Seonggyun Kim
seonggyun.kim@outlook.com
| +82 10 4142 0178 | Seoul, South Korea |
www.linkedin.com/in/seonggyunkim
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SUMMARY
Chemical engineering graduate passionate about industry decarbonization and sustainable energy solutions. Experienced in process simulation, numerical modelling, and techno-economic analysis, with hands-on research expertise in carbon capture processes and hydrogen economy. Strong background in process optimization, energy storage, and industrial-scale applications of low-carbon technologies.
EDUCATION
KTH Royal Institute of Technology
Present
M.Sc., Chemical Engineering for Energy and Environment
Stockholm, Sweden
- Thesis: Dynamic reactor modeling and operational optimization of flexible e-methanol production.
- Fields of interest: Industrial energy processes, combined heat and power, process modelling and optimization, energy storage and conversion, industry decarbonization, carbon capture, and utilization.
Hanyang University
Feb. 2023
B.S., Chemical Engineering
Seoul, South Korea
- Thesis: Simulation and optimization of MDEA-based CO₂ capture process using Aspen HYSYS.
- Fields of interest: Thermodynamics, Reaction engineering, Process optimization.
WORK EXPERIENCE
AVEVA
Sep. 2024 – Nov. 2024
Process Simulation Intern | Solver/Thermo Team, R&D Aveva Process Simulation
Lake Forest, California (Remote)
- Expanded the thermodynamic database for AVEVA Process Simulation, enhancing industry adoption of advanced carbon capture technologies (Benfield process, AMP-PZ solvent).
- Developed electrolyte-NRTL fluid/reaction models for K₂CO₃–CO₂–H₂O and AMP–PZ–CO₂–H₂O systems.
- Conducted thermophysical property regression using Python scripts to align with experimental data.
- Built process simulation files for headless testing and prepared technical documents on carbon capture processes.
Fraunhofer UMSICHT
Sep. 2022 – Feb. 2023
Research Assistant | Department of Low Carbon Technologies
Oberhausen, Germany
- “Ammonia to Hydrogen” project: a system-level analysis of ammonia decomposition process for hydrogen production.
- Designed and optimized an Aspen PLUS process simulation for ammonia-to-hydrogen scenarios with techno-economic evaluation.
- Assembled and tested an electrically heated fixed-bed reactor for ammonia decomposition, optimizing temperature profiles based on activated carbon packing.
SUMMER SCHOOLS & TRAINING
International Training School on The Role of CCUS in Industrial Decarbonization
Jul. 2025
University of Zaragoza
Jaca, Spain
- Attended as a member of COST Action TrANsMIT (CA21127).
- Lectures and workshops on CCUS for industrial decarbonization, covering various technologies and sectors.
Nanyang Technological University
Jul. 2018
Summer Exchange Program
Singapore
- Completed “Introduction to Energy” course.
ACADEMIC PROJECTS
- Built steady-state process model and dynamic reactor model in Aspen Dynamics for Power-to-Methanol process.
- Developed MILP optimization framework integrating dynamic constraints to determine optimal operating schedules against Swedish electricity prices (2019–2023).
- Achieved cost reductions up to 24.5% through flexibility-aware scheduling during high price volatility periods.
- Modeled MEA-based carbon capture and CO₂ hydrogenation processes using Aspen Plus V14.
- Evaluated economic feasibility for storage and utilization scenarios in Sweden's cement (Slite) and pulp (Korsnäs) industries.
- Led methanol production process design, optimizing kinetic models and reporting levelized costs for breakeven analysis.
- Designed a green ammonia synthesis process integrating solar hydrogen production in AVEVA Process Simulation.
- Optimized heat integration using high- and low-pressure steam, comparing EAOC and NPV against pipeline transport.
- The simulation and technical report entries in the three-part project won “Best Overall” prize in Europe.
- Investigated scCO₂ extraction for recovering rare earth elements and heavy metals from coal fly ash, ores, and batteries.
- Demonstrated industrial potential with recovery rates up to 97% for uranium and 90% for rare earth elements.
- Assessed the technology readiness level (TRL 4) and selectivity challenges for industrial implementation.
- Conducted a Preliminary Hazard Analysis (PHA) and What-if analysis on an existing gasification plant at KTH.
- Provided risk assessments and recommendations for process safety enhancements.
- Thermodynamic analysis of the system components (compressors, turbines, heat exchangers, and a drier).
- Presented graphical results from pinch analysis and heat exchange calculations.
- Economic analysis based on different scenarios varying electricity, fuel, and green certificate prices.
- Developed Aspen HYSYS simulations for process optimization and sensitivity analysis.
- Verified the relationship between absorber L/G ratio, CO₂ recovery, lean loading, and specific reboiler duty.
- Optimized NRTL parameters to accurately calculate liquid-liquid equilibria using MATLAB.
- Achieved improved accuracy by adding a linear term to the τ term in the conventional model.
- Estimated energy consumption of CO₂ compression and refrigeration using Lee‑Kesler equation of state programmed in MATLAB.
- Optimized compression processes for high‑pressure storage and low‑pressure transport pathways.
- Developed a face recognition machine learning algorithm in MATLAB using PCA and SVD.
- Trained on Yale_B dataset and successfully identified faces outside the training set.
- Applied dimensionality reduction and pattern recognition techniques for real‑world image data.
COMPUTER SKILLS
Programming: MATLAB, Python, Fortran, MS Excel VBA (Intermediate level); MS Visual C++, C (Basic level)
Application: AVEVA Process Simulation, Aspen HYSYS, Aspen PLUS, COMSOL; LaTeX, Typst, MS Office Suite
LANGUAGES
- Korean: Native
- English: Proficient
- Swedish: Beginner
OTHER
- Completed military service in Republic of Korea Air Force Band (Mar. 2019 – Jan. 2021)