scispace - formally typeset
M

Maryse Labriet

Researcher at Complutense University of Madrid

Publications -  56
Citations -  2067

Maryse Labriet is an academic researcher from Complutense University of Madrid. The author has contributed to research in topics: Climate change mitigation & Energy supply. The author has an hindex of 22, co-authored 56 publications receiving 1882 citations. Previous affiliations of Maryse Labriet include Université du Québec & United States Department of Energy.

Papers
More filters
Journal ArticleDOI

ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure

TL;DR: In this first part of a two-part article, the principal characteristics of the TIMES model and of its global incarnation as ETSAP-TIAM are presented and discussed.

The Role of Nuclear Energy in Long-Term Climate Scenarios: An Analysis with the World-TIMES model

TL;DR: In this paper, the authors analyzed the role of nuclear energy in long-term climate scenarios using the World-TIMES bottom-up model, which is a global model with 15 regions that optimizes their entire energy system over a 100-year horizon.
Journal ArticleDOI

The role of nuclear energy in long-term climate scenarios: An analysis with the World-TIMES model

TL;DR: In this paper, the authors analyzed the role of nuclear energy in long-term climate scenarios using the World-TIMES (The Integrated MARKAL-EFOM System) bottom-up model.
Journal ArticleDOI

Reinforcing the EU Dialogue with Developing Countries on Climate Change Mitigation

TL;DR: The FP6 TOCSIN project has evaluated climate change mitigation options in China and India and the conditions for strategic cooperation on research, development and demonstration (RDD) a strong increase in Annex I support regarding RD (III) a well designed mix of instruments and targets in an effective climate deal that addresses manifold national interests and concerns.
Journal ArticleDOI

Deterministic and stochastic analysis of alternative climate targets under differentiated cooperation regimes

TL;DR: The analysis shows that under some climate targets, it is not optimal to improve energy efficiency, but rather to take advantage of certain technologies that help to reach the climate objective, but that happen to be less energy efficient than even the technologies in the reference scenario.