A Battery Energy Storage System (BESS) refers to a system that uses rechargeable batteries to store energy and release it as needed. The core component of a BESS is the battery itself, which is typically based on lithium-ion technology, although other types like lead-acid, flow batteries, and solid-state batteries are also used in various applications. BESS can vary in size, from small units for individual homes to large, grid-scale solutions for utility companies.
This technology is becoming increasingly important as our energy system shifts toward renewable sources like solar and wind, which don’t always produce energy when demand is highest. With BESS, surplus energy generated during periods of low demand or high production can be stored and discharged later. This grants both a benefit for the system and a profit for the BESS: excess renewable generation typically depresses prices, meaning the energy injected in the battery is bought at a low price; at the opposite, this same energy is then released when demand and prices are higher.
The very quick response times characterizing BESS also allow them to provide ancillary services to the grid, both contributing to system security and flexibility and generating an additional revenue stream for the BESS.
The main technical parameters used to define BESS are:
Efficiency – the roundtrip efficiency of a BESS system defines is the ratio between the energy returned to the grid and the energy extracted from it. It is generally lower than 100% due to losses incurred during injection, storage and withdrawal.
Energy storage capacity – the maximum energy than can be stored in the BESS, usually expressed in kWh or MWh.
Power – the maximum charge or discharge rate of the BESS, usually expressed in kW or MW
Duration – the ratio between energy storage capacity and power, indicates how long it takes for the BESS to fully charge or discharge, usually expressed in hours.
C-rating – an alternative way to indicate how long it takes for the BESS to fully charge or discharge, it is calculated as the inverse of the duration (e.g. 0.5C means 2hr duration and 1C means 1hr duration).
Passive imbalance trading, also known as Net Imbalance Volume (NIV) chasing, refers to a strategy used by energy market participants to take advantage of imbalances in electricity supply and demand. These imbalances occur when the actual electricity consumed or generated doesn’t match the amounts scheduled or forecasted. Transmission system operators are responsible for balancing supply and demand in real-time, and any difference is dealt with through imbalance prices.
NIV chasing occurs when traders or energy companies monitor the market and make decisions based on expected imbalances, either by adjusting their generation or demand. The goal is to position themselves in a way that takes advantage of favorable imbalance prices. For example, if a Battery Energy System (BESS) operator or optimizer expects the grid to be short on electricity, they might decide to withdraw from the storage and sell to the system in anticipation of the higher prices that result from the shortage. Similarly, if there’s an oversupply, they might decide to inject into the storage because they expect prices to drop.
This trading strategy is considered "passive" because there is no actual trading and no counterparty. While NIV chasing can be profitable, it also carries risks as imbalance prices can be extremely volatile and hard to predict.
Not all the European Transmission System Operators allow passive imbalance trading on their balancing markets. Passive imbalance trading is currently allowed only in a few specific countries such as the Netherlands, Belgium and the United Kingdom.
Ancillary services are essential operations that help maintain the stability and reliability of the electricity grid. They are generally managed by the Transmission System Operators (TSOs) and they help ensure that electricity supply and demand are balanced at all times and the grid frequency is kept at a stable level (50 Hertz in most countries); this is necessary for the reliable operation of the grid and to prevent outages and blackouts.
The main ancillary services products within the ENTSO-E area listed below, based on increasing activation time:
Frequency Containment Reserve (FCR) – Also known as primary reserve, FCR is the first response when there’s an imbalance between electricity supply and demand. It activates automatically within seconds to correct deviations in grid frequency, keeping it stable at the required level (typically 50 Hz in most regions). This rapid response prevents larger issues from developing. Due to the quick response times and small energy volumes involved, FCR participants are usually compensated for their capacity. The procurement of FCR is coordinated across several countries in continental Europe (FCR Cooperation) through joint daily auctions.
Automatic Frequency Restoration Reserve (aFRR) – Also called secondary reserve, aFRR takes over after FCR. While FCR handles the immediate imbalance, aFRR steps in after a few minutes to further stabilize the grid, continuously balancing supply and demand to maintain the grid’s frequency. Differently than FCR which is usually compensated only based on capacity, aFRR participants may be compensated both for their capacity and for the energy injected into or withdrawn from the system. For several European countries, aFRR is procured through a common cross-border platform called PICASSO (Platform for the International Coordination of Automated Frequency Restoration and Stable System Operation).
Manual Frequency Restoration Reserve (mFRR) – Known as tertiary reserve, mFRR is manually activated when needed. This service responds after aFRR if the imbalance continues for a longer period, usually within 15 minutes. mFRR provides more sustained support, ensuring that the grid remains stable while more long-term solutions are put in place. Similarly to aFRR, mFRR participants may be compensated for both their capacity and for their energy. For several European countries, mFRR is procured through a common cross-border platform called MARI (Manually Activated Reserves Initiative).
In a few countries, Replacement Reserve (RR) is also active, although it is not classified as a standard ancillary services product within the ENTSO-E area. This is the final reserve used to restore the grid’s balance over the long term. RR is activated after the other reserves and helps bring the grid back to normal operating conditions by replacing the reserves that were previously used.
Historically, conventional power plants (typically gas-fueled) and pumped-hydro storage (where present) have been the main providers of ancillary services. In the latest years, BESS are becoming more and more active as balancing services providers thanks to their extremely fast response times; BESS are indeed the most active in those balancing products such as FCR and aFRR that require the asset to be active within seconds or minutes.
KYOS Software models and Advisory
Although BESS may be participating in the ancillary services market, this is usually accompanied with doing price arbitrage on wholesale markets (Day-Ahead or Intraday).
Our software model KyBattery supports market players with energy storage valuations, allowing to forecast revenue streams coming from all of these markets and products. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full flexibility of energy storage.
Trading BESS capacity means maximizing revenues across several possible products and markets; this is referred to as “value stacking”.
BESS revenue stream sources may be split into two main groups:
Energy Arbitrage – Consists of buying electricity when prices are low (often during off-peak hours or when renewable generation is high) and selling it back to the grid when prices are high (during peak demand). This allows the operator to make a profit based on the difference between (high) selling price and (low) buying price. Energy arbitrage is typically done on electricity wholesale markets, such as Day-Ahead or Intraday.
