Message > Open PhD position: "Optimization of Wind-to-Hydrogen supply chain under uncertainty"

  • Forum 'Emplois' - Sujet créé le 19/06/2017 par Safsar (1079 vues)

Le 19/06/2017 par Safsar :

Hydrogen is the only carbon-free storable fuel. When combined with renewable energy sources, it has the potential to become one of the main contributors of a sustainable future as a green energy vector. 

This PhD thesis will focus on a Wind-to-Hydrogen (W2H2) system where hydrogen is produced through electrolysis of water and electricity is provided by a wind farm. After production, hydrogen should be stored, transported and distributed in an optimal way, given the numerous technology alternatives available.

In this system, there will be two decision makers: wind farm operator and hydrogen producer with conflicting interests in a hierarchical setting. This type of problems is usually modeled as a Stackelberg game (bilevel programming) in the literature and it will be direction of this thesis as well.

Uncertainties of the system notably come from electricity generation (due to changing weather conditions), variability of energy prices in the day-ahead spot market and demand fluctuation. These uncertainties will be addressed in the modelling part.

We are offering a 3-year CIFRE contract PhD thesis in collaboration with PersEE Innovation, a Paris based startup company (Sezin Afsar) and Laboratory CERMICS, Ecole des Ponts Paris Tech (Michel De Lara). The thesis will be based on modeling and solving different versions of this problem described above. Different types of real-life or realistic data will be available for testing.

Keywords: supply chain management, wind energy, hydrogen, stochastic optimization, bilevel programming

Required Technical Skills:

  • Master’s degree or equivalent in Industrial Eng, Computer Science, Applied Math or any relevant subject
  • Experience in Python/C/C++ and solvers such as GAMS, CPLEX or Gurobi
  • General knowledge of mathematical programming and optimization. Expertise in stochastic and bilevel programming is an advantage.
  •  Familiarity with at least one of relevant fields (energy systems, renewable energy, scheduling, supply chain management…)

Behavioral Skills

  • Adaptability to team work
  • Curiosity and enthusiasm to learn
  • Flexibility
  • Being open to new ideas and innovations
  • Willingness to contribute to a cleaner future
  • Speaking French is a plus

Candidates may send their CV, transcript, motivation letter and references to until July 15th, 2017. Start date will be October 2017 or later.

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