Module #1 Introduction to Energy Storage Overview of energy storage systems, importance of optimization, and course objectives
Module #2 Energy Storage Systems Types of energy storage systems (batteries, pumped hydro, etc.), characteristics, and applications
Module #3 Optimization Fundamentals Introduction to optimization, types of optimization problems, and optimization algorithms
Module #4 Linear Programming Introduction to linear programming, formulation, and solution methods
Module #5 Integer Programming Introduction to integer programming, formulation, and solution methods
Module #6 Dynamic Programming Introduction to dynamic programming, formulation, and solution methods
Module #7 Convex Optimization Introduction to convex optimization, convex sets, and convex functions
Module #8 Optimization for Energy Storage Sizing Optimization algorithms for sizing energy storage systems
Module #9 Optimization for Energy Storage Operation Optimization algorithms for operating energy storage systems
Module #10 Model Predictive Control Introduction to model predictive control and its application to energy storage systems
Module #11 Stochastic Optimization Introduction to stochastic optimization and its application to energy storage systems
Module #12 Metaheuristics Introduction to metaheuristics, including simulated annealing and genetic algorithms
Module #13 Heuristics for Energy Storage Heuristics for energy storage systems, including rule-based and machine learning-based approaches
Module #14 Case Study:Optimal Sizing of Energy Storage for Renewable Energy Systems Application of optimization algorithms to a case study on optimal sizing of energy storage for renewable energy systems
Module #15 Case Study:Optimal Operation of Energy Storage for Peak Shaving Application of optimization algorithms to a case study on optimal operation of energy storage for peak shaving
Module #16 Energy Storage System Modeling Modeling energy storage systems, including electrical and thermal models
Module #17 Uncertainty Quantification Uncertainty quantification in energy storage systems, including probabilistic and sensitivity analysis
Module #18 Advanced Topics in Optimization for Energy Storage Advanced topics, including multi-objective optimization, robust optimization, and online optimization
Module #19 Software Tools for Optimization Overview of software tools for optimization, including Pyomo, CVXPY, and Gurobi
Module #20 Hands-on Exercise:Optimization for Energy Storage Hands-on exercise using software tools to solve an optimization problem for energy storage
Module #21 Energy Storage System Design and Implementation Design and implementation considerations for energy storage systems
Module #22 Economic and Environmental Impact of Energy Storage Economic and environmental impact of energy storage systems, including cost-benefit analysis and life cycle assessment
Module #23 Case Study:Optimal Design of Energy Storage Systems for Microgrids Application of optimization algorithms to a case study on optimal design of energy storage systems for microgrids
Module #24 Case Study:Optimal Operation of Energy Storage Systems for Ancillary Services Application of optimization algorithms to a case study on optimal operation of energy storage systems for ancillary services
Module #25 Research and Development in Optimization for Energy Storage Overview of current research and development in optimization for energy storage, including emerging trends and future directions
Module #26 Challenges and Opportunities in Optimization for Energy Storage Challenges and opportunities in optimization for energy storage, including scalability, data quality, and standardization
Module #27 Industry Applications and Use Cases Industry applications and use cases of optimization algorithms for energy storage, including utility-scale, commercial, and residential applications
Module #28 Regulatory and Policy Frameworks Regulatory and policy frameworks for energy storage systems, including incentives, tariffs, and standards
Module #29 Conclusion and Future Directions Conclusion of the course, summary of key takeaways, and future directions in optimization for energy storage
Module #30 Course Wrap-Up & Conclusion Planning next steps in Optimization Algorithms for Energy Storage career
