2014
DOI: 10.1016/j.esr.2013.12.008
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Description of models and scenarios used to assess European decarbonisation pathways

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Cited by 111 publications
(50 citation statements)
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“…A description of the models used to assess European decarbonisation pathways is proposed by [24]. It regards partial equilibrium energy system models, energy models dedicated to specific sectors, general equilibrium models, and macro-econometric models.…”
Section: The Description Of the Modelmentioning
confidence: 99%
“…A description of the models used to assess European decarbonisation pathways is proposed by [24]. It regards partial equilibrium energy system models, energy models dedicated to specific sectors, general equilibrium models, and macro-econometric models.…”
Section: The Description Of the Modelmentioning
confidence: 99%
“…It assumes full implementation of already adopted policies, including the Renewable Energy Directive and the Energy Efficiency Directive. Basic scenario driver information for Europe such as population and GDP growth as well as feedstock-specific bioenergy demand is based on data from the EC or generated by the GEM-E3 and the PRIMES models (Capros et al 2014) and taken up by GLOBIOM-EU.…”
Section: Reference Scenariomentioning
confidence: 99%
“…TIMES-CZ is based on the Czech region of the Pan-European TIMES-PanEu model developed by the Institute of Energy Economics and Rational Energy Use at the University of Stuttgart [15] that was originally built on the basis of Eurostat energy balances for 2010. TIMES-CZ is, however, updated to account for 2012 individual-and sector-level data and the base year is calibrated according to the Eurostat energy balance.…”
Section: The Times-cz Modelmentioning
confidence: 99%
“…TIMES has been widely used to assess the decarbonisation pathways and strategies on global [14], European [15], and country level [16,17]. Timmerman et al [18] classify the TIMES model-alongside MARKAL [19], ETEM [20], and OSeMOSYS [21]-as an evolved energy system model.…”
Section: Literature Reviewmentioning
confidence: 99%
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