Post-event: Energy Trading Week 2024
ETW London September 2024
The Energy Trading Week 2024 in London was well attended this year. The two-day event gave industry experts from various disciplines like operations & technology, regulations & compliance, traders live, net zero, oil trading, LNG trading, and energy trading digitalization a platform to discuss current situations and challenges.
Cyriel de Jong was among the presenters and spoke in the energy optimization stream about ‘Powering profits: Unleashing the potential of battery storage – BESS optimization explained’. In his presentation, the following topics were discussed:
- Exploring factors that contribute to the value of batteries within European markets
- Moving beyond basic low, base, and high scenarios by utilizing Monte Carlo simulations
- Evaluating the value of various trading strategies and ancillary services related to batteries
- Comparing and analysing the historical performance of battery trading
To view his presentation: KYOS presentation BESS optimization – ETW London – 20240925
More information on financial aspects of renewable power
Have a look at the E-Book that Cyriel de Jong wrote on “The financials of renewable power and PPA’s”. It provides more insight in the various methods, for example used in long-term or short-term forecasting, creating simulations and price forecasts. Highly recommended! When you sign up for our newsletter, you will get free access to this E-Book.
(Battery) Energy storage valuation and optimization
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. Above all, the battery storage optimization software raises revenues from battery storage trading operations, and 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. Contact us for a free demo! info@kyos.com