Awards & distinctions
- 2019 Elected as a member of the Steering Committee of the Franco-German Office for Energy Transition (OFATE),
Team
ERSEI - Energies Renouvelables et Systèmes Energétiques Intelligents
Biography
Robin Girard is a researcher specializing in energy systems and their transition to low-carbon models. His work focuses primarily on the integration of renewable energy, the optimization of power grids, and the techno-economic modeling of energy infrastructure. His research addresses key issues such as the optimal planning of direct current (MVDC) and alternating current (AC) grids, the electrification of industrial and residential applications, and the evaluation of building retrofit strategies for energy efficiency using life cycle assessment (LCA) and multi-objective optimization methods. He also explores synergies between industrial sectors to reduce CO₂ emissions, particularly through the use of green hydrogen, bioenergy, and carbon capture technologies. His contributions include the development of bottom-up models to simulate decarbonization trajectories at the local and European levels, as well as decision-support tools for public and private stakeholders. His work is based on quantitative approaches, combining linear programming, stochastic analysis, and geospatial methods to assess the costs, performance, and environmental impacts of energy solutions.
Publication(s)
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2026
Optimal operational planning of hybrid power plants in railway MVDC networks and comparison with standard AC connections DOI : 10.1016/j.ijepes.2026.111633
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2025
Evaluating the Short-Term Indicators of Optimal Building Renovation Strategies based on Life Cycle Sustainability Assessment DOI : 10.1088/1755-1315/1554/1/012125
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2025
An aggregation method to model district heating networks in large-scale multi-energy simulations DOI : 10.1016/j.energy.2025.137384
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2025
Integrating life cycle sustainability assessment into building renovation strategies DOI : 10.1016/j.buildenv.2025.113694
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2025
Decarbonisation modelling for key industrial sectors focusing on process changes in a cost-optimised pathway DOI : 10.1016/j.apenergy.2024.125206
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2025
Decarbonisation of industry and the energy system: Exploring mutual impacts and investment planning DOI : 10.1016/j.jclepro.2025.145511
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2025
Hedging hydrogen: Planning and contracting under uncertainty for a green hydrogen producer DOI : 10.1016/j.eneco.2025.108981
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2025
TECHNO ECONOMIC COMPARISON BETWEEN MEDIUM VOLTAGE DC AND AC CONNECTIONS OF FLEXIBLE DC RESOURCES DOI : 10.1049/icp.2025.1216
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2024
A generic methodology for mapping the performance of various heat pumps configurations considering part-load behavior DOI : 10.1016/j.enbuild.2024.114490
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2024
Green and low-carbon hydrogen - the impact of classification rules and subsidies on asset sizing and energy sourcing for electrolytic hydrogen production. DOI : 10.1109/AUPEC62273.2024.10807631
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2024
SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives DOI : 10.1016/j.apenergy.2024.122936
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2024
Assessing the relative impacts of maximum investment rate and temporal detail in capacity expansion models applied to power systems DOI : 10.1016/j.energy.2024.130231
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2024
A spatially-explicit method for generating prospective district heating scenarios DOI : 10.1016/j.energy.2024.133902
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2024
A conditional and regularized approach for large-scale spatiotemporal wind power forecasting DOI : 10.1016/j.seta.2024.103743
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2023
Industrial hydrogen hub planning and operation with multi-scale optimisation DOI : 10.1016/j.jclepro.2023.138750
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2023
Calibration method for an open source model to simulate building energy at territorial scale DOI : 10.1016/j.enbuild.2023.113205
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2023
Techno-economic evaluation and resource assessment of hydrogen production through offshore wind farms: A European perspective DOI : 10.1016/j.rser.2023.113699
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2023
Risk-conscious asset sizing and energy procurement planning for an electrolytic hydrogen producer DOI : 10.1109/ISGTEUROPE56780.2023.10407681
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2023
Prospective bottom-up modelling of industry: what place for electrification in a cost optimised trajectory ? DOI : 10.1109/ISGTEUROPE56780.2023.10408055
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2023
Comparison of Losses and Costs between AC and MVDC Connections for New DC Resources DOI : 10.1109/ISGTEUROPE56780.2023.10408682
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2023
Agglomerative Hierarchical Clustering Applied to Medium Voltage Feeder Hosting Capacity Estimation DOI : 10.1109/ISGTEUROPE56780.2023.10407203
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2023
