EU Energy & Cleantech Glossary(Data N Analysis)

This glossary explains the core terms used across European power markets, grid constraints, utility-scale BESS, policy, and project economics. Definitions are written for people making decisions—investors, developers, OEMs, utilities, and lenders—so you'll see not just "what it means", but why it matters and how it shows up in real EU market work.

Our work is grounded in per-unit metrics (€/MWh, €/kWh, MW, GWh) and evidence from sources such as ENTSO-E transparency data, power exchanges, and EU/regulator datasets.

How to use this page

  • If you're scanning a report: start with Power Markets, Grid & Infrastructure, and Storage & Flexibility.
  • If you're underwriting a project: focus on Revenue stack, Merchant exposure, Curtailment, Congestion, PPA/CfD, WACC, LCOE, LOLE.
  • Country rules vary; treat policy items as EU-level concepts unless a term explicitly says "country-specific".

Power Markets & Pricing

Ancillary Services

Definition: Grid support services (e.g., frequency response, reserves) procured to maintain stable operation.

Why it matters

These can form a meaningful part of a BESS revenue stack—but availability and saturation risks matter.

How we use it

We map service types, eligibility, and observed price ranges where public data exists.

Balancing Market

Definition: Real-time (or near real-time) mechanisms TSOs use to balance supply and demand, often via upward/downward balancing energy.

Why it matters

Balancing prices reveal system stress and flexibility value.

How we use it

We compare balancing spread behaviour and link it to outages, RES swings, and interconnector limits.

Bidding Zone

Definition: A geographic market area where a single wholesale price is formed (unless split).

Why it matters

Zone design affects price signals, curtailment, and "where to build" decisions.

How we use it

We normalise analysis by bidding zones and flag where splits distort historic comparisons.

Capture Price

Definition: The average price actually earned by a generator, weighted by its production profile (often lower than baseload average for solar/wind).

Why it matters

This is what underwrites real revenues—especially for merchant RES.

How we use it

We estimate profile-weighted prices and compare them against baseload averages and curtailment risk.

Day-Ahead Market

Definition: The main wholesale electricity market where power is traded for delivery the next day, typically cleared hour-by-hour.

Why it matters

DA prices often set the baseline revenue reference for merchant assets and influence PPA pricing.

How we use it

We analyse hourly DA prices (€/MWh), seasonality, spikes, and negative-price frequency for market comparison.

Intraday Market

Definition: A market for trading electricity closer to real-time (after DA), used to correct forecast errors (wind/solar/demand).

Why it matters

ID can be a material revenue source for flexibility assets and a cost centre for poor forecasting.

How we use it

We look at ID spreads vs DA and how volatility changes near real-time.

Market Coupling

Definition: Coordinated cross-border market clearing that links prices between bidding zones using interconnector capacity.

Why it matters

Coupling can reduce price differences, but congestion keeps spreads alive.

How we use it

We examine price convergence/divergence patterns alongside cross-border flows and constraints.

Negative Prices

Definition: Periods when wholesale prices fall below zero—generators pay to stay online or avoid shutdown costs.

Why it matters

Negative prices can destroy captured price for RES and change storage arbitrage logic.

How we use it

We track frequency, duration, and clustering to assess structural oversupply and inflexibility.

Price Volatility

Definition: The degree of price variation over time (hourly/daily/seasonal).

Why it matters

Volatility drives arbitrage opportunities but increases revenue uncertainty.

How we use it

We quantify volatility (e.g., standard deviation in €/MWh) and link drivers like outages and RES variability.

Others

Availability

Definition: The share of time an asset is able to deliver its contracted or expected service (not down for faults/maintenance).

Why it matters

Many revenue lines (especially ancillary/capacity) pay for availability, with penalties for non-performance.

How we use it

We treat availability and penalty regimes as essential to revenue realism, not a footnote.

Basis Risk

Definition: Risk that a hedge doesn't match the actual revenue exposure (e.g., hedge index differs from node/zone price, or profile differs).

Why it matters

You can be "hedged" on paper and still lose money in practice.

How we use it

We flag where location (congestion) and profile (solar shape) create mismatch between hedges and realized revenues.

Dispatchability

Definition: Ability of an asset to adjust output on demand (up/down), with controllable timing.

Why it matters

Dispatchability is what markets pay for when the system is stressed or constrained.

How we use it

We classify technologies by practical dispatchability and align that with which revenue lines are truly accessible.

Dunkelflaute

Definition: Periods of low wind and low solar output, often in winter, that stress the system.

Why it matters

These events drive scarcity pricing, adequacy debate, and the value of firm flexibility.

How we use it

We locate historical low-RES periods and link them to price spikes and balancing stress.

