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Guiding European Policy toward a low-carbon economy. Modelling Energy system Development under Environmental And Socioeconomic constraints

Objetivo

The transition to a low carbon economy needs to achieve multiple aims: competitiveness, protection of the environment, creation of quality jobs, and social welfare. Thus policy-makers and other key stakeholders require tools that need to focus beyond the energy sector by including these other domains of economy, society and the environment. Currently, most available tools lack integration of these important areas despite being tightly connected to the energy sector. Moreover, current energy modelling tools often lack documentation, transparency and have been developed for a specialized insider audience, which makes validation and comparison of results as well as independent review impossible. Our project aims to solve the current needs of integration and transparency by developing a leading-edge policy modelling tool based on WoLiM, TIMES and LEAP models and incorporating Input-Output Analysis, that allows for accounting of environmental, social and economic impacts. The modular design of the tool will take into account the necessary flexibility to deal with different levels and interests of stakeholders at great sectorial and spatial detail. Finally, transparency will be achieved through an open access freeware distribution of the model based on the open access programming language (Python), providing a detailed user manual, addressed to a wider non-specialist audience, and including free internet courses and learning materials.

Convocatoria de propuestas

H2020-LCE-2014-2015

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Convocatoria de subcontratación

H2020-LCE-2015-2

Régimen de financiación

RIA - Research and Innovation action

Coordinador

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Aportación neta de la UEn
€ 844 250,00
Dirección
CALLE SERRANO 117
28006 Madrid
España

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Región
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo de actividad
Research Organisations
Enlaces
Coste total
€ 844 250,00

Participantes (11)