ELMAS: a one-year dataset of hourly electrical load profiles from 424 French industrial and tertiary sectors DOI : 10.1038/s41597-023-02542-z
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2023
AUTOCALIBRATION OF A BOTTOM-UP METHODOLOGY FOR LONG TERM ELECTRICITY CONSUMPTION FORECASTING DOI : 10.1049/icp.2023.1190
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2023
Hydrogen production via electrolysis in 2030: comparing four connection schemes through energy system optimization DOI : 10.1109/ISGTEUROPE56780.2023.10407454
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2022
Data-driven structural modeling of electricity price dynamics DOI : 10.1016/j.eneco.2022.105811
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2022
A generic methodology to efficiently integrate weather information in short-term Photovoltaic generation forecasting models DOI : 10.1016/j.solener.2022.08.042
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2022
Addressing Market Issues in Electrical Power Systems with Large Shares of Variable Renewable Energy DOI : 10.1109/EEM54602.2022.9921152
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2021
SHORT-TERM PHOTOVOLTAIC GENERATION FORECASTING ENHANCED BY SATELLITE DERIVED IRRADIANCE DOI : 10.1049/icp.2021.1864
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2021
Photovoltaic power forecasting: Assessment of the impact of multiple sources of spatio-temporal data on forecast accuracy DOI : 10.3390/en14051432
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2020
Short-term Forecasting of Photovoltaic Generation based on Conditioned Learning of Geopotential Fields DOI : 10.1109/UPEC49904.2020.9209858
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2020
Quantifying power system flexibility provision DOI : 10.1016/j.apenergy.2020.115852
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2020
Joint optimization of building-envelope and heating-system retrofits at territory scale to enhance decision-aiding DOI : 10.1016/j.apenergy.2020.114639
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2019
Simulation of day-Ahead electricity market prices using a statistically calibrated structural model DOI : 10.1109/EEM.2019.8916273
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2019
Retrofitting a building stock: Modeling and optimization for decision aiding at territory scale DOI : 10.1088/1742-6596/1343/1/012029
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2019
Multi-temporal assessment of power system flexibility requirement DOI : 10.1016/j.apenergy.2019.01.198
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2019
Modeling and forecasting electric vehicle consumption profiles DOI : 10.3390/en12071341
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2019
Probabilistic Models for Spatio-Temporal Photovoltaic Power Forecasting DOI : 10.1109/TSTE.2018.2847558
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2018
Robust day-ahead forecasting of household electricity demand and operational challenges DOI : 10.3390/en11123503
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2018
A stochastic optimal power flow for scheduling flexible resources in microgrids operation DOI : 10.1016/j.apenergy.2018.07.114
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2018
Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production DOI : 10.1109/TSTE.2017.2747765
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2018
Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm DOI : 10.1016/j.apenergy.2017.09.008
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2018
An address-matching algorithm for household-scale databases to enhance electricity demand characterization DOI : 10.1049/cp.2018.1893
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2018
Storage sizing for grid connected hybrid wind and storage power plants taking into account forecast errors autocorrelation DOI : 10.1016/j.renene.2017.10.070
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2017
Residential electrical and thermal storage optimisation in a market environment DOI : 10.1049/oap-cired.2017.1086
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2017
Stochastic multi-temporal optimal power flow approach for the management of gridconnected storage DOI : 10.1049/oap-cired.2017.0726
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2017
Fractal Grid - towards the future smart grid DOI : 10.1049/oap-cired.2017.1236
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2017
Long-term forecast of local electrical demand and evaluation of future impacts on the electricity distribution network DOI : 10.1049/oap-cired.2017.0743
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2017
Evolution of electrical distribution grid sizing considering self-consumption of local renewable production DOI : 10.1049/oap-cired.2017.1248
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2017
Probabilistic day-ahead forecasting of household electricity demand DOI : 10.1049/oap-cired.2017.0625
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2017
The role of predictability in the investment phase of wind farms DOI : 10.1016/B978-0-08-100504-0.00014-7
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2017
A generic GIS-based method for small Pumped Hydro Energy Storage (PHES) potential evaluation at large scale DOI : 10.1016/j.apenergy.2017.03.103
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2017
A novel method for decomposing electricity feeder load into elementary profiles from customer information DOI : 10.1016/j.apenergy.2017.06.096
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2017
