CASE STUDY

Simulation-Powered Deep Learning Achieves 25.05% Energy Savings in Distillation Column Optimisation

28 Aug 2024

28 Aug 2024

Goals

The alkylation of 1-butene to produce octane and dodecane is a common refining process in the petrochemical industry. This study aims to:

Optimise the process using the Orbital foundation model within the DWSIM simulator, comparing its performance against best-in-class alternatives, including Linear Programming and Ensemble methods.

Leverage Orbital’s recommendation engine to optimise for reduced total input energy while maintaining consistent product quality specifications.

Energy Intensity Index (EII) prediction & root-cause analysis

Results

0

%

energy consumption reduction

energy consumption reduction

$0

annual cost savings

annual cost savings

0

metric tons of CO2 emissions reduction annually

metric tons of CO2 emissions reduction annually

STAY UP TO DATE

Sign up for news and updates

© Kashmir Intelligence 2024

Kashmir Intelligence is a remote first company headquartered in London, UK

© Kashmir Intelligence 2024

Kashmir Intelligence is a remote first company headquartered in London, UK

© Kashmir Intelligence 2024

Kashmir Intelligence is a remote first company headquartered in London, UK