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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

DATA MANAGEMENT PLAN - COLLECTION, PROCESSING AND DISSEMINATION OF DATA IN REEEM

Data Management Plan - Collection, processing and dissemination of data in REEEM

10 APRIL 2019

Data management plan

The Data Management Plan (DMP) constitutes a deliverable of the project. It aims at providing a clear picture of how the project manages data and metadata. The DMP describes the data management life cycle for the data to be collected, processed and/or generated by this Horizon 2020 project. One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, scientific data and their associated algorithms and workflows. The FAIR data principles are a set of guiding principles to make data Findable, Accessible, Interoperable, and Reusable (FAIR). This research project uses these principles to improve the scientific work during the project and the dissemination of the project results.

The full DMP can be found here. 

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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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