Introduction

Renewable Energy Financial Modeling Training Course is designed to build advanced capabilities in renewable project finance, financial modeling, investment analysis, project valuation, and bankability assessment. Participants learn how to translate technical, commercial, contractual, and financing assumptions into robust financial models for solar PV, wind, battery energy storage, hybrid renewable projects, and other clean-energy assets. The course reflects current market priorities such as energy storage, flexible PPAs, merchant revenue, grid integration, supply-chain risk, tax-credit structures, portfolio financing, and data-center-driven clean-power demand. Recent industry analysis highlights increasing lender scrutiny of technology performance, construction risk, merchant exposure, revenue stability, and tax-equity eligibility, making sophisticated financial modeling an increasingly important project-development skill.

Through hands-on case studies, scenario analysis, sensitivity testing, debt sizing, cash-flow forecasting, and investment decision-making, participants develop the ability to build models that support developers, investors, lenders, sponsors, infrastructure funds, utilities, and corporate energy buyers. The program emphasizes bankable financial models, risk-adjusted returns, DSCR, IRR, NPV, LCOE, project cash flows, debt sculpting, PPA economics, CAPEX/OPEX optimization, refinancing, and exit analysis. It also examines emerging themes including renewables-plus-storage, hybrid PPAs, merchant revenue, AI/data-center electricity demand, supply-chain resilience, and evolving clean-energy policy. Current market research indicates that storage and hybrid assets are becoming increasingly important investment and financing themes, while flexible contractual structures are gaining attention as renewable penetration and power-price volatility increase.

Programme Curriculum

Renewable Energy Financial Modeling Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of the course, participants will be able to:

Build bankable renewable-energy financial models using structured modeling principles.
Develop integrated CAPEX, OPEX, revenue, tax, debt, and equity cash-flow models.
Evaluate solar, wind, battery storage, and hybrid renewable projects.
Model PPA pricing, contracted revenues, merchant exposure, and flexible offtake structures.
Calculate and interpret IRR, NPV, DSCR, LLCR, LCOE, payback period, and equity returns.
Perform debt sizing, debt sculpting, repayment profiling, and financing optimization.
Analyze project finance structures, leverage, equity contributions, and refinancing scenarios.
Conduct scenario planning, sensitivity analysis, downside modeling, and risk-adjusted investment analysis.
Assess construction, operational, technology, degradation, curtailment, and supply-chain risks.
Integrate tax incentives, tax-equity considerations, and credit-transfer assumptions into project models.
Model battery-storage revenue stacking, degradation, augmentation, and merchant-price exposure.
Prepare investment committee, lender, sponsor, and financial-close outputs from complex models.
Apply AI-enabled analytics, digital modeling tools, and data-driven decision-making to renewable-energy investments.

Target Audience

Renewable Energy Project Developers
Project Finance Professionals
Investment & Infrastructure Analysts
Commercial and Investment Bankers
Energy Finance & Treasury Teams
Renewable Energy Consultants
Utilities and Corporate Energy Professionals
Entrepreneurs, Engineers, and Analysts entering Clean Energy Finance

Course Modules

Module 1: Renewable Energy Finance & Project Finance Fundamentals

Renewable-energy business models and project-finance architecture
Project lifecycle-development, construction, operations, refinancing, and exit
Key financial statements and integrated project cash-flow structures
Bankability, creditworthiness, and lender requirements
Case Study: Financial feasibility assessment of a utility-scale solar PV project

Module 2: Building the Renewable Energy Financial Model

Model architecture, assumptions, timelines, and best-practice conventions
CAPEX, OPEX, depreciation, working capital, and operating assumptions
Generation forecasting and production-based revenue modeling
Integrated income statement, cash flow, and balance-sheet logic
Case Study: Build a 25-year solar project financial model from development through operations

Module 3: Revenue, PPA & Merchant Market Modeling

Power Purchase Agreements (PPAs) and contracted revenue structures
PPA pricing, escalation, availability, curtailment, and performance assumptions
Merchant power-price forecasting and capture-rate analysis
Hybrid PPA and flexibility-backed revenue structures
Case Study: Compare fixed-price PPA, indexed PPA, and partially merchant solar revenues

Module 4: Debt Financing & Financial Structuring

Project debt, construction debt, term loans, and refinancing
Debt sizing, DSCR, LLCR, debt sculpting, and repayment schedules
Interest-rate assumptions and financing-cost analysis
Debt-service reserve and financing covenant modeling
Case Study: Optimize debt sizing for a wind project while maintaining lender-required DSCR

Module 5: Investment Returns, Valuation & Sensitivity Analysis

NPV, IRR, equity multiple, payback, and investment-return analysis
Project-level versus equity-level return calculations
Sensitivity tables for price, CAPEX, generation, OPEX, and financing costs
Scenario analysis and downside-case modeling
Case Study: Investment committee analysis of a solar portfolio under base, upside, and downside scenarios

Module 6: Battery Energy Storage & Hybrid Project Modeling

Battery-storage economics, capacity, duration, degradation, and augmentation
Revenue stacking: energy, capacity, ancillary services, and contracted revenues
Merchant exposure, dispatch assumptions, and storage operating constraints
Solar-plus-storage and wind-plus-storage financial structures
Case Study: Model a solar-plus-BESS project with contracted and merchant revenue streams

Module 7: Risk, Tax, Policy & Bankability Analysis

Tax incentives, tax-equity structures, and credit-transfer considerations
Construction, permitting, supply-chain, tariff, and technology risks
Sensitivity analysis for policy and regulatory changes
Lender due diligence and bankability assessment
Case Study: Stress-test a renewable project against CAPEX inflation, delayed COD, lower generation, and reduced revenue

Module 8: Advanced Financial Modeling, Portfolio Strategy & Investment Decisions

Portfolio-level modeling and diversification benefits
M&A, refinancing, asset valuation, and exit modeling
AI-assisted analytics and automated model-quality checks
Investment dashboards and lender/investor reporting
Case Study: Build and present an investment model for a renewable-energy portfolio combining solar, wind, and battery storage

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

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.

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

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000