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Valuation & pricing

PPA intelligence for valuation and pricing

Build, test, and defend PPA price assumptions using fair value modelling, asset-specific data, and long-term power market forecasts.

Veyt helps valuation and pricing teams assess contract value, benchmark offers, and quantify how location, technology, structure, and risk allocation affect PPA pricing across European renewable power markets.

In-depth coverage of
  • Solar PV
  • Onshore wind
  • Offshore wind
  • European PPA markets
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Decision inputs valuation and pricing teams rely on

Valuation and pricing teams need traceable inputs that explain how PPA value changes across asset location, technology, contract structure, and time horizon.

PPA fair value

  • Build price assumptions using market-based fair value modelling
  • Compare fair value across countries, bidding zones, and technologies
  • Assess how start date, tenure, and contract structure affect value

Geotargeted asset valuation

  • Value PPAs using country, bidding zone, TSO, and asset-level inputs
  • Compare location-specific capture price, imbalance cost, and generation profile
  • Assess existing and planned assets against local market conditions

Price breakdowns

  • Break down PPA value into base price, capture cost, and imbalance cost
  • Include GO value in pay-as-produced pricing assumptions
  • Trace pricing components behind buyer-seller economics

Market and model pricing

  • Compare market-based pricing with modelled fair value
  • Benchmark offers against observed price ranges and market indications
  • Identify where offer prices diverge from fair value assumptions

Contract structure and tenure

  • Assess value differences across pay-as-produced contract structures
  • Test how contract duration changes exposure and price assumptions
  • Evaluate how CPI indexation affects long-term pricing

Risk-adjusted pricing inputs

  • Quantify weather and volume risk in PPA valuation
  • Assess how capture and imbalance risk affect contract value
  • Compare prices with and without risk adjustments

Why PPA price assumptions are difficult to defend

PPA price assumptions often fail when they rely on broad market references instead of asset-specific valuation, contract-level risk allocation, and traceable pricing components.

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Location changes value materially
  • Country and bidding-zone differences affect fair value
  • Local generation profiles change capture price and imbalance exposure
  • Asset-level inputs are needed for consistent valuation
Contract terms change the economics
  • Tenure affects exposure to power market and inflation assumptions
  • Pay-as-produced structures allocate volume risk between parties
  • CPI indexation changes long-term buyer-seller value
Offer prices are not always comparable
  • Transaction data rarely reveals full contract economics
  • Contract structure, tenure, and location affect comparability
  • Benchmarking requires fair value, not only market observations
Risk adjustments affect price outcomes
  • Weather risk can materially change expected production value
  • Volume risk affects buyer exposure in pay-as-produced structures
  • Risk-adjusted prices can differ significantly from headline fair value
Long-term valuation depends on market forecasts
  • Power price assumptions shape expected contract value
  • Capture price development affects renewable asset economics
  • Market scenarios change pricing across contract periods
Drivers
Tracking short- and long-term market trends to clarify current and potential impacts from disparate drivers
Market behaviour
Analysing participant behaviour and market sentiment while commenting on price drivers. An in-depth focus on industry sectors by understanding their marginal abatement costs and trade behaviour allows for informed decision-making. Our pan-European power market modelling is the backbone for our granular utility-sector insights and hedging strategy analysis
Policy developments
Following relevant European carbon and energy market legislation, providing foresight on political outcomes, and assessing market impacts
Supply & demand forecasts
Generating insights on how policy ambition and regulatory change shape short- and long-term supply dynamics. Addressing sensitivities of key assumptions for EU ETS market participants. Following sector-specific trends, production data, and decarbonisation pathways to track and forecast demand for carbon European Union allowances (EUAs)
Technical analysis
Identifying key trends in the market, spotting relevant support/resistance levels, and technical patterns
Market data
Key market data for the EU ETS and the wider energy complex. Prices, volume, open interest, seasonality charts to assess liquidity, and participant behaviour

Key PPA market drivers valuation teams monitor

PPA valuation is shaped by power market expectations, asset location, technology, contract design, and risk allocation.

