New UK capacity market information & its impact

The UK government has released further details of its intended approach for the 1st capacity auction, now scheduled for December 2014.  These provide information on factors such as bidding rules, auction process and the publishing of information to the market.

DECC has also confirmed that 15 year capacity agreements are available for new build plant (rather than the initially proposed 10 years).  This should materially reduce the cost structure of new build plant.  Importantly it is also likely to provide a bigger relative benefit to OCGT versus CCGT plant.  Most UK asset developers are focused on CCGT development.  But in our view the Capacity Market brings the OCGT investment option back on to the table.

What’s new from DECC?

DECC’s Capacity Market policy team released a ‘working synthesis’ specification paper in early April.  The paper emphasises the ‘work in progress’ nature of some of the information announced.  But this paper has clearly been released to provide a guidance update on DECC’s intentions given the rapidly approaching 1st auction.

Key details in the paper include:

  • 75 £/kW auction price cap in 2012 terms – escalated at CPI to delivery year.
  • Price taker/setter threshold to be published at a later stage (based on net CONE).
  • 15 year capacity agreements are now available for new build plant, but DECC refurbishment agreements remain limited to a maximum of 3 years.
  • Refurbishment and new build capacity thresholds confirmed as in Oct 2013 (i.e. 125 and 250 £/kW), note that this is on de-rated not nameplate capacity.
  • Non-performance penalties are to be capped at 200% of monthly capacity payment revenues, with an overarching annual cap of 100% of capacity revenue.
  • DECC’s aim is to include interconnectors in the 2015 auction.

There are no standout surprises here, but these details provide some further clarity to feed into pre-qualification submissions and bidding strategy development.  The diagram below that we published previously, is a reminder of the key elements of the capacity market structure.

cap mkt

Auction process and DECC published information

Auction format

DECC has also provided some more clarity on how the auction rounds may evolve.  There will be up to 4 auction rounds per day for up to 4 days.  DECC suggests it intends to step price down in small decrements.  An example of 5 £/kW is given, which is consistent with the 75 £/kW cap and maximum of 16 auction rounds.  A full price schedule will be published as part of the auction guidelines.

DECC published information

DECC has indicated it intends to provide some useful details on capacity supply following the pre-qualification stage.  This includes:

  • Which CMUs qualified for the auction and at what de-rating, and whether as existing, new or refurbishing plant – but not whether they qualified as price maker or taker
  • Which CMUs have opted out and how much capacity will be deducted from the demand curve
  • Which CMUs said they will be retiring / unavailable (and so not had their capacity deducted from the demand curve).

However during the auction information release will be limited to how much spare capacity there is at the conclusion of each auction round.  This again raises a key question as to how much information players will actually gain from one auction round to the next (e.g. on implied energy market expectations).  And whether there will actually be much market participant adjustment of capacity bids through the auction rounds.

Auction cancellation

The government also retains a key ‘get out of jail’ card.  DECC intends to require all pre-qualified participants to confirm auction participation 10 business days prior to the 1st auction.  This includes whether they are price takers or setters and their intended length of contract.  Two business days later a list will be sent to the Secretary of State who has the ability to cancel the auction if it is not deemed to be sufficiently liquid/competitive.   Given the market design complexity, remaining uncertainty and tight timelines, it would seem a prudent strategy for market participants to have an auction delay contingency plan close to hand.

New CCGT vs OCGT

UK generation asset developers have historically focused on CCGT plant.  From a total asset margin perspective this makes complete sense.  CCGT have a clear efficiency advantage over OCGT and with 30GW of existing CCGT capacity merit order competition is fierce.  As a result it is hard to build an OCGT investment case based on significant energy margin returns.

However the availability of 15 year fixed price capacity agreements may change the UK power market investment landscape.   With a capacity price cap of 75 £/kW/year, new build CCGT plant will still need to bank on recovering a healthy energy margin (given capital costs in excess of 100 £/kW/year).  But energy margin expectations may be heavily discounted by players given the potential for capacity overbuild and general market uncertainty.  CCGT plant may still be the best solution on a total margin basis, but the capacity market design is swinging the balance back towards OCGT assets.

An OCGT investment case will revolve principally around capacity margin.  So CCGT investment concerns over energy margin expectations and tolling agreements disappear.  OCGT capital costs are also significantly lower than for CCGT.  And if plant margin is covered under a 15 year capacity agreement, there are some attractive leveraging options.  There do not appear to be many ‘auction ready’ OCGT projects out there.  Yet a credible OCGT development option may undercut new build CCGT as well as being a valuable diversification opportunity for generation portfolio players.

We offer bespoke workshops on the commercial implications of the Capacity Market. These can be tailored to address issues such as business impact, asset strategy and market pricing dynamics. If you are interested please contact us.

Unique energy risk management characteristics

This is the second in a series of articles on the principles of energy risk management, written by Nick Perry.

In the previous article we considered a range of common misconceptions about risk management in energy companies, not least of which is the notion that hedging is trivial for portfolios not containing options, i.e. for exposures with linear ‘delta’.  (Did you solve the two-minute challenge?)

In this second article we are again putting options aside for now, to focus on ways in which even basic risk management for energy is more demanding than for other commodities.  In most cases the reasons stem from fundamental characteristics that will not change or improve over time.  We take a look at some of the important risk management implications of these characteristics in the form of volatility, volumetric risk and basis risk.

Volatility

When natural gas became a traded commodity for the first time, levels of volatility were encountered that re-wrote the game-book on what constituted high volatility.  For example it is not unusual for spot gas volatility to rise to levels above 100% on an annualised basis, around 10 times greater than spot foreign exchange volatility.  When power started to be traded some years later, the books were revised again: electricity is the most volatile commodity ever traded. Spot power volatility can rise to levels above 1000% (annualised).

The reasons are clear, and will not change any time soon.  These commodities are extremely ‘granular’: gas portfolios must be balanced daily and power in real-time; and storage of both is difficult – in the case of electricity, quite exceptionally difficult.  These factors will drive considerable volatility in spot markets for as long as they persist which, being based on the laws of physics, will be for the foreseeable future.  And almost every aspect of risk management is made more problematic by high volatility.

Volatility is a key driver of the value of asset & contract flexibility.  As a result there is an important relationship between volatility and energy portfolio risk, given the inherent flexibility of most energy portfolios.  Flexibility can be considered in two categories: owned flexibility (e.g. upstream production flex, gas storage capacity, power plant) and sold flexibility (e.g. gas swing contracts, retail power contracts).  Effectively managing sold flexibility exposures against underlying asset positions in energy portfolios, is one of the key challenges of energy risk management (given high price volatility) and one we return to in more detail later in this series.

Volumetric Risk

In most commodities, the volumetric aspects of a deal are unremarkable.  I buy 10,000 tonnes of steel, and that’s what is delivered.  But when I enter a contract for gas and power, as an end-user I will very rarely be able to specify the amount I will buy.  On the coldest day in winter, will I turn on every heating appliance in the house – or will I go on a skiing vacation and use nothing?  Or cancel my contract and switch suppliers?

It is not just retail portfolios that suffer from volumetric uncertainty.  Demand for gas and power are remarkably sensitive to ambient temperature; and power plants can trip at any time: just two of the many vicissitudes of the sector.  In systems that must balance in real-time, such uncertainties – often termed Volumetric Risk – present very complex challenges (and, incidentally, contribute significantly to the volatility mentioned above).  Once again, this problem is far more acute in energy than in any other commodity.

Take the prompt exposures of a vertically integrated power portfolio as an example.  The portfolio needs to be broadly balanced in real-time to avoid exposures to very volatile prompt and balancing prices.  Volumetric risk in the portfolio stems from the flexibility sold to customers via retail contracts.  Customer load may swing substantially over short periods (e.g. given changes in weather conditions).  Given short term market liquidity constraints, this exposure is often managed via ownership of flexible power plants (e.g. gas peaking assets).  However forced outages on generation assets can add to the complexity of volumetric risk, given that these may leave wholesale contract and retail positions exposed to volatile prompt prices.

