Numerical modeling and optimization of product selectivity and catalyst activity in Fischer-Tropsch synthesis via response surface methodology: Cobalt carbide particle size and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mrow><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>/</mml:mo><mml:mrow><mml:mi>C</mml:mi><mml:mi>O</mml:mi></mml:mrow></mml:mrow></mml:mrow></mml:math>ratio effects

Amirov, Nurlan; Vakhshouri, Amir Reza

doi:10.1016/j.ijhydene.2020.08.219

Cited by 13 publications

(9 citation statements)

References 32 publications

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“…Râpă et al [72] equally found in their biosorption of Cu(II) ions to alginate/clay hybrid composite beads study that the PSO model best described the biosorption process [72]. While in the studies of Bai et al [80], Hu et al [82], and Khan et al [81] where Humulus scandens-derived biochar, biochar derived from Chaenomeles sinensis seed, and muskmelon peel biochar were utilized for the biosorption of Cu(II) ions, it was noticed that the biosorption processes were best close-fitting to the experimental data using the PSO model [86][87][88][89][90][91][92][93]. While in the studies of Sachan and Das [86] and Rahim et al [87] where the biosorption of Cu(II) ions to biochar obtained from plant biomass Saccarum ravvanne and decorated with manganese dioxide and desiccated coconut waste (DCW) effectiveness was assessed, it was noticed that the biosorption process followed the PSO model.…”

Section: Biosorption Kineticsmentioning

confidence: 99%

“…The results propose that the quadratic model (P-value < 0.05) has significant contributions. The determination coefficient defined the standard of the polynomial model as a basis of the degree of deviations using the average (mean) explicated by the model, and the values of adj-R 2 and R 2 show a good correlation between the projected and exponential data [88][89][90][91]. The projected R 2 of 0.9768 (SD), 0.9388 (SSD), and 0.7086 (SDA) is in realistic agreement with the adjusted R 2 of 0.9870 (SD), 0.9839 (SSD), and 0.9136 (SDA).…”

Section: Optimization Studymentioning

confidence: 99%

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Copper(II) ion removal by chemically and physically modified sawdust biochar

Eleryan

Aigbe

Ukhurebor

et al. 2022

Biomass Conv. Bioref.

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The difference between physical activations (by sonications) and chemical activations (by ammonia) on sawdust biochar has been investigated in this study by comparing the removal of Cu(II) ions from an aqueous medium by adsorption on sawdust biochar (SD), sonicated sawdust biochar (SSD), and ammonia-modified sawdust biochar (SDA) with stirring at room temperature, pH value of 5.5–6.0, and 200 rpm. The biochar was prepared by the dehydrations of wood sawdust by reflux with sulfuric acid, and the biochar formed has been activated physically by sonications and chemically by ammonia solutions and then characterized by the Fourier transform infrared (FTIR); Brunauer, Emmett, and Teller (BET); scanning electron microscope (SEM); thermal gravimetric analysis (TGA); and energy-dispersive spectroscopy (EDX) analyses. The removal of Cu(II) ions involves 100 mL of sample volume and initial Cu(II) ion concentrations (conc) 50, 75, 100, 125, 150, 175, and 200 mg L−1 and the biochar doses of 100, 150, 200, 250, and 300 mg. The maximum removal percentage of Cu(II) ions was 95.56, 96.67, and 98.33% for SD, SSD, and SDA biochars, respectively, for 50 mg L−1 Cu(II) ion initial conc and 1.0 g L−1 adsorbent dose. The correlation coefficient (R2) was used to confirm the data obtained from the isotherm models. The Langmuir isotherm model was best fitted to the experimental data of SD, SSD, and SDA. The maximum adsorption capacities (Qm) of SD, SSD, and SDA are 91.74, 112.36, and 133.33 mg g−1, respectively. The degree of fitting using the non-linear isotherm models was in the sequence of Langmuir (LNR) (ideal fit) > Freundlich (FRH) > Temkin (SD and SSD) and FRH (ideal fit) > LNR > Temkin (SDA). LNR and FRH ideally described the biosorption of Cu(II) ions to SD and SSD and SDA owing to the low values of χ2 and R2 obtained using the non-linear isotherm models. The adsorption rate was well-ordered by the pseudo-second-order (PSO) rate models. Finally, chemically modified biochar with ammonia solutions (SDA) enhances the Cu(II) ions’ adsorption efficiency more than physical activations by sonications (SSD). Response surface methodology (RSM) optimization analysis was studied for the removal of Cu(II) ions using SD, SSD, and SDA biochars.

