© Candelaria Arpajou

Candelaria Arpajou

Development and implementation of methodologies to optimize the economic and environmental performance of energy systems, in the context of industrial decarbonization projects, and the analysis of prospective hydrogen deployment scenarios within a region

The WiGH Network offers a safe space for women to support one another, discuss professional concerns, and define our roles in the future of the hydrogen and energy sectors. It is fundamental to enlarge and strengthen this network to empower more women and include diverse perspectives when shaping the future of energy.

Research Engineer in Modeling and Optimization of Low-Carbon Energy Systems for Industrial and Territorial Applications at the French Alternative Energies and Atomic Energy Commission (CEA)
Grenoble

I graduated with a degree in Chemical Engineering from the National University of Córdoba (UNC), Argentina, in 2020. I gained experience as a Laboratory Analyst at CEPROCOR-Córdoba and then, in 2021, began a Ph.D. in Mathematical Modelling and Optimization for Hydrogen Production, Transportation, and Storage at the INGAR Institute, supported by a Ph.D. scholarship from the Argentinian National Scientific and Technical Research Council (CONICET). In November 2022, I completed a program in Data Science and Machine Learning, also at the National University of Córdoba. Simultaneously, I sought new opportunities abroad, leading to my current position as a Research Engineer in Modeling and Optimization of Low-Carbon Energy Systems for Industrial and Territorial Applications at CEA-Grenoble, France

María C. Arpajou, Diego G. Oliva, Miguel C. Mussati, Ignacio Schmidhalter, Pio A. Aguirre,

Tatiana Morosuk, Sergio F. Mussati,

Model-based optimization of alkaline electrolysis systems for hydrogen production.

7th International Conference on Contemporary Problems of Thermal Engineering.

CPOTE 2022, 20-23 September 2022, Poland.

Florent Montignac, Diego Larrahondo Chavez, Maria-Candelaria Arpajou, Alain Ruby.

Assessment of hydrogen supply chains based on dynamic bi-objective optimization of costs and greenhouse gases emissions: case study in the context of Balearic Islands.

Energy, 2024.

https://doi.org/10.1016/j.energy.2024.132590.

(https://www.sciencedirect.com/science/article/pii/S0360544224023648)

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