Introduction

The global transition toward clean energy has created a growing demand for professionals with skills in renewable modelling and analysis. Renewable Modelling and Analysis Training Course is designed to equip participants with cutting-edge techniques and tools necessary to model, simulate, and analyze renewable energy systems. The course emphasizes solar, wind, and hybrid energy systems while integrating predictive analytics, machine learning applications, and sustainability forecasting to develop scalable and efficient renewable solutions.

With a focus on both theoretical concepts and practical implementations, this course empowers participants to handle real-world projects and optimize energy outputs through smart grid integration, policy-driven modeling, and financial viability assessments. Professionals in the renewable energy sector will gain the competence needed to support green transitions using data-driven decision-making and advanced modelling platforms.

Programme Curriculum

Renewable Modelling and Analysis Training Course

Introduction

Course Objectives

Understand the fundamentals of renewable energy modelling and simulation.
Apply data-driven forecasting techniques in renewable energy analysis.
Utilize tools like HOMER, PVsyst, MATLAB, and RETScreen for system design and analysis.
Perform economic feasibility studies for solar and wind energy systems.
Analyze grid integration challenges of renewable energy systems.
Integrate AI and machine learning in energy consumption prediction models.
Evaluate energy storage systems using performance-based modelling.
Develop hybrid renewable systems for off-grid and grid-connected setups.
Assess the environmental and carbon impact of renewable technologies.
Interpret geospatial and meteorological data for site-specific energy planning.
Perform policy and regulatory compliance modelling in project design.
Build and present simulation models and dashboards for reporting.
Implement scenario analysis for risk management in energy planning.

Target Audiences

Renewable Energy Engineers
Environmental Scientists and Analysts
Utility and Energy Managers
Urban Planners and Infrastructure Developers
Policy Makers and Regulatory Authorities
Energy Consultants and Sustainability Experts
Graduate Students in Energy Studies
Project Developers and Investors in Clean Energy

Course Duration: 5 days

Course Modules

Module 1: Fundamentals of Renewable Energy Modelling

Introduction to energy systems and modelling needs
Overview of renewable resources and variability
Understanding load profiles and energy balance
Key metrics and modelling indicators
Tools and software overview
Case Study: Baseline modelling for a rural solar PV project

Module 2: Solar Energy System Simulation

Introduction to PV system design
PVsyst software walkthrough
Solar radiation data interpretation
PV performance ratio analysis
Panel orientation and tilt modelling
Case Study: PV system design for a university campus

Module 3: Wind Energy Modelling and Analysis

Wind resource assessment tools
Turbine selection and site evaluation
Wind speed data and Weibull distribution
Wind farm layout modelling
Software: WindPRO/WAsP
Case Study: Community wind farm feasibility

Module 4: Hybrid Renewable Systems Design

Concept of hybrid energy systems
System sizing and component selection
HOMER Pro modelling workflow
Load prioritization in hybrid systems
Economic optimization and LCOE analysis
Case Study: Off-grid hybrid system for an island village

Module 5: Energy Storage and Grid Integration

Types and roles of energy storage systems
Battery modelling and simulation
Grid stability and synchronization
Smart grid integration tools
Demand-side management modelling
Case Study: Storage-integrated solar project in an urban grid

Module 6: Machine Learning in Renewable Forecasting

Introduction to AI in energy
Data preprocessing and model selection
Time-series forecasting models (ARIMA, LSTM)
Python for predictive modelling
Accuracy metrics and model tuning
Case Study: ML-based solar output prediction for a smart city

Module 7: Environmental Impact and Policy Modelling

Carbon emissions modelling
Lifecycle assessment (LCA)
Policy frameworks and compliance standards
RETScreen policy analysis tool
Impact of incentives and tariffs
Case Study: Carbon impact modelling for wind farms under new tax laws

Module 8: Project Development and Simulation Reporting

Project planning and scheduling
Financial modelling for renewable projects
Report automation and dashboards
Stakeholder presentation skills
Scenario and risk analysis techniques
Case Study: Full-scale simulation and investment pitch for a solar farm

Training Methodology

Instructor-led online & in-person sessions
Hands-on workshops using software tools (PVsyst, HOMER, RETScreen)
Real-world datasets and modelling assignments
Group projects and peer reviews
Simulation-based performance evaluations
Access to a cloud-based lab environment

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

Renewable energy modeling analytics performance evaluation

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

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000