CATEGORY: CDU – CRUDE OIL DISTILLATION UNIT
Ind. Eng. Chem. Res., Just Accepted Manuscript,
DOI: 10.1021/ie4000344, Publication Date (Web): August 6, 2013
Optimization
model of crude oil distillation units for an optimal crude oil blending and
operating conditions
Diana C. López C. , Luis J. Hoyos M. , Cesar A. Mahecha , Harvey
Arellano-Garcia , and Gunter Wozny
Abstract
Authors
offer a mathematical formulation of a Non Linear Programming (NLP) model which
simultaneously optimizes crude oil blending and operating conditions for a
system of Crude Oil Distillation Units (CDUs) at a Colombian refinery. The
system is composed of three industrial units processing a blend of five
extra-heavy crude oils and producing two commercial fuels, namely, Jet-1A and
Diesel.
The Model involves typical restrictions and the heat integration of
streams from Atmospheric Distillation Towers (ADTs) and Vacuum Distillation
Towers (VDTs) with the heat exchanger networks for crude oil pre-heating. Authors
employ a metamodeling approach in order to represent the ADTs. They model the pre-heating
networks with the mass, energy balances, and design equations of each heat
exchanger. They implement the NLP model in GAMS using CONOPT as solver. The
model solves various scenarios such that optimal profits are over 20% respect
to the cases without optimization. In each optimal case the extra-heavy crude
oils in the feed blending of each CDU required more severe operating conditions
such as higher temperature of the crude oil at the entrance to the towers,
greater flow rate of stripping steam at the bottom, and minor pressure of the
tower tops.
Full Text Source (Subscription or Fee): http://pubs.acs.org/doi/abs/10.1021/ie4000344
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