Planning and Operation of Green Hydrogen Production Systems: A Robust Approach

• Grant number: 24/19222-8
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: December 01, 2024
• End date: May 31, 2027
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Marcos Julio Rider Flores
• Grantee: Luis Alexsander Oroya Alvarado
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition, AP.CCD

Abstract

As global efforts focus on reducing carbon emissions, green hydrogen, produced from renewable energy sources like wind and solar power, has emerged as a promising solution to decarbonize multiple industrial sectors. However, the inherent variability of renewable energy and the complexity of hydrogen production systems present significant challenges. This doctoral project aims to develop robust models for the planning and operation of green hydrogen production systems, addressing uncertainties in renewable energy resources and fluctuating energy demands. In addition to wind and solar power generation, the study will incorporate battery energy storage systems (BESS) and hydrogen storage tanks (HST). It will also explore various scenarios, including instances where the hydrogen production plant can or cannot receive energy from the main grid, as well as cases where distributed energy resources (DERs) are geographically dispersed across multiple nodes in a small distribution system. In this case, the analysis will consider the steady-state operation of the distribution system. In this project, the AMPL language will be used for modeling hydrogen production systems, and Python will be employed for data processing and visualization, allowing for an in-depth analysis of the obtained results. This research seeks to advance the hydrogen economy by facilitating the integration of clean technologies and supporting the transition toward a more sustainable energy matrix.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

OROYA, LUIS A.; CORTEZ, JUAN CARLOS; TERADA, LUCAS ZENICHI; SILVA, JESSICA A. A.; RIDER, MARCOS J.. Distributionally robust optimization for green hydrogen plant planning considering extreme scenarios. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, v. 133, p. 12-pg., 2025-05-01. (21/11380-5, 24/19222-8, 23/05708-3)