Green Energy systems (HYDROGEN)"
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.
HYDROGEN project aims to handle dynamic management of a decentralized
Power-to-Hydrogen system 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 the tactical decision level that encompasses
several issues: production scheduling, transportation policies, inventory
management, safety stock sizing... The objectives and constraints of
different stakeholders along with their relationships with each other at
varying time granularity (year, month, day etc.) will be defined. The most
suitable modelling approaches for each problem will be combined with
efficient solution methodologies.
Uncertainties of the system notably come from electricity generation (due
to varying natural conditions), variability of energy prices in the energy
spot market and demand fluctuation. These uncertainties will be addressed
in the modelling part.
We are offering a 3-year PhD thesis -expected to be ANR funded- at PersEE
Innovation, a Lyon based startup company (Sezin Afsar), in collaboration
with Toulouse Laboratoire de Génie Chimique, CNRS (Catherine Azzaro-Pantel)
and Toulouse Business School (Gilles Lafforgue). The thesis will be based
on modeling and solving different problems described above. Different types
of real-life or realistic data will be available for testing.
Keywords: supply chain management, renewable energy, hydrogen, stochastic
optimization, multi-objective 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,
renewable energy, scheduling, 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 July 31th, 2018. Start date will be November 2018
in Lyon or later.
Sezin Afsar, PhD
Optimization Scientist
+33140050403 <https://qui-appele.com/villes/8/tel/33140041000> |
www.pers-ee.com | Paris, France
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