Pré-Publication, Document De Travail Année : 2024

ORION - Oil and Renewables Refining Industry Optimization and SyNergies

Résumé

This paper introduces ORION, a GAMS-based Mixed Integer Linear Programming model designed to optimize the refining sector. ORION is a multiplant model and considers the spatial distribution of supply, demand, and process units. It addresses not only conventional refinery operations, but also focuses on novel opportunities for integrating the sector into a context of carbon intensity reduction: processing of both fossil and renewable feedstocks, and the construction of small-scale modular refineries. Moreover, the model allows a two-step optimization to identify refineries with low utilization factors and subsequently evaluate how the industry responds to their closure. Those features of the model are demonstrated in a case study for Brazil, illustrating that ORION is useful for assessing risks (e.g., stranded assets) and opportunities (e.g., biomass co-processing, small-scale refineries) in decarbonization scenarios.

Mots clés

Fichier principal
Vignette du fichier
ORION - Oil and Renewables Refining Industry Optimization and SyNergies IFPEN Economic Papers n°157.pdf (4) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04588593 , version 1 (27-05-2024)

Identifiants

  • HAL Id : hal-04588593 , version 1

Citer

Clarissa Bergman-Fonte, Fernanda P D C Guedes, Frédéric Lantz, Pedro R R Rochedo, Alexandre Szklo. ORION - Oil and Renewables Refining Industry Optimization and SyNergies. 2024. ⟨hal-04588593⟩

Collections

IFP
58 Consultations
27 Téléchargements

Partager

More