Ancillary services – BESS can contribute to grid stability by providing ancillary services. BESS revenues from ancillary services typically come from balancing products that require the fastest response times, such as Frequency Containment Reserve (FCR) or Automatic Frequency Restoration Reserve (aFRR).
By combining several of these markets, operators of BESS systems can "stack" different revenue streams, thus increasing the overall value and return on investment of the energy storage system.
Different markets and products may result in different levels of profitability and risk; for example, energy arbitrage on the Day-Ahead market or offering capacity for FCR comes with relatively low risk but also limited upside potential. At the opposite, trading on the intraday and imbalances market comes with higher risk but also higher profit potential due to the high volatility of intraday and imbalance prices.
Our software model KyBattery supports market players with energy storage valuations, allowing to forecast revenue streams coming from all of these markets and products. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full flexibility of energy storage.
Short-term energy storage systems are designed to store and discharge energy quickly, often within seconds to hours. A common example is Battery Energy Storage System (BESS), who typically make a profit out of within-day or even within-hour price differences on the wholesale electricity markets (Day-Ahead or Intraday).
On the other hand, long-term energy storage is designed to hold energy for days, weeks, or even months. This type of storage is crucial for seasonal energy management, where excess energy generated during months of low demand needs to be stored for use during periods of high demand or during extended periods of low renewable production (these are commonly referred to as “Dunkelflaute”).
Natural gas storage is a typical example of long-term energy storage: natural gas may be injected into large underground reservoirs during the summer (when power and heating demand are low) and extracted during the winter (when power and heating demand are high).
The storage of green hydrogen is another example of long-term energy storage that is being considered as a possible option to decarbonize the energy sector: excess electricity production from intermittent renewable sources such as wind or solar could be used to power an electrolyzer to produce green hydrogen, which could be stored and later used as fuel to produce electricity when demand is high or renewable production is low, similarly to what is done with natural gas.
While short-term storage systems like BESS provide fast, flexible solutions to grid management, long-term storage options like gas and green hydrogen are key to ensuring energy security and stability over extended periods, particularly during seasonal shifts in renewable energy availability. Both are essential parts of a balanced energy system.
KYOS Software models and Advisory
KYOS’ expertise covers both short-term and long-term energy storage.
Our software model KyBattery supports market players with energy storage valuations, allowing to forecast revenue streams across multiple markets and products. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full flexibility of energy storage.
Our software model KyStore supports traders and portfolio managers in natural gas markets. The gas storage optimization software not only raises revenues from gas storage trading operations, but also provides accurate valuations and reduces risk with adequate hedge recommendations. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full optionality in gas storage facilities.
KYOS also advises owners and developers of green hydrogen projects with finding the optimal combination of green power and electrolysis and with assessing the income stream of the project.
Intraday power trading refers to the buying and selling of electricity within the same day of delivery, allowing market participants to adjust their positions after the Day-Ahead market has been cleared. This type of trading is essential for balancing the grid and managing short-term changes, such as sudden increases in demand or unexpected drops in renewable energy production. While electricity on the Day-Ahead market can generally be traded with hourly granularity at most, electricity on the intraday market can be traded with granularity up to quarter-hourly.
The largest exchanges in Europe for intraday power trading are EPEX Spot and NordPool Spot. Similarly to the Day-Ahead market, Intraday markets are coupled for several European market zones, meaning that demand bids may be matched with supply bids from a different market zone (XBID project for countries part of the Single Intraday Coupling, SIDC).
The European intraday market operates in two main segments:
Intraday Auction – This segment involves auctions held at specific times throughout the day, where market participants submit bids to buy or sell electricity. The auction results in a market-clearing price, and energy is traded based on this price.
Continuous Trading – After the auction, the market transitions to continuous trading, where electricity can be bought and sold in real time up to 5 minutes before delivery. In this segment, trades are made on a first-come, first-served basis, and prices fluctuate dynamically based on immediate supply and demand. The volumes traded on the continuous session of the intraday market are generally much higher than those traded during the auction session.
Intraday power trading plays a crucial role in maintaining grid stability, especially as more non-programmable renewable energy sources like wind and solar become a larger part of the energy mix. It allows market participants to be more responsive, managing short-term risks and ensuring that electricity supply meets demand at all times.
Intraday power trading often represents the main revenue stream for fast-response energy storage systems such as BESS (Battery Energy Storage System), who can quickly adjust their position to take the most advantage from the high volatility of intraday prices.
KYOS Software models and Advisory
Optimally trading BESS capacity requires assessing potential risk and revenue streams across multiple markets and products.
Our software model KyBattery supports market players with energy storage valuations, allowing to forecast revenue streams coming from multiple markets and products, including the intraday market. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full flexibility of energy storage.
Utility-scale batteries (also called grid-scale batteries) are large-scale Battery Energy Storage Systems (BESS), designed to store and supply electricity at the grid level.
Domestic batteries, such as those used in homes for solar energy storage, typically have capacities ranging from 5 to 20 kilowatt-hours (kWh), enough to power a home for a few hours or more depending on consumption. In contrast, grid-scale batteries are much larger, with typical sizes ranging from 1 MWh to over 100 MWh, capable of storing and releasing much larger amounts of energy.
Trading companies or utilities may take advantage of BESS’ fast response time to compensate for any imbalances within their own generation or demand portfolios, to do arbitrage on the Day-Ahead or Intraday markets or to provide ancillary services to the grid.
KYOS Software models and Advisory
Our software model KyBattery supports market players with energy storage valuations, allowing to forecast revenue streams coming from all of these markets and products. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full flexibility of energy storage.
A battery optimizer is a software or control system that helps maximize the profitability of a Battery Energy Storage System (BESS) by determining the best times to charge, discharge, and trade energy. The optimization is usually driven by algorithms making use of real-time data such as electricity prices, grid demand, and weather forecasts.
