06 May 2026

More realistic battery storage asset modelling

Lacima has enhanced its battery storage modelling capabilities to better reflect real-world operational behaviour and asset degradation dynamics.

These updates enable more accurate analysis of battery performance, supporting better operational and investment decisions in increasingly volatile energy markets.

More realistic asset behaviour

Battery modelling now allows users to represent key physical and operational constraints, including:

  • Adjusting capacity and efficiency as assets degrade over time
  • Setting minimum charge levels
  • Defining limits on charge and discharge cycles

These enhancements provide a more realistic view of storage performance and long-term asset economics.

Lacima Analytics battery storage modelling screen showing battery asset inputs, operational settings and configuration parameters.

Improved decision support

By incorporating throughput and degradation effects into modelling workflows, users can:

  • Better forecast battery cashflows
  • Improve operational optimisation strategies
  • More accurately assess storage asset value and risk

This supports both short-term trading decisions and long-term asset planning.

Lacima Analytics output screen displaying a battery storage optimisation chart showing charging, discharging and asset performance results.

Dedicated module availability

To better support specialised storage analysis, Batteries functionality is now available as a dedicated contract type within Lacima Analytics.

This separation enables more focused modelling, reporting, and integration with storage asset management processes.

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