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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

EVA

The EVA system (Brandt et al., 2013a, b) is based on the impact-pathway chain (e.g. Friedrich and Bickel, 2001), consisting of the emissions, transport and chemical transformation of air pollutants, population exposure, health impacts and the associated external costs. The EVA system requires hourly gridded concentration input from a regional-scale CTM as well as gridded population data, exposure-response functions (ERFs) for health impacts, and economic valuations of the impacts from air pollution. As the health outcomes are age-dependent, the total population data has been broken down to a set of age intervals being babies (under 9 months), children (under 15), adult (above 15), above 30, and above 65. The EVA system can be used to assess the number of various health outcomes including different morbidity outcomes as well as short-term (acute) and long-term (chronic) mortality, related to exposure of O3, CO and SO2 (short-term) and PM2.5 (long-term). Furthermore, impact on infant mortality in response to exposure of PM2.5 is calculated. The morbidity outcomes include chronic bronchitis, restricted activity days, congestive heart failure, lung cancer, respiratory and cerebrovascular hospital admissions, asthmatic children (under 15 years) and adults (above 15 years), which includes bronchodilator use, cough, and lower respiratory symptoms.

In frame of the REEEM project, EVA model is used to calculate the emission unit costs for each individual European country for a number of primary pollutants including NOx, SOx and PM2.5. Furthermore, in order to assess the non-linear relationships between pollutants concentrations, emissions and their health impacts, different emission perturbation are introduced to the underlying chemistry and transport model targeting each of the individual pollutants and important emission sectors such as the energy production and traffic. The calculated unit costs will then be used in the TIMES PanEU model.

EVA 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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