Optimisation of the energy efficiency and the CO&lt;inf&gt;2&lt;/inf&gt; reduction, for the NGL separation

Brahim, Ahmed Ould; Abderafi, Souad

doi:10.1109/irsec.2016.7983862

Cited by 2 publications

(4 citation statements)

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“…Operating parameters vary depending on the separation unit. In our previous work (Ould Brahim & Abderafi, 2016), different pressure values, generally applied in refineries, were tested. For the dethanizer, the pressure was varied from 16 to 23 atm and for the depropanizer, the pressure was varied from 14 to 19 bar.…”

Section: Methods Sensitivity Analysismentioning

confidence: 99%

“…The use of optimal variables allows a gain in total operating energy equal to 38.37%. To evaluate the performance of the overall LNG separation process, the optimal values of pressure and reflux rate, obtained for the two columns of the Deethanizer and depropanizer in our previous work (Ould Brahim and Abderafi, 2016) and those of the debutanizer found in this study. These values were used to calculate the energy consumed, the operating cost and the concentrations of greenhouse gas emissions, for the studied LNG separation process.…”

Section: Debutanizer Optimization By Gamentioning

confidence: 99%

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Optimization of Energy Consumption of the Debutanizer Column, Using Genetic Algorithm

BRAHIM,

ABDERAFI

2023

EPSTEM

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In the light of the emissions associated with fossil fuel combustion and their associated health and environmental impacts, natural gas is becoming increasingly attractive when compared with other fuels. The separation of natural gas liquids (NGL) in gas processing is energy-intensive, which is performed by a series of column among them the debutanizer column. This latter is used to separates C4 cuts and lighter components from NGL, typically gasoline, requiring modeling and optimization to reduce energy consumption. This work presents a rigorous methodology for modeling and optimization energy consumption of debutanizer column. This methodology is to develop a statistical model that will be used to test the variation of the energy consumed by the process, depending on columns parameters that have a great influence on this consumption. An experimental design was implemented and the data required for modeling were obtained by numerical simulations studies of debutanizer column, basing on Peng-Robinson (PR) thermodynamic model. Simulation results were validated successfully and the resulting model will be operated, using a genetic algorithm. The genetic algorithm modeling allows us determining the optimal values of reflux ratio and pressure of column, which provide savings in energy consumption for NGL separation process.

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Section: Methods Sensitivity Analysismentioning

confidence: 99%

Section: Debutanizer Optimization By Gamentioning

confidence: 99%

Optimization of Energy Consumption of the Debutanizer Column, Using Genetic Algorithm

BRAHIM,

ABDERAFI

2023

EPSTEM

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“…In the combustion of fuels, air is assumed to be in excess to ensure complete combustion, so that no carbon monoxide is formed. The concentration of CO 2 emissions (in kg/s), is related to the amount of fuel burnt, Q Fuel in a heating device [2]. Hence, the optimal value obtained was used to determine CO 2 emissions.…”

Section: Calculation Of Co 2 Emissionsmentioning

confidence: 99%

“…The later is used to separates butane (C 4 ) cuts and lighter components from NGL, typically gasoline. In previous work, modelling and optimization of the distillation column of NGL fraction are studied, especially, for the two first columns [2]. The energy efficiency of the distillation columns was realized, by testing the effects of reflux ratio and column pressure on deethanizer and depropanizer columns.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Improvement of Debutanizer Column, for NGL Separation

Brahim¹,

Abderafi²

2021

IJESD

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Compared to other petroleum, the natural gas combustion remains the cleanest and the one showing less CO2 emission. These reasons make the natural gas combustion one of the important issues to study. The separation of NGL is energy intensive. This operation is performed through a series of column including the debutanizer column. The present work is devoted to optimize the energy consumption at the level of the debutanizer column. The response surface technique and deploying a central composite numerical design is followed makes use of available data from a refinery. Using a multiple linear regressions, the optimization method leads us to three reliable models. Each of the three models takes as input the reflux ratio and the head pressure in order to predict the condenser heat duty, the reboiler heat duty and the purity of the produced butane. Suggested mathematical models were validated and their reliability was assessed via a set of statistical analyses. The optimization aims to simultaneously minimize the energy consumption of the condenser and reboiler, and maximize the purity of the ejected Butane. This optimization step allowed us to define the optimal values of reflux ratio and head pressure, with desirability function equal to 99 %. Under the determined optimal values, operating energy and cost of the industrial process were reduced by 38 % and 37 %, respectively, and besides, a high purity of butane was noticed reaching 99 %. From an economic point of view, separation NGL with optimal values of pressure and reflux ratio, may contribute to a decrease of CO2 emission and increases the energy efficiency.

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Optimisation of the energy efficiency and the CO<inf>2</inf> reduction, for the NGL separation

Cited by 2 publications

References 1 publication

Optimization of Energy Consumption of the Debutanizer Column, Using Genetic Algorithm

Optimization of Energy Consumption of the Debutanizer Column, Using Genetic Algorithm

Energy Efficiency Improvement of Debutanizer Column, for NGL Separation

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