Basis Risk

Basis risk – where the variability of the value of an underlying exposure is not perfectly inversely correlated with that of its hedge – can be an issue in any portfolio.  But in energy there are more twists than usual.  In particular:

Delivery point:   the complexities of transportation for gas and power, and sometimes also coal and even oil, mean that end-users and smaller wholesale players are often uncomfortable with taking settlement at one of the handful of delivery-points at which hedges are most readily found, which may be a long way from their ‘natural basis point’.  Thus, locational basis is a very common issue in energy markets.

For example, liquidity in European coal is focused around API2, a specified set of conditions for delivery of coal to Amsterdam- Rotterdam-Antwerp (ARA).  Yet many owners of European coal-fired plant use API2 contracts to hedge coal delivery to locations which are separated both geographically and logistically from the ARA area.

Quality / specification:  there are very many grades of oil and coal, but hedges only exist for a handful of grades.  The well-traded hedging grades will for the most part be highly correlated with other grades, but not perfectly so: and small differences multiplied by large volumes over long periods of time can add up – particularly for the many energy players operating a margin business model, such as refiners, thermal generators and retailers.

Chart 1: Brent vs WTI crude oil spot price basis

Noname

Worse still, even high correlations can break down over time.  Chart 1 illustrates perhaps the most famous recent example of WTI and Brent, the two most commonly-traded crude-oil blends which are of slightly different quality, with delivery-points in the USA and Europe respectively.  From being very well correlated for many years, starting in 2011 the price of WTI relative to Brent collapsed (as a result of a flood of new unconventional domestic oil production in the US and constrained local infrastructure).  It is a fact that, based on the years of good correlation, some US oil-market participants hedged their European oil exposures using WTI, an instrument they were very familiar with. The correlation breakdown uncovered an unwelcome basis risk exposure behind their apparently hedged positions.

Although electricity and natural gas do not have ‘grades’ in quite the same way as oil, power is commonly traded as ‘baseload’ and ‘peak’ despite more granular underlying exposure shape;  in Northern Europe there is a low-calorific ‘grade’ of gas alongside the usually-traded hi-cal commodity; and in both markets, weekend prices are not identical to weekday prices.   Here again, basis risk can complicate a hedging strategy.

Conclusions

In any commodity, deployment of risk management tools for even ‘simple’, linear exposures hinges materially on market liquidity – the ready availability of spot and forward deals that enable portfolio imbalances and exposures to be managed.  But because of the unique difficulties associated with gas and power discussed above, and exacerbated by global financial conditions, gas and power market liquidity is frequently unsatisfactory.  This leads some players to assert that vertical integration is a necessary base for risk management in large energy companies – an uncomfortable conclusion for regulators and other energy-market stakeholders who consider that open, competitive and liquid markets are critical to ensuring secure and economically efficient supplies.

Whatever stance is taken on the issue of vertical integration, the compounding difficulties of market fundamentals and liquidity result in considerable premium being placed on pragmatism and experience in energy risk management, in parallel with excellent technical skills.

They also dictate an emphasis on flexibility within the portfolio itself.   And since flexibility translates into optionality, we quickly find ourselves needing to wrestle with the complexities of risk-managing options!  It is to this that we turn in the next part of the series.

Nick Perry is a Senior Advisor with Timera Energy.  He has extensive energy industry expertise specialising in portfolio & transaction structuring, risk management, market dynamics and regulatory issues. He has spent over 20 years working in the gas and power industries for Exxon, Amoco and Enron, where he was a Board Director of Enron Europe.

Timera Energy provides tailored in-house corporate training services covering, amongst other areas, energy risk and portfolio management. If you are interested in finding out more please contact us.

Germany vs UK generation margin comparison

Comparisons between Germany and the UK are always an interesting exercise.  Germany is impressive in its efficiency, structured approach and longer term thinking.  The UK prides itself on flexibility, independence and innovation.  Interesting contrasts between Germany and the UK can be extended across business, culture and food.  For example, a shared passion for beer and sausages (but of very different styles) is worthy of an article in itself.  But this article focuses on a comparison of generation margins in the German and UK power markets.

Germany is a key driver of wholesale price and margin dynamics across NW Europe.  This is a result of market scale, high levels of interconnection and the export implications of aggresive renewable build.  The UK on the other hand is still a relatively isolated power market.   But it is a key test case for the future of conventional generation margins in Europe, given that the UK is leading the European push to implement capacity markets.  A comparison between Germany and the UK sheds light on many of the challenges gas and coal plant owners face across Europe.

Germany is about coal

An historical chart of German power prices resembles a descent down a steep mountain.  A rapid increase in renewable capacity, combined with falling coal prices and relatively weak  post financial crisis demand, have resulted in relentless downward pressure on wholesale prices.

Gas and coal generators face three important implications from the rise in low variable cost renewable capacity:

  • The average variable cost of plant on the margin is falling, reducing power prices.  Gas plant is now largely out of merit, with coal and increasingly lignite dominating marginal price setting.
  • The load factors of gas and coal plant are declining as renewable output increases
  • Wind and particularly solar output are acting to flatten within-day price shape, which tends to negatively impact gas and coal plant margins.

These factors are common across European power markets as renewable capacity expands.  But they are particularly pronounced in Germany given the scale of renewable roll out.  And Germany is exporting these effects across NW Europe (e.g. to the Netherlands where gas plant load factors have plummeted).  The impact on German coal plant (clean dark spread) and gas plant (clean spark spread) generation margins is shown in Chart 1.

Chart 1: Evolution of German CDS and CSS

DE spreads

Coal plant margins are currently weak compared to historical levels.  But they have held up relatively well given the decline in German power prices.  Falling coal plant revenue has been offset by falling fuel costs (as coal prices have declined), and with coal plant predominantly setting marginal prices, margins have been relatively stable.

Coal margins are facing renewed pressure from around 10GW of new coal & lignite capacity coming online between 2011-14.  But importantly going forward, coal plant are somewhat  insulated from rises in carbon prices, given that these tend to feed through into higher power prices with coal on the margin.

The story for German gas plant is not a happy one.  Given gas plant is out of merit, falling coal and power prices have caused sharp declines in spark spreads.  As spreads head deep into negative territory, gas plant are suffering negative cashflow as they absorb fixed costs.  Revenue opportunities are focused on reserve payments and increasing volumes of capacity is being closed, mothballed or signed over to TSOs to provide system support.  Gas plant margin recovery hopes are firmly focused on implementation of a capacity market (being discussed for later this decade).

The UK is about gas

Renewable build in the UK is having a similar impact to Germany, but on a smaller scale (and with less solar capacity).  The key difference between the two markets is the large volume (~30GW) of CCGT capacity that dominates marginal price setting in the UK.  This results in a very different generation margin environment, shown in Chart 2.

Chart 2: Evolution of UK CDS and CSS

UK spreads

Spark spreads in the UK are weak.  About a third of UK gas capacity runs at zero or very low load factor.  But they have been relatively stable, avoiding the dive into negative territory seen in Germany.

It is difficult to envisage a scenario in the next decade where UK gas plants are driven off the margin as has happened in Germany.  But at current spark spreads, CCGTs are struggling to recover fixed & capital costs.  And the UK market hangs precariously in the balance awaiting a tightening capacity margin and implementation of the capacity market.

The story for UK coal plant margins has been a more positive one.   Generators are earning relatively strong margins given rents from higher cost gas plant setting marginal prices.  But UK coal plant are more exposed to increases in carbon cost given gas plants are on the margin, as can be seen more recently in Chart 2.

Coal generators are facing the combined impact of carbon backloading (although this appears to be fading) and the rising UK carbon price floor.  The government’s freezing of UK carbon price support announced this month has improved the margin outlook for coal plant later this decade.  But UK generators are facing some key investment decisions around capex spend to ensure IED (EU emissions law) compliance if they want to run beyond 2023.

