Utility Costing and Pricing Training Course

Participants can prepare reconciled financial and operating data for reliable unit-cost calculations.

• Data dictionary defines account codes, units, periods and source-system ownership
• General ledger extracts reconciled to payroll, procurement, asset and billing records
• Accruals, provisions and depreciation adjusted before unit-cost calculations begin
• Cost-centre variances investigated using volume, price, efficiency and timing bridges
• Data-quality controls test completeness, consistency, cut-off and unusual movements
• Audit trail documentation links tariff assumptions to approved financial records

Participants can allocate shared costs and calculate cost-to-serve using defensible allocation bases.

• Activity-based costing assigns support costs through resource and activity drivers
• Reciprocal service departments allocated using simultaneous-equation and step-down methods
• Network operations costs separated between customer, capacity and commodity components
• Peak-coincident demand measures allocate generation and network capacity costs
• Allocation bases tested against cost causation, materiality and data availability
• Shared corporate costs challenged for controllability, benefit and regulatory acceptability

Participants can incorporate asset costs, depreciation and capital recovery into utility pricing models.

• Asset register data connects depreciation, replacement cycles and service capacity
• Straight-line and component depreciation compared for infrastructure cost recovery
• Return-on-asset-base calculations distinguish regulated returns from accounting depreciation
• Capitalisation policies separate renewals, repairs and operating expenditure
• Working-capital allowances calculated from receivables, inventory, payables and cash
• Asset lives and utilisation assumptions tested through sensitivity analysis

Participants can forecast billed volumes and assess demand factors affecting tariff revenue.

• Customer segmentation combines consumption profiles, connection types and service levels
• Billing data cleansed for estimated reads, vacancies and abnormal consumption
• Demand forecasts use trend, cohort and weather-normalisation methods
• Non-revenue water and technical losses quantified within volume balances
• Load factor, peak demand and diversity determine capacity requirements
• Elasticity assumptions estimate consumption responses to price and income changes

Participants can calculate revenue requirements and explain the basis for regulated price adjustments.

• Revenue requirement builds from efficient operating costs, depreciation and allowed return
• Regulatory asset base reconciles commissioned assets, disposals and accumulated depreciation
• Weighted average cost of capital supports allowed-return calculations
• Price-cap and rate-of-return regulation compared through incentive properties
• Efficiency targets distinguish controllable costs from exogenous cost movements
• Regulatory submissions document prudency, affordability, service quality and investment need

Participants can design and assess tariff structures against cost recovery and customer objectives.

• Two-part tariffs combine fixed customer charges with usage charges
• Block tariffs tested for affordability, conservation and cross-subsidy effects
• Time-of-use rates reflect peak capacity costs and demand shifting
• Demand charges recover coincident-peak network costs from large customers
• Tariff structures assessed against cost recovery, equity, simplicity and stability
• Bill-impact analysis compares representative customer bills before and after changes

Participants can assess subsidy options and customer impacts arising from proposed tariff changes.

• Subsidy policies separate social support from average-cost tariff design
• Means-tested rebates estimated using eligibility rules, uptake and administrative costs
• Cross-subsidies measured between customer classes, regions and consumption bands
• Connection charges distinguish incremental connection costs from network expansion costs
• Affordability metrics relate utility bills to household income and essential use
• Stakeholder consultation evidence addresses customer acceptance and distributional consequences

Participants can build tariff scenarios that test financial viability under changing assumptions.

• Integrated tariff model links volumes, costs, assets, financing and revenues
• Scenario analysis tests demand, inflation, exchange-rate and collection-rate changes
• Break-even analysis identifies tariff levels required for target cost recovery
• Cash-flow forecasts incorporate billing lags, arrears, debt service and capital spending
• Sensitivity tables isolate drivers of revenue gaps and financing requirements
• Model controls protect formulas, assumptions, versions and approval evidence

Participants can prepare tariff decisions for approval and establish monitoring after implementation.

• Tariff approval packs present assumptions, analyses, risks and recommended decisions
• Variance reports compare approved tariffs, actual volumes, costs and collections
• Key performance indicators connect cost-to-serve with reliability and collection outcomes
• Governance calendar assigns data owners, review gates and board approvals
• Regulatory change logs track decisions, evidence sources and implementation actions
• Personal application plan prioritises one tariff, cost or data improvement