Response Surface Methodology and Aspen Plus Integration for the Simulation of the Catalytic Steam Reforming of Ethanol

Cifuentes, Bernay; Figueredo, Manuel; Cobo, Martha

doi:10.3390/catal7010015

Cited by 26 publications

(9 citation statements)

References 76 publications

(125 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accordingly, the challenge to integrate H2 production and purification lies on finding a catalytic system that ensures an elevated H2 production and a complete CO removal in the post-reforming streams, reducing the number of reactor units. In previous works, our group designed an active and stable catalyst for the SRE by assessing different supports (CeO2, ZrO2, and La2O3) [15] and Rh:Pt ratios [16], as well as a novel mixed Ce:Si support [17]. In particular, a RhPt/CeO2-SiO2 catalyst with 0.4 wt % Rh, 0.4 wt % Pt, and a Ce/Si molar ratio of 2 in the support yields a H2-rich stream (71% of H2, 18% of CO, 3% of CO2, and 7% of CH4), making it a promising material for mobile and stationary applications.…”

Section: Figurementioning

confidence: 99%

Fuel-cell grade hydrogen production by coupling steam reforming of ethanol and carbon monoxide removal

Cifuentes

Bustamante

Conesa

et al. 2018

International Journal of Hydrogen Energy

Self Cite

View full text Add to dashboard Cite

The integration of H2 production and purification is an essential step in the development of sustainable power generation in proton exchange membrane fuel cells. Thence, coupling of steam reforming of ethanol (SRE) and carbon monoxide removal was evaluated for further hydrogen production in fuel cells. Firstly, SRE on RhPt/CeO2-SiO2 catalyst was carried out at 700 °C, displaying a stable product distribution for 120 h. Then, CO removal from the actual post-reforming stream was evaluated over several AuCu/CeO2 catalysts with different Au:Cu weight ratios (1:0, 3:1, 1:1, 1:3, and 0:1). The role of each active metal was identified: Au favors CO conversion by the formation of carbon intermediates, and Cu improves CO2 selectivity due to its redox properties. A 1:1 Au:Cu weight ratio on the AuCu/CeO2 catalyst at 210 °C favors complete CO removal from the post-reforming stream, achieving fuel-cell grade hydrogen production. However, 25% of H2 was loss during the CO removal step, which is very high compared to studies with synthetic feeds. These high H2 loss would be the result of a complex network of reactions occurring during the real post-reforming cleaning. Characterization tests allowed us to identify that CeO2, combined with the Cu redox properties, favors water decomposition and CO conversion. Likewise, catalyst reduction might favor Au-Cu alloy formation due to the similar crystal lattice. Finally, stability tests showed that Au1.0Cu1.0/CeO2 catalyst is susceptible to rearrangement due to the cumulative oxidation of its surface during operation. Nonetheless, periodic insitu reduction treatment contributes to the Au-Cu alloy formation and stabilization, maintaining high activity and mitigating H2 loss. Indeed, Au1.0Cu1.0/CeO2 catalyst was active for 95 h when reduced every 24 h, achieving fuel-cell grade hydrogen with a minimum of 14% H2 loss.

show abstract

Section: Figurementioning

confidence: 99%

Fuel-cell grade hydrogen production by coupling steam reforming of ethanol and carbon monoxide removal

Cifuentes

Bustamante

Conesa

et al. 2018

International Journal of Hydrogen Energy

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several recent studies have optimized the response of various environmental treatment processes using models based on RSM [19,[24][25][26][27][28][29][30][31][32][33]. For example, Saber et al (2014Saber et al ( , 2017 [26,27] used RSM to optimize Fenton and photo-Fenton processes for treatment of petroleum refinery effluents, Cifuentes et al (2017) [34] used RSM for simulation of the ethanol's catalytic steam reforming, Li et al (2018) [35] used RSM to investigate photocatalytic performance and degradation mechanism of Aspirin by TiO 2 , Inger et al (2019) [36] optimized ammonia oxidation using RSM and Aljuboury et al (2016) [37] optimized TiO 2 /ZnO photodegradation of petroleum refinery wastewaters by using RSM.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Photocatalytic Degradation of Acid Blue 113 and Acid Red 88 Textile Dyes in a UV-C/TiO2 Suspension System: Application of Response Surface Methodology (RSM)