A comparison of Germany and the UK illustrates the difference between markets where coal vs gas plant set marginal prices.  German market dynamics are increasingly driving generation margin behaviour in neighbouring markets.  The UK in contrast remains relatively insulated from these effects given limited interconnection and large volumes of gas capacity.  But a common theme across both markets is the battle that policy makers face trying to decarbonise their power sectors in a world awash with cheap coal.

US wild winter volatility a reminder for Europe

It has been a very mild winter in Europe and gas demand has been soft. As a result weakness in winter/summer hub price spreads has continued and price volatility remains in the doldrums.  Even the threat of Russia flexing its muscles and restricting supply via Ukraine has so far had a limited impact on hub pricing.

But for a real case study in depressed seasonal price spreads and volatility look no further than the US.  The last 5 years have seen the US gas market transition to conditions of pronounced structural oversupply.  The factors driving this are relatively simple and well understood.  Domestic unconventional gas production has surged, with surplus gas production trapped in the US given limited export infrastructure.  As a result seasonal spreads and volatility have been crushed.  At least until this winter…

What is going on in the US?

Given structural conditions of oversupply, it is easy to become complacent about the short term inelasticity of gas supply and demand.  While supply and demand for gas are responsive to price over a multi-year horizon, they can be very unresponsive to price over a shorter horizon.

The US gas market has experienced this with a bang this winter.  Henry Hub spot prices surged to over 8 $/mmbtu, levels not seen since the second half of 2008.  Front month prices peaked at over 6 $/mmbtu, up more than 50% in 2014, before slumping more than 10% in a day in late Feb.  While these price movements reflect a market that has been caught off guard, the cause of the jump in prices is relatively simple.

A prolonged cold winter in the US has seen gas demand up around 10% compared to last year and this has sharply eroded gas storage levels.  Chart 1 illustrates the relationship between the front month Henry Hub futures contract and the decline in storage levels.

Chart 1: Henry hub prices spike as storage inventories decline

price & storage

Source: EIA

Prices have risen at Henry Hub to incentivise further storage withdrawals and other system deliverability.  This is a similar to the dynamic that was witnessed in March 2013 when European storage responsed to sharp UK price signals.  But unlike the UK example, prices at Henry Hub remained below levels required to attract significant LNG incremental imports (the ultimate backstop for a short US market).

In response to the price squeeze at Henry Hub, month-ahead volatility has also surged above 100% from levels below 40% at the start of winter, as shown in Chart 2.  However, March implied volatility has declined sharply as the cold snap has eased, suggesting the market is pricing this as a temporary event.

Chart 2: Henry Hub front month historic and implied volatility explodes into life

HH vol

Source: EIA

The impact on spot volatility (a key factor driving storage optimisation) is even more pronounced. Chart 3 illustrates this winter’s surge in Henry Hub historic spot volatility, relative to monthly ranges back over the last decade.

Chart 3: Historic Henry Hub spot volatility ranges (annualised)

Henry Hub Spot Volatility

Source: Timera Energy

The HH futures curve also points towards the winter price jump being a one season event, with virtually no forward price impact once storage levels have been replenished (i.e. from 2015 and beyond), as illustrated in Chart 4.

Chart 4: Recent Henry Hub forward curves – The spot is not wagging the curve

HH curves

Source: EIA

The fact that prices for specific forward delivery periods can move in relative independence is a sign of market maturity.  It suggests that forward prices reflect the expected market conditions in the forward delivery periods rather than taking the price signal from, and broadly moving in parallel to, prompt prices.

Could this happen in Europe?

There is currently a structural oversupply of gas flexibility in Europe, causing downward pressure on seasonal spreads and volatility.  But in many ways Europe is more vulnerable than the US to a similar bout of hub price volatility.

Unlike the US, domestic gas production in Europe is in decline, leaving Europe more vulnerable to import constraints.  The European cold snap in March 2013 was far less harsh and shorter than the ‘polar vortex’ that has gripped the North American market this winter.  The fact that European hub prices spiked to levels required to attract flexible LNG cargoes, whilst HH prices did not, illustrates this higher vunerability. It is a while since there has been a prolonged cold winter across Europe, as opposed to more isolated cold snaps.  And the pricing of tail risk appears to indicate a degree of complacency has crept into the market as a result.

Russia temporarily curtailing supplies via Ukraine no longer represents the threat that it used to, given alternative supply routes.  But a cold winter combined with key infrastructure outages is another story. These events tend to be positively correlated given system stress and could well cause a surge in hub prices and volatility, and a re-pricing of tail risk and the insurance value of portfolio flexibility.

There is more to energy risk management than option theory

This is the first in a series of articles on the principles of energy risk management, written by Nick Perry.

The business of energy companies increasingly revolves around the management of portfolio risk.  Risk associated with customer contracts, supply agreements, upstream assets and hedge books. But the term ‘risk management’ is often narrowly applied to refer to the trading risk control function.  While risk control is one aspect, risk management is a much broader and more powerful discipline, one that should enhance a company’s commercial advantage, rather than hinder it.  In this, the first in a series of articles on risk management principles, we set out some of the common misunderstandings about energy risk management.

What is risk management about?

Several popular misconceptions about financial Risk Management are to be found in energy companies:

  • It is an arcane discipline, the preserve of a handful of specialists in a best-avoided corner of the building
  • It is well-enough understood by those who need to know, and irrelevant to those who don’t
  • Its role is essentially negative, applying the brakes to over-exuberant traders and overly-creative deal-makers
  • It’s all about options and Black-Scholes
  • It may be relevant in highly liquid markets, but gas and power rarely fit this description
  • Companies that are vertically integrated are ‘naturally hedged’, and don’t need risk management much at all

Years of acquaintance with energy players whose origins lie in the physically-oriented realms of utilities, upstream producers and large end-users make it easy to see how these ideas take root.  And any notion that in 2014 they are a thing of the past is disabused in the first morning of any risk management training session.

All about options?

Let’s start with the point about options.  If anyone new to risk were diligently to search out one of the several excellent books on energy risk management they would probably find that Chapter 1 lists some of the well-known energy trading scandals and is easy enough to read.  Then comes Chapter 2 – on Options; Chapter 3 is on More Options; and Chapter 4 is on Exotic Options … and for those whose advanced maths is some years behind them, enthusiasm soon wanes.

The reason for this bias towards options is easy enough to deduce. The ‘textbook’ authors typically come from a background of strong academic credentials. They tend to give a cursory treatment to the basics of hedging positions with linear exposures (or constant delta), in order to focus on the more academically challenging problems presented by non-linear exposures.

However a great number of the practical risk management problems that arise in energy companies have nothing to do with options.  Firstly, even basic hedging in energy markets is rarely as simple to execute as for less ‘granular’ commodities in more liquid markets.  Secondly, many foundation-level aspects of financial risk management are deeply non-intuitive, or even counter-intuitive to those coming to the issues for the first time.

Take this two minute challenge

Take this simple challenge: a significantly simplified version of the most basic type of contract in the industry – a gas purchase with price indexed to oil.

A gas buyer purchases 20 volumetric units of physical gas under a contract in which the price is indexed 50:50 to the spot prices of oil and of gas itself.  Delivery is taken at a location where there are liquid markets for both gas and oil.  For simplicity the contract price = 0.5 x spot oil price + 0.5 x spot gas price, both in the same currency, price and volume units.  What, measured in volumetric units, are the exposures (if any) to the oil price and gas price for the buyer?

Hint: price exposure is generated from both the pricing terms of the deal and the underlying physical delivery of gas. The latter is often overlooked by those new to the concepts.  This is illustrated in the following chart.

Chart 1: linear exposures of a simple indexed gas physical deal

Simple indexed exposures

I reckon there are 25 possible answers that might be under consideration.  Given the various dimensions and numbers in play (oil, gas, 20, 50%), then you might be thinking the exposures (deltas) must be one of +20, +10, 0, -10 or -20, for each of oil and gas.   When I set this puzzle in training workshops, I regularly get as many answers as there are people in the room – sometimes without hearing the correct one!  And yet, as everyone quickly grasps, this is about as simple a real-life energy risk problem as could be posed – with not an option in sight.

