Introduction

In today's rapidly evolving process industries, advanced Reaction Engineering, Process Intensification, Digital Twin Technology, Computational Modeling, and Sustainable Manufacturing have become critical drivers of operational excellence. Kinetics and Reactor Modeling Training Course is designed to equip professionals with the knowledge and practical skills required to analyze reaction mechanisms, develop kinetic models, optimize reactor performance, and implement data-driven decision-making strategies. Participants will gain comprehensive exposure to Chemical Reaction Kinetics, Catalytic Processes, Machine Learning for Process Optimization, Process Simulation, and Advanced Reactor Design techniques used across chemical, petrochemical, pharmaceutical, energy, and specialty chemical industries.

The program combines theoretical foundations with real-world industrial applications, enabling participants to solve complex reaction engineering challenges through modern modeling tools and simulation platforms. Emphasis is placed on Process Digitalization, Artificial Intelligence in Chemical Engineering, Predictive Analytics, Sustainability Optimization, Carbon Reduction Technologies, and Industry 4.0 Integration. Through practical case studies, simulation exercises, and industrial examples, learners will develop competencies in reactor scale-up, parameter estimation, model validation, process safety assessment, and performance optimization, ensuring improved productivity, efficiency, and profitability in modern manufacturing environments.

Programme Curriculum

Kinetics and Reactor Modeling Training Course

Introduction

Course Duration

5 days

Course Objectives

Upon completion of this training, participants will be able to:

Understand advanced Chemical Reaction Kinetics principles and applications.
Develop accurate Kinetic Models for industrial reaction systems.
Apply Data Analytics and Machine Learning techniques in kinetic parameter estimation.
Design and optimize Batch, CSTR, and Plug Flow Reactors.
Utilize Digital Twin Technology for reactor performance monitoring.
Perform Process Simulation and Modeling using industry-standard software.
Evaluate Catalytic Reaction Systems and catalyst performance.
Conduct Reactor Scale-Up and Scale-Down Studies effectively.
Implement Predictive Maintenance strategies through process modeling.
Assess Process Safety and Risk Management in reaction systems.
Optimize reactor operations for Energy Efficiency and Sustainability.
Integrate Industry 4.0 technologies into reaction engineering workflows.
Develop solutions for Net-Zero Emissions and Green Manufacturing initiatives.

Target Audience

Chemical Engineers
Process Engineers
Production Engineers
Research & Development Scientists
Process Simulation Specialists
Plant Operations Managers
Petrochemical and Refinery Professionals
Pharmaceutical and Specialty Chemical Industry Professionals

Course Modules

Module 1: Fundamentals of Chemical Reaction Kinetics

Reaction rate theories and mechanisms
Elementary and complex reactions
Rate law development and interpretation
Temperature dependence and Arrhenius equation
Kinetic parameter estimation techniques
Case Study: Kinetic analysis and optimization of ammonia synthesis reactions.

Module 2: Advanced Reaction Mechanisms and Catalysis

Homogeneous and heterogeneous catalysis
Catalyst characterization techniques
Surface reaction kinetics
Catalyst deactivation and regeneration
Selectivity and yield optimization
Case Study: Catalytic cracking optimization in petroleum refining.

Module 3: Reactor Design Fundamentals

Batch reactor design principles
Continuous Stirred Tank Reactor (CSTR) modeling
Plug Flow Reactor (PFR) analysis
Reactor sizing and residence time calculations
Conversion and performance evaluation
Case Study: Reactor selection for pharmaceutical API production.

Module 4: Computational Reactor Modeling

Mathematical model development
Mass and energy balance formulation
Numerical solution techniques
Model calibration and validation
Sensitivity and uncertainty analysis
Case Study: Simulation of exothermic polymerization reactors.

Module 5: Process Simulation and Digital Twins

Process simulation workflows
Digital twin architecture
Real-time process monitoring
Predictive analytics integration
Performance optimization strategies
Case Study: Digital twin deployment for petrochemical reactor monitoring.

Module 6: Machine Learning and AI in Reaction Engineering

AI-driven process optimization
Machine learning for kinetic modeling
Data-driven reactor performance prediction
Advanced process control applications
Industrial AI implementation frameworks
Case Study: AI-based optimization of catalytic reactor operations.

Module 7: Reactor Scale-Up, Safety and Sustainability

Scale-up methodologies
Process safety assessment
Hazard identification and mitigation
Sustainable reactor design concepts
Carbon footprint reduction strategies
Case Study: Safe scale-up of hydrogen production reactors.

Module 8: Industrial Applications and Emerging Technologies

Industry 4.0 applications in chemical processing
Smart manufacturing technologies
Advanced reactor configurations
Green chemistry and circular economy
Future trends in reaction engineering
Case Study: Small Modular Reactor (SMR)-inspired process intensification concepts for energy-efficient manufacturing.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Reaction rate modeling Mass transfer effects Reactor design equations Process optimization

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000