Introduction

Renewable Energy Trading and Markets Training Course provides a practical, market-focused understanding of how electricity generated from solar, wind, hydro, battery energy storage systems (BESS), and hybrid renewable assets is priced, contracted, traded, optimized, and integrated into modern power markets. The course responds to major developments shaping the 2026 energy landscape, including renewable intermittency, negative power prices, grid congestion, flexibility markets, energy storage, corporate Power Purchase Agreements (PPAs), hybrid PPAs, demand response, ancillary services, guarantees of origin, and 24/7 clean-energy matching. Growing renewable penetration is increasing the importance of flexibility, storage, and sophisticated market participation, while emerging commercial models are moving beyond traditional pay-as-produced PPAs toward structures that better manage price and volume risk.

The training combines energy-market theory, commercial strategy, trading simulations, portfolio optimization, regulatory analysis, risk management, and real-world case studies to help participants understand the complete renewable energy value chain from project development and market access through bidding, scheduling, hedging, settlement, and revenue optimization. Particular attention is given to BESS optimization, renewable capture prices, curtailment, congestion, balancing markets, PPAs, virtual PPAs, Contracts for Difference (CfDs), renewable certificates, and data-driven energy trading. The course can also provide valuable regional context for emerging markets such as Kenya, where high renewable penetration makes open access, flexibility, storage, ancillary services, and evolving electricity-market frameworks increasingly important.

Programme Curriculum

Renewable Energy Trading and Markets Training Course

Introduction

Course Duration

5 days

Course Objectives

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

Understand renewable power markets, electricity trading mechanisms, and market design.
Analyze day-ahead, intraday, balancing, ancillary-service, and flexibility markets.
Evaluate renewable generation forecasts and manage intermittency and forecasting risk.
Structure and assess PPAs, virtual PPAs, hybrid PPAs, and CfDs.
Analyze negative pricing, capture rates, cannibalization, and price volatility.
Develop strategies for BESS optimization, energy arbitrage, and revenue stacking.
Understand grid congestion, curtailment, transmission constraints, and flexibility solutions.
Apply portfolio optimization and renewable asset valuation techniques.
Assess market, credit, volume, basis, imbalance, and regulatory risks.
Understand renewable energy certificates, guarantees of origin, and clean-energy attributes.
Apply data analytics, AI-enabled forecasting, and digital energy-trading concepts.
Evaluate commercial opportunities created by electrification, EVs, data centers, and flexible demand.
Build integrated renewable trading and revenue-optimization strategies using practical case studies.

Target Audience

Renewable energy developers and project managers
Energy traders and power-market analysts
Utilities, independent power producers, and electricity retailers
Energy procurement and corporate sustainability professionals
Investment, banking, and infrastructure-finance professionals
Regulators, policymakers, and energy-market institutions
Battery storage, grid, and flexibility-market professionals
Consultants, engineers, economists, and energy-sector professionals

Course Modules

Module 1: Renewable Energy Markets Fundamentals

Renewable electricity value chains and market participants
Wholesale electricity-market structures and market coupling
Solar, wind, hydro, and hybrid generation characteristics
Merit order, marginal pricing, price formation, and market signals
Case Study: How increasing solar and wind penetration changes wholesale power-price patterns

Module 2: Renewable Power Trading and Market Operations

Day-ahead and intraday electricity trading
Balancing markets and imbalance management
Forecasting, bidding, nominations, and scheduling
Algorithmic trading and data-driven market decision-making
Case Study: Managing forecast deviations for a utility-scale wind portfolio

Module 3: PPAs, Virtual PPAs and Renewable Contracting

Physical PPAs and virtual/synthetic PPAs
Fixed-price, indexed, floor, collar, and market-linked structures
Hybrid PPAs and flexibility-backed contracting
Contract risk allocation, settlement, guarantees, and credit considerations
Case Study: Structuring a solar-plus-storage PPA for a large electricity consumer

Module 4: Battery Energy Storage and Flexibility Markets

BESS economics, dispatch, and energy arbitrage
Ancillary services and balancing opportunities
Revenue stacking and multi-market optimization
State of charge, degradation, cycling, and operational constraints
Case Study: Optimizing a grid-scale battery across energy and ancillary-service markets

Module 5: Renewable Pricing, Risk and Revenue Optimization

Renewable capture prices and capture-rate analysis
Negative electricity prices and price cannibalization
Volume, basis, imbalance, credit, and market risks
Hedging strategies and portfolio diversification
Case Study: Reducing revenue volatility for a wind-and-solar portfolio during periods of negative pricing

Module 6: Grid Integration, Curtailment and Market Flexibility

Grid congestion and transmission constraints
Renewable curtailment and redispatch
Demand response and flexible consumption
Storage, interconnection, and grid-support services
Case Study: Using battery storage and flexible demand to reduce solar curtailment

Module 7: Renewable Certificates, Carbon Markets and 24/7 Clean Energy

Guarantees of Origin and renewable energy certificates
Clean-energy attribute tracking and certification
Hourly matching and 24/7 carbon-free energy concepts
Carbon markets and renewable-energy claims
Case Study: Designing an hourly clean-energy procurement strategy for a data center

Module 8: Advanced Renewable Trading Strategy and Future Markets

AI, machine learning, forecasting, and energy-market analytics
Virtual power plants and distributed energy resources
EVs, smart grids, prosumers, and demand-side flexibility
Portfolio optimization and automated trading strategies
Case Study: Building a renewable-plus-BESS virtual portfolio for multi-market revenue optimization

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

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000