Course Outline:

Module 1: Introduction to Hybrid Energy Systems and Optimization Software

• Overview of hybrid energy systems (PV, wind, diesel, battery, etc.)

• Introduction to optimization tools: HOMER Pro, MATLAB/Simulink, or equivalent

• Software installation and interface walkthrough

• Key parameters in hybrid energy modeling

Case Study: Overview of a rural off-grid electrification scenario

Module 2: Load Assessment and Resource Data Input

• Defining and modeling load profiles (residential, commercial, industrial)

• Importing and customizing solar, wind, and temperature data

• Creating seasonal and daily variations

• Understanding demand-side management strategies

Case Study: Load profiling for a remote telecom station

Module 3: Modeling Renewable Energy Resources

• Solar PV system modeling

• Wind turbine configuration and characteristics

• Performance metrics and resource variability

• Integration of multiple renewable sources

Case Study: Hybrid solar-wind system for a desert clinic

Module 4: Integrating Conventional and Backup Energy Sources

• Diesel generator modeling and constraints

• Fuel logistics and cost modeling

• Grid connectivity options and limitations

• Role of backup generation in hybrid systems

Case Study: Diesel-solar hybrid for a microgrid in Sub-Saharan Africa

Module 5: Battery Storage and Energy Management Systems

• Battery types (Li-ion, Lead Acid, Flow Batteries)

• Charge/discharge strategies

• Energy Management System (EMS) logic

• Round-trip efficiency and degradation

Case Study: Solar + Battery storage solution for an island resort

Module 6: Economic and Financial Modeling

• CAPEX, OPEX, Net Present Cost (NPC), LCOE

• Sensitivity analysis

• Tariff structures and incentive programs

• Cost-benefit analysis and payback period

Case Study: LCOE comparison between grid-extension and hybrid mini-grid

Module 7: System Optimization and Sensitivity Analysis

• Defining objective functions: cost, emissions, reliability

• Running optimization scenarios

• Multi-variable sensitivity analysis

• Interpreting optimization outputs

Case Study: Optimization of a hybrid system for a peri-urban health facility

Module 8: Environmental and Technical Performance Analysis

• Emissions and fuel savings

• Renewable fraction and unmet load

• System reliability and resilience metrics

• Energy balance and efficiency reporting

Case Study: Emissions reduction comparison across hybrid configurations

Module 9: Advanced Configurations and Control Strategies

• Grid-tied vs. off-grid systems

• Demand response and load shifting

• Peak shaving and net metering

• Multi-objective optimization techniques

Case Study: Grid-connected commercial building with PV, batteries, and diesel

Module 10: Capstone Project and Final Review

• Capstone Project: Design, simulate, and optimize a complete hybrid energy system

• Peer review and group presentations

• Review of key concepts and best practices

• Certification ceremony and feedback session

Capstone Case Study: Full system simulation for a smart village electrification project