Process Modeling
Evidence-based models for complex operations
PROCESS ENGINEERING CONSULTANCY
We solve challenging process problems in the chemical and energy industries through rigorous modeling, simulation, and deep separation expertise.
ABOUT MLPI
“Precise, practical answers
where expertise matters.”
ML Process Innovation is a technology-driven consultancy established to connect accumulated process engineering research with industrial practice. We work closely with clients to develop designs and improvements that can be implemented in the field.
CORE CAPABILITIES
Evidence-based models for complex operations
Specialized designs beyond conventional separation
Actionable improvements for energy and performance
WHAT WE SOLVE
We deliver analysis tailored to each process and objective—not generic answers. From problem definition to modeling, optimization, and design improvement, every step is connected.
We build reliable models from process data and operating conditions to quantify performance and risk before changes are made.
We propose tailored process configurations for azeotropic, close-boiling, and other separation challenges beyond conventional approaches.
We analyze operating variables and energy flows together to balance productivity, energy use, and operational stability.
From refrigerant reclamation to carbon capture, we support niche process challenges from problem definition through improvement design.
DEEP TECH, PRACTICAL VALUE
ML Process Innovation focuses on advanced distillation and separation, process modeling, and optimization. Deep specialization and a streamlined structure enable faster, more flexible technical support.
INDUSTRIES WE SERVE
ENGINEER TRAINING EXPERIENCE
The founder and principal consultant has delivered practical training for engineers in Korea and abroad across distillation, process simulation, heat integration, and process control.
FOUNDER’S PROJECT EXPERIENCE
Disclosure: These are the founder’s individual project credentials and are not presented as corporate project credentials of ML Process Innovation.
HOW WE WORK
Clarify the challenge and project objectives.
Build a process model grounded in data.
Identify critical variables and bottlenecks.
Find the optimum within practical constraints.
Deliver actionable designs and improvements.
START A CONVERSATION
Tell us about the process challenge and your project objectives.
We will review them and recommend an appropriate path forward.
Send us a brief description of the process, current challenge, and project objective.
info@MLEEprocess.com ↗