Track & Reduce Carbon Emission Using Planning Model to Make More Sustainable Operation for Refineries and Olefins

Abstract Balancing the dual challenge of reducing emissions while still ensuring profitable operations is top of mind for refiners and olefins producers around the world. Advancements in digital optimization technology can help industry leaders navigate the energy transition, meet sustainability goals, and optimize operations and enable companies to meet emission targets and still ensure profitable operations. Typically, the analysis in LP models is economically focused, balance tradeoffs between different operating parameters to determine how it affects the gross margin of the asset. However, LP models can be used to make operations more sustainable by improving energy efficiency and enabling sustainability decisions such as sourcing renewable electricity for your plant. Production Optimization using LP models can be used to predict and optimize the tradeoff between emissions and profits and help refiners to find a balance. Use of industrial AI (i.e., Hybrid model) can be a key enabler to make this decision with high confidence.