Predictive Maintenance: Lower Downtime, Lower Carbon Emissions

Unplanned outages in power plants, industrial sites or data centres are expensive – financially and environmentally. When equipment fails, operators often switch to less efficient backup solutions or run assets in suboptimal modes, increasing fuel use and emissions.

Predictive maintenance powered by AI uses vibration data, temperature trends, power quality and historical failure records to estimate the probability of failure for each critical asset. Instead of fixed-interval maintenance, interventions are scheduled exactly when they are needed.

The result is a double benefit: fewer breakdowns and lower operational risk, combined with improved energy efficiency and a measurable reduction in carbon intensity per unit of output.