The arithmetic is not the issue here – indeed most delegates to energy risk training come from highly numerate disciplines such as engineering and accounting.  It is rather the ability to internalise new, rigorous ways of analysing apparently straightforward business scenarios that are not widely taught beyond the trading floor.

 

Fixed price, floating price

Another common misconception is that exposure to ever-changing spot prices is the fundamental source of financial risk.  Indeed, when told that it is in fact fixed-price positions (in liquid, variable-price markets) that are the root cause of price risk, and that floating-price positions are risk-neutral, some delegates in risk training sessions actually resist this basic assertion.

If there is an explanation for the misconception, it probably lies in the fact that for many companies, before energy is procured (or sold) there has already been some prior commitment made within the corporate portfolio that equates analytically to an implicit short (or long) fixed-price energy position.  For example, an automobile manufacturer may have committed to a price list that must be maintained for 12 months, and in consequence may be implicitly short energy (and steel and other raw materials).  Staff from such a background may subliminally be recognising the need for a hedge, and therefore conceive of floating energy prices as a source of risk – instead of identifying the initial commitment to the price list as the primary source.

This floating price risk focus is more common among demand-side players for whom energy is only a part of their business.  However it can also be found within utilities.  The shift in utility business models towards portfolio management via centralised trading functions has significantly improved the level of understanding of risk exposures.  But people within utilities have often come from a background where ‘marking to portfolio’ is more readily adopted than marking to market.  Given this background, several aspects of risk management can be non-intuitive, and several ‘Chapter One’ issues can represent new perspectives requiring new analytic disciplines.

There are excellent reasons why these perspectives and disciplines need to be more widely shared across the company – going well beyond the requirements of staffing the middle office.  All commercial staff, and many managers at all levels, will conduct much better business with a good grasp of the principles involved.

Options again

When we get deeper into the subject, it turns out to be quite appropriate to develop a fixation on options in energy.  Energy portfolios are rich with optionality and non-linear exposures.  This can be envisaged quite readily for example by recognising that a good way of analysing capacity in an oil refinery, is as ‘a call-option on the crack spread’ or capacity in a CCGT as ‘a strip of call-options on the spark spread’.  But that is a relatively sophisticated thought process, and certainly not material for Chapter One.  We shall, however, consider it later in this series of articles – after looking next at some of the almost unique risk characteristics of the energy sector, and how techniques from the trading floor need to be adapted and enhanced to cater for them.

Nick Perry is a Senior Advisor with Timera Energy.  He has extensive energy industry expertise specialising in portfolio & transaction structuring, risk management, market dynamics and regulatory issues. He has spent over 20 years working in the gas and power industries for Exxon, Amoco and Enron, where he was a Board Director of Enron Europe.

Timera Energy provides tailored in-house corporate training services covering, amongst other areas, energy risk and portfolio management.  If you are interested in finding out more please contact us.

Commercial implications of the UK capacity market

The countdown has commenced to the implementation of the UK Capacity Market.  Between now and November, the UK power market will be focused on the volume and pricing of capacity delivered in the first auction.  And the rest of Europe will be watching, given capacity markets are the subject of whiteboard sketches across the offices of the EU’s energy regulators.

For all that has been said and written about the UK Capacity Market, industry views range widely as to its commercial impact.  What will the outcome of the 1st auction be?  How will the capacity price interact with the wholesale power price?  What are the implications for generation asset returns?  We consider these questions in this, the final article, in our three part series on the Capacity Market.

The 1st auction outcome

Understanding the capacity price & volume outcome in the first auction means taking a view on two key factors:

  1. The volume of incremental capacity that the system will require to meet the government’s 3 hour LOLE security standard (estimated by National Grid to be equivalent to a de-rated capacity margin of 3.8%)
  2. The source and cost of the marginal provider of this incremental capacity.

The government will provide a clearer view on the incremental capacity volume requirement (1.) when it publishes its capacity demand curve (scheduled for June).  In our view, there is a risk that political influence leans towards a more ambitious capacity target for the first auction given concerns over security of supply.  After all, the costs of providing capacity via the Capacity Market are less transparent than via the wholesale power market, and are smeared over a multiple forward year horizon.

Once there is more clarity around capacity demand, the key determinant of capacity price will be the cost of the marginal source of supply (2.).  In our view the capacity price in the first auction is more likely to be set by existing gas and coal assets rather than new build CCGT/OCGT.  This may either be via refurbishment of existing capacity to enhance/extend assets lives, or via existing assets recovering the ‘going forward’ costs required to remain open (as we set out here).  However it cannot be ruled out that the government really leans on the capacity lever, pulling the capacity price up to levels that support new build.

There are also still a number of unresolved issues around market design which could impact the auction outcome.  For example, the length and legal basis of capacity contracts, qualification for price setting ability and the amount and nature of capacity costs that can be bid in.

Impact on wholesale power price levels

In the current world with no Capacity Market, the absolute level of power prices is driven by the fuel & carbon costs of marginal generators (primarily CCGT).  This will not change with the Capacity Market, regardless of capacity pricing outcomes.

However the Capacity Market is set to have a pronounced negative impact on power price levels, relative to the current energy only market.  Adding an additional capacity revenue stream for generators has two important effects:

  1. It is likely to support higher levels of system capacity than in an energy only world
  2. It reduces the requirement for generators to recover fixed costs via wholesale power prices.

Both these factors are likely to put downward pressure on power prices.  In order to better understand the dynamics of capacity and energy market interaction, it is useful to use a supply curve framework as shown in Chart 1.

Chart 1: The UK supply stack, power prices and generator rents

PDC Supply Curve

Source: Timera Energy

The left hand diagram shows a short run marginal cost (SRMC) view of the UK supply stack (net of intermittent generation).  The CCGT portion of the supply curve (blue line) which typically sets marginal power prices is very flat, given there is around 30GW of CCGT competing to supply power at similar marginal cost levels.  That translates into a flat SRMC duration curve in the right hand chart (the grey line).

In a market which has a very tight capacity margin (e.g. the UK in 2016), wholesale power prices rise significantly above SRMC.  This yields a steeper price duration curve (the red line in the left hand chart), with generators earning rents above SRMC, particularly in periods of peak net system demand.   The principle mechanism that drives these higher rents is reduced competition between marginal generators in setting market price (given capacity tightness).  This means marginal generators have a greater ability to price power above marginal cost.

However in a market with a more comfortable capacity margin (e.g. the UK in 2019), wholesale power prices are likely to more closely reflect SRMC.  Rents are reduced given an increased level of competition between marginal generators at higher capacity levels.  In other words, the ability of marginal generators to price power above marginal cost is reduced and the price duration curve flattens accordingly (the green line in the right hand chart).

So implementation of the Capacity Market, combined with delivery of new renewable generation, will mean higher system capacity levels.  These factors act to stretch the supply curve, shifting the intersection of supply and demand to the left.  This in turn reduces rents in the wholesale market and places downward pressure on power prices.

Impact on power price volatility & market liquidity

The effect of renewable intermittency in increasing prompt power price volatility is a well understood concept.  Fluctuations in wind and solar output stretch and contract the supply stack, causing changes in marginal price setting generation units and hence price volatility.  This effect is set to increase between 2014 and 2018, as the system capacity margin tightens and wind & solar volumes increase.

But implementation of the Capacity Market may act as a volatility dampener from 2018/19.  The factors behind this are the same ones that place downward pressure on power prices.  Higher levels of system capacity reduce the system tightness that drives price volatility.  And as the focus of fixed cost recovery for peaking assets shifts to the Capacity Market, a reduction in the extraction of peak period rents should dampen wholesale price fluctuations.

The Capacity Market will also do little to help wholesale market liquidity.  The government’s other EMR reforms have eroded the requirement for low carbon generators to hedge output in the power market.  The Capacity Market is likely to have a similar effect on gas and coal generators.  As the margin focus of these asset shifts to annual capacity payments, it reduces their wholesale market hedging requirements (particularly for peaking assets).

