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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

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JOURNAL PAPER - TECHNOLOGY INTERDEPENDENCY IN THE UNITED KINGDOM'S LOW CARBON ENERGY TRANSITION

Journal paper - Technology interdependency in the United Kingdom's low carbon energy transition

03 JUNE 2019

Representation of clusters in a dendrogram Figure X. Representation of clusters in a dendrogram, using a hierarchical clustering approach. Clusters are built from the bottom-up, with closely related metrics first pairing together, then the pairs being paired, until all clusters form a single cluster. This figure shows 10 specific clusters, shown by different colours.

A new paper was published online in April 2019 by the journal "Energy Strategy Reviews" based on REEEM research. Titled "Technology interdependency in the United Kingdom's low carbon energy transition", the paper sets out to explore the conditions in which different low carbon technologies are chosen and deployed in future energy systems. In this research, we use a clustering algorithm to explore, across many hundreds of scenarios, whether technologies tend to be deployed with other technologies (due to some dependency), in competition with other low carbon technologies, or irrespective of other factors (independent).

We find that technologies compete in some instances, often on costs, group together because they co-depend on each other, or emerge under all conditions, as robust options. Crucially, the broader scenario framing around carbon capture and storage (CCS) availability and climate policy stringency strongly influences these interdependencies. We conclude that understanding relationships between technologies is important as it provides useful information as to why technologies are deployed, based on factors other than costs.

This paper builds on an earlier Deliverable under the REEEM project, published in February 2018 titled "Coevolution and competition of technologies in a low carbon system". In particular, it extends the analysis to use a hierarchical clustering algorithm to systematically determine technology dependency. Some illustrative results are shown in the dendrogram above, highlighting how different model metrics cluster.

The full paper 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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