Flexibility

Definition: Ability to change generation/consumption patterns to match system needs (fast response, ramping, shifting).

Why it matters

High-RES systems increasingly pay for flexibility rather than raw energy volume.

How we use it

We map flexibility value to volatility, constraint indicators, and the actual market products available.

Forecast Error

Definition: Difference between predicted and actual generation/demand, often most relevant for wind/solar and load.

Why it matters

Larger errors increase imbalance costs and drive intraday/balancing activity.

How we use it

We interpret forecast error via intraday liquidity, balancing spread behavior, and curtailment events.

Forward Curve

Definition: A time series of forward prices for future delivery periods (e.g., month-ahead, year-ahead).

Why it matters

It influences valuation, financing assumptions, and whether arbitrage logic is structurally viable.

How we use it

We compare forward curve shape against historical volatility and policy risk to flag fragile assumptions.

Forward Market / Futures

Definition: Markets where electricity (or related products) are traded for delivery months/quarters/years ahead, often via standardized contracts.

Why it matters

Forward prices shape hedge strategy, PPA negotiation, and investor expectations of future revenue.

How we use it

We use forward curves as a reality-check against "single-year" spot narratives, and to stress-test merchant exposure.

Hedging

Definition: Using contracts (PPAs, forwards, swaps, options) to reduce exposure to volatile spot prices.

Why it matters

Hedging can protect downside but may cap upside; it also affects lender comfort.

How we use it

We separate "theoretical revenue" from "hedgeable revenue" under real market liquidity and basis risk.

Imbalance Settlement

Definition: The process and pricing rules used to charge or pay market participants when actual delivery deviates from their schedule.

Why it matters

Imbalance rules can materially change the economics of RES and flexibility, especially for smaller players.

How we use it

We treat imbalance settlement design as a structural driver of risk and a differentiator between markets.

Intermittency

Definition: Variability of generation output due to weather dependence (wind/solar), not controllable dispatch.

Why it matters

Intermittency increases forecast error costs and raises the value of flexibility and transmission.

How we use it

We evaluate intermittency impacts through volatility, balancing needs, and profile-driven capture price.

Locational Risk

Definition: Revenue and curtailment risk driven by where the asset connects on the network and how local constraints behave.

Why it matters

Two projects in the same country can have very different outcomes because of grid reality.

How we use it

We treat locational risk as a first-order driver in "where to build" and "time-to-power" assessments.

Minimum Stable Generation

Definition: The lowest output level a thermal plant can maintain while staying online.

Why it matters

High MSG increases inflexibility, which can deepen negative prices and curtailment in high-RES hours.

How we use it

We use MSG as an explanatory driver for "why prices behave badly" in certain systems.

Nodal Pricing

Definition: Pricing model where electricity price varies by node/location based on marginal cost plus congestion/losses (more common outside much of Europe, though discussed in reform debates).

Why it matters

If adopted or expanded, nodal signals can dramatically change locational economics.

How we use it

We reference nodal concepts when explaining why "single-zone price" can hide constraint-driven risk.

Outage Rate

Definition: Frequency and duration of unplanned plant or network outages.

Why it matters

Outages drive price spikes, balancing stress, and reliability concerns.

How we use it

We cross-check outage signals against price events to avoid attributing everything to "renewables variability."

Price Cannibalization

Definition: When adding more of the same generation type (e.g., solar) lowers prices during its production hours, reducing capture price.

Why it matters

It's a structural headwind for merchant renewables in high-penetration markets.

How we use it

We track capture price trends and negative-price clustering to identify cannibalization intensity.

Price Cap / Intervention Risk

Definition: Risk that regulators impose caps, clawbacks, or emergency interventions that limit upside or change settlement rules.

Why it matters

It changes tail-risk distribution and can undermine financing cases built on extreme events.

How we use it

We tag this as a "regulatory kill-risk" when upside depends on rare spike events.

Ramp Rate

Definition: How quickly a plant can increase or decrease output (e.g., MW per minute).

Why it matters

Determines eligibility and competitiveness in fast-response services and real-time balancing.

How we use it

We treat ramp rate as a gating factor for which revenue lines are feasible.

Risk Premium

Definition: The extra return investors demand to take on uncertainty (price risk, policy risk, execution risk).

Why it matters

A high risk premium is often the hidden reason projects stall or valuations compress.

How we use it

We translate qualitative risks (grid, policy, saturation) into "which assumption is doing the heavy lifting" in the model.

Scarcity Pricing

Definition: Price formation that allows high prices during tight supply conditions to signal scarcity and incentivize flexibility/investment.

Why it matters

Scarcity events can make or break merchant economics for flexible assets, if regulation allows the signal.

How we use it

We examine spike frequency/duration and policy constraints (caps, interventions) that suppress scarcity signals.

