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Unique Simulator for E-Fuel 1 Electro Fuel Plant

  • Client:

    Nordic Electrofuel AS
  • Field:

    NEF E-Fuel 1

Nordic Electrofuel AS (NEF) and Billington Process Technology AS (BPT) forge collaboration in sustainable aviation fuel production. In an ongoing partnership, Nordic Electrofuel AS (NEF) and Billington Process Technology AS (BPT) are jointly developing steady-state and dynamic simulation models for the complete electro fuel pilot plant E-Fuel 1, dedicated to producing Sustainable Aviation Fuel (SAF).

In brief:

The simulator encompasses all process and control units, spanning from the feed stream to product lines, with major units including the syngas reactor system, alkaline electrolysis, and the Fischer Tropsch reactor system. The feed stream originates as a point source emission from the local ferromagnetic industry in Porsgrunn, Norway.

The steady-state simulator performs mass and energy balance calculations for the entire plant, while the dynamic simulator handles operational scenarios such as startup, shutdown, load changes, abnormal situations, and system controllability.

UniSim Design serves as the foundation for both the steady-state and dynamic simulation models, with BPT-SimApps extensions seamlessly integrated. This includes fit-for-purpose models of the pressurized electrolysis (BPT-ECX) and high-fidelity reactor models of the Fischer Tropsch system (BPT-FT). The BPT-FT and BPT-ECX unit operations function in both steady-state and dynamic modes. Additionally, the BPT-EXT Excel add-in automates simulation runs, data extraction, and facilitates easy comparison of steady-state and dynamic simulation results.

The NEF E-fuel 1 plant

NEF's inaugural plant, located at Herøya Industrial Park in Porsgrunn, Norway, is named E-fuel 1 and is designed for a yearly production capacity of 10 million liters of synthetic fuels. This will lead to an annual reduction of the CO2 industrial footprint by 25,000 tons. NEF's overall plan outlines scaling up the production of synthetic fuels.

 

 

Benefits and key findings:
  • Steady-state and dynamic process models offer a comprehensive lifecycle approach
  • Utilized for early design, control system verification, and operator training simulators
  • Enables detailed and precise modeling of the electrolyzer system
  • Provides highly accurate steady-state and dynamic reactor models, enhancing early-stage design and safeguarding return on investments
  • Allows for varying α-factor throughout the reactor and tunable heat transfer, enhancing flexibility and efficiency throughout operations

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