@misc{fbdfcd6ad2b14c2aa3ff81fe059c02a7,
title = "Optimal Wind Turbine Design for H2 Production",
abstract = "NREL and industrial partners GE and Nel seek to advance affordable green hydrogen production by optimizing wind turbine design specifically for hydrogen production and validating designs using NREL's ARIES facilities. This project will couple wind turbine, wind plant, solar plant, and electrolyzer models to predict hydrogen production from variable, renewable power sources. It will then use gradient-based optimization with exact-analytic gradients to optimize wind turbine rotor diameter, hub height, and power rating for optimal hydrogen production. Finally, it will validate the optimal turbine designs using the ARIES research platform, where it will compare a baseline turbine to the optimal design for a variety of scenarios and resources.",
keywords = "electrolyzer, hybrids, hydrogen production, hyrbrid, wind energy",
author = "Chris Bay and Andrew Stanley and John Jasa and Dakota Potere-Ramos and Daniel Leighton and Jen King",
year = "2022",
language = "American English",
series = "Presented at the U.S. Department of Energy (DOE) Hydrogen Program 2022 Annual Merit Review and Peer Evaluation Meeting (AMR), 6-8 June 2022",
type = "Other",
}
