Evaluación de optimización estocástica aplicada a programación de operaciones de crudos en una refinería
- García García-Verdier, Tomás 1
- Gutierrez Rodriguez, Gloria 1
- Palacin, Carlos 1
- Méndez, Carlos 1
- Prada, César de 1
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1
Universidad de Valladolid
info
- Carlos Balaguer Bernaldo de Quirós (coord.)
- José Manuel Andújar Márquez (coord.)
- Ramon Costa Castelló (coord.)
- Carlos Ocampo Martínez (coord.)
- Jesús Fernández Lozano (coord.)
- Matilde Santos Peñas (coord.)
- José Enrique Simó Ten (coord.)
- Montserrat Gil Martínez (coord.)
- Jose Luis Calvo Rolle (coord.)
- Raúl Marín Prades (coord.)
- Eduardo Rocón de Lima (coord.)
- Elisabet Estévez Estévez (coord.)
- Pedro Jesús Cabrera Santana (coord.)
- David Muñoz de la Peña Sequedo (coord.)
- José Luis Guzmán Sánchez (coord.)
- José Luis Pitarch Pérez (coord.)
- Oscar Reinoso García (coord.)
- Oscar Déniz Suárez (coord.)
- Emilio Jiménez Macías (coord.)
- Vanesa Loureiro Vázquez (coord.)
Argitaletxea: Servizo de Publicacións ; Universidade da Coruña
ISBN: 978-84-9749-841-8
Argitalpen urtea: 2022
Orrialdeak: 508-513
Biltzarra: Jornadas de Automática (43. 2022. Logroño)
Mota: Biltzar ekarpena
Laburpena
This paper addresses the optimization of crude oil operations, considering uncertainty, in a marineaccess refinery. First, we evaluate the performance of a two-stage stochastic programming model. For this purpose, we calculate the measures Expected Value of Perfect Information (EVPI) and Value of Stochastic Solution (VSS), which allow us to assess and compare the solution of the stochastic model against solutions obtained from deterministic models. Secondly, we present an analysis of the solutions obtained by including risk management in the stochastic model, using the Conditional Value at Risk (CVaR) measure.