Economic evaluation and sensitivity analysis of some fuel oil upgrading processes

El‐Temtamy, Seham A.; Gendy, Tahani S.

doi:10.1016/j.ejpe.2014.09.008

Cited by 11 publications

(7 citation statements)

References 4 publications

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“…The information on the Farrar indexes at the reported year and at 2016 are also included in Table . Investment costs were updated with the six-tenth relationship and Farrar indexes as follows: Table shows the cost of the utilities and hydrogen. − …”

Section: Resultsmentioning

confidence: 99%

“…An economical study was developed, showing a benefit of the proposed combined scheme, demonstrating that deasphalting prior to catalytic hydrotreating is a feasible option for its possible commercial application. The combina- 15 5.61 × 10 −6 electricity (USD/kWh) 20 0.1007 LP steam (USD/lb) 16 0.003 HP steam (USD/lb) 16 0.003 water (USD/1000 m 3 ) 17 0.0067 hydrogen (USD/mpc) 18,19 4.72…”

Section: Discussionmentioning

confidence: 99%

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Experimental Study and Economic Analysis of Heavy Oil Partial Upgrading by Solvent Deasphalting–Hydrotreating

et al. 2018

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Technical and economical evaluations were carried out for upgrading of heavy crude oil by a combined scheme of deasphalting and hydrotreating. Deasphalted oil was obtained at 60 °C temperature, 25 kgf/cm2 pressure, 5:1 solvent/oil ratio, and 1 h residence time, using n-heptane as the solvent. The deasphalted oil product was upgraded by means of hydrotreating at low severity reaction conditions: 360 °C temperature, 60 kgf/cm2 pressure, and 4 h reaction time. The technical and economic analyses demonstrated that the upgrading scheme is an appropriate option for producing transportable oil.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Experimental Study and Economic Analysis of Heavy Oil Partial Upgrading by Solvent Deasphalting–Hydrotreating

et al. 2018

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“…S.A. El-Temtamy and T.S. Gendy studied the economic evaluation and sensitivity analysis of some fuel oil upgrading processes, including the tornado diagram method [18]. H.B.…”

Section: Brief Review On Past Workmentioning

confidence: 99%

Intelligent Prediction of Clinker Formation Condition for Steam Boiler Tubes Using Artificial Neural Network

2019

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Ash, as one of the by-product of combustion either accumulates onto boiler tubes as slag or is collected by electrostatic precipitators attached to the backend of the boiler. Flue gas will transport these ash particles either to the inner surfaces of the boiler or to the dust collecting facilities at the backend of the boiler. Sintered ash deposits formed in the radiant section of the boiler are known as clinkers and they contribute to a wide variety of problems to the boiler. Preventative measures to combat clinker formation is in dire need to the energy sector. In this study, a prediction model using real plan data was developed for detection of clinker formation conditions. Several variations of Artificial Neural Networks were tried and test, with emphasis given on the feed-forward neural network, cascade neural network and recurrent neural network. In addition, sensitivity analysis was also conducted to determine the influence of random input variables to their respective response variables. The Tornado Diagram is selected as the method to determine the most influential parameter for clinker formation. It is expected that the Recurrent Neural Network prediction model and the identified most influential input parameter for clinker formation will assist operators in decision making for the maintenance of boilers.

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“…Adding phosphorus to Co(Ni)-Mo(W) Al 2 O 3 catalysts in an effort to increase the performance of HDS catalysts [6,7]. It was found that there is a small amount of phosphorus in the sulfided Co(Ni)-Mo/Al 2 O 3 catalysts have positive effect on the performance of HSD catalysts [8].…”

Section: Introductionmentioning

confidence: 99%

Hydrotreating Activity of Co-Mo/Al2O3 Promoted with Boron and Phosphorous

2017

Egypt. J. Chem.

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Economic evaluation and sensitivity analysis of some fuel oil upgrading processes

Cited by 11 publications

References 4 publications

Experimental Study and Economic Analysis of Heavy Oil Partial Upgrading by Solvent Deasphalting–Hydrotreating

Experimental Study and Economic Analysis of Heavy Oil Partial Upgrading by Solvent Deasphalting–Hydrotreating

Intelligent Prediction of Clinker Formation Condition for Steam Boiler Tubes Using Artificial Neural Network

Hydrotreating Activity of Co-Mo/Al2O3 Promoted with Boron and Phosphorous

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