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Träfflista för sökning "WFRF:(Naqvi Salman) srt2:(2022)"

Sökning: WFRF:(Naqvi Salman) > (2022)

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1.
  • Kazmi, Bilal, et al. (författare)
  • Thermodynamic and economic assessment of cyano functionalized anion based ionic liquid for CO2 removal from natural gas integrated with, single mixed refrigerant liquefaction process for clean energy
  • 2022
  • Ingår i: Energy. - : Pergamon Press. - 0360-5442 .- 1873-6785. ; 239
  • Tidskriftsartikel (refereegranskat)abstract
    • The study proposes a novel integrated process in which ionic liquid is utilized to control carbon dioxide (CO2) emissions from the natural gas combined with a single mixed refrigerant-based liquefaction process to assist safe transportation over long distances providing a sustainable and cleaner energy. Commercially amines are utilized for CO2 sequestration, but amines entail energy-intensive regeneration with elevated process costs. The present study offers a solvent screening mechanism based on important parameters such as heat of dissolution, viscosity, selectivity, working capacity, vapor pressure, corrosivity, and toxicity. The selected solvents' performance is computed by sensitivity analysis suggesting imidazolium-based cation 1-hexyl-3-methylimidazolium[Hmim] functionalized with tricyanomethanide(tcm) as anion a potential natural gas sweetening solvent in comparison with commercially used solvent monoethanoloamine(MEA), conventional ILs 1-butyl-3-methylimidazolium hexa-fluorophosphate [Bmim][Pf(6)] and 1-butyl-3-methylimidazolium methyl sulfate [Bmim][MeSO4]. The obtained sweet gas is liquefied using a single mixed refrigerant-based process providing 0.99 mol fraction of liquefied CH4 with less overall specific compression power requirement of 0.41 kW/kg of natural gas. Moreover, an exergy analysis demonstrates that the [Hmim][tcm] based process has lower total exergy destruction of 7.49 x 10(3) kW and is found to utilize less overall specific energy consumption 0.49 kWh/kg of NG in contrast to other studied solvents. Furthermore, a detailed economic analysis establishes [Hmim][tcm]-based CO2 integrated with liquefaction technology offers 50.7%, 74.4%, and 85.8% of total annualized cost (TAC) savings compared with the MEA-amim][Pf(6)]-, and [Bmim][MeSO4], respectively. Hence, [Hmim][tcm] for CO2 removal and integration with liquefaction process will incur unit cost based on the total annualized cost to be $2.2 x 10(4)/kmol of purified NG.
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2.
  • Naqvi, Salman Raza, et al. (författare)
  • Circular Economy Approach to Address the Industrial Solid Waste Management
  • 2022
  • Ingår i: Handbook of Solid Waste Management. - Singapore : Springer. - 9789811642296 - 9789811642302 ; , s. 421-440
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • Industrial activities continuously generate diverse characteristics of various types of wastes. Industrial wastes varied from various process residues, wastes from pollution, or decontamination from operations and materials resulting from activities for contaminated soil remediation, ashes, oil, acidic wastes, plastic, paper, wood, fiber, rubber, metals, and glass. The circular tools indicate a restorative and regenerative system in which the streams of materials and products take place in a circular way. Considering social pressures, major industrial enterprises perceived the need for readjusting their production chains according to circular chains, which are more sustainable and consider the generated waste. This study aims to present the factors for sustainable waste management in major industrial enterprises based on the circular economy approach. The available data of a waste company is considered, and the model of circular economy such as fault tree analysis is applied to figure out the implementation of a circular process to industrial waste, especially those of lower value that have greater difficulties in being processed. The last section will propose a framework, opportunities, challenges, and trade-offs promoting circulatory industrial waste management.
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3.
  • Taqvi, Syed Ali Ammar, et al. (författare)
  • Simultaneous fault diagnosis based on multiple kernel support vector machine in nonlinear dynamic distillation column
  • 2022
  • Ingår i: Energy Science & Engineering. - : John Wiley & Sons. - 2050-0505. ; 10:3, s. 814-839
  • Tidskriftsartikel (refereegranskat)abstract
    • Although numerous works have been done, most of the studies in fault diagnosis are limited to single fault type at a time. Majority of the works reported in the literature do not extend the diagnosis of the root cause of the fault for simultaneous faults specifically in the distillation column. However, an industrial system is susceptible to more than one fault at a time, which may or may not be interrelated. These faults not only reduce the diagnosis performance but also increase the computational complexity of the diagnosis algorithm. In this work, therefore, a multiple kernel support vector machine (MK-SVM) algorithm is proposed to diagnose simultaneous faults in the distillation column. In the developed MK-SVM algorithm, multilabel approach based on various kernel functions has been utilized for the classification of simultaneous faults. Dynamic simulation of a pilot-scale distillation column using Aspen Plus(R) is used for generating data in normal and faulty operation. Eight different fault types are considered, including valve sticking at reflux and reboiler, tray upsets, loss of feed flow, feed composition, and feed temperature changes. In the classification of simultaneous faults, a combination of two, three, and four faults is introduced for the performance evaluation of the proposed MK-SVM algorithm. The result showed that the proposed MK-SVM has a high fault detection rate (FDR) of 99.51% and a very low misclassification rate (MR) of 0.49%. The MK-SVM-based classification is better with the F1 score of >97% for all combinations of faults. Moreover, it is observed that the proposed MK-SVM shows better fault diagnosis for single, multiple, and simultaneous faults as compared to other established machine-learning algorithms.
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