Implications for gas plant owners

The Capacity Market will have profound structural implications for the margins and risk/return profiles of gas assets.   Most importantly it should boost and de-risk plant margins.  Capacity prices will fluctuate from one year to the next, but more stable fixed annual capacity payments will reduce asset dependence on volatile wholesale market revenue.  While this is good news for asset owners, it introduces a new set of challenges in understanding and managing the interaction between capacity and energy margins.

Chart 2 provides a simple illustration of the margin recovery path for gas plant between now and the end of this decade.

Chart 2: CCGT margin recovery path

CCGT Margin Recovery

Source: Timera Energy

Healthy system capacity margins and steadily increasing renewable volumes are currently depressing CCGT margins in the wholesale power market.   As scheduled regulatory retirements occur mid-decade, the capacity margin is set to tighten which should in turn increase gas plant energy market rents (as described above).  Then a new capacity margin stream is available from 2018/19, but one that will have an important interaction with the existing energy margin stream.

As long as there is a system requirement for the Capacity Market to deliver incremental capacity, capacity prices are likely to cover the fixed cost base of CCGT assets (otherwise older CCGT plant will close).  This, combined with a 4 year forward visibility on capacity revenues, will help support and de-risk the value of CCGT assets.  In addition CCGTs will be able to recover capacity margins significantly above fixed costs in periods when the capacity price rises to incentivise capacity delivery.

For older CCGT assets, currently out of merit and suffering low or negative cashflows, the Capacity Market is a potential game changer (as long as plants meet the required flexibility standards).  The key challenge for asset owners is how to manage margin in the period between now and 2018/19 and how to bid assets into the capacity auctions.

Newer CCGT assets running at higher load factor will also benefit from capacity margin, but will retain a significant exposure to the wholesale power market for recovering capital costs.  The key challenge here is for asset owners to understand the interaction between capacity and power pricing and to manage, hedge and bid their assets accordingly.

As the November auction approaches, asset owners are confronted with a set of decisions on how to manage asset value across the energy and capacity markets.  The cost structure and expected energy market returns of individual plant are key factors in defining a capacity bidding strategy. But there are also important considerations around anticipating actions of other generators, pricing capacity based on alternative bids and bidding with a generation portfolio perspective.  Most importantly, the Capacity Market has a key bearing on lifetime investment decisions on asset retirement, mothballing, capex spend and refurbishment.

We offer bespoke workshops on the commercial implications of the Capacity Market. These can be tailored to address issues such as business impact, asset strategy and market pricing dynamics. If you are interested please contact us.

LNG induced gas price squeeze in South West Europe

It has again been a lively winter in the global LNG spot market.  Spot prices are following a pronounced seasonal shape as winter buying has driven Asian prices above the 20 $/mmbtu level.  What has been interesting this year is the level of competition from European buyers, particularly from Spain and Turkey, to secure flexible cargoes.  The knock on effect of Spanish LNG demand, has been a period of structural separation between gas prices in South West and North West Europe.

Spanish gas price linkage to spot LNG

The Iberian peninsula is relatively isolated from the rest of the European gas market.  Although interconnector upgrades are under development, there is a tight constraint on cross border capacity from Southern France into Spain.  In turn there is another key transmission constraint separating the PEG Sud and PEG Nord hubs within France (as we describe in more detail here).  So tightness in the Spanish gas market can drive quite pronounced price separation across the Spanish AOC, PEG Sud and Northern European (NBP/TTF/NCG) hub boundaries.

LNG supply rarely drives marginal hub pricing in Northern Europe (although one notable exception is the Mar/Apr 2013 price spike at NBP).  But the situation is different in Spain given the prominence of LNG as a supply source.  Spanish gas market prices (represented to some extent by the relatively illiquid AOC hub) tend to exist in one of three states:

  1. Oil on the margin: Whenever possible, the incumbent gas suppliers in Spain like to ‘manage’ portfolio supply (i.e. pipeline & LNG contracts) at the Spanish borders such that oil-indexed contracts drive marginal gas prices within Spain.  This is primarily because suppliers are selling gas to customers on an oil-indexed basis.
  2. NW European convergence: With increasing volumes of interconnection capacity to France and weakening Spanish gas demand over the last 5 years, NW European hub prices are increasingly influencing Spanish gas pricing.  This influence will only continue to expand as interconnection increases.
  3. Spot LNG on the margin: In periods when there is a more pronounced shortage of physical supply into Spain, pipeline contract imports & interconnector capacity can become constrained.   Spanish gas prices tend to rise to attract LNG supply as a result.  This is not necessarily to attract spot cargoes, but to choke off the diversion and reloading of Spanish LNG supply to other higher priced markets (e.g. in Asia and South America).

The impact of this third state (i.e. LNG spot influence) has been felt to some extent across the last three winters.  It has been particularly prominent this year given issues within the Spanish market.

The current Spanish price squeeze

A good way to visualise the impact of LNG prices on the Spanish gas market is to look at the evolution of a Spanish spot LNG benchmark.  Chart 1 shows a LNG spot price snapshot from the Reuters power and gas team, displaying the evolution of different Waterborne spot price benchmarks.

Chart 1: The evolution of Spanish vs key global spot LNG price benchmarks

Jan 14 LNG blowup

Source: Reuters

The Spanish spot price benchmark is shown in red.  Over the last three years, Spanish spot LNG prices have fluctuated between:

  • A lower bound of European hub price levels, broadly reflected by the blue (UK) and pink (Belgium) markers.
  • An upper bound of west Asian spot prices, e.g. the Indian marker in light blue.

During times of ample Spanish supply, e.g. Summer 2013, there is a broad convergence of Spanish prices with NW European hubs.  However during the last three winters, Spanish prices have risen to attract an adequate level of LNG flow into Spain, given competition from Asian and South American buyers.

There are a combination of factors this winter that have led to rising Spanish prices.  Lower renewable (wind & hydro) and nuclear output has provided an unexpected boost to gas-fired generation volumes.  In addition there have been significant Algerian production issues that have curtailed contract supply into Spain.

Despite the current winter tightness, spot LNG prices are unlikely to remain the dominant influence in the Spanish market for long.  As the current seasonal spate of competition for cargoes between Spanish, Turkish and Asian buyers dissipates, the pull of European hub prices will likely re-assert.  Over the last 5 years, Spain has suffered a pronounced erosion of gas demand from economic weakness and a fall in gas plant load factors.  Until these effects are reversed, periods of gas market tightness are likely to be temporary rather than structural.   And an expansion of cross border capacity with France will only strengthen the pull of European hub price convergence.

Transition from JCC Pricing in Asian LNG Markets

This week’s article is written by Howard Rogers, a Senior Advisor with Timera Energy and Director of Natural Gas Research at the Oxford Institute for Energy Studies.

The European transition to hub-based pricing is now well underway.  This raises the question as to whether Asian LNG markets will inevitably evolve away from their historic linkage to oil prices in long-term LNG contracts.  There is a level of discontent among Asian buyers that is supportive of a transition to an alternative pricing mechanism.  But it will likely take a bigger catalyst to pave the way towards Asian hub-based pricing.

Hub evolution in Europe

First let’s look at the three factors which conspired to change the European gas pricing landscape:

  1. Pro-competition policy and legislation  enabled third-party access to infrastructure, end-consumer supplier choice and the erosion of incumbent territorial domination. This created the framework in which traded hubs could develop.
  2. From 2009 a combination of plentiful new supply (LNG which the US did not require) at a time of reduced demand (because of the financial crisis and recession) created a significant spread between hub prices and oil indexed pipeline gas prices.
  3. The subsequent unsustainable financial exposure of the midstream utilities which required them to seek arbitration and negotiated price reductions in their long-term gas contracts. Now in NW Europe, long term contract prices are either explicitly hub indexed or are ‘adjusted’ to be equal to or very close to hub prices.

In the Asian LNG market there is the potential for the second and third of these factors to transpire, but a large question mark against the first. 

An Asian solution?

