Simulation basis for a techno-economic evaluation of chitin nanomaterials production process using Aspen Plus® software

Larbi, Fatma; García, Araceli; Valle, Luís J. del; Hamou, A.; Puiggalı́, Jordi; Belgacem, Naceur; Bras, Julien

doi:10.1016/j.dib.2018.08.130

Cited by 8 publications

(4 citation statements)

References 2 publications

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“…Several simulation tools or software are available, and the main ones are Aspen Plus, Aspen HYSYS, ChemCAD, Unisim Desing, SuperPro Designer, among others, which have been used successfully by different authors. For example, Oregigioni et al simulated the production of biomethane production from agricultural and food industry waste, and Larbi et al simulated the production of chitin nanomaterials; both emerging processes were simulated to analyze economic feasibility. On the other hand, Mestre-Escudero et al simulated existing processes such as the amine treatment unit, mercaptan oxidation unit, and sour water unit of a Latin American refinery to determine improvement opportunities.…”

Section: Introductionmentioning

confidence: 99%

Computer-Aided Modeling, Simulation, and Exergy Analysis of Large-Scale Production of Magnetite (Fe₃O₄) Nanoparticles via Coprecipitation

2021

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Magnetite nanoparticles present attractive properties including high magnetization, low toxicity, adsorption capacity, and simple preparation, making them efficient in water purification processes, soil remediation, and biomedical applications. In this sense, there is growing interest in the production of magnetite nanoparticles; therefore, evaluating the performance of this process on a large scale gives relevant information to process designers. In this work, the simulation and exergy analysis of large-scale production of magnetite nanoparticles via coprecipitation were performed using computer-aided tools. The process was modeled for the production of 807 t/year of magnetite nanoparticles; the data for the simulation were obtained from the literature, and experimental results were developed by the authors. The exergy efficiency of the process was estimated at 0.046%. The exergy of waste was estimated to be 105 313 MJ/h, while the unavoidable exergy losses were 2941 MJ/h. Washing 2 and 3 represented the most critical stages of the process, contributing 95.12% of the total irreversibilities due to the waste exergy, which corresponds to the water and ethanol exergy discarded in these stages. These results show that the process must be improved from the energy point of view and require the implementation of process optimization strategies to reach a more sustainable design.

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Section: Introductionmentioning

confidence: 99%

Computer-Aided Modeling, Simulation, and Exergy Analysis of Large-Scale Production of Magnetite (Fe₃O₄) Nanoparticles via Coprecipitation

2021

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“…For instance, Granjo et al [29] made use of Aspen Plus and Monte Carlo simulation to evaluate different manufacturing methods of sodium methoxide. More recent works on technoeconomic analysis based on Aspen Plus simulation have been reported for supercritical CO 2 extraction of Eucalyptus globulus bark [30], chitin nanomaterials production [31], and anaerobic digestion of sugarcane vinasses for biogas production [32]. Moreover, there were authors who reported the use of SuperPro Designer for technoeconomic analysis of various biochemical, pharmaceutical, and food processes.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Ti Powder from the Reduction of TiCl4 with Metal Hydrides in the H2 Atmosphere: Thermodynamic and Techno-Economic Analyses

et al. 2021

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Titanium hydride (TiH2) is one of the basic materials for titanium (Ti) powder metallurgy. A novel method was proposed to produce TiH2 from the reduction of titanium tetrachloride (TiCl4) with magnesium hydride (MgH2) in the hydrogen (H2) atmosphere. The primary approach of this process is to produce TiH2 at a low-temperature range through an efficient and energy-saving process for further titanium powder production. In this study, the thermodynamic assessment and technoeconomic analysis of the process were investigated. The results show that the formation of TiH2 is feasible at low temperatures, and the molar ratio between TiCl4 and metal hydride as a reductant material has a critical role in its formation. Moreover, it was found that the yield of TiH2 is slightly higher when CaH2 is used as a reductant agent. The calculated equilibrium composition diagrams show that when the molar ratio between TiCl4 and metal hydrides is greater than the stoichiometric amount, the TiCl3 phase also forms. With a further increase in this ratio to greater than 4, no TiH2 was formed, and TiCl3 was the dominant product. Furthermore, the technoeconomic study revealed that the highest return on investment was achieved for the production scale of 5 t/batch of Ti powder production, with a payback time of 2.54 years. The analysis shows that the application of metal hydrides for TiH2 production from TiCl4 is technically feasible and economically viable.