Besides maximizing profitability, optimizers usually take care of market access and financial reporting on behalf of their clients and are responsible for monitoring the health and performance of the battery, managing charging cycles to extend battery life and reduce degradation; this is important for ensuring the long-term efficiency and durability of the battery system.
The KYOS Battery Index
The KYOS Battery Index serves as a benchmark for battery optimizers. It shows the average daily revenue in the past months when trading a 2-hour battery in the intraday market across several European countries, including passive imbalance trading with 30% of the capacity for the Netherlands, Belgium and the UK. KYOS updates its index with quarterly frequency along with its Energy Storage Report. See more at https://www.kyos.com/energy-storage-report/
Benchmarking the performance of a battery optimizer is not a simple task. Looking at one market alone, for example the intraday market, one could compare how much of the realized spreads the optimizer has been able to capture. However, most BESS are active in more than one market at the same time; for example, they may be doing energy arbitrage on the intraday market while also providing ancillary services such as Frequency Containment Reserve (FCR) or automatic Frequency Restoration Reserve (aFRR).
The KYOS Battery Index
The KYOS Battery Index serves as a benchmark for battery optimizers. It shows the average daily revenue in the past months when trading a 2-hour battery in the intraday market across several European countries, including passive imbalance trading with 30% of the capacity for the Netherlands, Belgium and the UK. KYOS updates its index with quarterly frequency along with its Energy Storage Report. See more at https://www.kyos.com/energy-storage-report/
An accumulator is a popular financial product in commodity markets. It is mostly used in agricultural commodity markets, such as corn, wheat, soybeans, sugar, cacao and coffee, but also in other markets like aluminium and copper.
There are two main elements of an accumulator: volume and price. The price is fixed, but the underlying volume accumulates over time depending on the price development of a reference futures contract.
Example of a basis commodity accumulator contract
We take an accumulator contract on the September 2020 future for Coffee Arabica as an example. The accumulator is sold by a bank to a coffee blender at an accumulation price of 1.15 $/lbs, at a time when the futures contract is trading at 1.22 $/lbs. Between the signing date of the contract and the expiry date of the September 2020 future, the volume increases every day by 100,000 lbs. When the futures price drops below the trigger price of 1.10 $/lbs, however, the daily accumulation volume doubles. At the end of the contract period, the accumulator contract is financially settled. Suppose the total accumulation volume is 40 mln lbs and the settlement price is 1.19, then the bank pays the coffee blender 0.04 x 40 mln = 1.6 mln $. When the settlement price is below the accumulation price, the coffee blender pays the bank.
The double-up option
Without the double-up of the volumes below the trigger price, a bank would never offer this accumulator contract to the coffee company, because the price of 1.15 is below the current market price of 1.22 $/lbs. However, when the market price drops below the trigger price, it is likely that the bank will make money on the contract. Hence it is advantageous for the bank that volumes double. In fact, the relatively low price of 1.15 is financed by the bank with this exotic put option, which is embedded as a double-up in the accumulation contract.
The knock-out barrier option
Another element the bank could include is the inclusion of a knock-out option, a type of barrier option. With this knock-out option, the accumulation stops when the futures price rises above the knock-out price. This limits the potential losses for the bank. Both upsides for the bank allow it to sell the accumulator contract at an accumulation price below the current market price.
Additional accumulators
Accumulators are over-the-counter structures, allowing for many different forms. On top of the basis accumulator, a contract may have additional accumulators with their own accumulation prices, trigger prices and barrier options. At the initiation date of the contract, to avoid any upfront premium payments, the different price levels must be such that the initial mark-to-market value is zero.
Monte Carlo valuation of commodity accumulators
The best valuation methodology for these structures is based on Monte Carlo simulations, because the value of an accumulator depends on the price development over the entire accumulation period. The Monte Carlo valuation can yield a range of useful statistics, including a distribution of prices, volumes and mark-to-market.
Commodity accumulator contracts in the KYOS CTRM
The KYOS CTRM system is unique in its capability of capturing all types of accumulator contracts. For example, it shows the historical performance and the fair value of all the contracts. Plus the net position, exposures, mark-to-market and expected cash-flows, either stand-alone or in combination with the rest of your portfolio. The KYOS CTRM is a web based application which can easily interface with other systems and data providers. Click here to read more.
An indexed contract is very common in commodity markets, especially gas markets. It is also referred to as floating or variable price contract. It means that the price paid for the commodity depends on the evolution of market prices, spot or forward. The index price may be the price on that day or the average price over a certain historical time window.
The index may consist of settlement prices from an exchange or price assessments from an agency such as Platt’s, Argus or ICIS Heren. It is important to select the right index price. Firstly, the market price(s) must be published by a trustworthy organization, now and in the future, using a transparent methodology. Secondly, the market of the index must be sufficiently liquid to ensure that no party can easily manipulate the level of the index price. Finally, if the index market (e.g. Henry Hub) is different from the physical market (a local hub), it should be strongly correlated with the physical market or else have a strong correlation with the exposure of the buyer.
Depending on the portfolio and activities of the buyer and seller, an indexed contract is good for managing risks. For example, if the buyer wants absolute price certainty over the duration of the contract, then it is safer to buy at a fixed price. However, if he always wants to be close to the market, then an indexed contract is the better choice.
An indexed contract tends to contain less optionality than a fixed price contract: the difference between the contract price and the market price is generally smaller and less volatile. This reduces the arbitrage trading opportunities in the market, and hence the option value.
Advanced financial methodologies are needed for the calculation of the market option value, the price exposures, and the daily management of indexed contracts. KYOS is a specialist in this area with its software products KYOS Analytical Platform and KySwing.
A guarantee of origin (GoO) is an electronic document which proves electricity originates from a specific energy source. It is mainly issued for renewable energy sources. A guarantee of origin enables the traceability of green energy from the producer to the final consumer, even though the electricity networks obviously do not distinguish between different types of electricity.
A Guarantee of Origin (GoO) is similar to a green certificate, in that it proofs that power has been produced from a specific source. However, GoOs can be issued independently from governmental policies. Furthermore, GoOs do not necessarily apply to renewable production only, although the renewable GoOs are most common, such as for Nordic and Alpine hydro power, and Northern continental Europe wind power.
