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Nadia Maizi

Nadia Maizi

Professor

Center · CMA

Discipline(s)
Applied Mathematics, Energy, Thermal Sciences, Political Science
Topic(s)
Adaptation, CO2, Renewable Energy, Scenario-Modelling

Keywords

Awards & distinctions

  • 2022 Membre (nommée par le Président) Algerian Council of Research Science and Technology
  • 2020 Member appointed by the Minister of Ecological and Solidarity Transition to the Scientific Council of the CEA (Commission for Alternative Energies)
  • 2020 Appointed Member of the Strategic Steering Committee of Paris-Saclay University
  • 2020 Appointed as a Member of the Expert Committee for the Hubert Curien–Tassili Program with Algeria
  • 2018 IPCC—Appointed Lead Author for Working Group III (WG III) to prepare the IPCC's Sixth Assessment Report
  • 2016 Best paper award 2050 ; 2016 4th IEEE (internat conf on Smart Energy Grid Egineering) , Canada
  • 2015 Legion of Honor
  • 2015 Membre du comité d'export (nommée par le Ministre de la Transition énergétique) pour la LCETV

Team

Modélisation prospective

Biography

Nadia Maïzi is a researcher specializing in the prospective modeling of energy systems and the transition to low-carbon economies. Her work focuses on the techno-economic optimization of energy trajectories, incorporating technical, geographic, and environmental constraints. She has contributed to the development and application of bottom-up models, notably the TIMES model, to analyze decarbonization scenarios at various scales, from the local level (islands, regions) to the national level (France, Algeria) and the regional level (MENA). Her research addresses issues such as the integration of intermittent renewable energy sources, the deployment of technologies such as hydrogen or power-to-gas, and the evaluation of public policies on climate and energy. His expertise also extends to the analysis of socioeconomic dynamics and resilience strategies in the face of the challenges posed by the energy transition, particularly in contexts vulnerable to fluctuations in the hydrocarbon markets.

Publication(s)

Projects

  • 2026 - Climate fiction, Science fiction and Prospective Lead Investigator Le Centre de mathématiques appliquées (CMA) de Mines Paris – PSL conduit depuis le milieu des années 2000 des recherches de référence sur la modélisation prospective du système énergétique mondial pour mettre notamment en évidence les défis de long terme posés par la décarbonation et l’atténuation. La démarche prospective déclinée se base sur une approche optimale déterminant des scénarios du futur. Pour aller plus loin dans l’élaboration des futurs possibles, il est proposé ici d’étudier une démarche différente, relevant des sciences sociales pour questionner l’apport de la science-fiction et de la fiction-climatique. Cette réflexion s’inscrit dans le cadre d’un travail collaboratif avec des partenaires européens.
  • 2027 - Apprendre de l'Afrique: du temps long Lead Investigator

Teaching

Prospective Modeling and Policies to Combat Climate Change

2010 Instructor in charge

Under the impetus of the climate question and economic globalization, prospective modeling—a tradition once forgotten—linking digital foresight, economic calculation, public economics, and strategic reflection, is now widely reinvested in the context of international negotiations surrounding the climate dossier. The objective of this course is to present the tools of prospective modeling, born in the 1960s from the dialogue between mathematicians and economists, and based on a concept of optimality. We will revisit the history of the contribution of long-term prospective models in addressing the climate question. Additionally, we will decipher the role of mathematics in the framework of prospective modeling by examining the models in their disciplinary crossovers: mathematics and economics. Through concrete cases, we will illustrate why these tools—bringing into play skills in applied mathematics and economic sciences—have become the essential and indispensable support for prospective reflection in evaluating policies to combat climate change. Beyond this, this course aims to • examine mathematical models from a different angle by illustrating the role of mathematical modeling and optimization in questions that are "a priori" non-mathematical; • prepare students for debates on climate change by providing insight into available modeling tools; • confront the challenges of modeling within a complex dynamic framework, that of climate change, where the human factor is central. Prerequisites Operations research and/or optimization

Design de la Transition

2020 – en cours Lecturer

It must be acknowledged that the expected energy transition will not occur spontaneously and will require active intervention (from stakeholders: governments, companies, etc.). This expresses a mandatory shift from open-loop (past) revolutions to closed-loop energy transition in order to achieve a decarbonization target in time. This course proposes to understand the stakes underlying the design of an actual low-carbon transition. Past transitions have often been driven by better service and performance, or cheaper energy; we will explore the fundamental drivers of these past observed transitions and their dynamics described by empirical data collected through the juxtaposition of historical and philosophical points of views in order to better understand obstacles that the expected low carbon transition faces such as: inertia of technologies and infrastructures, the effectiveness and economic competitiveness of low-carbon energy technologies (at least during past decades), and the level of investment required. In addition to a modification of the technology and fuel used, the energy transition must involve a change in consumer behavior (notably in the transport and residential sectors). Study of current transitions (successful or unsuccessful): present the technical, economic, sociological and political conditions involved in elaborating energy transitions throughout the world; in order to capture the greatest number of explanatory elements and relevant drivers of the ongoing or foreseen transitions, various and significant regions will be explored, since the questions tackled cannot be restricted to a universal vision centered on a particular model.

PhD supervision

  • 2025 Integration of geographic information systems into foresight models GENELOT Gabriel
  • 2025 Structural inequalities and mitigation and adaptation trajectories in Martinique: Analysis of decarbonization objectives through the lens of equity and post-colonial insular specificities PIERRE-LÉANDRE Rachel
  • 2024 Study of the links between foresight and governance around climate change mitigation scenarios STÜHRENBERG Lou
  • 2023 Consideration of interactions between biodiversity and climate issues in public policies: State of play, challenges, and perspectives CAUMEL Claire
  • 2022 Long-term prospective modeling of energy systems in the Middle East and North Africa region: focus on the challenges and opportunities of the energy transition for hydrocarbon-producing countries BARNET Charlène
  • 2022 Conceptualization and implementation of prospective models for studying a societal paradigm shift: an application to the case of France FEIX Thibaut
  • 2020 Towards a multi-scale approach in long-term foresight exercises. ALIMOU Yacine
  • 2018 Prospective Energy PACA: What future transformations of the territory to ensure an energy transition and a circular economy? ANDRADE Carlos
  • 2017 Illuminating the long-term future of cities through a forward-looking approach: what our models reveal about the Bordeaux metropolitan area DENOUX Matthieu
  • 2016 The energy transition to low carbon or how to achieve the advent of a myth? MILLOT Ariane