LCA of emerging technologies: addressing high uncertainty on inputs' variability when performing global sensitivity analysis DOI : 10.1016/j.scitotenv.2016.10.066
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2016
An optimisation algorithm for matching large scale databases on customers for improved characterisation of electricity consumption
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2016
Multi-temporal optimal power flow for assessing the renewable generation hosting capacity of an active distribution system DOI : 10.1109/TDC.2016.7520043
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2016
Sensitivity analysis in the technical potential assessment of onshore wind and ground solar photovoltaic power resources at regional scale DOI : 10.1016/j.apenergy.2016.08.075
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2015
An edge model for the evaluation of wind power ramps characterization approaches DOI : 10.1002/we.1753
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2015
Optimal power flow of a distribution system based on increasingly tight cutting planes added to a second order cone relaxation DOI : 10.1016/j.ijepes.2014.12.084
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2014
Iterative linear cuts strenghtening the second-order cone relaxation of the distribution system optimal power flow problem
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2014
A robust investment strategy for generation capacity in an uncertain demand and renewable penetration environment DOI : 10.1109/EEM.2014.6861240
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2014
A novel approach for electric load curve holistic modelling and simulation
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2014
Fast dynamic programming with application to storage planning
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2013
Planning-oriented yearly simulation of energy storage operation in distribution system for profit maximization, voltage regulation and reserve provisionning DOI : 10.1049/cp.2013.1139
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2013
A criticality criterion to decrease the computational burden in multistage distribution system optimal power flow DOI : 10.1109/PTC.2013.6652282
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2013
A novel methodology for comparison of different wind power ramp characterization approaches
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2013
The impact of available data history on the performance of photovoltaic generation forecasting models DOI : 10.1049/cp.2013.0971
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2013
The impact of electricity market schemes on predictability being a decision factor in the wind farm investment phase ewea 2013 conference proceedings
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2013
Spatio-temporal propagation of wind power prediction errors DOI : 10.1002/we.1527
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2013
From LCAs to simplified models: A generic methodology applied to wind power electricity DOI : 10.1021/es303435e
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2013
Impact of PV forecasts uncertainty in batteries management in microgrids DOI : 10.1109/PTC.2013.6652254
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2013
The value of schedule update frequency on distributed energy storage performance in renewable energy integration DOI : 10.1109/ISGTEurope.2013.6695299
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2013
Forecasting ramps of wind power production with numerical weather prediction ensembles DOI : 10.1002/we.526
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2013
Assessment of wind power predictability as a decision factor in the investment phase of wind farms DOI : 10.1016/j.apenergy.2012.06.064
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2012
A local energy management system for solar integration and improved security of supply: The Nice Grid project DOI : 10.1109/ISGTEurope.2012.6465667
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2012
Evaluating the quality of scenarios of short-term wind power generation DOI : 10.1016/j.apenergy.2011.11.004
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2011
Fast rate of convergence in high-dimensional linear discriminant analysis DOI : 10.1080/10485252.2010.487531
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2010
Forecasting uncertainty related to ramps of wind power production
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2010
Plugin procedure in segmentation and application to hyperspectral image segmentation DOI : 10.1214/10-EJS567
Teaching
Changes in the Electric Power System in the Context of the Energy Transition
Overview - The electric power system is a key component of the energy transition, which is intended to help decarbonize our economy and reduce our dependence on fossil fuels. In this context, nuclear power plays an important role, and renewable energy sources—which are becoming increasingly affordable—are also expected to make a significant contribution. These renewable energy sources pose some challenges due to their dependence on weather conditions, land, and the mineral resources they require. At the same time, France’s nuclear fleet is at a pivotal juncture, with issues surrounding the extension of plant lifespans and the renewal of facilities. Changes in electricity consumption—particularly in electric heating and electric vehicle use—are key issues here, as are the electrification of industry, hydrogen production, and synthetic fuel production, among others. In this context, defining and calculating the environmental and economic costs and benefits of the