Data & Modelling Methods

Backtesting

Definition: Testing model predictions against historical outcomes; MAE and RMSE are common error measures.

Why it matters

Prevents "pretty models" that don't match market behaviour.

How we use it

We validate outputs before using them in decision-facing conclusions.

ENTSO-E Transparency Platform

Definition: A major EU source for system data such as demand, generation, flows, outages, and (in many cases) prices.

Why it matters

Hourly/15-minute system data is the fastest way to separate narrative from reality.

How we use it

We build country-hour datasets and cross-check with exchanges and secondary sources.

Revenue Stack

Definition: The full set of revenue streams an asset can earn (energy, balancing, ancillary, capacity, support contracts), plus the risks attached to each.

Why it matters

Storage and flexible assets rarely survive on one revenue line.

How we use it

We map revenue stack components, then tag stability vs saturation vs policy dependency.

Triangulation

Definition: Cross-verifying the same signal across multiple sources to reduce error and bias.

Why it matters

Single-source analysis fails quietly.

How we use it

We cross-check ENTSO-E, exchanges, and reputable secondary datasets before final conclusions.

Finance & Metrics

Bankability

Definition: Whether a project's revenues, risks, and contracts are acceptable to lenders and investment committees.

Why it matters

"Technically viable" can still be "finance impossible".

How we use it

We connect revenue stability, policy risk, and grid constraints into a bankability narrative.

CAPEX / OPEX

Definition: Capital expenditure (build cost) and operating expenditure (run cost).

Why it matters

CAPEX affects required returns; OPEX shapes resilience under price pressure.

How we use it

We benchmark technology economics using consistent cost categories.

HHI (Herfindahl–Hirschman Index)

Definition: A market concentration index used to assess how concentrated ownership/market power is.

Why it matters

Concentration affects pricing behaviour and competitive dynamics.

How we use it

We apply HHI to ownership and generation mix when analysing market structure.

LCOE (Levelized Cost of Energy)

Definition: The average cost per MWh of generating electricity over the asset lifetime, including capex/opex and financing assumptions.

Why it matters

Useful benchmark, but it's not the same as revenue or profitability.

How we use it

We compare LCOE against observed/expected price patterns and capture price, not against a single average.

Merchant Exposure

Definition: The share of revenues that depends on market prices rather than fixed contracts/support.

Why it matters

Higher merchant exposure increases upside and downside; lenders care about downside.

How we use it

We map merchant vs contracted revenue within the revenue stack and stress-test volatility.

Per-Unit Metrics(€/MWh, €/kWh, MW, GWh)

Definition: Standardised units that allow apples-to-apples comparisons across countries and technologies.

Why it matters

Without normalisation, cross-market comparisons are often misleading.

How we use it

This is the backbone of our datasets and visuals, used across reports.

PPA (Power Purchase Agreement)

Definition: A contract to buy electricity at agreed terms (fixed, indexed, floor/ceiling, etc.).

Why it matters

PPAs can stabilise revenues but can be complex and credit-dependent.

How we use it

We treat PPA structure as a bankability lever and compare typical structures across EU markets.

WACC (Weighted Average Cost of Capital)

Definition: The blended cost of capital used to discount cash flows, reflecting debt/equity costs and risk.

Why it matters

WACC is often the biggest swing factor in project viability.

How we use it

We run sensitivity scenarios to show "how much risk is being priced in."

Storage & Flexibility (BESS)

Battery Energy Storage System

Definition: A battery-based asset that stores electricity and dispatches it later; sized by power (MW) and energy (MWh).

Why it matters

BESS economics depend on market design, volatility, grid constraints, and degradation.

How we use it

We model revenue stack by market (energy, balancing, ancillary, capacity) and stress-test bankability.

Capacity Mechanism / Capacity Payment

Definition: Market design where assets are paid for being available to provide capacity, not just energy delivered.

Why it matters

Can stabilise revenues, but eligibility rules and penalties matter.

How we use it

We treat capacity revenue as conditional and test downside scenarios.

Cycle Life

Definition: Number of charge/discharge cycles a battery can perform before reaching end-of-life thresholds.

Why it matters

Determines how "hard" you can run the asset without destroying economics.

How we use it

We test revenue stacks against practical cycle constraints.

Degradation

Definition: The loss of usable battery capacity and performance over time and cycles.

Why it matters

Degradation directly affects lifetime MWh throughput and net revenues.

How we use it

We include degradation in cycle economics and revenue realism checks.

Depth of Discharge

Definition: How much of the battery's capacity is used during a cycle (percentage).

Why it matters

Higher DoD often accelerates degradation but can increase per-cycle value.

How we use it

We avoid "perfect dispatch" assumptions by reflecting DoD trade-offs in modelling.