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Section: Biosorption Kineticsmentioning

confidence: 99%

Section: Optimization Studymentioning

confidence: 99%

Copper(II) ion removal by chemically and physically modified sawdust biochar

Eleryan

Aigbe

Ukhurebor

et al. 2022

Biomass Conv. Bioref.

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“…Metode analisis ini dapat digunakan untuk menjelaskan hubungan pH, suhu reaksi dan waktu reaksi terhadap respon ukuran partikel. 20,[25][26][28][29] Akurasi analisis fungsi desirability dapat dibandingkan berdasarkan analisis plot kontur tiga dimensi. 20,[25][26] Gambar 1 adalah plot tiga dimensi dan kontur yang menunjukkan perubahan ukuran partikel nanokoloid HSA yang dihasilkan sebagai fungsi dari konsentrasi pH, suhu reaksi, dan waktu reaksi.…”

Section: Analisa Ukuran Partikel Dengan Dynamic Light Scattering (Dls)unclassified

Optimasi Sintesa Nanokoloid Human Serum Albumin sebagai Agen Limfoskintigrafi Menggunakan Central Composite Design-Response Surface Methodology

Lestari¹,

Setiyowati²,

Triningsih³

et al. 2022

jki

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“…RSM is considered a mathematical model that can accurately reveal study the relationship between various factors and response values [24][25][26]. It can quickly and effectively determine the best conditions for a multi-factor system [27][28][29].…”

Section: Design Of Experimental Condition Using Rsmmentioning

confidence: 99%

Wax Separated Effectively from Fischer-Tropsch Wax Residue by Solvent Desorption: Thermodynamic and Kinetic Analysis

Zheng

et al. 2021

Applied Sciences

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The separation and recycling of effective resources in Fischer-Tropsch wax residue (FTWR) are urgent because of the environmental hazards and energy waste they bring. In this study, organic solvents are used to separate recyclable resources from FTWR efficiently, achieving the goals of “Energy Recycle” and “Fisher-Tropsch Wax Residue Treatment”. The response surface methodology (RSM) response surface analysis model accurately evaluates the relationship among temperature, residence time, liquid–solid ratio, and desorption rate and obtains the best process parameters. The results show that the product yield can reach 82.28% under the conditions of 80 °C, 4 h, and the liquid–solid ratio of 24.4 mL/g. Through the kinetic analysis of the desorption process of FTWR, the results show that the desorption process conforms to the pseudo second-order kinetic model and the internal diffusion model. The thermodynamic function results showed that there were not only van der Waals forces in the desorption process, but other strong interaction forces such as hydrogen bonds. In addition, Langmuir, Freundlich, and BET equations are used to describe the desorption equilibrium. Scanning electron microscopy (SEM) were used to analyze the pore structure of FTWR during desorption. X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), and Gas chromatography-mass spectrometer (GC-MS) analysis confirmed that the desorption product’s main component was hydrocarbons (50.38 wt%). Furthermore, naphthenic (22.95 wt%), primary alcohol (11.62 wt%), esters (8.7 wt%), and aromatic hydrocarbons (6.35 wt%) compounds were found and can be further purified and applied to other industrial fields. This study shows that using petroleum ether to separate and recover clean resources from Fischer-Tropsch wax residue is feasible and efficient and has potential industrial application prospects.

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Numerical modeling and optimization of product selectivity and catalyst activity in Fischer-Tropsch synthesis via response surface methodology: Cobalt carbide particle size andH2/COratio effects

Cited by 13 publications

References 32 publications

Copper(II) ion removal by chemically and physically modified sawdust biochar

Copper(II) ion removal by chemically and physically modified sawdust biochar

Optimasi Sintesa Nanokoloid Human Serum Albumin sebagai Agen Limfoskintigrafi Menggunakan Central Composite Design-Response Surface Methodology

Wax Separated Effectively from Fischer-Tropsch Wax Residue by Solvent Desorption: Thermodynamic and Kinetic Analysis

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