Engineering and Management, Kungliga Tekniska Högskolan (KTH Royal Institute of Technology)
Project Officer: Manuela Conconi

EVENTS

See previous events HERE

REEEM: FINAL MEETING AND DATA PUBLICATION

REEEM: Final Meeting and Data Publication

10 SEPTEMBER 2019

REEEM Booklet

Mascha Richter and Ludwig Hülk participated in the final project meeting in Brussels in July 2019 and presented the public relations work and the project database developed by the RLI.

With the completion of the EU research project REEEM, the RLI has published the majority of the project results with open licenses. This includes all project reports that are now available via Zenodo with DOI as well as various model data stored on the OpenEnergyPlatform (OEP). The model data are both the input parameters and the result data of the individual models. Special emphasis has been placed on providing the data with rich metadata that follow the FAIR Data Principles.

In cooperation with the project partner TOKNI from the Faroe Islands, the main project results were summarized in a small-format brochure.

Final meeting participants

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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.

REEEM IS PART OF THE LCE21-2015 PROJECT FAMILY

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