The price of the guarantee of origin depends on the willingness of final consumers to pay for green energy. Furthermore, the price depends on the specific source: a Nordic hydro power GoO may be less valuable than a GoO of local wind or solar production. This is because consumers realize that the purchase of a hydro GoO may not lead to any incentive for more renewable production, whereas a local wind or solar GoO is more likely having an impact. It is somewhat arguable whether a guarantee of origin stimulates green investments: price levels are rather low and have very little impact on the profitability of new investments.
As opposed to emission certificates, and similar to green and white certificates, the total market size for GoOs is quite small and trading rather illiquid, maybe with the exception of two or three types of GoO. Most trading activity is via brokers, such as STX, Cleanworld, Evolution Markets and Amsterdam Capital Trading.
Do you want to know more about the KYOS price forecasting services, read more on Price Analytics or contact us directly.
A green certificate is a tradable asset which proves that electricity has been generated by a renewable (green) energy source. It is also referred to as Renewable Energy Certificate (REC), Renewable Obligation Certificate (ROC) or more generally a Guarantee of Origin (GO or GoO) from a renewable energy source.
Instrument for governments to encourage renewable energy production
Green certificates are traded for compliance reasons or on a voluntarily basis. Green certificates are issued and traded in compliance markets because of governmental policies which require suppliers to have a certain percentage of renewable production in their supply portfolio. With green certificates, governments can set exact targets as to the level of renewable production in a country, while the market finds the most efficient way to meet these targets. It is an alternative to other policy mechanisms, such as renewable investment subsidies, renewable production subsidies, fiscal benefits and feed-in tariffs. A green certificate is typically issued per 1 MWh of renewable power, but in compliance markets the number of green certificates may depend on the source, whereby greener or more innovative technologies obtain more certificates than other technologies per MWh of power produced.
Green certificates, or more generally Guarantees of Origin, are purchased on a voluntary basis to get guaranteed green electricity. This allows end-users, businesses and households alike, to reduce their CO2 footprint. For corporates, this has commercial benefits, as it improves their reputation and provides a competitive edge in a society in which awareness and the importance of environmental impacts are ever increasing.
Green certificates from hydro power
Green Certificate trading
A green certificate may be considered the opposite of an emission certificate. Whereas emission certificates, such as EUA’s (EU Allowances), impose a cost on non-renewable production and set a maximum to the total emissions, green certificates create an extra revenue for renewable production and guarantee a minimum of renewable production.
The price of the green certificates depends on the scarcity in the market. The price is higher when the green certificates scheme is driven by tight targets of government policies. Certificates cannot be transferred between the European markets, as opposed to emission certificates, so the total market size is often small and trading rather illiquid.
This is one of the reasons why compliance markets for green certificates have lost popularity in recent years and just a few European countries still rely on this mechanism, including Belgium, Sweden, Norway and Poland. Most markets have been nationally organised, except for Norway and Sweden, which have the joint Elcertificates market (ElCert). Most trading activity is via brokers, such as STX, Cleanworld, Evolution Markets and ACT, or via the Green Power Hub platform.
ETRM stands for Energy Trade and Risk Management. CTRM stands for Commodity Trading and Risk Management. The names are used for a range of software solutions which support the trading and risk management of commodities.
ETRM for physical and financial trading
Commodity prices are often rather volatile and constitute a large portion of the total costs of production. Comprehensive ETRM and CTRM solutions support both physical and financial trading, and can deal with a wide variety of commodities, not only energy: power, natural gas, soft commodities (agri), metals, crude oil and oil derivatives, plastics, and more.
The solutions provide a transparent view of complex portfolios, and are used by energy producers, energy suppliers, large energy consumers and other companies with significant commodity price exposures. The systems aid both front office (traders), middle office and risk management, and back office.
From front-office to back-office
ETRM solutions ideally provide front-to-back support. This includes:
deal capturing and price management
logistics and scheduling
position management
risk reporting (VaR, EaR)
valuation and optimization
accounting, settlement, regulatory reporting
Each system has its own strengths and weaknesses, and each focusing on particular commodities, functional areas or user groups.
KYOS CTRM
Does your company have a significant exposure to commodity prices? Then KYOS has a cost-effective solution for your daily management. The KYOS application has been primarily designed for industrial companies with diverse commodity exposures and contracts across different business units and site locations.
Many industrial companies struggle to get a complete overview of the commodity price exposures, and this is where the KYOS application proofs to be very useful. It helps financial officers, purchasers and treasury managers to avoid unexpected losses due to commodity price movements, by providing a detailed insight in exposures, expected cash-flows, Mark-to-Market and more. It is a web based application which can easily interface with other systems and data providers. Click here to read more.
A virtual gas storage is similar to a gas storage contract, however it is not (fully) backed by a physical storage. Virtual products have typical simpler contract characteristics than those with fully physical backed products. This increases the ease of negotiating and trading such contracts.
Owners with multiple storages may combine the characteristics of the storages into one virtual version. The resulting pooling effect lead to less physical restriction and a commercially more attractive product.
Virtual gas storage products are traded bilateral between market participants, via brokers or via auctions.
Owners of multiple physical gas storage facilities may combine the characteristics into one virtual version to create a commercially more attractive product.
KYOS Software models and Advisory
Natural gas portfolio management is about managing price and volume risks. KYOS helps to optimize a portfolio with natural gas storage and swing contracts. Trade in the markets to maximize the flexibility value and minimize risks!
For example, our flagship software model KyStore supports traders and portfolio managers in natural gas markets. The gas storage optimization software not only raises revenues from gas storage trading operations, but also provides accurate valuations and reduces risk with adequate hedge recommendations. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full optionality in gas storage facilities.
Since the start of KYOS in 2008, our mission is to serve professionals in the energy business (power, natural gas and renewable) or those working with commodities with superior models to aid with decision-making. Use our analytical models to your advantage!
Please contact us for more information, just fill out the form in the black section below.
