Cursos

What will you learn in this course? 

·      Selection and sizing of energy storage solutions for renewable energy applications.

·      Use of simulation-based analysis tools and energy storage models, as well as methodologies for parameterization based on commercial and real-world systems.

·      Identification of stages and components for grid connection.

·      Operation, control, and instrumentation. 

Target audience:

·      Researchers and professionals in the renewable energy sector who have a foundational understanding of energy storage technologies and wish to expand their expertise.

Methodology:

·      80% of the sessions consist of laboratory and simulation work using real equipment, solving specific case studies analytically or through MATLAB/Simulink modeling

• Energy Storage Requirements
• Overview of Energy Storage Technologies
• Basic Sizing Exercise and Review of Practical Concepts
• Power Electronics: Operation Examples
• Industry Perspective: ENEL - Battery Valuation
• Li-ion Batteries: Dynamic, Thermal, and Aging Modeling (Simulink)
• Supercapacitors: Dynamic and Thermal Modeling (Simulink)
• Flywheels: Modeling (Simulink)
• Li-ion Batteries: Experimental Characterization of Dynamic and Thermal Models and Aging Analysis
• Supercapacitors: Experimental Laboratory Characterization
• Flywheels: Topologies and Manufacturing
• Hybrid Energy Storage: Concept Overview, Exercises, Control Algorithms, and Laboratory Operation Example
• Regulation: Regulatory Frameworks for Energy Storage Integration
• Sizing of Energy Storage Systems: Case Studies
• Pumped-Storage Hydropower: Modeling and Operation Examples