High Asian LNG prices (as a consequence of $100/bbl plus crude) have resulted in a chorus of complaints from Asian LNG buyers.  But there is no consensus as to whether the problem is one of ‘price level’ or ‘price formation’.  Continually adjusting price levels (by changing price formula variables) is one solution, but becomes somewhat futile if the underlying price formation mechanism no longer has any market logic.

If the problem is one of ‘price formation’ there are a number of alternative options.  The first is to re-assess the fuel mix in which gas competes, and derive a suitable multi-fuel price index.  The main problem here is the need to re-calibrate the index frequently as markets evolve and the fuel mix changes.  This approach also presumes the continuation of a structure in which oligopoly sellers interact with midstream incumbents.  The second approach is to use an existing spot LNG index such as the JKM.  At present this is quite volatile, possibly reflecting relatively low coverage of total Asian spot LNG trades.  Pricing based on Henry Hub currently has its attractions at current US – Asian price spreads, but may become more questionable if the oil price falls and US shale production, in time, disappoints expectations.

The last option in the list is an Asian trading hub price.  While this is probably the preferred option, achieving it (as is often the case) will require several challenges to be overcome. More on this later.  As was the case in continental Europe, market fundamentals play an important role in such pricing transitions.  So rather than discuss these possible changes in a ‘theoretical vacuum’ let’s look ahead over the next ten years.  Although subject to many uncertainties, there is a good possibility that the period 2018 to 2023 could be one of plentiful LNG supply, with consequences for major players but also offering favourable conditions for an Asian LNG hub to develop.

Could new LNG supply be the catalyst?

We have the co-incidence of significant US LNG export volumes coming at a time when Australia and other suppliers will also be bringing new projects on stream.  In part this will be aided by aggregator/portfolio players who are contracting US volumes with no fixed corresponding end-user contract. The big uncertainties are:

a)     Continuation of the robust US shale gas production performance; and

b)     Chinese future demand for gas and LNG.

A key dynamic will be how Russia (supplying 25% of Europe’s gas) will respond to a potential overspill of LNG into Europe.  This could be in the form of a price war which would lower hub prices in Europe, the US and Asian spot prices, further increasing the incentive to move to an Asian LNG hub index.

The major change over the last 12 months or so has been the scale of potential US LNG export projects moving through the approval process.  At a more sustainable Henry Hub price of $6/mmbtu it is feasible that these ‘re-gas re-configuration’ projects could remunerate incremental investment costs at European hub prices of around $10.50/mmbtu and Asian prices of around $12/mmbtu.  Some 85 bcma of LNG has received non-FTA approval from trains in six projects which have offtake agreements (or HOA’s) for 112 bcma.

Chart 1: US LNG Export Projects: Timing and Off-taker Type

US Export Projects

Sources: Company & Media Reports, Author’s Assumptions

A breakdown of Asian LNG demand vs supply

The graph above shows that while Japan, South Korea and India have been active, the majority of these volumes have been secured by aggregators & portfolio players.  While Sabine Pass is likely to start up at end 2015/early 2016, capacity from these projects starts in earnest post 2018.

Chart 2: Asian LNG Importers – LNG Contract & Spot Demographics 2010 – 2025

Asian LNG by Country
Source: GIIGNL, Author’s assumptions, D Ledesma OIES.

The above figure shows the illustrative LNG requirements of the 5 main Asian LNG importers.  LNG demand is the black line.  Long Term contract supplies are in blue (dark blue historic, light blue future supply from existing contracts).  Green represents supplies from existing short term (less than 4 year) contracts and yellow historic spot LNG supply.  The red represents volumes of US LNG from offtake agreements or Heads of Agreement signed by Asian buyers.  Note that these graphs exclude: future Spot LNG volumes from existing and new projects, US volumes secured by aggregators/portfolio players and long term contracts from projects which have net yet achieved FID.

In the case of Japan, once nuclear power plants have re-started, the existing portfolio of JCC contracts fulfils demand until 2018/2019.  The US volumes continue to satisfy demand until 2020/2021.  Unless Japan is able to materially renegotiate the terms of its existing LNG contract portfolio away from a JCC basis, it will not be able to change the price formation basis of its LNG imports until the end of this decade.  South Korea is in a similar position but has more room to introduce spot volumes and towards the end of the decade has flexibility to insist on a move away from JCC in order to change its portfolio price formation balance.

India’s future LNG requirements are uncertain for many reasons but GAIL has been active in securing US volumes.  Taiwan being a small market will probably continue to rely on spot LNG in the main.  China appears to have a requirement for supplies in addition to its current contracted portfolio from 2016 onwards.  It has not signed any agreements for US volumes but is active in both Canadian and East African ventures.  These however are unlikely to be onstream until 2020.

In the next figure we look at the aggregate position and add in the US volumes signed up by the ‘Aggregators/ portfolio players’ in grey.

Chart 3: Asian Future LNG – Contract, Spot and Price Formation

LNG Asian Combined

Source: GIIGNL, Author’s Assumptions

This suggests that, on the basis of the assumptions behind these projections, if all US volumes are directed to the Asian LNG market, in the 2018 – 2023 period there is little room available for spot LNG volumes from existing and new projects/suppliers and long term contracts from projects which have net yet achieved FID.  This is indicative of a potential period of oversupply during which Europe could receive an ‘overspill’ of excess LNG supply as it did during 2010 and 2011.  If these conditions transpire, they could be a key catalyst for a shift to Asian hub-based pricing. 

The path to an Asian LNG hub

We now return to the challenges of creating a hub in Asia.  Unlike North America and Europe, Asia lacks a major liberalised national pipeline gas market.  Even if one or more existed, geography would prevent an integrated regional market being created through pipeline interconnections.  As such, there is little prospect of a major regional traded gas hub, initially developed on the basis of pipeline gas supply, providing the platform on which LNG can be traded.  For Asia therefore, it makes more sense to anticipate a hub developing purely on the basis of LNG trading.

Singapore has made a start during 2013.  However even if all Asia’s spot LNG (40 bcma in 2012) flowed through a hub, that would only represent about 1.5 cargoes a day.  Given the distance between Singapore and the major Asian LNG markets it is probably that part-cargo trading is difficult on cost grounds.  Liquidity could improve if for example a substantial portion of the future grey aggregator volumes in the previous figure were to be sold on the Singapore hub.  What is more likely to succeed longer term is the establishment of hubs at say Tokyo and Shanghai, where part-cargoes could be traded.  This assumes however that buyers other than the midstream utilities (such as large industrials) are able to purchase part cargoes through enforced third party access at regas terminals.  Whether the willingness exists at a national policy level to instigate such changes is as yet unclear.

At present, based on research and thoughts to date, the following three scenarios for the Asian LNG Market are offered:

Scenario 1 – Contractual Impasse.  This is where we have been for the past year or so and are likely to remain for a year or so more.  Buyers continue to complain about JCC pricing but no changes can be agreed with sellers on existing contracts.  Buyers refuse to sign new long term contracts at prices linked to crude oil, producers refuse to sign on any other basis and so no new contracts are signed (apart for those where the supply is from the US).  US export growth increases spot trade but the Asian LNG sector overall stagnates.

Scenario 2 – Smooth Contractual Transition Scenario in which new long term contracts begin to be signed on an alternative basis to JCC with price review clauses anticipating a future Asian LNG hub.  There are challenges to existing contracts but re-negotiations result in adjustments which are tolerable to buyers and sellers.  Despite ongoing financial pain, Japanese buyers manage to ‘hang on’ until existing contract portfolios decline.  Spot trading increases and by the 2020s larger and more liquid hubs emerge in Tokyo and Shanghai and new long term contracts are signed on the basis of these prices.  This scenario has most chance of transpiring at oil prices below $100.

Scenario 3 – the Contractual Train Wreck Scenario.  Here Asian buyers’ losses (particularly those in Japan) become so serious that they demand re-negotiations on existing contracts.  These are resisted by suppliers who continue to demand JCC linked pricing.  Litigation is started with unpredictable results and large financial sums at stake.  No new long term contracts are signed during this period (apart from those based on US supply) but spot trading continues to increase and eventually liquid hubs emerge in Tokyo and Shanghai and new contracts are signed on the basis of hub price indices. This scenario is more likely at oil prices above $100/bbl.

