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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

ESME

The ESME (Energy Systems Modelling Environment) model is national integrated energy systems model for the UK, used to simulate a range of different low carbon pathways. Built in the AIMMS environment, the model uses linear programming to assess cost-optimal technology portfolios across all sectors of the energy system, to deliver CO2 emission reductions (Heaton 2014). It is spatially resolved, providing insights on the energy system change across different regions of the UK (Li, Pye, and Strachan 2016). ESME also features a module for simulating large numbers of runs to explore parametric uncertainty of model inputs, through Monte Carlo sampling (Pye, Sabio, and Strachan 2015; Pye, Usher, and Strachan 2014), and it is this feature that is used in the REEEM project. In addition to its use in research, ESME has been used to inform energy policy and strategy in the UK, both for the Department for Energy and Climate Change (DECC 2011), [1] and the UK Committee on Climate Change (CCC) (CCC 2013, 2011).

ESME model FACT SHEET

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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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