Liquid-hot-water pretreatment of palm-oil residues for ethanol production: An economic approach to the selection of the processing conditions

Cardona, Eliana M.; Llano, Biviana; Peñuela, Mariana; Peña, Juan; Ríos, Luis Alberto

doi:10.1016/j.energy.2018.07.045

Cited by 36 publications

(6 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lignocellulosic sources are the most promising feedstocks, have the highest potential and constitute an important part of most future emissions scenarios consistent with stringent climate change mitigation targets (Romaní et al, 2019;Tan et al, 2016;Zabed et al, 2017;Zhang et al, 2016;Devarapalli et al, 2017). Lignocellulosic feedstocks include woody (softwood and hardwood) and herbaceous (perennial grasses) energy crops, agricultural residues (cereal straw, stubble and bagasse), forest residues (sawdust, pruning and bark residues) and organic portions of municipal solid waste (Abdou et al, 2020;Cardona et al, 2018;Gil et al, 2014). Bioethanol production from lignocellulosic biomass materials typically has lower life-cycle greenhouse gas (GHG) emissions and lower risks to compete with food security than bioethanol production from food crops (Li et al, 2016;García-Velásquez et al, 2019).…”

Section: Source Of Consultation: Prepared By the Work Teammentioning

confidence: 99%

“…Despite efforts to reduce the cost of production by using various non-edible materials, the cost of processing the feedstock is still very high, making bioethanol uncompetitive with conventional gasoline (Romaní et al, 2019;Zhou et al, 2018). Life cycle assessment and technoeconomic analyses are generally performed to evaluate the economic feasibility and environmental impact of bioethanol production processes (Cardona et al, 2018;Ardila et al, 2014;Hoang et al, 2020).…”

Section: Source Of Consultation: Prepared By the Work Teammentioning

confidence: 99%

See 1 more Smart Citation

Handbook Science of Technology and Innovation

Aida¹

2022

View full text Add to dashboard Cite

Divide this project into two phases: the first is to determine the performance of the algorithm for a small sample of images and video analysis, and the second is to extend the data corpus for automatic analysis of new samples. It is worth mentioning that this work focuses on the development of the first phase, which is based on the development and training of the algorithm based on Convolutional Neural Networks using MobileNet for the correct identification and classification of the cob.

show abstract

Section: Source Of Consultation: Prepared By the Work Teammentioning

confidence: 99%

Section: Source Of Consultation: Prepared By the Work Teammentioning

confidence: 99%

Handbook Science of Technology and Innovation

Aida¹

2022

View full text Add to dashboard Cite

show abstract

“…Nevertheless, due to the inherent complex polymer structure of lignocellulose, highly-ordered hydrogen bonds, and the indigestibility of lignin restrict the utilization of cellulose (Hongdan et al, 2013). Therefore, an effective pretreatment is necessary to remove the natural barrier for components separation and comprehensive utilization (Cardona et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

One-Step Acid Bleachable Pretreatment with a Recyclable Acid Hydrotrope and Chlorate for Biomass Valorization

Zhang

2022

Bioenerg. Res.

View full text Add to dashboard Cite

Pretreatment is a necessary step to converting lignocellulosic biomass from its native form into a more accessible form for the value-added utilization of its main components. Herein, we developed a one-step acid bleachable pretreatment method using a recyclable acid hydrotrope (p-toluenesulfonic acid, p-TsOH) and chlorate to achieve the bers bleaching and lignin extraction simultaneously. Under a mild condition (C80T80t45), 84.33% of hemicellulose and 76.79% of lignin were dissolved out. The obtained dispersed bers with a high whiteness of 60.13% ISO can be used for papermaking or ethanol production. The results from quasi-simultaneous enzymatic sacchari cation and combined fermentation (Q-SSF) of the pretreated substrate indicated that the ethanol concentration and yield reached to 39.30 ± 0.57 g/L and 82.36 ± 1.15%, respectively. What's more, according to the results of lignin characterization, the aromatic rings in extracted lignin were opened forming dicarboxylic acids as well as derivatives due to the oxidation of chlorate, which is bene cial for its catalytic upgrading and composites preparation.Therefore, this study is important to valorization of lignocellulosic biomass.

show abstract

“…Chemical compounds of renewable origin are coming to the forefront with the purpose of reducing pressure on oil reserves and above all, due to the lower environmental impacts caused compared to their fossil counterparts (Alio et al, 2019;Cardona et al, 2018;Kim et al, 2017). This trend is occurring as a result of several factors influencing human life and the economy worldwide: climate change, unstable oil prices, the search for alternative chemical sources, and the vision of ensuring security of energy supply due to ever-increasing global demand.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of ethanol production process using Aspen Plus

Raymundo¹,

Agustina²,

Araceli³

2022

Handbook Science of Technology and Innovation

View full text Add to dashboard Cite

In this work, a sustainable process for the production of ethanol from the monosaccharide glucose was simulated. The thermodynamic model used for the process was NRTL-RK (based on activity coefficients) due to the polar nature and non-ideal behavior of the species involved. The process was carried out in three steps. First, glucose in aqueous solution was subjected to a fermentation process using a stoichiometric reactor. The second stage consisted of carbon dioxide degassing using two flash tank systems. In the third stage, a RadFrac distillation column was used to facilitate the separation of ethanol and water. According to the results obtained, the molar flow rate of the distilled product stream was 5.04 kmol/h with a composition of 82.15% mol of ethanol, 15.37% mol of water and 2.47% mol of carbon dioxide, while the bottom stream whose molar flow rate was 143.39 kmol/h had a composition of 99.99% mol of water with traces of ethanol and carbon dioxide. The results obtained demonstrate that ethanol production from glucose is possible.

show abstract

Liquid-hot-water pretreatment of palm-oil residues for ethanol production: An economic approach to the selection of the processing conditions

Cited by 36 publications

References 41 publications

Handbook Science of Technology and Innovation

Handbook Science of Technology and Innovation

One-Step Acid Bleachable Pretreatment with a Recyclable Acid Hydrotrope and Chlorate for Biomass Valorization

Sensitivity analysis of ethanol production process using Aspen Plus

Contact Info

Product

Resources

About