Energy Project Finance and Economic Modelling Masterclass Training Course

Duration 10 days 16 modules · 65 contact hours
Level Advanced Certificate on completion
Who attends PPP Directors and Unit Heads, Energy Project Developers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-PIF-016

Before you join: Participants should have prior experience in infrastructure, energy, corporate finance, public investment, PPP procurement, lending or project 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

Energy infrastructure decisions can fail when a technically sound project is paired with weak demand assumptions, an unbankable risk allocation, unrealistic debt capacity or a financial model that cannot withstand lender scrutiny. Senior public-sector sponsors, developers, utilities and financiers need to test whether a proposed power, renewable energy, transmission, storage or fuel-supply project creates economic value, meets affordability constraints and can support its proposed financing structure.

This masterclass develops the analytical discipline required to assess, structure and finance energy projects under PPP, project finance and corporate-finance settings. Participants build integrated project economics and financing models; forecast operating performance, tariffs, taxes and cash flows; size and sculpt debt; test DSCR, LLCR and project IRR; evaluate NPV, WACC and value for money; and diagnose the commercial consequences of contractual risk allocation. The course examines availability-payment PPPs, merchant and contracted renewables, utility-scale generation, transmission and energy-transition assets.

Teaching combines focused technical briefings with structured model-building, lender-style case analysis, financing term-sheet review, risk-allocation workshops and decision simulations. Participants progressively construct an energy-project financial model and supporting investment case using a realistic project scenario. They leave with a reusable model architecture, assumption register, financing analysis, risk matrix and investment-committee presentation pack that can be adapted for live transactions.

The course is designed for experienced professionals who already contribute to infrastructure, energy, fiscal, commercial, investment or lending decisions and now need to challenge project economics and financing proposals with confidence.

What you will be able to do

  • Build an integrated energy project financial model linking operations, financing and investor returns
  • Evaluate project viability using NPV, IRR, WACC, DSCR and LLCR metrics
  • Structure debt sizing and repayment profiles using cash-flow sculpting techniques
  • Assess PPP risk allocation through a bankability and value-for-money framework
  • Develop tariff, demand, generation and operating-cost assumptions for energy investments
  • Test financing resilience through sensitivity analysis, scenarios and downside cases
  • Review lender term sheets, financial covenants and security arrangements
  • Present a defensible energy investment case supported by model outputs and risk analysis

Benefits of attending

For you

  • Challenge developer, adviser and lender assumptions using auditable financial logic
  • Build lender-oriented models for renewable, conventional and utility infrastructure projects
  • Assess whether proposed tariffs and payment mechanisms support debt repayment
  • Lead more credible discussions on project bankability, affordability and fiscal risk
  • Produce investment-committee materials grounded in tested model outputs

For your organisation

  • Improve screening of energy projects before costly procurement or financing commitments
  • Reduce exposure to unaffordable payment obligations and poorly allocated PPP risks
  • Strengthen internal review of sponsor models, financial advisers and lender proposals
  • Create more bankable energy transactions with clearer revenue and security structures
  • Improve consistency between technical assumptions, commercial contracts and financing decisions

Course modules

16 modules over 10 days

Participants can frame an energy project’s economic case, commercial logic and financing requirements.

  • Project lifecycle economics from development expenditure through decommissioning obligations
  • Economic versus financial analysis for public and private decisions
  • Project company structure, sponsor roles, and ring-fenced cash flows
  • Revenue certainty, asset utilisation, and operating-cost drivers compared
  • Investment committee questions that expose weak project fundamentals
  • Energy project value chain mapped from fuel or resource to customer

Participants can construct defensible operating and revenue assumptions for major energy asset types.

  • Demand forecasts translated into contracted volumes and dispatch assumptions
  • Capacity factors derived from resource data, outages, and curtailment
  • Availability-based payments distinguished from energy-volume revenue mechanisms
  • Tariff escalation indexed to inflation, foreign exchange, or fuel
  • Take-or-pay, take-and-pay, and merchant revenue risk compared
  • Generation forecasts reconciled with grid constraints and planned maintenance

Participants can model the principal cost, working-capital and tax drivers of project cash flow.

  • Capital expenditure schedules separated into development, construction, and contingencies
  • EPC payment milestones linked to construction progress and retention
  • Operating costs classified as fixed, variable, periodic, and pass-through
  • Fuel costs modelled through heat rates, supply prices, and escalation
  • Working capital movements calculated from receivables, inventories, and payables
  • Tax depreciation, loss carry-forwards, withholding tax, and VAT treatment

Participants can build a transparent integrated model with controlled assumptions and linked statements.

