The Energy Product Taxonomy

📖 Glossary · ← Learning Hub Lesson 1 Knowledge All Segments
Mapping the full landscape of tradeable energy products across timeframes, commodities, and instrument types.

Energy markets are not one market — they are a stack of coupled markets, differentiated along three primary axes: commodity, timeframe, and instrument type. This lesson organises the full landscape into a single coherent taxonomy you can use as a mental scaffold for everything that follows.

Axis 1: Commodity

The underlying physical commodity determines the market's fundamental characteristics — storability, transportability, and granularity of delivery.

Commodity	Key Characteristic	Primary Exchanges (EU)	Benchmark
Power	Non-storable (direct); must balance in real-time	EPEX SPOT, Nord Pool, EEX	DE Base/Peak, Nordic System Price
Natural Gas	Storable; pipeline-constrained; seasonal demand	ICE Endex, EEX/PEGAS	TTF (NL), THE (DE)
LNG	Globally shippable; cargo-based trading	ICE, CME (JKM)	JKM (Asia), TTF (EU)
Emissions (EUA)	Compliance-driven; limited supply via cap	ICE Endex, EEX	EUA Dec front-year
Guarantees of Origin / RECs	Certificate representing 1 MWh renewable generation	AIB, national registries	Nordic hydro GO, Wind GO

Why storability matters: Power's non-storability (absent batteries/hydro) means the entire market architecture — from day-ahead auctions to real-time balancing — exists to solve the instant-by-instant supply=demand constraint. Gas and LNG markets, by contrast, can use storage as a buffer, making their price formation more similar to traditional commodity markets.

Axis 2: Timeframe (Market Horizon)

Energy products span from years-ahead to seconds-before-delivery. Each timeframe serves a different economic function:

Timeframe	Function	Typical Products	Liquidity Profile
Long-term (1–5+ years)	Investment hedging, PPA structuring	PPAs, long-dated futures, structured contracts	Bilateral; low exchange liquidity
Forward/Futures (months–2 years)	Price risk management, portfolio shaping	Monthly/quarterly/yearly base/peak futures	High on-exchange liquidity (front quarters)
Day-ahead (D-1)	Physical scheduling, price discovery	Hourly/block auctions (power); within-day nominations (gas)	Very high (mandatory for most generators)
Intraday (D to H-1)	Position adjustment after DA, forecast updates	Continuous trading, intraday auctions (15/30/60 min)	Growing; highest near gate closure
Balancing / Real-time	System stability; TSO-procured flexibility	aFRR, mFRR, FCR; imbalance settlement	TSO-administered, not freely tradeable

The cascade principle: Positions flow from long-term to real-time. A generator first sells forward, then optimises residual volume in day-ahead, adjusts in intraday, and faces imbalance prices for any remaining deviation. Each market in the cascade adds granularity (moving from yearly blocks → quarterly → monthly → hourly → quarter-hourly → real-time).

Axis 3: Instrument Type

Within each commodity-timeframe combination, the instrument type determines the contractual mechanics:

Instrument	Settlement	Counterparty Risk	Examples
Physical spot	Physical delivery (next day or intraday)	Exchange-cleared (CCP)	EPEX DA auction, Nord Pool Elspot
Futures	Cash-settled or physical; marked-to-market daily	CCP-cleared	EEX Phelix-DE Base Futures, ICE TTF Futures
Forwards (OTC)	Physical or cash; settled at expiry	Bilateral (unless cleared post-trade)	Bilateral PPAs, broker-intermediated gas forwards
Options	Right but not obligation; premium paid upfront	Exchange or OTC	EEX Power Options, tolling agreements (embedded)
Swaps	Exchange of cash flows (fixed vs. floating)	Bilateral or cleared	Spark spread swaps, locational basis swaps
Contracts for Difference (CfD)	Difference payment vs. reference price	Bilateral or government-backed	UK CfD renewables scheme, HVDC CfDs
Certificates / GOs	Transfer of attribute (not energy)	Registry-based	EU Guarantees of Origin, US RECs

The Three-Dimensional Map

Combining these axes gives the full product space. Any specific product can be located by its coordinates:

