Predictive Maintenance plays a vital role in improving plant performance and reducing unplanned shutdowns, which helps optimize carbon emissions.

With global warming becoming a major concern, the industrial sector is increasingly focused on minimizing its environmental impact. So, how can we move towards net-zero emissions or optimize carbon emissions in your industry?

The process starts by reviewing operations to identify machines or processes that contribute most to emissions. These can then be prioritized for tuning or performance improvements to minimize waste and emissions. Methods such as Life Cycle Assessment (LCA) are useful for this purpose.

Critical machines, in particular, benefit from Predictive Maintenance, a technique that monitors machine health and predicts how long equipment can run under current conditions. This approach helps prevent unexpected failures, improving both performance and efficiency.

By implementing Predictive Maintenance, plants can better plan material usage, manpower, and shutdown schedules, reducing production losses. It also improves machine energy efficiency, aligning with global goals to lower greenhouse gas (GHG) emissions and achieve net-zero targets.

Even a 1% degradation in a 1MW gas turbine can produce up to 0.21 MTCO2 in emissions.