Energy Storage Finance and Economics Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Project Finance Managers, Renewable Energy Developers and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-CFCM-022

Before you join: Participants should understand basic financial statements, discounted cash flow concepts and business-case development.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Grid-scale and behind-the-meter storage can convert volatile power prices, constrained networks and renewable curtailment into revenue, yet projects remain difficult to underwrite. A battery’s value depends on dispatch rights, interconnection capacity, degradation, contract terms, market rules, tax treatment and the cost of capital. Finance teams must separate headline revenue forecasts from bankable cash flows, quantify downside cases and allocate risks to parties able to manage them.

This five-day Energy Storage Finance and Economics Training Course examines the commercial and financial logic behind battery energy storage projects. Participants assess storage revenue streams, calculate Levelized Cost of Storage, build discounted cash flow assumptions, structure debt and equity funding, test debt service coverage ratios and evaluate project risks. The course addresses merchant and contracted revenues, capacity markets, ancillary services, tolling structures, co-located renewables, degradation, augmentation, incentives, carbon considerations, due diligence and investment committee decisions.

Instruction combines short technical briefings with financial-model case work, contract and term-sheet analysis, group discussions, scenario testing and investment decision simulations. Participants work with realistic battery storage assumptions and leave with a reusable storage project finance model structure, revenue-risk assessment framework, lender due diligence checklist and investment monitoring plan. The course is delivered instructor-led over five days, from 08:30 to 16:30 each day, in classrooms across 50+ cities or live online. Participants receive a certificate of completion.

The course is suited to professionals assessing, funding, developing, procuring or managing energy storage assets, including battery projects connected to transmission networks, distribution networks, commercial facilities and renewable generation.

What you will be able to do

  • Build discounted cash flow assumptions for battery energy storage investment cases
  • Calculate Levelized Cost of Storage using lifecycle cost and discharged-energy inputs
  • Evaluate merchant, contracted and regulated storage revenue streams
  • Model degradation, augmentation, availability and replacement costs over project life
  • Size project debt using debt service coverage ratio constraints
  • Assess term sheets, security packages and lender due diligence requirements
  • Quantify revenue uncertainty through P50, P90 and downside scenarios
  • Prepare an investment committee analysis for an energy storage financing decision

Benefits of attending

For you

  • Prepare financeable battery storage investment cases with defensible assumptions
  • Challenge revenue forecasts and dispatch assumptions used by developers or advisers
  • Interpret lender requirements for debt sizing, reserves and security packages
  • Evaluate degradation and augmentation effects on long-term project returns
  • Contribute credible storage analysis to investment committee and procurement decisions

For your organisation

  • Improve screening of battery storage investments before development capital is committed
  • Reduce revenue forecast errors through structured downside and sensitivity analysis
  • Strengthen lender, investor and adviser discussions during financing processes
  • Improve contract review by identifying bankability gaps and risk allocation issues
  • Support better capital allocation between standalone, co-located and behind-the-meter storage

Course modules

10 modules over 5 days

Participants can identify storage revenue sources and assess the market conditions supporting them.

  • Storage value chains from cells and inverters to contracted project revenues
  • Merchant, contracted, and regulated revenue models for grid-scale storage assets
  • Market stacking rules for energy, capacity, ancillary services, and congestion
  • Dispatch economics under hourly prices, degradation constraints, and interconnection limits
  • Transmission congestion and curtailment effects on battery location and revenues
  • Revenue cannibalisation risk from correlated storage dispatch and renewable output

Participants can translate battery technical performance assumptions into financial model inputs.

  • Battery chemistries, power conversion systems, and balance-of-plant cost drivers
  • State-of-charge windows and round-trip efficiency within dispatch modelling
  • Cycle-life warranties, throughput limits, and degradation curve interpretation
  • Augmentation schedules and replacement reserves within long-term operating assumptions
  • Availability guarantees, liquidated damages, and performance-test acceptance criteria
  • IEC 62933 terminology for stationary electrical energy storage systems

Participants can calculate project returns and identify the assumptions driving storage economics.

  • Levelized Cost of Storage calculations using discounted lifetime costs and discharged energy
  • Net present value, internal rate of return, and payback limitations
  • Nominal and real cash flows, inflation indices, and discount rates
  • Tax depreciation, loss carryforwards, and after-tax project cash flow
  • Working capital, reserve accounts, and lifecycle capital expenditure timing
  • Sensitivity tables for capex, revenue, degradation, and financing assumptions

Participants can assess storage contracts and forecast revenue under different market structures.

  • Capacity payment mechanisms, availability obligations, and non-performance penalties
  • Ancillary-service qualification, response requirements, and market participation constraints
  • Power purchase agreements paired with storage and renewable generation profiles
  • Tolling agreements, floors, collars, and fixed-revenue contract structures
  • Merchant revenue forecasts using price shapes, spreads, and dispatch assumptions
  • Contract bankability tests for term, credit support, termination, and change clauses

Participants can structure and quality-check a financial model for an energy storage project.

  • Three-statement project model architecture linking operations, taxes, debt, and equity
  • Hourly dispatch outputs aggregated into monthly revenue and cash-flow schedules
  • Modeling degradation, augmentation, outages, and availability through operating years
  • Debt sculpting against projected cash available for debt service
  • Auditing formulas with balance checks, flags, and independent recalculation
  • Scenario manager design for base, downside, and upside investment cases

Participants can compare financing structures and determine lender-constrained debt capacity.

