Three integrated process simulation using aspen plus®: Pine gasification, syngas cleaning and methanol synthesis

Puig-Gamero, M.; Argudo-Santamaria, J.; Valverde, J.L.; Sánchez, Paula; Sánchez-Silva, L.

doi:10.1016/j.enconman.2018.09.088

Cited by 157 publications

(69 citation statements)

References 19 publications

(41 reference statements)

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“…The decrease of CO 2 production depends on reaction R7 (water-gas shift) that is exothermic, being favored at low temperatures, and for this reason, the higher temperature means higher CO and lower CO 2 production. Similar trends were observed by [5,44].…”

Section: Effect Of Gasification Temperature On Syngas Compositionsupporting

confidence: 86%

Development of a Chemical Quasi-Equilibrium Model of Biomass Waste Gasification in a Fluidized-Bed Reactor by Using Aspen Plus

2019

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In the delicate context of climate change, biomass gasification has been demonstrated to be a very useful technology to produce power and hydrogen. Nevertheless, in literature, there is a lack of a flexible and fast but accurate model of biomass gasification that can be used with all the combinations of oxidizing agents, taking into account both organic and inorganic contaminants, and able to give results that are more realistic. In order to do that, a model of biomass gasification has been developed using the chemical engineering software Aspen Plus. The developed model is based on the Gibbs free energy minimization applying the restricted quasi-equilibrium approach via Data-Fit regression from experimental data. The simulation results obtained, considering different mixes of gasifying agents, were compared and validated against experimental data reported in literature for the most advanced fluidized bed technology. The maximum discrepancy value obtained for hydrogen, with respect to experimental data, is of 8%, and all the other values reached by the developed simulations, considering both organic and inorganic compounds, are in good agreement with literature data. The gas yield reached by the developed simulation is in the range of 1.1-1.3 Nm 3 /kg. Author Contributions: Conceptualization, E.B.; methodology, V.M., E.B.; software, V.M.; validation, V.M., E.B.; resources, E.B.; data curation, V.M.; writing-original draft preparation, V.M.; writing-review and editing, V.M., E.B. and D.M.; supervision, E.B. and D.M.; project administration, E.B.; funding acquisition, E.B. All authors have read and agreed to the published version of the manuscript.

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Section: Effect Of Gasification Temperature On Syngas Compositionsupporting

confidence: 86%

Development of a Chemical Quasi-Equilibrium Model of Biomass Waste Gasification in a Fluidized-Bed Reactor by Using Aspen Plus

2019

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“…Tar formation , , , , was included in several studies though it was either considered as an inert compound or the comparison of the tar yields was not incorporated in the validation studies. For instance, tar formation in the pyrolysis stage was included in an Aspen Plus model for a two‐stage biomass pyrolysis and gasification using three different microalgae as feedstocks.…”

Section: Modeling Biomass Gasification In Aspen Plus: Equilibrium Andmentioning

confidence: 99%

“…Puig‐Gamero et al also developed an integrated process simulation including pine gasification, syngas cleaning, and methanol synthesis by including tar formation using C 6 H 6 as model compound. The simulation results were validated with the experimental data from a double‐chamber gasifier pilot plant in terms of syngas composition .…”

Section: Modeling Biomass Gasification In Aspen Plus: Equilibrium Andmentioning

confidence: 99%

“…Tar is either not considered to simplify the model, especially in studies based on equilibrium approach (see Tab. ) or is represented by certain model compounds (i.e., C 6 H 6 , C 6 H 5 OH, C 10 H 8 ) or as a mixture of these compounds , , , , . However, different assumptions and tar representations in models not only make comparison of each study more difficult but also withdrawing a certain conclusion on whether the inclusion and/or exclusion of tar formation is better.…”

Section: Opportunities and Challenges In Modeling With Aspen Plusmentioning

confidence: 99%

“…Even though each study handles the modeling process from a different technological perspective, the main goal is the development of a realistic process model with high efficiency and product quality. The number of studies dealing with biomass gasification has significantly increased, especially within the last decade , and there are many review studies based on a variety of aspects . However, as compiled in Tab.…”

Section: Introductionmentioning

confidence: 99%

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Challenges and Opportunities of Modeling Biomass Gasification in Aspen Plus: A Review

Mutlu

Zeng

2020

Chem Eng & Technol

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Aspen Plus has become one of the most common process simulation tools for both academia and industrial applications. In the last decade, the number of the papers on Aspen Plus modeling of biomass gasification has significantly increased. This review focuses on recent developments and studies on modeling biomass gasification in Aspen Plus including key aspects such as tar formation and model validation. Accordingly, challenges in modeling due to specific assumptions and limitations will be highlighted to provide a useful basis for researchers and end‐users for further process modeling of biomass gasification in Aspen Plus.

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Catalytic effect of alkali and alkaline earth metals on fast pyrolysis pre‐treatment of agricultural waste

Alcazar-Ruiz¹,

Sánchez-Silva²,

Dorado³

2021

Biofuels Bioprod Bioref

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The catalytic effect of mineral components (K, Ca, Mg and Na), after pre‐treatment by water leaching and adding NaCl, was evaluated in fast pyrolysis with the biomass of four types of agricultural waste (olive pomace, nutshell, almond shell, and pistachio shell). Water leaching proved to be effective at reducing mineral content in the raw materials, especially in terms of removing K. As a consequence, there was lower decarboxylation activity during fast pyrolysis, and a lower yield of phenolic compounds was obtained. The effect of adding NaCl was evaluated by varying its ratio in the blend (1, 3 and 5 wt%) and it promoted cracking and dehydration reactions, favoring the formation of light molecular‐weight compounds as carboxylic acids. © 2021 The Authors. Biofuels, Bioproducts and Biorefining published by Society of Industrial Chemistry and John Wiley & Sons Ltd.

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Three integrated process simulation using aspen plus®: Pine gasification, syngas cleaning and methanol synthesis

Cited by 157 publications

References 19 publications

Development of a Chemical Quasi-Equilibrium Model of Biomass Waste Gasification in a Fluidized-Bed Reactor by Using Aspen Plus

Development of a Chemical Quasi-Equilibrium Model of Biomass Waste Gasification in a Fluidized-Bed Reactor by Using Aspen Plus

Challenges and Opportunities of Modeling Biomass Gasification in Aspen Plus: A Review

Catalytic effect of alkali and alkaline earth metals on fast pyrolysis pre‐treatment of agricultural waste

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