Sesión [29]: Semi-Plenaria
Dr. Diego Carlos Cafaro
INTEC (UNL, CONICET)
"An MINLP Formulation for Planning Quality-Sensitive Crude Oil Supplies through Long-Distance Pipelines"
Subarea: 01a Termodinámica.
AUDITORIO CCT-2 ()
 | Dr. Diego Carlos Cafaro Investigador Adjunto del CONICET en el Instituto de Desarrollo Tecnológico para la Industria Química, NTEC (UNL, CONICET) y Prof. Asociado en la Univ. Nac. del Litoral. Prof. Diego C. Cafaro is an Associate Professor of Chemical and Industrial Engineering at the School of Chemical Engineering in the Universidad Nacional del Litoral (UNL), and Associate Researcher at the Argentine National Scientific and Technical Research Council (CONICET). He received his Ph.D. in Chemical Technology from Universidad Nacional del Litoral in 2009, and his B.S. in Industrial Engineering in 2004. He is member of the Academic Supervisory Committee of Industrial Engineering at the School of Chemical Engineering at UNL. He joined the Process Systems Engineering research group in 2001, working as an undergraduate fellow in the Institute of Technological Development for the Chemical Industry (INTEC). |
| After getting his B.S., he begun to assist Prof. Jaime Cerdá in Industrial Engineering undergraduate courses at the School of Chemical Engineering, and work on Ph.D. research projects at INTEC. In 2013, he visited the Center for Advanced Process-Decision Making (CAPD), at the Chemical Engineering Department of the Carnegie Mellon University, Pittsburgh, PA, USA. He was awarded with a Fulbright Postdoc Fellowship to begin the studies on the Optimal Planning of the Shale Gas Supply Chain, under the supervision of Prof. Ignacio Grossmann. His research contributions have been in the area of planning and scheduling the transportation of multiple refined products through oil pipeline networks, and the sustainable design, planning and development of shale gas and shale oil supply chain networks. His teaching interests include courses on Optimization, Production Operations and Supply Chain Management. He developed efficient tools for planning and scheduling real-world pipeline systems owned by major industrial firms like Petrobras (Brazil) and YPF (Argentina). He is currently leading R+D collaboration projects with YPF Tecnología (Argentina). Título de la conferencia: "An MINLP Formulation for Planning Quality-Sensitive Crude Oil Supplies through Long-Distance Pipelines" Resumen: The presentation is about a novel mixed-integer nonlinear programming (MINLP) formulation for planning crude oil supplies to an oil refinery through a long-distance, multi-commodity pipeline. The model precisely monitors key component concentrations keeping oil contamination below threshold values. The proposed MINLP formulation is based on a hybrid approach, combining the potentials of slot-based and general precedence continuous-time representations. General precedence sequencing variables are used to coordinate incoming/outgoing flows to/from every tank, and the approach simultaneously addresses the scheduling of a long-distance pipeline sequentially transporting crude oil batches of different qualities from storage to charging tanks, following a slot-based scheme. Compared to previous contributions, up to 28% cost savings are obtained in much shorter CPU times. | |