                    TIMEFRAME →
                    Long-term    Forward    Day-ahead    Intraday    Balancing
              ┌──────────────────────────────────────────────────────────────────┐
  POWER       │  PPA          Futures    DA Auction   Continuous   FCR/aFRR/mFRR│
              │  (phys)       (fin)      (phys)       (phys)       (administered)│
              ├──────────────────────────────────────────────────────────────────┤
  GAS         │  Long-term    TTF Fut    Within-day   Intraday     Linepack      │
              │  supply agr.  (fin)      nomination   trading      balancing     │
              ├──────────────────────────────────────────────────────────────────┤
  EMISSIONS   │  —            EUA Fut    EUA Spot     —            —             │
              │               (fin)      (delivery)                              │
              ├──────────────────────────────────────────────────────────────────┤
  RENEWABLES  │  PPA+GO       GO Fut     GO Spot      —            —             │
  (certs)     │  (bundled)    (fin)      (transfer)                             │
              └──────────────────────────────────────────────────────────────────┘
              INSTRUMENT: (phys) = physical delivery  (fin) = financially settled

Fig. 1 — The energy product space mapped across commodity × timeframe. Each cell is a market with its own liquidity, participants, and clearing mechanisms.

Coupling Between Markets

These markets are not independent. Key coupling mechanisms include:

Fuel-switching: Gas prices feed into power merit order → TTF and power prices are correlated
Carbon costs: EUA prices add to marginal cost of thermal generation → emissions and power futures co-move
Spark/dark spreads: Cross-commodity spreads (power − fuel − carbon) drive generation dispatch decisions and are traded directly
Market coupling (SDAC/SIDC): Day-ahead and intraday power markets are coupled across borders via implicit allocation of transmission capacity
Convergence: Futures converge to spot at expiry — arbitrage links forward and spot markets for all commodities

Optimization Dimensions

For a portfolio manager or asset optimizer, the product taxonomy reveals the decision space:

Temporal optimization: When to sell — spread volume across the timeframe cascade based on liquidity, forecast confidence, and risk appetite
Spatial optimization: Where to deliver — exploit locational price differences (area spreads, hub differentials) via basis products
Cross-commodity optimization: Exploit spread relationships (spark, dark, clean spark) by jointly optimizing fuel procurement, carbon coverage, and power sales
Flexibility monetization: Use optionality in assets (storage, demand response, flexible generation) to capture value across intraday and balancing markets

Your tangible win: You now have a three-axis coordinate system (commodity × timeframe × instrument) to locate any energy product. Every future lesson will reference a specific region of this map.

Primary Source

For the canonical academic treatment of electricity market design and the rationale behind the timeframe cascade, read:
Kirschen & Strbac, Fundamentals of Power System Economics, 2nd ed. (Wiley, 2018), Chapters 1–3.
These chapters formalize why power markets must be structured as sequential auctions and introduce the economic theory underlying merit-order dispatch.

Retrieval Practice

Why does power require a real-time balancing market while natural gas does not have an equivalent real-time exchange?

Power has more market participants than gas, requiring additional trading venues for liquidity
Power cannot be economically stored at scale, so supply must equal demand instantaneously
EU regulation mandates a balancing market for power but not for gas under REMIT rules
Gas balancing happens via bilateral agreements that are not visible on public exchanges

Retrieval Practice

A "clean spark spread" captures the profit margin of which type of power generation?

Coal-fired generation net of fuel cost and grid fees for delivery to the hub
Gas-fired generation net of both fuel cost and carbon emission allowance costs
Renewable generation net of certificate revenue and balancing responsibility costs
Nuclear baseload generation net of operational costs and long-term waste disposal

Retrieval Practice

In the SDAC (Single Day-Ahead Coupling), what mechanism ensures efficient cross-border trade?

Explicit auction of transmission rights separately from energy, with capacity resale allowed
Implicit allocation where the coupling algorithm co-optimizes energy and cross-border capacity
Bilateral nomination by market participants who must pre-book capacity from the relevant TSO
Flow-based pricing where each node receives its own locational price independent of zones

📖 Glossary — look up any term, then jump straight back

Next: Day-Ahead Auction Design →

💡 Questions about any product category or how markets connect? Ask your teacher — I can dive deeper into any cell of the taxonomy, clarify terminology, or design a focused exercise on a specific area.

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