An Optimization Model To Incorporate CO₂ Emissions in the Scheduling of Crude Oil Operations

Abstract

In previous works CO 2 emissions in oil refineries have been studied for production unit planning. In this manuscript the associated CO 2 mitigation costs are added to the scheduling of crude oil unloading and blending. Numerical simulations executed on literature cases show that the optimal scheduling may be affected, and thus CO 2 emissions may be greater than those predicted from production unit planning. Furthermore, the biobjective problem of maximizing profits and minimizing CO 2 emissions is studied; paretooptimal solutions and the lowest carbon pricing that induces the refinery to minimize CO 2 emissions are presented for each case.

Integrated Proactive and Reactive Scheduling for Refinery Front-End Crude Movement with Consideration of Unit Maintenance

“…Due to global competition, rigorous environmental regulation, and volatile crude/oil product market, the supply chain of crudes and petrochemicals needs advanced decision support more than ever to secure raw material supply, alleviate emerging concerns over sustainability, and hedge against various uncertainties. Substantial research efforts have been devoted into this area, and significant benefits have been accomplished through maximizing process profitability, minimizing environmental impact, , and enhancing operation robustness. − The crude supply chain generally involves upstream crude exploitation, midstream refining and processing, and downstream product distribution. The front-end crude movement of refineries is a critically important section to the entire supply chain, which covers crude importing by vessels, unloading and storing in port-side storage tanks (STs), transferring via long-distance pipeline (LDPL), blending in refinery-side charging tanks (CTs), and continuously feeding crude distillation units (CDUs) (see Figure ).…”

“…Due to global competition, rigorous environmental regulation, and volatile crude/oil product market, the supply chain of crudes and petrochemicals needs advanced decision support more than ever to secure raw material supply, alleviate emerging concerns over sustainability, and hedge against various uncertainties. Substantial research efforts have been devoted into this area, and significant benefits have been accomplished through maximizing process profitability, 1 minimizing environmental impact, 2,3 and enhancing operation robustness. 4−6 The crude supply chain generally involves upstream crude exploitation, midstream refining and processing, and downstream product distribution.…”