  • Model architecture separating inputs, calculations, outputs, and audit checks
  • FAST Standard principles applied to financial model structure
  • Timeline design using construction periods, operations dates, and debt tenors
  • Income statement, balance sheet, and cash flow links established
  • Circularity management for interest, cash sweeps, and tax calculations
  • Assumption registers documenting sources, ownership, and approval status

Participants can model project cash priorities, reserve accounts and equity distribution restrictions.

  • Project company cash waterfall sequenced from revenue through distributions
  • Debt service reserve account sizing and permitted withdrawal conditions
  • Major maintenance reserves aligned with lifecycle expenditure forecasts
  • Restricted payments tested against distribution lock-up provisions
  • Cash sweeps applied after minimum liquidity and covenant requirements
  • Waterfall priorities reconciled with financing agreements and shareholder arrangements

Participants can determine debt capacity and repayment profiles using lender credit criteria.

  • Debt sizing constrained by DSCR, LLCR, gearing, and lender limits
  • Base-case DSCR calculated from cash available for debt service
  • LLCR and PLCR calculated using discounted future debt-service cash flows
  • Principal repayments sculpted to projected cash available for debt service
  • Interest during construction capitalised and integrated into funding requirements
  • Covenant headroom assessed under lender downside-case assumptions

Participants can evaluate project and investor returns using disciplined discounted cash flow analysis.

  • Project NPV separated from equity NPV and sponsor returns
  • WACC estimated using capital structure, beta evidence, and debt costs
  • Nominal and real cash flows matched with consistent discount rates
  • Economic costs and benefits adjusted for taxes, transfers, and externalities
  • Shadow pricing and opportunity-cost principles applied to public investment
  • IRR limitations identified for non-conventional and multiple-sign cash flows

Participants can assess whether a PPP risk allocation is commercially coherent and financeable.

  • Risk allocation matrix distinguishes retained, transferred, and shared risks
  • Construction delay risk allocated through EPC completion guarantees
  • Offtaker payment risk mitigated through guarantees and escrow structures
  • Change-in-law clauses distinguish discriminatory, specific, and general changes
  • Force majeure regimes tested for relief, compensation, and termination
  • Value for money assessed against public-sector comparator assumptions

Participants can identify contract terms that determine revenue security and lender acceptability.

  • Power purchase agreement provisions linked to projected revenue certainty
  • Tariff adjustment formulas tested against inflation and currency exposure
  • Direct agreements establish lender step-in rights and cure periods
  • EPC liquidated damages assessed against delay and performance exposures
  • O&M agreements reviewed for availability guarantees and termination rights
  • Termination compensation aligned with outstanding debt and equity recovery

Participants can compare financing sources and design an appropriate project capital structure.

  • Sponsor equity, shareholder loans, and preferred equity compared
  • Commercial bank loans assessed for tenor, pricing, and refinancing risk
  • Development finance institution participation evaluated for risk mitigation
  • Export credit agency support linked to procurement and country eligibility
  • Green bonds and project bonds compared with bank financing
  • Blended finance structures tested for concessionality and additionality

Participants can conduct a lender-oriented review of project evidence, covenants and security.

  • Technical due diligence findings translated into financial model assumptions
  • Legal due diligence confirms land rights, permits, and contract enforceability
  • Environmental and social due diligence aligned with IFC Performance Standards
  • Common terms agreement coordinates intercreditor rights and payment priorities
  • Security package covers shares, accounts, contracts, and project assets
  • Conditions precedent tracked through a financing closing checklist

Participants can test project resilience and communicate the drivers of financial downside.

  • One-way sensitivities quantify value exposure to critical assumptions
  • Two-way data tables test combined tariff and cost movements
  • Lender downside cases apply conservative operational and financial assumptions
  • Scenario analysis links correlated shocks across prices, volumes, and costs
  • Break-even analysis identifies minimum tariff, availability, and capacity factors
  • Tornado charts rank variables by NPV and DSCR impact

Participants can assess affordability and contingent liabilities arising from energy PPP commitments.

  • Availability-payment commitments forecasted within medium-term fiscal expenditure frameworks
  • Government guarantees valued using probability-weighted contingent liability methods
  • Foreign exchange exposure assessed for sovereign payment obligations
  • Tariff subsidies modelled separately from project-company revenue requirements
  • Fiscal risk registers assign owners, triggers, and mitigation actions
  • Affordability tests reconcile sector budgets with contracted payment profiles

Participants can review a project model for structural errors, weak assumptions and misleading outputs.

