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Tristan Rigaut

PhD in applied mathematics

tristan (dot) rigaut (at) gmail (dot) com
github.com/trigaut
trigaut.github.io
Paris
CV Français

 
Goal

Find real problems
State a mathematical problem
Find an algorithmic solution
Implement the solution
Solve the problem
Do it again

Experiences

Efficacity,research engineer, PhD
Efficacity, PhD student
Efficacity, research engineer
Polytechnique Montreal, intern

Education

Université Paris Est, PhD
Ecole des Ponts, Diplôme ingénieur

Ongoing personal projects

Parametric optimization solver
JuliaOpt contributions
JuliaStochOpt contributions

Programmer toolbox

Languages

French
English proficient
Español escolar


Random things I like


Description
 

The main focus of my researches is stochastic optimization. I currently work in a R&D company named Efficacity. Our aim is to support actors, from industry and public sector, where they can make a change for cities energy efficiency. I develop methods to optimize energy systems in real time in the presence of uncertainty. I applied these methods mainly to sizing and control of local energy systems with renewables. My PhD thesis advisor in stochastic optimization was Jean Philippe Chancelier from CERMICS. My advisor for models calibration was Frédéric Bourquin from IFSTTAR.

Publications
 
  1. PhD thesis, Time Decomposition Methods For Optimal Management Of Energy Storage Under Stochasticity (Thesis) (Defense slides)
  2. P. Carpentier, J-Ph. Chancelier, M. De Lara, T. Rigaut, Algorithms for two-time scales stochastic optimization with applications to long term management of energy storage (Working paper) (preprint)
  3. P. Carpentier, J-Ph. Chancelier, M. De Lara, T. Rigaut, Time Blocks Decomposition of Multistage Stochastic Optimization Problems (Submitted) (preprint)
  4. A. Iovine, T. Rigaut, G. Damm, E. De Santis, M. D. Di Benedetto, Power Management for a DC MicroGrid integrating Renewables and Storages (Published) (article)
  5. T. Rigaut, P. Carpentier, J-Ph. Chancelier, M. De Lara, J. Waeytens, Stochastic Optimization of Braking Energy Storage and Ventilation in a Subway Station (Published) (article)
Conference talks
 
  1. ICSP, Trondheim, Norway, 2019 Algorithms for two time scales stochastic dynamic optimization - with applications to long term management of energy storage (slides)
  2. PGMO Days, Paris, France, 2018 Algorithms for two time scales stochastic dynamic optimization - with applications to long term management of energy storage (slides)
  3. PGMO Days, Paris, France, 2017 Two time scales stochastic dynamic optimization - Managing energy storage investment, aging and operation in Microgrids (slides)
  4. Optimization for Energy Management - IETR AUT seminar, Rennes, France, 2017 Two time scales stochastic dynamic optimization - Managing energy storage operation, aging and investment (slides)
  5. Smart Energy and Stochastic Optimization (SESO), Paris, France, 2017 Two time scales stochastic dynamic optimization — Managing energy storage investment, aging and operation (slides)
  6. Workshop on Variational and Stochastic Analysis, Santiago de Chile, Chile, 2017 Two-scale stochastic dynamic optimization — Application to energy storage management in subway stations (slides)
  7. PGMO days, Palaiseau, 2016 Energy efficiency investments and management for subway stations (slides)
  8. International conference on stochastic programming (ICSP), Buzios, Brazil, 2016 Subway stations energy and air quality management (slides)
  9. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), Hersonissos, Greece, 2016 Subway stations energy and air quality management (site)
  10. Smart Energy and Stochastic Optimization (SESO), Paris, France, 2016 Subway stations energy and air quality management (slides)
  11. Transportation Research Arena (TRA), Warsaw, Poland, 2016 Model Predictive Control for Energy and Climate Management in a Subway Station’s Thermo-electrical Microgrid
  12. Smart Energy and Stochastic Optimization (SESO), Paris, France, 2015 Optimization of a subway station microgrid (slides)
Teaching
 
  1. Computer session at SESO winter school, Paris, France, 2016 (practical work)
  2. Stochastic Dynamic Programming, Universidad Tecnica Federico Santa Maria (UTFSM), Valparaiso, Chile. 2017 (slides)
Communications
 
  1. Simurex, Porticcio, France, 2015 (slides)
  2. National Scientific Workshop on Micro and Smart grid, Paris, France, 2017 (poster)
  3. 4 min presentation of my PhD thesis in "La méthode scientifique - La recherche montre en main" on french radio France Culture (link)