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Peter Samuelsson

KTH Royal Institute of Technology

Sweden

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Research Interests

Petrochemical Engineering

40%

Materials Chemistry

30%

Energy Consumption

40%

Metallurgy

40%

High-temperature Engineering

30%

Life Cycle Assessment

20%

Exergy Analysis

20%

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Articles13

Predicting the Liquid Steel End-Point Temperature during the Vacuum Tank Degassing Process Using Machine Learning Modeling

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Year:

2024

Alloy Design Optimization of Stainless Steel's Performance and Environmental Impact Through Taguchi‐Based Grey Relational Analysis

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Year:

2024

Numerical Analysis of Fluid Flow and Temperature Distributions of O<sub>2</sub>/N<sub>2</sub> Gas Mixtures in AOD Nozzles

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Year:

2023

Appraising the value of compositional information and its implications to scrap-based production of steel

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Year:

2023

Decarbonising the iron and steel industries: Production of carbon-negative direct reduced iron by using biosyngas

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Year:

2023

Towards fossil-free steel: Life cycle assessment of biosyngas-based direct reduced iron (DRI) production process

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Year:

2023

A Proposed Methodology to Evaluate Machine Learning Models at Near-Upper-Bound Predictive Performance—Some Practical Cases from the Steel Industry

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Year:

2023

Prediction of nitrogen behaviour in the AOD process by a time-dependent thermodynamic model

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Year:

2022

Production of Negative-Emissions Steel Using a Reducing Gas Derived from DFB Gasification

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Year:

2021

Energy Consumption and Greenhouse Gas Emissions of Nickel Products

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Year:

2020

Modeling the Effect of Scrap on the Electrical Energy Consumption of an Electric Arc Furnace

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Year:

2020

Interpretable Machine Learning – Tools to Interpret the Predictions of a Machine Learning Model Predicting the Electrical Energy Consumption of an Electric Arc Furnace

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Year:

2020

Energy Consumption and Greenhouse Gas Emissions During Ferromolybdenum Production

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Year:

2020

Collaborators4

Rutger Fleming Björnson Gyllenram

KTH Royal Institute of Technology

SWEDEN

Pär Göran Jönsson

KTH Royal Institute of Technology

SWEDEN

Wenjing Wei

KTH Royal Institute of Technology

SWEDEN

Andreas Feldmann

KTH Royal Institute of Technology

SWEDEN

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