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“…Aspen Plus software process simulation is used in computeraided design, process optimization (e.g., improving production and process efficiency, minimizing operational costs and emission of waste that may be contaminant, improving energy efficiency, etc. ), solving operational problems, and so on [18][19][20]. In this paper, optimization of the process for the separation of NaCN and Na 2 CO 3 mixtures in a water-ethanol mixed solvent was carried out.…”

Section: Introductionmentioning

confidence: 99%

Estimation of interaction parameters of electrolyte NRTL model based on NaCN and Na2CO3 solubility in water–ethanol mixed solvent and process simulation for separation of NaCN/Na2CO3

Kim

Ri²,

Kim

et al. 2020

SN Appl. Sci.

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The solubility of NaCN and Na 2 CO 3 in the water-ethanol mixture was determined through experiments. Also the polynomial fit was used to lead to the relationship between the solubility of NaCN/Na 2 CO 3 and the solvent composition. In the meantime, the solvent molecular-electrolyte pair interaction parameters of electrolyte NRTL (eNRTL) model were estimated by using the data regression function of Aspen Plus software from solubility data of NaCN and Na 2 CO 3 in water-ethanol mixed solvent. The process simulation for separation and purification of NaCN and Na 2 CO 3 in water-ethanol mixed solvent was carried out by using Aspen Plus software. During the simulation, electrolyte equilibrium system in water-ethanol mixed solvent was observed by using eNRTL model property method, and the influence of several factors on the separation efficiency of NaCN was examined.

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Simulation basis for a techno-economic evaluation of chitin nanomaterials production process using Aspen Plus® software

Cited by 8 publications

References 2 publications

Computer-Aided Modeling, Simulation, and Exergy Analysis of Large-Scale Production of Magnetite (Fe₃O₄) Nanoparticles via Coprecipitation

Computer-Aided Modeling, Simulation, and Exergy Analysis of Large-Scale Production of Magnetite (Fe₃O₄) Nanoparticles via Coprecipitation

Synthesis of Ti Powder from the Reduction of TiCl4 with Metal Hydrides in the H2 Atmosphere: Thermodynamic and Techno-Economic Analyses

Estimation of interaction parameters of electrolyte NRTL model based on NaCN and Na2CO3 solubility in water–ethanol mixed solvent and process simulation for separation of NaCN/Na2CO3

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Simulation basis for a techno-economic evaluation of chitin nanomaterials production process using Aspen Plus® software

Cited by 8 publications

References 2 publications

Computer-Aided Modeling, Simulation, and Exergy Analysis of Large-Scale Production of Magnetite (Fe3O4) Nanoparticles via Coprecipitation

Computer-Aided Modeling, Simulation, and Exergy Analysis of Large-Scale Production of Magnetite (Fe3O4) Nanoparticles via Coprecipitation

Synthesis of Ti Powder from the Reduction of TiCl4 with Metal Hydrides in the H2 Atmosphere: Thermodynamic and Techno-Economic Analyses

Estimation of interaction parameters of electrolyte NRTL model based on NaCN and Na2CO3 solubility in water–ethanol mixed solvent and process simulation for separation of NaCN/Na2CO3

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Computer-Aided Modeling, Simulation, and Exergy Analysis of Large-Scale Production of Magnetite (Fe₃O₄) Nanoparticles via Coprecipitation

Computer-Aided Modeling, Simulation, and Exergy Analysis of Large-Scale Production of Magnetite (Fe₃O₄) Nanoparticles via Coprecipitation