electric power system is a top priority. This topic is underpinned by complex issues at the intersection of optimization, statistics, economics, electrical engineering, meteorology, politics, and more. Program: Day 1: Electrification in the Energy Transition Course Outline: Sector-by-sector analysis of past, present, and future trends from a carbon-neutrality perspective. Demand trends and electrification across multiple sectors. Introduction to some basic concepts of energy economics, calculation of the LCOE (levelized cost of energy), and cost analysis by energy source. Hands-on exercises using Excel spreadsheets: (1) how to achieve carbon neutrality strategy goals in the building, transportation, and industrial sectors; (2) Calculating the economic cost of an electric power system. Using the Python simulation tool: installation and overview of the tool’s structure; initial hands-on experience with time series data on consumption and renewable energy production. Day 2: Electric Power System Operation and Planning (1/2) Course Outline: Presentation of the challenges posed to the electric power system by the variability of electricity consumption and renewable generation. Presentation of existing flexibility solutions. Mathematical models for simulating the operation and planning of the electric power system. Lab: Presentation of mini-project topics (simulating RTE scenarios, analyzing the role of storage, the nuclear load factor, a highly renewable future, the role of hydrogen, industrial flexibility, electric vehicles, the risks of temperature sensitivity, … ) and formation of groups. First hands-on session using the POMMES tool developed for this course (based on Linopy, a Python package implemented by the PyPSA community) Day 3: Operation and Planning of the Electric Power System (2/2) Course sequence outline: In-depth study. Operation: reserve capacity, cost of flexibility. Lagrange multipliers and interpretation. Planning: sizing flexibility solutions, the concept of system cost, development pace constraints, space utilization constraints, … presentation of past studies (RTE, ADEME, IEA, …). Practical work: continuation of the mini-project. Day 4: Electricity Market and Grids Course Outline: Presentation of the various markets (forward, day-ahead, intraday, reserve, capacity) and their connection to optimization problems (and Lagrange multipliers). Grids: description of transmission and distribution. Planning methods. Developments in the context of the energy transition. Practical work: continuation of the mini-project. Methodology - Teaching Format: Instruction is delivered in the form of: – lectures aimed at presenting the management and planning challenges of the electric power system in the context of the energy transition, as well as the methods for solving them. The various stakeholders and electricity markets are also presented. – hands-on application of the optimization tools presented, which will enable participants to understand the factors that impact the environmental and economic costs of the power system. Several electricity mixes will be presented and studied during this module, but the French or European system will serve as the reference for the practical exercises. These practical exercises will be conducted using Python in conjunction with the Linopy optimization software (also written in Python). The corresponding source code is available here: POMMES
Energy-Efficient Building Renovations
The goal of this week-long course is to provide an overview of the technical, economic, and political issues surrounding the thermal retrofitting of buildings, alternating between lectures and group analysis exercises. The courses will be taught by instructors from various backgrounds. The Scientific and Technical Center for Building (CSTB) and an expert from Enertech will cover the technical aspects: how to model a building’s performance, the technical stages involved in a renovation project, the challenges involved, and the issues surrounding comprehensive renovation. Enertech will share the hands-on experience gained through the Doremi association. Researchers from the École des Mines will present their analysis of public policies: on the one hand, offering economists’ perspectives on the effectiveness of existing public policies (such as the rental ban introduced in the Climate and Resilience Act and Energy Performance Certificates), and on the other, sociologists’ perspectives on the history of the Energy Performance Diagnosis (EPD) and renovation policies. Finally, the floor will be given to stakeholders on the ground who are working to encourage condominium associations to take the step toward renovation and who are well-versed in the drivers and barriers to this necessary transition. Lastly, the central government will present its vision of public policy and the challenges of interministerial coordination. In the practical sessions, students will work in groups to analyze current and proposed public policies based on a simplified technical-economic model of the building stock (written in Python). A ban on renting out homes with poor energy ratings? A ban on gas or oil-fired boilers in renovation projects? A mandatory renovation requirement when refurbishing facades? What levels of effectiveness can be expected from these policies? What would be the cost to the community? To answer these questions, students will have access to a model of the French housing stock and technical-economic models of possible renovation measures. At the end of the week, each group will present the results of its modeling and its analysis of a selected public policy.