Gas storage marketing is the process of selling gas from underground gas storages to energy suppliers. Storage owners can sell (parts) of the storage to third parties as storage contracts. Depending on the regulatory regime it can even be a requirement to offer all capacity into the market. Most storage owners offer so-called standard storage bundles. A standard storage bundle contains a fixed ratio of injection capacity, withdrawal capacity and working gas volume. The ratio depends on the physical characteristics of the storage facility. Storage owners can also offer non-standard storage products, sometimes including even only injection capacity, withdrawal capacity or working gas volume.
Generally speaking, storage contracts can be marketed during pre-announced auctions, during bilateral negotiations or as a result of regulatory allocation. Storage contracts can be for one storage year, multiple storage years or for shorter periods.
Furthermore, the transfer of storage rights is governed by a standard storage agreement (SSA).
Gas storage marketing is the process of selling gas from underground gas storages to energy suppliers, though auctions, negotiations or regulatory allocations.
KYOS Software models and Advisory
Natural gas portfolio management is about managing price and volume risks. KYOS helps to optimize a portfolio with natural gas storage and swing contracts. Trade in the markets to maximize the flexibility value and minimize risks!
For example, our flagship software model KyStore supports traders and portfolio managers in natural gas markets. The gas storage optimization software not only raises revenues from gas storage trading operations, but also provides accurate valuations and reduces risk with adequate hedge recommendations. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full optionality in gas storage facilities.
Please contact us for more information, just fill out the form in the black section below.
Cushion gas is the amount of gas that is permanently stored in a natural gas storage. The main function is to maintain sufficient pressure in the storage to allow for adequate injection and withdrawal rates at all times. Another name for this type of gas is base gas.
The amount of required cushion gas depends on the type of storage. For example, in depleted gas reservoirs around 50% of the total volume consists of cushion gas. In comparison, salt caverns require typically around 25% of the total volume. Aquifer reservoirs require more: up to 80% of the total volume. In short, the exact amount required depends on the exact characteristics of the storage and the required withdrawal rates.
A natural gas storage requires cushion gas, or base gas to maintain sufficient pressure in the cavern. This way, it allows for adequate injection and withdrawal rates at all times.
As a result, cushion gas is an important cost element for a gas storage project. It can amount to 50%-80% of the total investment costs. You can only withdraw this gas at the end of the lifetime of a gas storage facility.
KYOS Software models and Advisory
Natural gas portfolio management is about managing price and volume risks. KYOS helps to optimize a portfolio with natural gas storage and swing contracts. Trade in the markets to maximize the flexibility value and minimize risks!
For example, our flagship software model KyStore supports traders and portfolio managers in natural gas markets. The gas storage optimization software not only raises revenues from gas storage trading operations, but also provides accurate valuations and reduces risk with adequate hedge recommendations. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full optionality in gas storage facilities.
Please contact us for more information, just fill out the form in the black section below.
The working gas volume (WGV) is the amount of natural gas that can be injected, stored and withdrawn during the normal commercial operation of a natural gas storage facility. The definition of WGV is the total volume of a gas storage minus the cushion gas. The cushion gas is the gas that is required to stay in the gas storage to maintain adequate pressure and injection and withdrawal rates in the storage.
Natural gas storage facility in Russia
KYOS Software models and Advisory
Natural gas portfolio management is about managing price and volume risks. KYOS helps to optimize a portfolio with natural gas storage and swing contracts. Trade in the markets to maximize the flexibility value and minimize risks!
For example, our flagship software model KyStore supports traders and portfolio managers in natural gas markets. The gas storage optimization software not only raises revenues from gas storage trading operations, but also provides accurate valuations and reduces risk with adequate hedge recommendations. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full optionality in gas storage facilities.
Please contact us for more information, just fill out the form in the black section below.
A natural gas storage is a facility that can store natural gas for an indefinite period of time. Natural gas storages are typically located underground and are therefore called as well underground gas storages, or UGS.
The main function of gas storages is to inject and store natural gas at time of low prices and/or low demand and use the gas by withdrawing at times of higher prices and/or higher demand. We can identify three parameters to characterize a gas storage: working gas volume, injection capacity and withdrawal capacity.
Working gas volume
The working gas volume is the amount of gas that can be injected into the storage and withdrawn at a later moment in time during normal commercial operation. The working gas volume is smaller than the total volume of the storage. A part of the storage volume needs always be filled with gas. This so-called cushion gas is required to maintain sufficient pressure in the storage to allow for adequate withdrawal rates.
Natural gas storage in Langelo (NL), which was previously a depleted gas reservoir.
Injection and withdrawal capacity
The injection and withdrawal capacity define the maximum rate gas that one can respectively inject or withdraw from the storage. The injection and withdrawal capacity is typically dependent on the pressure level inside the storage. The pressure level depends on the amount of working gas injected, the inventory level.
The inventory level dependent injection and withdrawal parameters are also called ratchets. In case little working gas is injected into the storage, the pressure inside the storage is relatively low. As a result, the injection capacity is typically at its maximum value and the withdrawal capacity at its lowest value. The more working gas is injected into the storage, the higher the pressure. Consequently, the injection capacity decreases and the withdrawal capacity increases.
Storage cycling rate
The storage cycling rate is the number of times a storage can be fully filled and emptied during one year. The cycling rate indicates the main usage of the storage. It is defined by the ratio between injection/withdrawal capacities and the working gas volume. Storages with an injection/WGV ratio of over 100 days are called seasonal storages. These storage have a cycling rate close to 1 and can only be used for one full storage cycle per year.
Seasonal storages are typically used to inject gas during the summer and withdrawal during the winter. Thereby creating the required profile required to supply natural gas to residential customers. Storages with injection/WGV ration of less than 30 days are called fast-churn storages. Fast-churn storages have multiple full storage cycles during a year. These storages are typically used for short-term balancing of a portfolio and/or arbitrage short-term price differentials
Types of gas storages
The most common types of gas storages are depleted gas reservoirs, salt caverns and aquifer reservoirs.
