@article{352,
author = "L. T. Popoola and A. A. Susu and A. A. Lateef and A. S. Grema",
abstract = "This study examined profit optimization of
crude oil distillation column using linear programming.
Experimental data obtained from a functioning crude oil
distillation column of Port Harcourt refinery, Nigeria was
used to validate the developed linear programming model
written in MATLAB. The objective function was stated as
difference between revenue generated from the sale of crude
oil fractions and the cost of crude oil at different flow rates.
The constraints were cases when each of the crude oil
fractions was assumed to be most valuable product. The
model equations were solved using multi objective
constrained linear programming optimization tool box in
MATLAB. Case 1 in which automotive gas oil (AGO) was
assumed to be the most valuable product with maximum flow
rate of 243.5 m3/hr gave the maximum profit of ₦15.71×106
/hr. The calculation was done on the assumption that crude
oil purchasing cost was $75.18/Barrel (₦75,667.107/m3) at
steady flow rate of 708.4 m3/hr. The maximum profit resulted
from maximum income of ₦36.28×106 /hr generated from the
sale of AGO as there tend to be linear and directly
proportional relationship between profit and income.
However, consideration should be given to operating costs
required in refining crude oil into finished products for
checking cost effectiveness of the whole process.",
issn = "2394-2894",
journal = "IJASM",
keywords = "Objective Functions;Constraints;Linear Programming;Profit Optimization;Crude Oil Distillation Column;Income",
month = "May-June",
number = "3",
pages = "59-64",
title = "{A}pplication of {L}inear {P}rogramming in {P}rofit {O}ptimization of {C}rude {O}il {D}istillation {C}olumn of {P}ort {H}arcourt {R}efinery, {N}igeria",
volume = "2",
year = "2015",
}