Grid-Connected Renewable Energy: Challenges and Prospects
Renewable Energy (RE): Development Prospects in the European Context Structure and Operation of Electric Power Grids Impacts of Decentralized Electricity Generation on Power Grids Connection of Independent Producers to the Distribution Grid Technological Developments in Wind Turbines Mapping, forecasting, and utilization of wind resources Grid-connected photovoltaic systems Solar Energy: Thermodynamic Utilization for Electricity Generation The lectures are delivered by the CEP faculty as well as by guest speakers from key industry players (grid operators, engineering firms, and equipment suppliers).
Energy Systems Engineering (ISE) track
The course is designed to introduce students to the world of energy in general and the related industrial challenges. In their second year, students work on a project related to a current issue. 2015: Potential impact of direct and distributed load shedding on the load curve 2016: Storage technologies to improve the flexibility of the power grid 2017: Large-scale integration of renewables: what are the limits? This project begins with a study trip to a region of the world affected by the issue. In the third year, the elective month consists of three weeks combining industry conferences, site visits, and projects (well-to-wheel, smart grids), as well as a week of hands-on practical work modeling energy systems at the PERSEE laboratory in Sophia-Antipolis. The elective project is selected during the first quarter. It typically takes place at an industrial company—such as an automotive or aerospace manufacturer, an electric utility, gas company, or oil company, an equipment manufacturer, or an engineering firm. The work is carried out under the supervision of an engineer from the company, with guidance from researchers in the School’s Department of Energy and Processes, which has a staff of 150. Some representative elective topics covered in recent years: Analysis of the consequences of a large-scale increase in self-consumption (RTE) Introduction of capacity to electricity markets (EPEX SPOT) R&D on solar hydrogen (Air Liquide Japan) Study of the technical and economic feasibility of a new architecture for a hybrid fuel-cell vehicle (Valeo) Analysis of the environmental and economic potential of new biogas utilization pathways in France (ENEA Consulting) Development of solar PV projects in Africa (Total Energies Nouvelles) Maintenance of ultrasonic meters (GRTgaz) Study of a generalized contribution by loads to maintaining the frequency of a decarbonized European power system with high renewable energy penetration (EDF R&D) Trajectory and performance studies for advanced launch vehicle concepts (CNES) Energy optimization of the Paris-Lyon high-speed rail line (Alstom Transport)
PhD supervision
- 2025 Trajectory optimization for decarbonizing a building stock LAGRANDCOURT Sarah
- 2025 Modeling and calibration methodology for multi-scale building park electricity load curves for evaluating renovation and flexibility scenarios LEMAITRE Clara
- 2024 Integration of CO2 resources into territorial energy planning. BERCHICHE Maria
- 2024 Coupling of smart grids between transmission and distribution networks CHICHE Yoann
- 2023 Decision support methods for connecting medium-voltage direct current solutions to the electricity transmission network. CORNAGGIA Laurent
- 2023 Optimization of planning and operation of a multi-energy system at the scale of an industrial territory KNIBIEHLY Thibaut
- 2023 Optimization method by coupling for energy systems planning HAMBURGER Hugo
- 2022 Decision support method for the development and contracting of green hydrogen production systems. PALMER Owen
- 2022 What place for heat networks in the European energy system in 2050? VRAIN Maxime
- 2022 Prospective methodology for identifying optimal renovation strategies for the residential stock integrating economic cost, carbon footprint, and summer thermal comfort GOESSEL Thibault
- 2021 Assessment of the energy renovation potential of a territory within the framework of massification approaches RIT Martin
- 2021 Modeling the impact on the power system of industrial decarbonization RAILLARD-CAZANOVE Quentin
- 2020 Decision support for the deployment of hydrogen as an energy vector at the territorial scale. JODRY Anaëlle
- 2018 Optimization of Multi-source Data Integration in Short-term Photovoltaic Production Forecasting Models BELLINGUER Kevin
- 2018 Technical-economic optimization of the flexibility mix of an electrical system HEGGARTY Thomas
- 2018 Modeling the evolution of electricity market prices in a context of high renewable energy penetration MAHLER Valentin
- 2016 Towards an integrated approach to supporting territorial energy planning - application to the energy renovation of buildings ROGEAU Antoine
- 2015 Optimization of distribution network planning and operation in the context of high penetration of renewable energy sources GROVER-SILVA Etta
- 2015 Short-term forecasting of smart home electricity demand and distribution networks GEROSSIER Alexis
