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Refractory-Based Thermal Energy Storage for Industrial Process Heat: One-Dimensional Modeling, Control, and Optimization: Article No. 132078

Research output: Contribution to journalArticlepeer-review

Abstract

The variable and weather-dependent output of wind and solar power plants present a substantial challenge for planning and operating electricity-systems, particularly in the absence of cost-effective and dispatchable energy storage technologies. This study investigates a high-temperature, electrically heated, refractory-based thermal energy storage (RTES) system that stores electrical energy as sensible heat in dense ceramic bricks over the 950-1800 degrees C range. The stored heat can be discharged as a controlled hot-gas stream for industrial heating, fuel substitution in high-temperature processes, or electricity generation. The main novelty is a comprehensive modelling, control, mapping, and optimization framework that integrates one-dimensional transient gas-solid heat transfer, fan-assisted discharge, bypass-flow regulation, reheating logic, fan-power evaluation, insulation-loss assessment, and genetic-algorithm-based design optimization. The model uses feedback from outlet temperature and delivered power to regulate discharge, while a two-stage genetic algorithm optimizes brick-channel geometry, gas-flow operation, and multilayer insulation thicknesses. Storage capacities below 50 MWh and discharge powers of 5-30 MW are analyzed to evaluate hold time, thermal delivery, fan-power penalty, heat loss, state-of-charge evolution, and indicative capital cost. Results demonstrate that optimized and well-insulated refractory-based thermal energy storage units can provide stable, efficient, and repeatable heat delivery over multiple discharge cycles. The generated performance and cost maps support modular refractory thermal energy storage as a practical option for large-scale integration of wind and solar generation and for high-temperature industrial process heat.
Original languageAmerican English
Number of pages23
JournalApplied Thermal Engineering
Volume303
Issue numberPart 1
DOIs
StatePublished - 2026

NLR Publication Number

  • NLR/JA-5700-98857

Keywords

  • electrified thermal energy storage
  • fan-assisted bypass control
  • genetic algorithm optimization
  • high-temperature refractory thermal energy storage
  • industrial process heat
  • multilayer insulation cost optimization

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