  • Equity, senior debt, mezzanine debt, and tax-equity funding roles
  • Debt service coverage ratio calculation and lender sizing constraints
  • Loan life coverage ratio and project life coverage ratio interpretation
  • Construction-period funding, interest during construction, and contingency drawdowns
  • Term sheets covering tenor, amortisation, margins, covenants, and security
  • Weighted average cost of capital under alternative capital structures

Participants can identify bankability gaps and allocate key storage project risks.

  • Lender technical adviser scope, independent engineer reports, and model review
  • Due diligence workstreams covering permits, land rights, grid connection, and insurance
  • Risk allocation matrices for EPC, O&M, offtake, and force majeure
  • Completion tests, substantial completion, and long-stop date protections
  • Direct agreements, step-in rights, and lender consent requirements
  • Reserve accounts for debt service, maintenance, and major replacements

Participants can assess incentive eligibility, carbon claims and public funding obligations.

  • Investment tax credits, production incentives, and grant eligibility tests
  • Carbon-credit additionality, baseline setting, and monitoring-plan requirements
  • GHG Protocol Scope 2 consequences of charging source and dispatch
  • Lifecycle emissions assessment boundaries for battery manufacturing, transport, and recycling
  • Environmental attribute certificates and renewable matching claims for storage projects
  • Public funding compliance, state-aid rules, and reporting obligations

Participants can value storage projects and present risk-adjusted recommendations for approval.

  • Comparable transactions, precedent project valuations, and implied valuation multiples
  • Discounted cash flow valuation using risk-adjusted discount rates
  • P50, P90, and downside cases for revenue uncertainty assessment
  • Probabilistic sensitivity analysis using Monte Carlo distributions and correlation assumptions
  • Investment committee papers presenting assumptions, returns, risks, and approval conditions
  • Bid evaluation scorecards combining price, deliverability, credit, and performance

Participants can monitor storage investments and apply course methods to active decisions.

  • Portfolio effects from co-located renewables, shared interconnection, and dispatch coordination
  • Refinancing triggers following operating history, contract extensions, and rating improvements
  • Asset-management dashboards tracking availability, degradation, revenue, and covenant headroom
  • Variance analysis separating price, volume, availability, and degradation drivers
  • Investment monitoring plan with milestones, owners, thresholds, and escalation actions
  • Personal application plan for a live storage financing decision or review

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Battery storage financial model structure
  2. Levelized Cost of Storage calculator
  3. Storage revenue-risk assessment matrix
  4. Project finance term-sheet review checklist
  5. Lender due diligence workplan
  6. Investment monitoring and covenant dashboard

Who should attend

  • Project Finance Managers — assess debt capacity, lender requirements and financing structures
  • Renewable Energy Developers — prepare investable battery storage business cases
  • Investment Analysts — evaluate returns, risks and valuation assumptions for storage assets
  • Infrastructure Fund Professionals — screen acquisitions, co-investments and portfolio opportunities
  • Commercial Energy Managers — assess storage procurement, contracting and operating economics
  • Public-Sector Energy Officials — evaluate funding proposals, incentives and procurement submissions

Skills and tools covered

Storage revenue modellingProject finance structuringDebt sizing analysisBattery degradation economicsContract bankability assessmentInvestment case appraisal

Tools and standards

Discounted cash flow (DCF), Levelized Cost of Storage (LCOS), Debt service coverage ratio (DSCR), P50/P90 analysis

How the course runs

Training methodology

The course uses short instructor briefings to establish technical and financial concepts, followed by storage-project cases, group analysis and structured discussions. Participants interpret revenue forecasts, review contract clauses, test cash flow assumptions and compare financing alternatives using realistic project data. Simulations focus on investment committee decisions, lender review questions and downside scenarios. Facilitated application planning helps participants identify where the methods, templates and checks can be used in current storage projects or investment pipelines.

Requirements and prerequisites

Participants should understand basic financial statements, discounted cash flow concepts and business-case development. Experience in energy, infrastructure, utilities, renewable projects, investment analysis, commercial management or corporate finance is useful. Participants should be comfortable interpreting cash flow forecasts, percentages and spreadsheet outputs. Prior battery engineering expertise is not required, and the course explains the technical performance concepts needed for financial analysis. Advanced project finance modelling, power-market trading experience, programming skills and prior carbon-market experience are not required.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should understand basic finance concepts such as discounted cash flow, revenue, costs and investment returns. Prior battery engineering knowledge and advanced project finance modelling experience are not required.

Bring a laptop suitable for reviewing spreadsheets and course materials. Participants may also bring non-confidential examples of storage projects, investment cases or contract questions relevant to their role.

The course suits finance, investment, development, commercial, procurement and public-sector professionals working with energy storage projects. It is particularly relevant where battery investments, procurement proposals or financing decisions are under review.

This course treats technology and market rules as financial inputs rather than as engineering or trading specialisms. The emphasis is on project economics, revenue quality, capital structure, bankability and investment decisions.

Participants can use the model structure, risk matrix and due diligence checklist to review live storage proposals. The methods also support discussions with developers, lenders, technical advisers, investors and procurement teams.

The programme runs for five instructor-led days, normally 08:30 to 16:30, with about 6.5 contact hours each day. Teaching progresses from storage economics and technical assumptions to modelling, financing, due diligence, valuation and post-investment monitoring.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.