Depleted gas reservoirs are existing geological formations that have produced parts or all of the economically recoverable gas. The porous rock of many of these formations can be used again to inject, storage and withdrawal natural gas. Using depleted gas reservoirs can have advantages over other types of gas storage. Unproduced gas in the formations can be used as cushion gas, thereby lowering the investment costs. Furthermore, gas reservoirs are in many cases linked to existing gas infrastructure, again lowering investment costs. The cushion gas requirement of depleted gas reservoirs is in the order of 50% of the total storage volume. Gas storages located in depleted reservoirs have typically large working gas volumes, in the order of magnitude of hundreds of million cubic meters up to several billion cubic meters. Most storages in depleted fields are seasonal storages.
Salt caverns are man-made structures in thick layers of underground salt formations. The cavern are created by pumping fresh water down a borehole into the salt layer. The salt dissolves in the water and is pumped back to the surface. This process continues until the required size of the cavern is reached. Salt cavern storages require much less cushion gas than storages in depleted gas reservoirs, typically 25% of the total storage volume. Salt caverns are typically fast-churn storages.
Aquifers are natural, underground, porous formations that contain water reservoirs. The formation can be used to store natural gas. The process of converting a aquifer into a gas reservoir is typically long and expensive. The initial injection cycles need to be very slow to carefully push away the water. The amount of cushion gas required for an aquifer is high and can be up to 80% of the total gas volume. Aquifer gas storages are typically very large and used as seasonal storage.
Components of gas storage site
A natural gas storage site consists of the following main elements:
Storage wells to inject and withdrawal the gas from the underground storage.
Compressors to inject the gas into and withdrawal from the storage. During the injection compression is necessary in case the storage pressure is higher than the pipeline pressure, typically at high storage level. During withdrawal compression is necessary in case the storage level is lower than the pipeline pressure, typically at low storage level.
Gas treatment facility. Gas that is withdrawn from the storage may not be at the required specification from the pipeline network. This step may include the removal of unwanted elements, water, higher carbon hydrates, CO2 and H2S. It may also be required to change the calorific value or Wobbe index of the gas before releasing the gas into the gas network.
KYOS Software models and Advisory
Natural gas portfolio management is about managing price and volume risks. KYOS helps to optimize a portfolio with natural gas storage and swing contracts. Trade in the markets to maximize the flexibility value and minimize risks!
For example, our flagship software model KyStore supports traders and portfolio managers in natural gas markets. The gas storage optimization software not only raises revenues from gas storage trading operations, but also provides accurate valuations and reduces risk with adequate hedge recommendations. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full optionality in gas storage facilities.
Please contact us for more information, just fill out the form in the black section below.
Liquified Natural Gas (LNG) is natural gas that has been cooled down to approximately -162°C to become a liquid. Liquified, it takes about 1/600th of the volume of natural gas in the gaseous state. Natural gas is transformed into its liquified state to transport it economically over longer distances that are not covered by pipelines. It is typically transported in large vessels, but for smaller distances barges or trucks are also being used.
LNG is created from natural gas in a liquefaction plant. During this process, the natural gas will be treated to remove water and other components that will freeze. It can then be stored and transported in special compartments designed for cryogenic temperature. The compartments contain of two layers with a vacuum system in between to reduce heat transfer. Special LNG vessels transport the liquified natural gas from the liquefaction plants to its destination. The destination consists of a regas terminal, where the LNG is transformed again into the gaseous state before being injected into the local gas network.
The orange containers are typical for ships carrying liquified natural gas
Liquified natural gas is more and more used in this form, for example as a fuel for trucks, vessels and other means of transportation.
LNG is a traded commodity. Contracts are predominately long-term and often linked to specific liquefaction projects. Traditional long-term contracts have an oil-linked price structure and have a destination clause. With the evolvement of the LNG markets, contracts are getting shorter, more flexible and linked to gas indices as for example the Dutch TTF, US Henry Hub or Asian JKM. Spot trading of LNG cargoes is also expanding.
KYOS Software models and Advisory
LNG gas portfolio management is about managing price and volume risks. KYOS offers support to value contracts along the full value chain. We accompany you from valuing liquefaction or regas projects, LNG off-take agreements to LNG storage contracts.
For example, our flagship software model KyStore also works for LNG, and supports traders and portfolio managers in natural gas markets. The gas storage optimization software not only raises revenues from gas storage trading operations, but also provides accurate valuations and reduces risk with adequate hedge recommendations. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full optionality in gas storage facilities.
Please contact us for more information, just fill out the form in the black section below.
A swing option is a contract which provides flexibility as to when and how much of a commodity is taken. The offtaker of the commodity can "swing" (change) the quantity each hour or day. It is most commonly used in natural gas markets, but also in electricity, oil and other commodity markets.
Another name for a swing option is take-or-pay, or take-and-pay contract. This name refers to the minimum quantity that should be taken, or if not taken, should still be paid for. Such a minimum is one of the many volumetric constraints that are possible. Typical constraints are minimum and maximum daily contract quantities (DCQ), annual contract quantities (ACQ) and total contract quantities (TCQ). But essentially, there can be any type of constraint. When a constraint is violated, the option holder pays a penalty.
The price paid for the commodity can be fixed or floating. A floating price or indexed price means that it is the linked to the price or prices in the market. Compared to a fixed price contract, an indexed price contract contains less optionality: the difference between the contract price and the market price is generally smaller and less volatile. This reduces the arbitrage trading opportunities in the market, and hence the option value. On the other hand, if the contract is primarily entered into for acquiring the commodity, not for trading purposes, then an indexed contract ensures that a price close to the market is paid.
Swing contracts offer multiple interdependent exercise moments: they belong to the class of American-style path-dependent options. This means that most of the swing contracts cannot be broken down into plain-vanilla options and hence not be priced with standard solutions, such as the Black-Scholes formula. The market standard methodologies for valuing swing contracts are least-squares Monte Carlo and rolling intrinsic. Both methodologies are embedded in KySwing, a software product dedicated to swing contracts. It calculates the market value, value distributions, delta hedges and a range of other option Greeks.
