In this work we develop a novel modeling and global optimization‐based planning
formulation, which predicts product yields and properties for all of the production units within …

In the context of the global energy transition, the refining industry is facing a major challenge
between economic profitability and environmental protection. Planning refineries using …

The paper focuses on the refinery-wide planning operations under uncertainties in product
demand and price via robust optimization framework coupled with global optimization …

The accuracy of secondary unit models including fluidized catalytic cracking, catalytic
reforming and delayed coking is essential for the refinery production planning. Through the …

This work demonstrates a case-study to create machine-learning based process models
from process data, which are connected into an overall process flowsheet and provide a …

The petroleum infrastructure, hydrocarbon costs, and process and distribution networks
influence integrated supply chains of mixed biofuels and petroleum derivatives (gasoline …

Optimization of the refinery production is essential for the economic success of a petroleum
refinery. Classical refinery production planning models employ input–output relationships for …

Due to quantity times quality nonlinear terms inherent in the oil-refining industry, performing
industrial-sized capital investment planning (CIP) in this field is traditionally done using …

Introducing a good educational program in the industrial environment may importantly differ
from implementing a well-taught course in academic settings in a number of aspects …

Oil refining is one of the most complex activities in the chemical industry due to its nonlinear
nature, which ruins the convexity properties and prevents any guarantees of the global …