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Batteries

 

Manage and optimise the operation, value and risk of your battery storage assets.

Your Battery Storage Questions

How can I determine the true value of my battery storage assets?

How can I optimise charging and discharging decisions while accounting for complex operational constraints?

How do these choices impact my risk and profitability in an evolving market?

How can I forecast battery operation cashflows?

Lacima Analytics > Batteries enables you to optimise any batteries used to store energy for economic arbitrage, helping maximise value while managing risk. Whether you’re evaluating investment opportunities, optimising daily operations, or assessing long-term profitability, our solution delivers powerful insights into asset value, cashflows, and operational decisions.

By factoring in key constraints such as capacity, efficiency, cycle limits, and degradation over time, Lacima Analytics > Batteries empowers you to make informed, financially optimal storage strategy decisions. Advanced algorithms deliver insights that enable you to maximise returns, manage risks, and optimise your energy storage strategy – keeping you ahead in an increasingly complex energy landscape.

Our Batteries Solution

At the core of Lacima Analytics > Batteries is an advanced pseudo-optimisation algorithm that calculates charge and discharge decisions based on simulated market conditions. Using a rolling limited foresight window, the model evaluates price movements and operational constraints to identify the most profitable strategy at any given time.

Each decision, whether to charge, discharge, or hold energy, is made with a focus on maximising returns while considering real-world asset limitations like throughput constraints and degradation effects. The model also offers fine-tuning capabilities, allowing users to apply a shadow cost to charging decisions. This feature provides greater control over the optimisation decision process, informing operational strategy without distorting reported P&L.

As part of Lacima Analytics, this module works seamlessly with other Lacima Analytics’ modules including Earnings-at-Risk, Valuation, Simulation, and Stress Testing tools, giving you a comprehensive view of potential risks and rewards across different market scenarios.

Maximise returns with intelligent battery charge and discharge decisions
powered by our advanced pseudo-optimisation algorithm.

An image from Lacima Analytics' Batteries solution showing how returns can be optimised with smart battery charge and discharge decisions driven by a pseudo-optimisation algorithm.

The Batteries Features

Ensure precise modelling by defining key battery constraints such as battery capacity,
efficiency, cycle limits, and degradation to optimise operational decisions.

An image of the input screen where battery parameters like capacity, efficiency, cycle limits, and degradation can be set to ensure accurate modeling that informs optimal operational decision-making.

  • Asset optimisation – Inform charge/discharge decisions for maximum profitability.
  • Realistic asset constraints – Consider capacity limits, efficiency losses, throughput limits, and degradation over time.
  • Rolling foresight algorithm – Optimise operations with a limited prediction window.
  • Shadow cost adjustments – Fine-tune your optimisation strategy by influencing charge/discharge preferences.
  • Detailed operational insights – Track storage levels, asset cashflows, and performance metrics over time.
  • Portfolio-level reporting – Analyse battery storage performance within your broader asset portfolio.
  • Scenario-based risk analysis – Seamlessly operates with Earnings-at-Risk and Stress Testing tools to assess financial exposure.

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