Swing contracts or swing options are typical components of gas contracts, which offer the opportunity to vary the contracted volume under a number of restrictions. They are also known as Take-or-Pay (ToP), interruptible and variable load contracts.
KYOS Software models and Advisory
Natural gas portfolio management is about managing price and volume risks. KYOS helps to optimize a portfolio with natural gas storage and swing contracts. Trade in the markets to maximize the flexibility value and minimize risks!
For example, our flagship software model KyStore supports traders and portfolio managers in natural gas markets. The gas storage optimization software not only raises revenues from gas storage trading operations, but also provides accurate valuations and reduces risk with adequate hedge recommendations. The model uses advanced stochastics including Least Squares Monte Carlo techniques to capture the full optionality in gas storage facilities.
Please contact us for more information, just fill out the form in the black section below.
The Balancing Mechanism, or BM, is the main mechanism used by National Grid, the TSO in Great-Britain, and by EirGrid, the TSO in Ireland, to balance electricity supply and demand close to real time. Other countries have similar mechanisms and markets for managing the system balance after gate closure.
The diagram shows approximate times for the different transfers between the market segments. At the moment, the exact EPEX Auction times are[1]:
Day ahead hourly auction is at 12:00
Day ahead half-hourly auction is at 15:30
Intraday half-hourly auction is at 17:30
Intraday half-hourly auction is at 8:00
When the TSO predicts that there will be a discrepancy between electricity production and demand during a certain time period, it may accept a ‘bid’ or ‘offer’ from a market participant to either increase or decrease generation (or consumption). The operation of the BM relies on the flow of data and information between the TSO and market participants. This happens in real time to ensure that system balance is maintained. The TSO specifies the interfaces that must be used for these processes, to comply with the Balancing and Settlement Code (BSC).
The process of the Balancing Mechanism is as follows:
Each generator provides a detailed specification of the characteristics of its Balancing Mechanism Units (BMUs), its generation assets. In the GB market this is called Dynamic Data and Ireland refers to Technical Offer Data (TOD). In both cases, the data set contains detailed information about technical capabilities of the BMU. For example, it defines how long it takes to make a cold, warm or hot start, how the generation level is ramped up or down, what are the minimum on and off times, and other relevant generation data.
Every day, each generator bids into the day-ahead market. After the day-ahead auction results, the market generator knows which bids have been accepted.
Then the intraday trading process starts, in which the generators buy and sell power with other market participants. The intraday trading activity allows the generators to achieve a feasible and often more profitable dispatch of their asset.
Trading activity up to gate closure must be notified to the market operator, in the GB market being Elexon. These trades, submitted as Electricity Contract Volume Notifications (EVCNs), establish the position for each generator up to gate closure.
Before gate closure, the planned dispatch of the power generation asset, is sent to the Electronic Data Transfer (EDT) system of the TSO. The dispatch pattern is the Final Physical Notification (FPN) and consists of a series of elbow points. The elbow points contain the levels of production (in MW) at each half-hour, and all other minutes where there is a change in the speed of ramping up or down. The elbow points are the official schedule of the generation asset (BMU).
After gate closure, the TSO is responsible for maintaining system balance. The prices at which the TSO may vary the production of generation assets after gate closure, are submitted by the generators via bids and offers. Based on these bids and offers, the TSO issues instructions to the generators to adapt their production in the form of Bid Offer Acceptances (BOAs). The TSO ensures that the variations in production are feasible for the generator, i.e. in line with the TODs of the generation assets and the original dispatch schedule (the elbow points). When accepting these instructions, participants must then act to ensure that their BM units produce the required level of output. A failure to do so results in an imbalance. The variations in production are reconciled and (in the GB market) settled through Elexon’s Central Services. An important distinction between the BM and the wholesale spot markets is that all participants are ‘paid as bid’ not paid the price of the marginal provider of energy.
The TSOs in GB and Ireland use the Balancing Mechanism as the primary means to balance the system. However, they also use other mechanisms provided as ancillary services by market participants. These include e.g. the Firm Frequency Response (FFR), the short term operating reserve (STOR), Fast Reserve (FR) and Black Start.
Specialized optimization and decision support software assists generators in the Balancing Mechanisms in the GB and Irish markets. An example is the KYOS PN (Physical Notification) software. This real-time trading software uses very detailed information from the power plants and real-time information from the BM to inform the traders about the optimal dispatch of their generation assets and optimal bids and offers in the BM. It also takes care of the communication, via other software, with the TSO.
Spot power trading is generally defined as the trading of power in the wholesale market from day-ahead until just before delivery, gate closure. Day-ahead trading on a central day-ahead auction has traditionally been the main market mechanism for spot power trading. However, in response to the increasing penetration levels of intermittent renewable power generation, such as solar and wind, trading dynamics have moved to shorter horizons than day-ahead. Between day-ahead and actual production, the weather patterns can still change significantly, thereby changing the output from renewable generation. Being able to adjust trading positions accordingly, has become a key element to short-term balancing the portfolios of the power market operators, and thereby also balancing the system.
Spot trading can be divided into several segments:
Day-ahead auctions for delivery D+1
Intraday auctions for delivery D+1 or on the same day D
Continuous trading for delivery D+1 or on the same day D
Very short-term balancing trades with the TSO for delivery within the next 60 minutes or so
Day-ahead and intraday trading takes place via exchange auctions, continuous exchange trading and continuous over-the-counter (OTC) trading. The largest spot power exchanges in Europe are EPEX Spot and Nord Pool. Other spot power exchanges are often active in just one country, such as PTE in the Polish market and GME in the Italian market. Together with other energy exchanges, they are members of the Association of European Energy Exchanges, Europex. Markets organized by exchanges are anonymous and accessible to all participants satisfying admission requirements. They perform an important role in the pooling of liquidity, transparency, application of market regulation, payment and delivery security.
Market participants in day-ahead spot markets place bids and offers for individual hours or half-hours on the next day. Exchanges also offer the possibility to trade blocks of hours and to group the block bids and offers into families of children and parents. This is especially relevant for power generators which prefer to have continuous production in a series of hours to avoid start-stop costs.
