AIRO Young Opportunity
Expires
16 Aug 2019
Institution
PersEE Innovation
Country
France
Description
Hydrogen is the only carbon-free storable fuel. When combined with
renewable energy sources (wind, solar, hydro, wave and tidal), it has the
potential to become one of the main contributors of a sustainable future as
a green energy vector. The project aims to handle dynamic management of a
decentralized Power-to-Hydrogensystem where electricity is converted into
hydrogen fuel for a zero-emission mobility. Multiple economic agents with
conflicting interests are involved in the renewable electricity-based
hydrogen supply chain.
This PhD thesis will focus on bilevel modeling the Stackelberg game played
between two decision makers: a renewable energy supplier and a hydrogen
asset operator. The former competes in a day-ahead energy spot market and
offers other services (such as ancillary services) besides energy while
facing an uncertain energy generation, changing spot prices and a varying
demand. The latter focuses on producing hydrogen while respecting
operational constraints and limitations at a minimum cost.
Bilevel programs are inherently hard to solve, especially under
uncertainty. Therefore, there will be a strong emphasis on finding
efficient exact and/or heuristic solution methodologies. Different types of
real-life or realistic data will be available for testing.
We are offering a 3-year CIFR PhD thesis at PersEE Innovation, a Lyon-based
startup company (Sezin Afsar), in collaboration with Ecole des Ponts
ParisTech (Michel De Lara).
Keywords: supply chain, renewable energy, hydrogen, stochastic
optimization, bilevel optimization, game theory
Required Technical Skills:
• Master’s degree or equivalent in Industrial Eng, Computer Science,
Applied Math or any relevant subject from a European institution
• Experience in Python/C/C++ and solvers such as GAMS, CPLEX or Gurobi
• General knowledge of mathematical programming and optimization. Expertise
in stochastic and integer programming is an advantage.
• Familiarity with at least one of relevant fields (energy systems and
markets,
renewable energy, supply chain management, metaheuristics…)
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 saf@pers-ee.fr until 16/08. Start date will be 01/12
renewable energy sources (wind, solar, hydro, wave and tidal), it has the
potential to become one of the main contributors of a sustainable future as
a green energy vector. The project aims to handle dynamic management of a
decentralized Power-to-Hydrogensystem where electricity is converted into
hydrogen fuel for a zero-emission mobility. Multiple economic agents with
conflicting interests are involved in the renewable electricity-based
hydrogen supply chain.
This PhD thesis will focus on bilevel modeling the Stackelberg game played
between two decision makers: a renewable energy supplier and a hydrogen
asset operator. The former competes in a day-ahead energy spot market and
offers other services (such as ancillary services) besides energy while
facing an uncertain energy generation, changing spot prices and a varying
demand. The latter focuses on producing hydrogen while respecting
operational constraints and limitations at a minimum cost.
Bilevel programs are inherently hard to solve, especially under
uncertainty. Therefore, there will be a strong emphasis on finding
efficient exact and/or heuristic solution methodologies. Different types of
real-life or realistic data will be available for testing.
We are offering a 3-year CIFR PhD thesis at PersEE Innovation, a Lyon-based
startup company (Sezin Afsar), in collaboration with Ecole des Ponts
ParisTech (Michel De Lara).
Keywords: supply chain, renewable energy, hydrogen, stochastic
optimization, bilevel optimization, game theory
Required Technical Skills:
• Master’s degree or equivalent in Industrial Eng, Computer Science,
Applied Math or any relevant subject from a European institution
• Experience in Python/C/C++ and solvers such as GAMS, CPLEX or Gurobi
• General knowledge of mathematical programming and optimization. Expertise
in stochastic and integer programming is an advantage.
• Familiarity with at least one of relevant fields (energy systems and
markets,
renewable energy, supply chain management, metaheuristics…)
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 saf@pers-ee.fr until 16/08. Start date will be 01/12