Numerical Modeling & Size Optimization of Thermal Energy Storage for Iron & Steel Production

Research output: NLRPresentation

Abstract

Iron and steel production are responsible for 90 million MtCO2 per year in the United States. Hydrogen direct reduction of iron (H2DRI) is a promising pathway for a more sustainable iron production than commercially deployed technologies which rely on natural gas. The H2DRI process requires hydrogen at a temperature of up to 950 degrees C fed into a reduction furnace to produce pellets or briquettes that are used in the downstream iron and steelmaking process. In this work, we propose to use an electrical thermal energy storage (ETES) system, that can use renewable electricity to store high-temperature heat and dispatch it upon demand. Such a system can buffer the H2DRI plant from the variability of electricity prices by charging during curtailment and running the plant from storage during times of peak electricity price. We have developed heat transfer models for two different ETES systems that can be used to heat up hydrogen to the required temperatures: a particle-based ETES and a firebrick ETES. These models are used to evaluate the performance of such a system and support the sizing and preliminary cost estimation. The preliminary results using both models show that designing ETES systems for an industrial-scale H2DRI furnace is feasible. The firebrick ETES system has limited operational duration, which might limit the price buffering effect unless significantly oversized. The particle ETES system heat exchanger has industry-feasible dimensions, but its storage capacity would be decided upon the number of particle storage silos.
Original languageAmerican English
Number of pages21
DOIs
StatePublished - 2025

Publication series

NamePresented at the 19th International Conference on Energy Sustainability, 8-10 July 2025, Westminster, Colorado

NLR Publication Number

  • NLR/PR-5700-95848

Keywords

  • ETES (electrical thermal energy storage)
  • H2DRI (hydrogen direct reduction of iron)
  • numerical model
  • particle ETES
  • refractory ETES

Fingerprint

Dive into the research topics of 'Numerical Modeling & Size Optimization of Thermal Energy Storage for Iron & Steel Production'. Together they form a unique fingerprint.

Cite this