Lubricants

Lubricants that increase the fuel efficiency of machines can lower the carbon footprint of those industries where intensive machinery use is required. Growing demand for lower emissions and cost reductions has seen the development of more advanced engine and machinery system designs. These high-efficiency machines need similarly effective lubricants, that can deliver high thermal and pressure stability, to ensure performance under testing conditions.

Smart factories

Within a ‘smart factory’, technological advances allow for remote monitoring, maintenance and servicing as well as communication between different machines enabling businesses to make data-driven decisions. Rapid advancement in internet capability is enabling a wider implementation of the Internet of Things (IoT) technology in industry, to help businesses run their operations in a smarter, more realible way. 

Big data

The substantial amount of data available to industry today provides the opportunity to analyse the outputs of machinery and industrial processes, focusing on specific ways to optimize the operations of industrial firms. For example, having machinery data fed to an operations manager in real-time allows that manager to minimise idle time and to predict – and prevent – instances where equipment may run less reliable.

Machine learning and artificial intelligence

Machine learning and artificial intelligence can help collect and then process these vast amounts of operational data mentioned above, adapting recommendations in real-time to help improve equipment performance.

Nature-based Solutions

The use of carbon credits can help customers decarbonize by compensating for their emissions. These credits can be traded or purchased from projects that help to absorb CO₂ from the atmosphere, known as nature-based solutions.