PROJECT AREA 01
Integrated HTGR–SCWG–SOEC–SOFC System
Thermodynamic simulation and heat integration of an integrated system for hydrogen and electricity co-production, with a focus on process performance and optimization.
Process Simulation & Engineering
Model. Simulate.
Optimize.
ProcessForge Engineering is the research and engineering portfolio of Mostafa Ghiyami, a Chemical Engineer specializing in process simulation, computational modeling, and AI-driven engineering solutions for energy and chemical processes.
ProcessForge EngineeringSimulation · Modeling · Optimization
Research & Capabilities
Engineering Focus Areas
Combining chemical engineering fundamentals, process simulators, and data-driven methods to understand and improve complex systems.
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Process Simulation
Flowsheet development, thermodynamic modeling, process design and optimization.
H₂
Hydrogen & Clean Energy
Hydrogen production, integrated energy systems and thermochemical conversion.
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AI & Machine Learning
Predictive modeling, hybrid algorithms and data-driven process optimization.
♻
Gasification
Biomass conversion, supercritical water gasification and plasma gasification.
Selected Engineering Work
Simulation & Modeling Projects
Selected areas of project experience. Detailed case studies, process flow diagrams, model assumptions and results can be added as individual project pages.
PROJECT AREA 02
Biomass & Wastewater Gasification
Process modeling of conventional and supercritical water gasification routes, including product gas composition, operating conditions and energy performance.
PROJECT AREA 03
Amine-Based Natural Gas Sweetening
Simulation and analysis of sour gas treatment, examining feed composition, acid gas removal, solvent requirements and process performance.
PROJECT AREA 04
AI-Driven Process Modeling & Optimization
Hybrid machine-learning workflows for predicting process behavior, interpreting operating variables and supporting engineering optimization.
About the Engineer
Mostafa Ghiyami
I am a Chemical Engineer with an MSc from the University of Tehran. My work brings together process simulation, thermodynamic analysis, computational modeling and machine learning, with applications in hydrogen production, gasification, gas processing and clean energy systems.
Alongside research, I undertake independent engineering and programming projects, helping translate process requirements and data into simulation-based analysis and practical modeling solutions.
MScChemical Engineering · University of Tehran
2018–2026Independent simulation & programming projects
Technical Expertise
Software & Methods
Tools and methods applied across process engineering, data analysis and computational research.
Process Engineering
- Aspen Plus
- Aspen HYSYS
- Process simulation & flowsheeting
- Thermodynamic and exergy analysis
- Process optimization
Programming & Data
- Python
- MATLAB
- C#
- SQL
- Microsoft Excel
AI & Modeling
- Machine learning
- TabNet
- Genetic algorithms
- Hybrid data-driven modeling
- Predictive process analysis
Scientific Contributions
Selected Publications
Peer-reviewed research in integrated energy systems, hydrogen production, gasification and AI-assisted process modeling.
2026
Ghiyami, M. (2026). Design and optimization of an integrated HTGR-SCWG-SOEC-SOFC system for co-production of hydrogen and electricity: Thermodynamic simulation and heat integration.
Energy Conversion and Management, 370, 122127.
DOI: 10.1016/j.enconman.2026.122127 ↗2026
Ghiyami, M., & Qeeyami, M. A. (2026). Hybrid thermodynamic and data-driven modeling of hydrogen production from fermentation-derived wastewaters via supercritical water gasification.
Results in Engineering, 32, 111966.
DOI: 10.1016/j.rineng.2026.111966 ↗2026
Ghiyami, M., Hazara, A., & Hazara, R. (2026). Effect of sour gas composition on amine-based gas sweetening: A hybrid simulation-machine learning model.
Array, 30, 100958.
DOI: 10.1016/j.array.2026.100958 ↗2024
Ghiyami, M., Bahramian, A., & Sedaee, B. (2024). Development and performance assessment of a novel multigeneration clean energy system based on biomass-LNG using a dynamic model and supervised learning algorithms.
International Journal of Hydrogen Energy, 66, 10–23.
DOI: 10.1016/j.ijhydene.2024.04.111 ↗2026
Ghiyami, M. (2026). Unveiling operating-regime-dependent interactions in PEM electrolyzers: A multi-stage hybrid AI framework for green hydrogen prediction.
Next Energy, 13, 101116.
DOI: 10.1016/j.nxener.2026.101116 ↗Peer Review & Academic Service
Scientific peer reviewer for research manuscripts in hydrogen production and supercritical water gasification, including reviewing contributions for the International Journal of Hydrogen Energy.
Engineering Services
Have a Simulation or Modeling Project?
Get in touch to discuss your project requirements. I provide independent support in process simulation, computational modeling, data-driven analysis and engineering optimization.
Process simulation & flowsheetingThermodynamic modelingGasification process modelingAI & machine-learning modelsProcess optimizationEngineering data analysis
Project Inquiries
For project orders, technical consultation or collaboration, please contact me directly.
Contact Me to Order a Project ↗Contact
Let's Discuss Your Project
For engineering project inquiries, research collaboration or professional opportunities, feel free to get in touch.
For Project Orders
To request a process simulation, modeling, optimization or programming project, please contact me by email or phone. We can discuss the scope, required data and expected deliverables.