Reduction of lumped reaction networks based on global sensitivity analysis

Till, Zoltán; Varga, Tamás; Sója, János; Miskolczi, Norbert; Chován, Tibor

doi:10.1016/j.cej.2019.121920

Cited by 15 publications

(5 citation statements)

References 38 publications

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“…The kinetic modeling of the hydrocracking of heavy refinery streams has evolved using results commonly obtained with slurry-phase catalysts and using batch reactors [20]. The kinetic models proposed in the literature for these feeds are usually lump-based models [21][22][23][24][25][26], the handling of which for reactor design purposes is by far simpler than those models that consider the reactions of the individual components [27,28]. The lumps are generally established according to the boiling temperature of the components, in order to quantify the yield of gases (dry gas and liquefied petroleum gases), of the liquid products (heavy cycle oil, light cycle oil and naphtha) and of coke (carbonaceous material deposited on the catalyst).…”

Section: Introductionmentioning

confidence: 99%

A six-lump kinetic model for HDPE/VGO blend hydrocracking

Vela

Palos

Trueba

et al. 2023

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Section: Introductionmentioning

confidence: 99%

A six-lump kinetic model for HDPE/VGO blend hydrocracking

Vela

Palos

Trueba

et al. 2023

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“…269 Lump models have been used for modeling hydroprocessing processes, as hydroconversion of crude oil compounds, 270,271 and lignin HDO. 272 Till et al 273 reported the uncertainty of models in processes with a lot of compounds and reactions, which were significantly decreased with lump models. Therefore, the two main disadvantages of most available models could be solved with these models.…”

Section: Activated Carbons As Supportmentioning

confidence: 99%

Advances and Challenges in the Valorization of Bio-Oil: Hydrodeoxygenation Using Carbon-Supported Catalysts

et al. 2021

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Biomass valorization to produce fuels and platform chemicals is one of the most relevant strategies to change the energetic scenario and the currently unsustainable petrochemical industry. Pyrolysis offers the possibility of integrating biomassderived oils (bio-oil) into this well-established industry, and the adaptation of already in-use technology, as hydrotreatment units, eases this transition. This new concept of biorefinery could also be improved from an environmental point of view by using carbonbased catalysts produced from biomass waste. In this work, we have reviewed hydrodeoxygenation (HDO) of bio-oil as a key process for the development of these biorefineries. The most relevant results on HDO mechanisms and catalysts are highlighted, with the main focus on activated carbon-supported catalysts. Special attention has been paid to those variables and requirements for a potential industrial implementation, such as the use of raw bio-oil, continuous reactors, and available kinetic models in the literature for reactor design. In addition, a final critical revision has been made with the perspectives, main gaps, and challenges for the integration of bio-oil HDO in a biorefinery.

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“…Based on these experiments a lumped kinetic model was developed and published in [10], and the uncertainty of the model was diminished by reducing the size of the reaction network in [11]. The starting point for a traditional lumping model is in macroscopic level (e.g.…”

Section: Introductionmentioning

confidence: 99%

Semi-supervised Clustering Algorithm for Retention Time Alignment of Gas Chromatographic Data

Hamadi

Varga

2022

Period. Polytech. Chem. Eng.

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Gas chromatography (GC) is an effective tool for the analysis of complex mixtures with a huge number of components. To keep tracking the chemical changes during the processes like plastic waste pyrolysis usually different sample states are profiled, but retention time drifts between the chromatograms make the comparability difficult. The aim of this study is to develop a fast and simple method to eliminate the time drifts between the chromatograms using easily accessible priori information. The proposed method is tested on GC chromatograms obtained by analysis of pyrolysis product (Mg/Y catalyst) of shredded real waste HDPE/PP/LDPE mixture. A modified k-means algorithm was developed to account the retention time drifts between samples (different sample states). The outcome of the retention time alignment is an averaged retention time for each peak from all the chromatograms which makes the comparison and further analysis (such as "fingerprinting") easier or possible.

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Reduction of lumped reaction networks based on global sensitivity analysis

Cited by 15 publications

References 38 publications

A six-lump kinetic model for HDPE/VGO blend hydrocracking

A six-lump kinetic model for HDPE/VGO blend hydrocracking

Advances and Challenges in the Valorization of Bio-Oil: Hydrodeoxygenation Using Carbon-Supported Catalysts

Semi-supervised Clustering Algorithm for Retention Time Alignment of Gas Chromatographic Data

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