Energy Economics Training Course

Participants can analyse energy-market drivers and their effects on prices and investment.

• Price elasticity estimated for electricity, gas and transport-fuel demand
• Load profiles separated into baseload, mid-merit and peak demand
• Marginal-cost dispatch explains wholesale electricity-price formation
• Fuel-price pass-through traced across generation and retail tariffs
• Merit-order effects quantified for variable renewable generation additions
• Demand forecasting combines activity, intensity and weather-normalisation assumptions

Participants can prepare consistent energy, cost and emissions datasets for analysis.

• Energy units converted between kWh, MWh, GJ, toe and boe
• Nominal and real prices reconciled using inflation-index assumptions
• Historical consumption cleaned for weather, production and occupancy changes
• Baseline-year selection aligned with decision purpose and data quality
• Load-duration curves reveal utilisation patterns and capacity requirements
• Data-quality checks identify gaps, outliers and inconsistent meter readings

Participants can build a discounted cash flow model for an energy investment.

• Project cash flows structured from capital, operating and revenue inputs
• Discount rates derived from weighted average cost of capital
• NPV and IRR calculated from annual after-tax project cash flows
• Depreciation, tax shields and loss carry-forwards modelled correctly
• Working-capital assumptions incorporated where fuel inventories affect economics
• Terminal values treated cautiously for assets with finite operating lives

Participants can compare energy technologies using appropriate cost and value metrics.

• Levelized cost of electricity calculated from lifetime discounted costs
• LCOH applied to hydrogen pathways with transparent energy assumptions
• Capacity factor, availability and degradation separated in yield estimates
• System costs distinguished from plant-level generation costs
• Value-adjusted LCOE reflects timing, location and dispatchability differences
• Avoided-cost analysis compares self-generation against tariff-based energy purchases

Participants can assess how resource quality and technical performance affect project value.

• Solar irradiation datasets screened for representativeness and measurement uncertainty
• Wind resource estimates adjusted for wake losses and turbulence
• P50, P75 and P90 yield cases interpreted for financing
• Performance ratio links photovoltaic output to technical loss assumptions
• Seasonal generation profiles matched against demand and market prices
• Resource uncertainty translated into revenue and debt-service risk

Participants can evaluate grid-related constraints in renewable and storage economics.

• Interconnection capacity assessed against generation profile and local constraints
• Curtailment risk modelled through dispatch limits and congestion assumptions
• Balancing services valued using reserve, ramping and response requirements
• Transmission losses and connection charges included in project economics
• Flexibility options compared across storage, demand response and interconnection
• Grid-code requirements identified as technical and financial project conditions

Participants can incorporate policy instruments and carbon costs into economic analysis.

• Carbon taxes compared with emissions trading system price mechanisms
• Cap-and-trade allowance allocation and compliance costs modelled
• Feed-in tariffs, contracts for difference and auctions contrasted
• Renewable portfolio standards assessed through certificate-market economics
• Fossil-fuel subsidies identified within retail prices and fiscal accounts
• Policy-risk registers connect regulatory change to investment exposure

Participants can quantify emissions impacts and compare abatement options economically.

• GHG Protocol scopes mapped to energy procurement and operations
• Location-based and market-based electricity emissions calculated separately
• ISO 14064-1 principles applied to organisational emissions inventories
• Marginal abatement cost curves rank emissions-reduction investment options
• Avoided emissions calculated against credible grid or fuel baselines
• Additionality assessed for renewable procurement and carbon-credit claims

Participants can compare electricity procurement options against cost, risk and emissions objectives.

• Physical and virtual PPAs compared by settlement and delivery structure
• Sleeved PPAs assessed against retail supply and balancing arrangements
• Contract-for-difference mechanics tested under variable wholesale-price scenarios
• Tenor, volume and shape risks allocated between contracting parties
• Onsite generation compared with grid supply and renewable certificates
• Procurement scorecards integrate cost, carbon, resilience and credit risk

Participants can model revenue structures and identify material commercial risks.