Base power prices anchor PPA fair value
Long-term power forecasts shape valuation assumptions
Market scenarios affect contract value across time horizons
Location affects generation profile, capture price, and imbalance exposure
Solar PV, onshore wind, and offshore wind carry different value drivers
Country, bidding-zone, and TSO-level differences shape pricing assumptions
Capture costs reduce realised value compared with base price
Renewable buildout can increase cannibalisation over time
Technology-specific generation profiles affect future revenue assumptions
Imbalance costs affect fair value and risk allocation
Technology and location influence imbalance exposure
Contract structure determines how imbalance costs are reflected in pricing
Pay-as-produced contracts allocate volume risk to the buyer
Contract tenure affects exposure to market and inflation assumptions
CPI indexation changes long-term contract value
Weather variation changes expected generation and revenue distribution
Volume risk affects valuation under pay-as-produced structures
Risk assumptions influence fair value and pricing confidence
Liquidity affects confidence in observed market pricing
Deal flow shows where pricing activity is concentrated
Transaction trends reveal active counterparties, sectors, and structures

How valuation and pricing teams use Veyt

Veyt combines fair value modelling, geotargeted asset valuation, market data, risk analysis, and long-term forecasts into one workflow for PPA pricing.
Price assumption setting
  • Build PPA price assumptions using fair value outputs
  • Compare assumptions across countries, bidding zones, and technologies
  • Align price inputs with contract structure, tenure, and start date
Offer benchmarking
  • Benchmark PPA offers against fair value and market indications
  • Compare price ranges across technologies and regions
  • Identify whether offers reflect underlying market and contract risk
Asset-specific valuation
  • Use geotargeted valuation to assess location-specific fair value
  • Compare existing and planned assets using consistent pricing logic
  • Assess project economics using local market and weather inputs
Pricing component analysis
  • Trace value across base price, capture cost, imbalance cost, and GOs
  • Assess how individual components affect buyer-seller economics
  • Compare risk allocation across contract structures
Risk-adjusted valuation
  • Compare fair value with and without risk adjustments
  • Quantify weather and volume risk in pricing assumptions
  • Assess downside exposure across scenarios and contract periods
Cross-market consistency
  • Apply consistent valuation logic across European PPA markets
  • Compare pricing assumptions across solar, onshore wind, and offshore wind
  • Use structured outputs across internal valuation and pricing workflows

Customisable views for valuation and pricing workflows

Valuation and pricing teams focus on different inputs depending on asset location, contract structure, technology, and investment horizon.
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Valuation teams
  • Build asset-specific fair value assumptions
  • Compare valuation outputs across locations and technologies
  • Assess sensitivity to contract structure and risk assumptions
Pricing teams
  • Benchmark offers against fair value and price ranges
  • Trace pricing components behind headline PPA values
  • Monitor market indications and pricing changes
Investment teams
  • Use fair value outputs in project revenue assumptions
  • Assess location-specific value across renewable assets
  • Compare long-term economics across markets and technologies
Originators and structuring teams
  • Compare buyer-seller economics across contract structures
  • Assess how tenure and indexation affect pricing
  • Use fair value outputs to support negotiation strategy
Quantitative and modelling teams
  • Integrate fair value and pricing components into internal models
  • Use structured datasets for PPA valuation workflows
  • Compare internal price assumptions with Veyt outputs

PPA intelligence platform — At a glance

The Veyt PPA intelligence platform combines market data, asset-level modelling, pricing components, risk analysis, and analyst interpretation into a single valuation workflow.
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PPA fair value map
Asset-level PPA pricing
Fair value calculator
Bidding zone analysis
Technology and contract modelling
Price component breakdown
Weather and volume risk
Capture price exposure
PPA deal flow
European market liquidity

What the platform provides

Standard capabilities

  • PPA fair value modelling across technologies, locations, and contract structures
  • Geotargeted asset valuation using location-specific market and weather inputs
  • Price breakdowns covering base price, capture cost, imbalance cost, and GOs
  • Risk-adjusted valuation covering weather, volume, capture, and imbalance exposure
  • Market data covering price indices, quotes, liquidity, and transaction activity

Additional capabilities

  • Fair value calculator for contract start date, tenure, and pricing structure
  • Interactive maps for country, bidding zone, TSO, and asset-level comparison
  • Long-term power price and capture price forecasts
  • Price range and market indication data across European PPA markets
  • Transaction database covering more than 1,000 PPA deals
  • Analyst updates and monthly market reports
  • Structured datasets supporting internal valuation and pricing workflows

Who this is for

  • Valuation teams building PPA price assumptions
  • Pricing teams benchmarking offers and contract value
  • Investors and developers assessing renewable asset economics
Additional users
  • Originators and structuring teams
  • Corporate energy buyers
  • Utilities and energy suppliers
  • Risk and hedging teams
  • Quantitative and modelling teams
  • Market analysts and advisors

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