As intraday and balancing markets evolve, so does the necessity to trade as close as possible to the time of delivery. This increases the challenges for power generators in the management of their dispatch operations and maintaining a balanced position. This applies to both intermittent generation, such as solar and wind, as well as flexible power generation, such as conventional assets (gas, coal, biomass, nuclear), hydro power and batteries.
Power scheduling, or load scheduling, is the logistical planning of physical power flows by an operator in the power market. A power market operator is a company which generates power, consumes power or physically trades power in the market. An operator feeds power into the system or takes it from the system at one or more locations.
Program-responsible parties are those operators which communicate directly with the Transmission System Operator (TSO) in a power system. They have an obligation to balance their own portfolio or to contribute to overall system balance. Where possible, the actual power flows are constantly measured. This is e.g. possible at large industries and at larger power generation assets. Other parts of the actual power flows, such as retail consumption or rooftop solar generation, are estimated on the basis of weather data and standard consumption profiles.
Operators must nominate their planned power flows to the TSO, with hourly, half-hourly or quarter-hourly granularity. This nomination starts day-ahead and can be updated closer to the actual time until the so-called gate closure. Gate closure is generally around 1 hour before the actual time of production or consumption.
The TSO grants the capacity to transport power through the network and is responsible for maintaining overall system balance. Once the operator has a physical position he has to nominate to the TSO the planned movements of power. Consequently, the administration and communication between the operators and the TSO plays an important role in the scheduling process.
Scheduling systems and software support the management of short-term physical power flows. They are either individual software applications or modules within a larger energy trade and risk management system. The software may be developed by companies in-house or licensed from external vendors, such as KYOS.
Power scheduling is closely linked to energy trading and risk management, to power demand forecasting, to renewable generation forecasting and to power plant optimization and dispatch. Scheduling systems collect all the positions of the operator, which can be a mix of:
traded positions,
varying levels of intermittent power generation, such as wind and solar,
varying levels of power consumption, both measured and unmeasured (retail) consumption,
flexible power generation assets,
interconnection flows between different market areas
The scheduling system must be connected to all of the above sources of power flows and report those to the TSO. The scheduling system may also optimize the power generation dispatch and trading positions to keep the portfolio in balance; this is called real-time position management. The real-time position management may be a largely manual process or be performed with automated trading software.
KYOS Energy Analytics offers various software models for power producers, utilities and traders. For more information about power market scheduling, power plant dispatch optimization and real-time position management, see KYOS solutions for power.
There are basically two types of power purchase agreements, PPAs: virtual (financial) and physical. A virtual PPA is a financial contract in which the connection between the renewable generation asset and the off-taker is quite loose. For example, the off-take may be in a different market area than the location of the asset. A virtual PPA with a fixed price is essentially a contract-for-differences: for each MWh of power produced by the generator, the buyer pays a price to the generator equal to the fixed price. In return it receives from the generator a variable (spot) price plus the Guarantees of Origin (GoOs).
Physical PPA
In a physical PPA structure, the generator and the off-taker must be on the same grid. A physical PPA is generally sleeved by a utility. This means that a utility is in between the generator and the off-taker to deliver the actual electricity, especially to manage the volume fluctuations. For this activity, the utility receives a sleeving fee – which is why a physical PPA is also called a sleeved PPA.
A natural role for a utility is to manage volume fluctuations of an energy portfolio, whereas this is not a natural role for a corporate consumer. Unless the generator is a utility itself, many physical corporate PPAs have a utility to “sleeve” the volumes from generator to corporate consumer.
In such a sleeved corporate PPA, the utility takes care of the short-term forecasting of the production, the daily nominations to the network operator and the short-term balancing, in return for a sleeving fee. In fact, the utility transforms the irregular flow of the renewable generator into a smoother flow for the consumer. With sufficient scale in such operations, a utility benefits from economies of scale and diversification to be of real added value.
KYOS PPA software and services
KYOS is a recognized expert in the renewable PPA market. We support clients in all financial aspects of the PPA life-cycle with an unrivalled software suite for the valuation and risk management of PPA contracts. Our dedicated and experienced team acts as advisor to individual transactions and helps companies execute a sound risk management strategy. Contact us for more information: info@kyos.com.
PPAs, or Power Purchase Agreements are contracts between professional parties for the supply of electricity. They are increasingly used to finance renewable generation assets to distribute the financial risks and rewards between asset owners and electricity buyers. They stipulate what volumes from the asset are being sold, at what prices and over what horizon. PPAs are not new; this type of contract has existed for decades in the conventional energy sector as ‘grey PPA’. However, the popularity has risen enormously in the field of renewable generation, and nowadays a PPA generally refers to a ‘renewable PPA’ or ‘green PPA’.
Buyers of PPAs
Natural players on the buy side of PPA contracts are the supply companies and utilities. They can integrate the electricity in their portfolio, often already comprising the direct ownership and management of other renewable assets. Utilities redistribute the power to the actual consumers, such as households and businesses. Those end-users can also decide to contract renewable energy directly from the solar park or wind farm. This is the market of so-called corporate PPAs. So far, only the largest corporate companies have entered this space.
Contract parameters
The contract duration for a green PPA is often 10 years or longer. One reason is that each contract requires a certain level of structuring. This requires people and money, so is not something you wish to repeat every year. For shorter durations it is cheaper to trade standard contracts in the market place, such as forwards and futures.
Price and volume are other important PPA parameters. The price may be fixed or may be derived from a market index, such as an average power spot or forward price. Indexed contracts may additionally contain caps or floors to limit the price risk to the buyer (cap) or seller (floor).
In a ‘pay-as-produced PPA’, the volume exactly follows the generation of the underlying asset. That is ideal for the generator, but not always so for the consumer, which may have a very different consumption profile. For the benefit of the consumer, the PPA may deliver a flat volume (‘baseload PPA’), potentially with a monthly shape that matches the expected monthly generation profile (‘monthly baseload PPA’).
For more information on how KYOS can help with valuing Power Purchase Agreements (PPA) see our page on Renewables.