2019

View full text Add to dashboard Cite

Textile industries produce copious amounts of colored wastewater some of which are toxic to humans and aquatic biota. This study investigates optimization of a bench-scale UV-C photocatalytic process using a TiO2 catalyst suspension for degradation of two textile dyes, Acid Blue 113 (AB 113) and Acid Red 88 (AR 88). From preliminary experiments, appropriate ranges for experimental factors including reaction time, solution pH, initial dye concentration and catalyst dose, were determined for each dye. Response surface methodology (RSM) using a cubic IV optimal design was then used to design the experiments and optimize the process. Analysis of variance (ANOVA) was employed to determine significance of experimental factors and their interactions. Results revealed that among the studied factors, solution pH and initial dye concentration had the strongest effects on degradation rates of AB 113 and AR 88, respectively. Least-squares cubic regression models were generated by step-wise elimination of non-significant (p-value > 0.05) terms from the proposed model. Under optimum treatment conditions, removal efficiencies reached 98.7% for AB 113 and 99.6% for AR 88. Kinetic studies showed that a first-order kinetic model could best describe degradation data for both dyes, with degradation rate constants of k1, AB 113 = 0.048 min−1 and k1, AR 88 = 0.059 min−1.

show abstract

“…H 2 could be obtained from biomass by coupling a biological process that involves bioethanol production from a biomass and a catalytic process, which includes bioethanol steam reforming and purification of the H 2 stream. In this process, it is possible to achieve higher H 2 yields than other processes such as direct glucose steam reforming and H 2 production from fermentative pathways, due to the ease of yeasts to transform sugars into ethanol and the use of stable and selective catalysts that can efficiently transform ethanol into H 2 [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, López-González et al [6] assessed the methane (CH 4 ) production from sugar cane press mud, achieving a yield of 337 mL CH 4 per gram of volatile solids. Similarly, Kuruti et al [10] evaluated the bioethanol and volatile fatty acids production throughout an acidogenic pathway by using a microbial consortium.…”

Section: Introductionmentioning

confidence: 99%

Bioethanol Production from Cachaza as Hydrogen Feedstock: Effect of Ammonium Sulfate during Fermentation

et al. 2017

Self Cite

View full text Add to dashboard Cite

Abstract:Cachaza is a type of non-centrifugal sugarcane press-mud that, if it is not employed efficiently, generates water pollution, soil eutrophication, and the spread of possible pathogens. This biomass can be fermented to produce bioethanol. Our intention is to obtain bioethanol that can be catalytically reformed to produce hydrogen (H 2 ) for further use in fuel cells for electricity production. However, some impurities could negatively affect the catalyst performance during the bioethanol reforming process. Hence, the aim of this study was to assess the fermentation of Cachaza using ammonium sulfate ((NH 4 ) 2 SO 4 ) loadings and Saccharomyces cerevisiae strain to produce the highest ethanol concentration with the minimum amount of impurities in anticipation of facilitating further bioethanol purification and reforming for H 2 production. The results showed that ethanol production from Cachaza fermentation was about 50 g·L −1 and the (NH 4 ) 2 SO 4 addition did not affect its production. However, it significantly reduced the production of branched alcohols. When a 160 mg·L −1 (NH 4 ) 2 SO 4 was added to the fermentation culture, 2-methyl-1-propanol was reduced by 41% and 3-methyl-1-butanol was reduced by 6%, probably due to the repression of the catabolic nitrogen mechanism. Conversely, 1-propanol doubled its concentration likely due to the higher threonine synthesis promoted by the reducing sugar presence. Afterwards, we employed the modified Gompertz model to fit the ethanol, 2M1P, 3M1B, and 1-propanol production, which provided acceptable fits (R 2 > 0.881) for the tested compounds during Cachaza fermentation. To the best of our knowledge, there are no reports of the modelling of aliphatic production during fermentation; this model will be employed to calculate yields with further scaling and for life cycle assessment.

show abstract

Response Surface Methodology and Aspen Plus Integration for the Simulation of the Catalytic Steam Reforming of Ethanol

Cited by 26 publications

References 76 publications

Fuel-cell grade hydrogen production by coupling steam reforming of ethanol and carbon monoxide removal

Fuel-cell grade hydrogen production by coupling steam reforming of ethanol and carbon monoxide removal

Optimization of Photocatalytic Degradation of Acid Blue 113 and Acid Red 88 Textile Dyes in a UV-C/TiO2 Suspension System: Application of Response Surface Methodology (RSM)

Bioethanol Production from Cachaza as Hydrogen Feedstock: Effect of Ammonium Sulfate during Fermentation

Contact Info

Product

Resources

About