Given the changes in importing market structure since the 1970’s, it is extremely difficult to make the case that JCC is still a rational basis for pricing Asian LNG.  It has created huge financial problems for Japanese buyers and threatens longer term competitiveness. While US exports contracted on a Henry Hub plus costs basis appear more attractive at present, this may not be the best reflection of global LNG supply and Asian market fundamentals in the longer term.  Over time, one or more Asian LNG trading hubs would establish more appropriate prices.  But there are significant challenges to achieving the necessary liquidity, requiring difficult choices and resolve on the part of buyers and policymakers.  Transitioning to this more enduring price formation basis while addressing the challenges of existing Long Term JCC contract portfolios could be a long and bumpy ride!

A more in depth look at the issues discussed in this article can be found in the OIES paper entitled Challenges to JCC Pricing in Asian LNG Markets penned by Howard Rogers and Jonathan Stern. 

Pricing dynamics in the new UK capacity market

Changes to the UK power market have been coming thick and fast this decade.  The implementation of a Capacity Market in November 2014 is just one of a growing list of market reforms.  But the Capacity Market is set to have a unique & structural impact on UK power market dynamics and asset values.  Replacing an energy only market with separate energy and capacity markets is quite a dish to swallow.

Two factors make the Capacity Market a big deal:

  1. It introduces a new revenue stream for UK power plant, in addition to the current wholesale market revenue stream
  2. It gives the government the ability to tightly control the level of capacity in the market

These factors will have a key impact on wholesale power prices and the return on generation assets.  From 2014 onwards, commercial and investment decisions will involve taking a view (either explicitly or implicitly) on the level and dynamics of pricing in the new Capacity Market.  In this article, the second in our series on the Capacity Market, we look at the drivers behind capacity pricing.

How will capacity prices be determined?

Up until late last year, a lack of detail on Capacity Market design from DECC (the Department of Energy and Climate Change), made it difficult to draw meaningful conclusions on capacity pricing.  That is starting to change.  There are still many design factors to be resolved before the first auction in November.  But there is now enough detail to start drawing some sensible conclusions on capacity pricing dynamics.

We start with a basic overview of the market mechanism that will set capacity prices.  If you are familiar with the capacity market design, you may want to skip ahead to the next section.

Capacity Market overview

Chart 1 shows a representation of supply and demand in the Capacity Market.

Chart 1: Capacity Market supply and demand curve

Capacity S&D curve

Source: Timera Energy

Demand

The capacity demand curve (illustrated by the blue line in Chart 1) will be derived by DECC and announced in advance of each auction (the first one is due to be published in June 2014).  It sets a price cap above which DECC considers it is not worth acquiring additional capacity.  The cap level is yet to be confirmed but is likely to be related to the estimated cost of building a new gas plant.

DECC’s demand curve will be downward sloping at prices below the cap to reflect an increasing appetite for capacity at lower prices.  However there will only be a 1.5 GW range above & below the target level.

Supply

The supply curve (illustrated by the dark red line in Chart 1) consists of bids from industry participants to provide incremental volumes of capacity at specified prices.  Unlike the demand curve, the composition of the supply curve is not visible in advance of the auction.  Instead it is partly revealed as the descending price auction uncovers which participants have successfully bid to acquire capacity rights.

Any capacity receiving another form of government support (e.g. RO, FiT/CfD, RHI) is excluded from the market, along with any capacity that chooses to opt out (e.g. retiring plant).  The remainder of capacity falls into two tranches:

  • Price setters: new or substantially refurbished capacity looking to recover major capex costs in 3 to 10 year capacity agreements, which can bid accordingly to set the capacity price.
  • Price takers: existing capacity that is not looking to recover major new capex costs and can bid for 1 year capacity agreements, but is restricted to bidding below a government determined threshold level (yet to be announced).

Clearing price

The rest is Economics 101, with the marginal bid setting the capacity price which is paid to all market participants.  The characteristics of the demand curve are relatively predictable.  It is known in advance of the auction and will likely retain a similar construction from one auction to the next (anchored by the 3 hours target LOLE and price cap). So the key uncertainty and complexity driving capacity pricing, comes from the cost structure and bidding behaviour of the market participants that make up the capacity supply curve.

 

Structure of the capacity supply curve

In order to understand capacity price levels it is important to have a grasp of the cost of providing incremental flexible capacity.  To the extent that the Capacity Market is competitive, pricing should broadly reflect the cost of providing incremental capacity (caveat the reality that there may be significant opportunities to exercise market power in setting market price).

There are a number of potential sources of incremental capacity, but the key ones likely to drive capacity pricing can be grouped as follows:

  1. Preventing existing gas & coal plant from closing
  2. Refurbishing existing gas & coal plant to enhance/extend lives
  3. Developing new OCGT or CCGT plant

Deriving the cost structure of the incremental sources of capacity is not simple.  The relevant benchmark for each source is the cost of capacity net of energy market returns (i.e. net of margin earned in wholesale power market).  But as plant owners bid into the auction this year, they will need to make an assumption on the impact of the Capacity Market on power prices and implied energy market returns in 2018/19.  Views on this may vary significantly.

In Chart 2 we show some estimated ranges of incremental capacity cost by source.  The ranges around each category reflect two factors.  Firstly, different cost estimates depending on asset/technology.  But secondly and more importantly, uncertainty around how plant owners will net off anticipated energy market returns when bidding into the Capacity Market.

Chart 2: Estimated net cost ranges for key capacity sources

Capacity cost benchmarks

Source: Timera Energy

Plant across all of these categories will compete to provide capacity, but the key question is which category will represent the marginal (price setting) source.  These plants will have the greatest influence in determining capacity price, as well as the greatest ability to exercise market power.

What type of plant will set the capacity price?

In order to understand which category of plant will set capacity prices it is important to understand how much incremental capacity will be required to meet the DECC target.  Of foremost importance is a snapshot of the projected capacity requirement, 4 years in advance of delivery.  This is because the main 4 year-ahead capacity auctions (e.g. in 2014) will be driven by the government’s forward estimates of capacity requirement (e.g. in 2018/19).  The capacity price will then be set in the auction based on the available capacity options to meet the target.

So considering the dynamics across the 3 main capacity categories:

Retaining existing plant

Paying existing CCGT and coal assets to remain in service requires at a minimum that plant fixed costs are covered.  So in a situation of capacity oversupply, plant fixed costs will be an important benchmark because the capacity price is likely to fall below these levels until older plants retire to redress the capacity balance.

Given the current conditions of capacity tightness in the UK, oversupply is unlikely to be an issue this decade.  But paying existing plant to remain open may have a key influence on the first capacity auction in November.  This is because DECC may allow loss making plant (e.g. many of the 90s built CCGT assets) to include in their capacity market bids, the losses suffered over the 4 year period prior to capacity delivery (i.e. 2014-18).  This may significantly inflate the cost structure around existing plant in the first auction (although this will be a one-off effect).

Plant refurbishment

As well as just delaying retirement, owners of existing CCGT assets can also make a more substantial investment in upgrading the plant.  DECC has indicated such refurbishment must involve investment over and above normal major maintenance capex (e.g. gas turbine refurbishment, CCGT to OCGT conversion or coal supercritical conversion).

The advantages of refurbishment for the owner are not just the enhanced asset, but the ability to lock in a capacity price over a longer duration contract (at least 3 years, maybe 5).  It also allows the asset owner ‘price setter’ rights in the auction.  Refurbishment may prove to be a fruitful source of incremental capacity.  This may act as an important buffer to prevent capacity prices from rising to support new build OCGT/CCGT capacity.

New build plant

DECC has, somewhat controversially, proposed to base the price cap on the cost of a large modern OCGT plant rather than the traditional market benchmark of a new CCGT plant.  DECC has published a gross cost estimate for an OCGT of 47 £/kW/yr, implying a net cost of 29 £/kW/yr (based on their courageous assumption of 18 £/kW/yr of OCGT energy margin).

