Person

Frédéric Louis François Babonneau

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Related publications (41)

GCC Countries Strategic Options in a Global Transition to Zero-Net Emissions

Marc Vielle, Frédéric Louis François Babonneau, Alain Haurie

Using a multi-level perspective approach combined with top-down macroeconomic models, we analyze the situation of the GCC countries in the perspective of a global transition to zero-net emissions before the end of the century. Based on these analyses, we p ...
2023

Reaching Paris Agreement Goal through CDR/DAC Development: A Compact OR Model

Marc Vielle, Frédéric Louis François Babonneau, Alain Haurie

A compact operations research (OR) model is proposed to analyse the prospects of meeting the Paris Agreement targets when direct air capture technologies can be used or not. The main features of the model are (i) the representation of the economy and energ ...
2021

Assessment of Climate Agreements over the Long Term with Strategic Carbon Dioxyde Removal

Marc Vielle, Frédéric Louis François Babonneau, Alain Haurie

In this paper we extend a game theoretic meta-model used to assess the future of Paris agreement to the time horizon 2100 and we include in the strategic decisions of the negotiating coalitions the use of Carbon Dioxyde Removal (CDR) technologies. The meta ...
LEURE2020

Overcapacity in European power systems: Analysis and robust optimization approach

Michel Bierlaire, François Maréchal, Frédéric Louis François Babonneau, Stefano Moret

The planning of national power systems is traditionally based on long-term forecasts of electricity demand and fuel prices. However, over such long time horizons (20-50 years), these forecasts often prove to be inaccurate. As an example, wrong projections ...
ELSEVIER SCI LTD2020

Decision support for strategic energy planning: A robust optimization framework

Michel Bierlaire, François Maréchal, Frédéric Louis François Babonneau, Stefano Moret

Optimization models for long-term energy planning often feature many uncertain inputs, which can be handled using robust optimization. However, uncertainty is seldom accounted for in the energy planning practice, and robust optimization applications in thi ...
ELSEVIER2020

An Oligopoly Game of CDR Strategy Deployment in a Steady-State Net-Zero Emission Climate Regime

Marc Vielle, Frédéric Louis François Babonneau, Alain Haurie

In this paper, we propose a simple oligopoly game model to represent the interactions between coalitions of countries in deploying carbon dioxide removal (CDR) strategies in a steady-state net-zero emission climate regime that could take place by the end o ...
SPRINGER2020

Producing Policy-relevant Science by Enhancing Robustness and Model Integration for the Assessment of Global Environmental Change

Marc Vielle, Frédéric Louis François Babonneau, Santosh Ram Joshi, Alain Haurie

We use the flexible model coupling technology known as the bespoke framework generator to link established existing modules representing dynamics in the global economy (GEMINI-E3), the energy system (TIAM-WORLD), the global and regional climate system (MAG ...
2019

Potentials of Negative Emissions in the Design of Climate Agreements

Marc Vielle, Frédéric Louis François Babonneau, Alain Haurie

The aim of this paper is to explore the long-term relevance of negative emissions for the attainment of Paris agreement goals. For this purpose, we extend a game theoretic meta-model used to assess the future of Paris agreement to the time horizon 2100 and ...
2019

From COP21 pledges to a fair 2°C pathway

Marc Vielle, Frédéric Louis François Babonneau, Alain Haurie

At COP21, about 160 countries proposed the so-called INDCs that define GHG abatement objectives by 2030. While encouraging, these commitments are not ambitious enough to achieve the 2°C threshold by 2100, and further negotiations are needed for sharing the ...
2018

Meta-Modeling to Assess the Possible Future of Paris Agreement

Marc Vielle, Frédéric Louis François Babonneau, Alain Haurie, Alain Bernard

In the meta-modeling approach one builds a numerically tractable dynamic optimization or game model in which the parameters are identifed through statistical emulation of a detailed large scale numerical simulation model. In this paper we show how this app ...
2018

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