Round-Trip Efficiency

Definition: Percentage of energy recovered after charging and discharging a storage system.

Why it matters

Lower RTE reduces arbitrage profitability and changes optimal dispatch.

How we use it

We apply RTE assumptions consistently when comparing cycle economics across markets.

Utility-Scale vs Behind-the-Meter

Definition: Utility-scale connects to the grid; BtM sits behind a customer meter (often reducing bills and peak charges).

Why it matters

The value drivers, regulation, and data availability differ sharply.

How we use it

We keep these segments separate in sizing, economics, and policy mapping.

Policy & Regulation

CfD (Contract for Difference)

Definition: A support contract where an asset receives a top-up (or pays back) depending on the difference between market price and a strike price.

Why it matters

Reduces merchant exposure but depends on scheme rules and reference pricing.

How we use it

We model CfD as a bankability lever and flag scheme-specific risks.

EU ETS (Emissions Trading System)

Definition: EU carbon pricing mechanism where emitters need allowances (priced in €/tCO₂).

Why it matters

ETS affects marginal generation costs and wholesale prices—especially in thermal-heavy systems.

How we use it

We incorporate ETS price as a driver in price/volatility attribution work.

FiT / Premiums (Feed-in Tariff / Feed-in Premium)

Definition: Support mechanisms that pay a fixed tariff (FiT) or an add-on premium on top of market prices.

Why it matters

Affects investment flows and project risk-return, but policy stability is crucial.

How we use it

We map which mechanisms exist and how they interact with market revenues.

Market Design

Definition: The rules and mechanisms that shape how electricity is priced, traded, and balanced (including reforms).

Why it matters

Small rule changes can shift storage value, RES economics, and hedging options.

How we use it

We translate policy text into decision-relevant impacts on revenue and constraints.

Windfall Taxes / Price Caps

Definition: Policy tools that limit prices or capture excess revenues during crises.

Why it matters

They alter tail-risk and lender confidence.

How we use it

We treat these as "regulatory kill-risk" variables in market attractiveness scoring.

Grid & Infrastructure

Congestion

Definition: When grid capacity limits prevent power from flowing freely, causing local constraints and price differences.

Why it matters

Congestion shapes locational risk, curtailment, and the value of flexibility and transmission upgrades.

How we use it

We map congestion hotspots using flows, price separation, and redispatch signals where available.

Curtailment

Definition: When a generator is forced to reduce output (often due to grid congestion or system limits).

Why it matters

Curtailment is a direct hit to revenue and a signal of local saturation.

How we use it

We combine system data and constraint indicators to identify where curtailment is structural vs episodic.

Distribution System Operator

Definition: Entity responsible for local distribution networks (medium/low voltage).

Why it matters

DSOs often become the bottleneck for behind-the-meter and distributed flexibility connections.

How we use it

We treat DSO constraints as separate from transmission congestion when mapping connection reality.

Grid Connection Queue

Definition: The pipeline of projects waiting for grid connection approval and physical capacity.

Why it matters

"Pipeline MW" is not "deliverable MW". Queues can be the real limiter on growth.

How we use it

We treat queue/connection rules as a primary constraint variable in country opportunity assessment.

Interconnector

Definition: Cross-border transmission line enabling electricity trade between countries/bidding zones.

Why it matters

Interconnectors can reduce price extremes—but can also become binding constraints.

How we use it

We link flows and price spreads to understand when interconnectors are helping vs saturated.

Loss of Load Expectation

Definition: Expected number of hours (or time) in which demand may not be met without additional measures.

Why it matters

A key adequacy signal used in system planning and capacity market design.

How we use it

We use LOLE as a risk indicator—not a standalone "go/no-go".

Redispatch

Definition: Actions TSOs take to change generation dispatch to relieve congestion (often with compensation costs).

Why it matters

High redispatch signals grid stress; it can also affect market signals and project economics indirectly.

How we use it

We track redispatch-related indicators and interpret them as "system friction" for deliverability.

System Adequacy

Definition: Whether the power system has enough reliable capacity to meet demand under stress conditions.

Why it matters

Adequacy drives capacity mechanisms, price formation under scarcity, and reliability policy.

How we use it

We interpret adequacy metrics (including LOLE) alongside reserve margins and peak stress patterns.

Transmission System Operator

Definition: Entity responsible for high-voltage grid operation and system security.

Why it matters

TSOs influence grid access, curtailment rules, and balancing mechanisms.

How we use it

We reference TSO plans and operational data when assessing constraints and adequacy.

Want this glossary in your report format?

If you tell us the markets and technologies you care about (e.g., Germany utility-scale BESS, UK balancing, Spain solar capture price), we'll prioritize the relevant term set and add country notes where appropriate.