This comes in substantially below DECC’s net cost estimates for a new CCGT which range up to 60 £/kW/yr.  While in theory, if it is only capacity that DECC wants to deliver, it may be logical to structure capacity pricing around OCGT assets.  But in practice OCGT investment has been ‘off the table’ for most UK market participants given the more favourable all in economics of CCGT assets.

The key interaction determining the cost of OCGT versus CCGT plant comes down to assumed energy market returns.  Because a new CCGT is significantly more efficient than an OCGT, it will earn higher energy market returns to offset its higher capital costs.  In fact it is difficult for an OCGT plant to earn any significant energy market returns in the UK given they must compete against a large volume of existing CCGT and coal assets, most of which are likely to have a variable cost advantage.

The first auction will reveal to what extent new OCGT actually play a role in setting capacity prices. But OCGT aside, there are a raft of potential new CCGT projects that will act to constrain upwards movement in capacity prices.

Marginal capacity pricing dynamics

The level of UK capacity prices will largely be determined  by which of the three categories of plant sets the price.  Given current capacity tightness, the market is likely to clear significantly above the fixed costs of CCGT (10-20 £/kW/yr).  In other words existing CCGT plant are set to earn substantial margins in the CM.

But in our view it is unlikely that capacity prices in the first auction will rise to levels that support OCGT/CCGT new entry (e.g. 60+ £/kW/yr).  That is unless the government sets a very aggressive capacity target and/or disadvantages existing coal plant (causing it to retire early).  Instead there looks to be a fairly comprehensive range of plant life extension/enhancement options that can bring forward the incremental capacity required.  The capacity supply curve is however likely to be lumpy which may mean sub-groupings of plant have considerable opportunities to exercise market power in setting price (e.g. by bidding up towards a level that supports OCGT/CCGT new entry).

Whichever category of plant sets marginal capacity pricing in November, capacity is likely to price at a level that places downward pressure on wholesale power prices in 2018/19.  In other words UK power market returns are going to undergo a rapid and structural change.  We consider the implications of this for portfolio managers and asset investors in our next and final article in this series.

We offer bespoke workshops on the commercial implications of the Capacity Market. These can be tailored to address issues such as business impact, asset strategy and market pricing dynamics. If you are interested please contact us.

GasTerra storage auctions & flexibility value implications

Twice a year GasTerra auctions Dutch storage capacity.  The price the market is willing to pay for this capacity provides a useful insight into the value of flexibility in the NW European gas market.   And the evolution of capacity value since the first auction in 2011 tells an important story of the shift in the focus of storage value from seasonal flexibility to shorter term deliverability.

How has the value of storage capacity evolved?

The two key market price signals that drive gas storage capacity value are seasonal price spreads and prompt volatility.   So it is no surprise that the price outcomes of the GasTerra auctions have mirrored the steady decline in seasonal spreads and spot volatility over the last three years.  Chart 1 shows the history of auction results, including 3 auctions where market bids failed to clear above the capacity reserve price.

Chart 1: Historic GasTerra virtual storage auction prices

chart 1

The GasTerra capacity product or Standard Bundled Unit (SBU) is seasonal in configuration, taking approximately 180 days to fill.  That means its value has been falling in close relationship to the decline in seasonal spreads.  But with the TTF winter/summer spread hovering around an anaemic level of 1 €/MWh, the value dynamics of the GasTerra SBU are changing.  In order to better understand this we look at the November 2013 auction result in some more detail.

The evolving value of storage capacity

In order to interpret the Nov 13 auction result we need to model an expected value for the GasTerra SBU at the time of the auction.  We can model this using the Timera Energy gas storage modelling suite along with the prevailing forward market seasonal price spread (1.2 €/MWh) and an estimate of spot gas price volatility (40%).  For this exercise we apply a stochastic dynamic programming approach to value the SBU (consistent with that commonly used by trading functions in energy companies).  Chart 2 shows the results.

Chart 2: Comparison of Nov 13 auction result against expected value

chart 2

Although the GasTerra SBU is configured towards extracting value from seasonal spreads, it is interesting to note the relatively high proportion of extrinsic value.  As spreads have collapsed the focus of monetising capacity shifts to capturing value from the flexibility to respond to market volatility.  Under these conditions, the value from shorter term price spikes becomes an increasingly important source of value for seasonal storage.

The impact of falling seasonal spreads has a knock-on effect, increasing the level of competition for short term deliverability, which in turn suppresses spot volatility.  In other words optimised seasonal storage capacity is competing more directly against fast cycle capacity to capture the returns from spot volatility.

Chart 2 also illustrates the relationship between the modelled expected value of capacity and the value the market is prepared to pay.  There is typically a discount of market value to expected value, reflecting the costs and risks associated with monetising capacity (e.g. hedging transactions costs, risk capital costs).  See here for a more detailed explanation of this.  The analysis in Chart 2 suggests that the market is willing to pay for about 70% of extrinsic value (assuming spot volatility at 40%).

Looking to storage deltas for further insights

To understand more about the evolving dynamics of storage it is useful to look at the monthly capacity deltas.  Deltas represent the sensitivity of storage capacity value to a price change in a given period.   Another useful analogy (which is not entirely mathematically correct) is that delta reflects the probability that the storage option will be exercised (via injecting or withdrawing) in a given period.

Chart 3 illustrates the GasTerra SBU deltas as modelled at the time of the Nov 13 auction, with the monthly ICE TTF futures curve overlaid.

Chart 3: Estimated GasTerra SBU delta weighted position on Nov 13 auction date

chart 3

 

Calculating storage option deltas (skip ahead if you are allergic to technical detail…)

Storage option deltas are complex to calculate and interpret due to the time dependent nature of the optionality.  The complexity of storage valuation models means that it is not possible to calculate deltas analytically (i.e. as a direct outcome of the model).

Instead a typical approach is to use the expected or average injection and withdrawal utilisation profile as a proxy for the delta weighted position.  This is generally a reasonable approximation but a more theoretically correct method is to calculate the deltas numerically.  This is done by shifting the price for a given period up and down by a small amount and recalculating the storage value for each case and measuring the change in option value as a function of price.  The advantage of this technique is that it can be applied to all valuation models but the key disadvantage is that it requires multiple complex calculations which may lead to performance issues.

Traders and risk managers place a high value on accurate option deltas as they provide valuable information as to the exposures arising from the capacity.  They can be combined with delta positions arising from other exposures (e.g. hedges) to give an aggregated view of portfolio exposures.  Traders use deltas to identify exposures and inform hedging decisions (e.g. delta hedging) and risk managers use them as exposure inputs into risk models.

 

The deltas from the Nov 13 auction are relatively flat across the injection and withdrawal periods.  This is a direct result of low seasonal spreads and provides another view on the shift away from intrinsic to extrinsic value.  If the seasonal spread was higher, there would be a stronger incentive to move gas from the lowest to highest price periods.   In this case the deltas in the optimal injection and withdrawal periods would be much closer to their maximum levels (shown by the grey outlines in the chart), with an equivalent reduction in the deltas of other periods.  In other words, the deltas give a direct signal of the likelihood of injecting or withdrawing in a given period.

Implications for storage asset owners                                                 

The last three years have been tough for storage owners as seasonal spreads and volatility have sunk.  But there are steps that can be taken to combat adverse market conditions.  Asset value can be defended without giving away upside from a market recovery.   But this means being flexible and adaptive in defining a capacity sales strategy.  As a simple example, GasTerra has started offering a 5 year product indexed to the Summer vs Q1 price spread, i.e. they retain the underlying spread exposure on capacity sold.

Product re-configuration is another key measure.  As the market evolves, so does the value of different combinations of injection, withdrawal and space.  By understanding the marginal value of each of these components, owners can construct new products or tariff structures that maximise the value of capacity sales.  This is being recognised in the increasing number of non-standard product types that are being marketed as complementary offerings to the traditional SBUs.