Prabhu Ramachandran

Optimizing operational efficiency and cutting emissions are goals shared by all organizations. Advanced analytics empowers plant teams with insights for predictive and prescriptive maintenance, reducing downtime and environmental impact. In this session, we’ll explore how Kaneka achieved a 17% reduction in downtime across 8 plants by applying AI and ML beyond standard use cases, significantly lowering emissions and energy consumption. 

• Learn how Kanela integrated advanced solutions into their workflows to accurately detect anomalies, enabling proactive maintenance and generating actionable insights. 
• Discover the impact of these solutions on energy consumption and emissions outputs, originating from reduced downtimes, as well as the optimized production capabilities achieved within plants 

While emission reduction strategies are a key focus, initial CAPEX can be a concern. Any project chosen must provide a balance between effective emissions reductions and operational gains. This panel will review strategies to identify the projects with the most potential for success, both from a sustainability and OPEX perspective  

• Using a bottom-up approach to gather emissions data from individual assets and identify projects that maximize both operational gains and emissions reductions. 
• How to evaluate and select the most economically viable emissions reduction projects, by considering CAPEX, operational efficiencies, and production gains 
• Different industries and organizations prioritize emission types differently. How can economic modelling help advocate for potentially lower priority emissions projects by highlighting their economic and operational benefits?