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This book introduces model-based optimization as an emerging practice in the industry. The topics like petroleum refining processes, refinery basic economics, basic concepts in mathematical programming, applications of mathematical programming for refinery optimization are covered. More importantly, case studies related to practical refinery configuration design, retrofit and issues with industrial size and significance are emcomprassed. It wi...

This work proposes a hybrid of stochastic programming (SP) approaches for an optimal midterm refinery planning that addresses three forms of uncertainties: prices of crude oil and products, demands, and yields. An SP technique that utilizes compensating slack variables is employed to explicitly account for constraint violations to increase model tractability. Four approaches are considered to achieve solution and model robustness: (1) the Mark...