  • Model integrity checks identify broken links, hardcodes, and sign errors
  • Balance sheet balancing tests detect incomplete financing and accounting logic
  • Sources-and-uses reconciliation confirms funding sufficiency at financial close
  • Independent model review scope covers logic, formulas, and documentation
  • Version control records assumption changes and approval decisions
  • Investment memoranda distinguish facts, assumptions, sensitivities, and recommendations

Participants can prepare financing and contract positions that protect value while preserving bankability.

  • Negotiation priorities derived from model sensitivities and covenant headroom
  • Term-sheet provisions assessed for pricing, tenor, security, and flexibility
  • Sponsor returns tested against distribution restrictions and refinancing assumptions
  • Public-authority positions prepared on guarantees, termination, and tariff adjustment
  • Risk mitigation measures matched to parties best able to manage
  • Negotiation fallback positions documented with quantified financial consequences

Participants can build, review and present a complete energy project finance model and investment case.

  • Integrated model completed from operational assumptions through financing outputs
  • Base case validated using balance, cash flow, and audit checks
  • Debt sizing and repayment profile aligned with lender coverage requirements
  • PPP risk allocation assessed against bankability and public affordability
  • Downside scenario findings converted into mitigations and decision conditions
  • Investment committee presentation defends recommendation, risks, and required approvals

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

What you take back to work

  1. Integrated energy project finance model template
  2. Project assumptions and model-audit register
  3. PPP risk allocation and bankability matrix
  4. Debt sizing and covenant analysis workbook
  5. Energy project sensitivity and downside-case dashboard
  6. Investment committee paper and presentation template

Who should attend

  • PPP Directors and Unit Heads — assess affordability, bankability and fiscal exposure before procurement
  • Energy Project Developers — structure investable projects and defend financing assumptions
  • Infrastructure Finance Managers — evaluate project economics, debt capacity and funding options
  • Bankers and Credit Officers — analyse cash-flow security, covenants and lender risks
  • Utility and Energy Executives — test tariffs, investment cases and contractual revenue protections
  • Public-Sector Financial Advisers — prepare and challenge financial cases for energy PPP transactions

Skills and tools covered

Project finance modellingEnergy economic analysisDebt structuringPPP risk allocationInvestment appraisalFinancial model review

Tools and standards

Microsoft Excel, FAST Standard, OECD PPP Reference Guide, IFC Performance Standards

How the course runs

Training methodology

The course uses short technical briefings followed by instructor-led model construction, case analysis and structured group work. Participants work through an energy project from resource assumptions and tariff design to debt sizing, risk allocation and investment approval. Simulations cover lender review, sponsor negotiations and public-authority decision points. Model outputs are challenged against contracts, term sheets and downside scenarios. Each participant develops an application plan for a current or anticipated project, procurement, financing review or investment decision.

Requirements and prerequisites

Participants should have prior experience in infrastructure, energy, corporate finance, public investment, PPP procurement, lending or project development. They should be comfortable reading financial statements, interpreting discounted cash flow concepts and working with spreadsheets. Familiarity with project finance terminology, such as sponsors, lenders, debt service and concession agreements, is helpful. The course does not require prior advanced modelling expertise, programming knowledge or prior experience building a full project finance model. Participants should bring a laptop capable of running spreadsheet software.

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 already work with energy, infrastructure, finance, PPPs, investment appraisal or lending decisions. They need basic spreadsheet and discounted cash flow literacy, but do not need to be expert financial modellers.

Bring a laptop with spreadsheet software and, where permitted, a current project case or anonymised project assumptions. Participants can use their own project as a reference during application planning.

The course suits senior staff in PPP units, ministries, utilities, developers, banks, development finance institutions and advisory firms. It is particularly relevant to professionals reviewing energy investment cases or financing proposals.

This course concentrates on energy project economics, PPP structures, lender metrics, contracts and financing decisions. General spreadsheet techniques are used only where they support project-finance analysis and model review.

Participants can use the model structure, risk matrix, debt-capacity analysis and review checklists to assess live projects. The course also provides a basis for challenging adviser models, financing term sheets and tariff proposals.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first part develops assumptions and the integrated model; the second part focuses on financing, risk, model review and the capstone investment case.

Questions about this course?

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