System Optimisation

The duty cycles required from energy storage systems change with market conditions; batteries perform differently as they degrade; the priorities of system owners and operators change, and these can all impact on system efficiencies and longevity.

Working with customers, our team has the ability to continually optimise the performance of systems as requirements change. Multiple operating modes combined with technical expertise and machine learning mean system performance can be continually reviewed and adapted to maximise return on investment.

Given the varied characteristics of second life batteries, our ability to optimise their performance on an individual basis, and ensure that the system is not constrained by an individual battery, is critical and a key benefit of our systems and processes.