Dataset for the publication "Eco-friendly ironmaking by biomass CO2 gasification: Process simulations for ecological and economic evaluation of CO2 recycling in direct reduction ironmaking"

Dataset description

This dataset contains the simulation results and data evaluations for the journal publication "Eco-friendly ironmaking by biomass CO2 gasification: Process simulations for ecological and economic evaluation of CO2 recycling in direct reduction ironmaking" by Florian J. Müller, Stefan Jankovic, Josef Fuchs, Diana Dimande, Stefan Müller, and Franz Winter. That journal publication was accepted for publication in Energy Conversion and Management on the 7th of October 2025 and includes a link to this dataset.

Context and methodology

Eight mass and energy balances in IPSEpro 8.0 were created to investigate different direct reduction ironmaking routes. The mass and balancing data were exported from IPSEpro and analyzed in Excel.

• Two routes titled NGR-DRI show a classical process with Natural Gas Reforming as a benchmark process.
• Six novel routes show how Biomass CO2 Gasification can replace Natural Gas Reforming. Those routes are called BCG-DRI.

Explanations and interpretations of these data are available in the journal publication.

Technical details

The data consist of three files:

• Two PNG files that show how the mass and energy balances for NGR-DRI and BCG-DRI are organized in IPSEpro.
  • These files contain the names of relevant streams and are necessary for understanding the detailed stream data in Excel.
• One XLSX file that contains all raw and interpreted data.
  • This file contains stream data, techno-economic evaluations, carbon footprint evaluations, and figures.

Further details

The journal publication is meant to be understood on its own and is supported by this dataset. Therefore, you are highly encouraged to seek out the journal publication first before trying to interprete this dataset. The journal publication also provides further context, additional data, and properly formatted citations to all relevant literature, which were only given briefly in the XLSX. The date of access for web-based sources was generally in the first half of 2024, but more details are also available in the journal article. Further explanations on how to use the xlsx are given on the READ_ME sheet of the XLSX file.