The CDU Operations Optimizer is an AI application that
learnt the correlation of operating parameters using plant operation data, dynamic simulators, and
AI technology (deep reinforcement learning).
The CDU Operations Optimizer provides optimal operating
parameters in real time during the switching operation, and contributes the optimal operation
in terms of energy saving, product loss minimization, reducing operation restriction, and
early switching completion etc.
Want to minimize product loss operation restriction related to crude oil changeover in Oil
Refinery operation
How to optimize operationWithout huge cost and schedule of modification
Engineering x AI
CDU Operations Optimizer
Features
AI Prediction: AI prediction and visualization of important instruments and quality
data of products
Visualization of operating status: Visualization of tray load, heat exchanger
dirtiness, etc.
Changeover evaluation: Technology transfer of advanced operation knowledge and skills
to junior operators
Optimization of operating parameters: Increase of middle distillate amount (minimize
residual oil), shortening of crude oil changeover time, optimization of heat balance
Value Proposition
Operation optimization: Application for the crude distillation unit that performs
crude oil switching operation about 100 times/year (advanced control application is difficult and forced
to manual operation)
Operation optimization: Improving yield of products and energy loss by optimum
operating parameters
Technology transfer: Supporting advanced operation knowledge and skills by switching
operation evaluation
