KyBattery supports all types of energy storage assets, including pumped hydropower storage, battery storage, hydrogen storage, compressed air energy storage (CAES) and heat storage. All of them play an increasingly important role to support balancing the electricity system.
Our KyBattery tool supports traders and portfolio managers in electricity markets. The battery storage optimization software raises revenues from battery storage trading operations, 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 battery storage facilities.
The energy valuation model calculates the fair value of an energy storage. The model shows which part of the value is intrinsic and which part is extrinsic. To capture the extrinsic value, you will need to exercise a more active trading strategy.
Use the intuitive and realistic Monte Carlo simulation model with confidence to obtain your extrinsic values. The model applies a combination of forward and spot trading strategies to the simulated price scenarios, using dynamic programming and least-squares Monte Carlo. This type of valuation provides therefore a fair assessment of the future value.
KyBattery shows on an hourly granularity which market trades are optimal to hedge risks and lock in profits. You can choose between intrinsic hedging and delta hedging, two strategies to secure profits.
The KyBattery software includes all storage characteristics. This includes not only time and volume dependent charge and discharge rates and efficiencies, but also time varying costs, interruption rights and reduced availability because of maintenance.
Of course we have integrated KyBattery in our KYOS Analytical Platform. Automated data feeds ensure that you get up-to-date trading recommendations every day. Certainly it guarantees transparency, because analysts can evaluate each individual price scenario.
Advanced Monte Carlo simulation techniques provide the basis for the KyBattery Optimization software, using our KySim model. Important characteristics are a mean-reverting multi-factor model coupled with long-term, short-term and seasonal dynamics.
Furthermore, the volatility term structure and other simulation inputs are easily derived from historical data with the accompanying calibration tool. Alternatively, you can also use implied option volatilities, by overwriting the historical volatility estimates.
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