Module #1 Introduction to Process Optimization Overview of process optimization, importance, and applications in chemical engineering
Module #2 Process Optimization Fundamentals Definitions, types, and benefits of process optimization; optimization terminology
Module #3 Process Modeling and Simulation Introduction to process modeling, types of models, and simulation tools (e.g., Aspen Plus, COMSOL)
Module #4 Optimization Problem Formulation Defining optimization problems, objective functions, constraints, and decision variables
Module #5 Linear Programming (LP) Basics Introduction to LP, graphical method, and Simplex algorithm
Module #6 Linear Programming Applications LP applications in chemical engineering, including blending, allocation, and scheduling
Module #7 Integer Programming (IP) and Mixed-Integer Programming (MIP) Introduction to IP and MIP, branch-and-bound method, and applications
Module #8 Nonlinear Programming (NLP) Basics Introduction to NLP, unconstrained and constrained optimization, and gradient-based methods
Module #9 Nonlinear Programming Applications NLP applications in chemical engineering, including process design and operation
Module #10 Dynamic Optimization Introduction to dynamic optimization, model predictive control, and application to chemical processes
Module #11 Stochastic Optimization Introduction to stochastic optimization, Monte Carlo methods, and application to chemical engineering
Module #12 Metaheuristics and Evolutionary Algorithms Introduction to metaheuristics, genetic algorithms, and particle swarm optimization
Module #13 Process Optimization Software Overview of process optimization software, including GAMS, MILP, and optimization libraries
Module #14 Optimization in Process Design Application of optimization techniques in process design, including flowsheet optimization
Module #15 Optimization in Process Operation Application of optimization techniques in process operation, including real-time optimization
Module #16 Optimization in Supply Chain Management Application of optimization techniques in supply chain management, including inventory control
Module #17 Optimization in Process Intensification Application of optimization techniques in process intensification, including multifunctional reactors
Module #18 Optimization in Energy Systems Application of optimization techniques in energy systems, including power plants and renewable energy
Module #19 Optimization in Water Management Application of optimization techniques in water management, including water networks and wastewater treatment
Module #20 Optimization in Environmental Systems Application of optimization techniques in environmental systems, including air pollution control
Module #21 Case Studies in Process Optimization Real-world case studies of process optimization in various industries
Module #22 Economic Analysis and Optimization Economic analysis and optimization of chemical processes, including cost estimation and profit optimization
Module #23 Uncertainty Analysis and Optimization Uncertainty analysis and optimization of chemical processes, including sensitivity analysis and robust optimization
Module #24 Course Wrap-Up & Conclusion Planning next steps in Process Optimization in Chemical Engineering career
