Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/63671
Título
Optimization of crude oil operations scheduling by applying a two-stage stochastic programming approach with risk management
Autor
Año del Documento
2024
Editorial
Elsevier
Descripción
Producción Científica
Documento Fuente
Journal of Process Control, 2024, vol.133, 103142
Abstract
This paper focuses on the problem of crude oil operations scheduling carried out in a system composed of a refinery and a marine terminal, considering uncertainty in the arrival date of the ships that supply the crudes. To tackle this problem, we develop a two-stage stochastic mixed-integer nonlinear programming (MINLP) model based on continuous-time representation. Furthermore, we extend the proposed model to include risk management by considering the Conditional Value-at-Risk (CVaR) measure as the objective function, and we analyze the solutions obtained for different risk levels. Finally, to evaluate the solution obtained, we calculate the Expected Value of Perfect Information (EVPI) and the Value of the Stochastic Solution (VSS) to assess whether two-stage stochastic programming model offers any advantage over simpler deterministic approaches.
Materias (normalizadas)
Procesos estocásticos
Petróleo
Materias Unesco
3321.13 Diseño de Refinerías
Palabras Clave
Stochastic optimization
Crude oil scheduling
Conditional Value-at-Risk
ISSN
0959-1524
Revisión por pares
SI
Patrocinador
Gobierno de España - proyects a-CIDiT (PID2021-123654OB-C31) and InCo4In (PGC 2018-099312-B-C31)
Junta de Castilla y León - EU-FEDER (CLU 2017-09, CL-EI-2021-07, UIC 233)
Junta de Castilla y León - EU-FEDER (CLU 2017-09, CL-EI-2021-07, UIC 233)
Propietario de los Derechos
© 2023 The Authors
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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