• Merchant, contracted and regulated revenue models compared systematically
• Capture price measures renewable output value against market averages
• Basis risk quantified between project-node and contract-reference prices
• Offtaker credit analysis reviews payment capacity and default exposure
• Inflation indexation and escalation clauses modelled within contracts
• Revenue waterfalls allocate cash between operating, debt and equity claims

Participants can assess storage value streams and financial viability.

• Battery duration, round-trip efficiency and degradation modelled explicitly
• Energy arbitrage valued from hourly price-spread assumptions
• Capacity payments assessed alongside merchant and ancillary-service revenues
• Revenue stacking tested for compatibility, dispatch conflicts and double-counting
• Cycle limits and warranty terms incorporated into operating forecasts
• Storage sizing matched to peak shaving, resilience or renewable shifting

Participants can evaluate hydrogen and low-carbon fuel pathways using transparent assumptions.

• Electrolyser capital costs, utilisation and electricity inputs modelled
• Grey, blue and green hydrogen pathways compared consistently
• Hydrogen transport, storage and conversion losses included in delivered costs
• Carbon-intensity thresholds tested against policy eligibility requirements
• Offtake contracts assessed for volume, price and substitution risk
• E-fuels economics linked to renewable power and carbon-feedstock costs

Participants can assess transition pathways for fossil-dependent assets and operations.

• Stranded-asset risk assessed through demand, policy and technology scenarios
• Fuel switching compares gas, electricity, biomass and hydrogen options
• Plant retirement timing evaluated using cash flow and reliability criteria
• Decommissioning liabilities estimated from closure, remediation and monitoring costs
• Methane-abatement investments ranked by cost and emissions reduction
• Transition plans connect asset decisions with workforce and community impacts

Participants can assess how market rules affect generation and flexibility investment.

• Energy-only markets compared with capacity-market investment incentives
• Locational marginal pricing signals congestion and network-value differences
• Ancillary-service markets reward frequency, reserve and voltage capabilities
• Negative prices explained through inflexibility, subsidies and surplus generation
• Market-power indicators assess concentration and strategic bidding concerns
• Regulated asset-base models appraise network investment cost recovery

Participants can prioritise energy transition investments within a constrained portfolio.

• Portfolio diversification assesses technology, geography and revenue correlation
• Capital rationing ranks projects using NPV, strategic fit and risk
• Real-options logic values staged development and deferral flexibility
• Hurdle rates adjusted for country, technology and contract risk
• Capital expenditure roadmaps sequence investments against funding constraints
• Portfolio dashboards track financial, emissions and delivery performance

Participants can test investment resilience under uncertain market and policy conditions.

• One-way sensitivity analysis isolates material economic value drivers
• Two-way data tables test combined price and cost changes
• Scenario narratives structure coherent policy, demand and technology futures
• Monte Carlo simulation estimates probability distributions for project returns
• Tornado charts communicate sensitivity ranking to decision makers
• Break-even analysis identifies thresholds for tariff, cost and utilisation

Participants can review whether an energy project is sufficiently prepared for financing.

• Technical, legal, commercial and environmental diligence scopes defined
• Bankability criteria reviewed for permits, land rights and contracts
• Debt-service coverage ratio calculated from project operating cash flows
• Lender covenants assessed for reserve accounts and distribution restrictions
• Risk-allocation matrices identify parties carrying construction and operating exposure
• Independent engineer reports interpreted for lender decision requirements

Participants can convert economic findings into an accountable transition implementation plan.

• Decision rights assigned through RACI matrices for investment governance
• Stage-gate processes link evidence requirements to capital commitments
• Key performance indicators connect cost, emissions and delivery milestones
• Stakeholder mapping identifies approval, opposition and implementation dependencies
• Procurement plans align technical specifications with commercial risk allocation
• Benefits-realisation registers track forecast value after project approval

Participants can build, review and present a complete decision-ready energy transition investment case.

• Investment objective defined through cost, emissions, reliability and strategic criteria
• Demand, resource, technology and market assumptions documented transparently
• Discounted cash flow model integrates capital, operating and financing inputs
• Scenario analysis tests price, policy, curtailment and performance uncertainty
• Risk register assigns mitigations, owners and residual exposure ratings
• Recommendation presented with implementation roadmap, governance and decision request