Experimental and Simulation Study of Adsorption in Postcombustion Conditions Using a Microporous Biochar. 2. H2O, CO2, and N2 Adsorption

Plaza, M.G.; Durán, Inés; Querejeta, Nausika; Rubiera, F.; Pevida, C.

doi:10.1021/acs.iecr.6b01720

Cited by 34 publications

(43 citation statements)

References 30 publications

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“…The results presented herein are in good agreement with those from a previous work [21] carried out with a biomass based carbon adsorbent evaluated under post-combustion capture conditions (14% CO 2 at ambient temperature). A reduction in the CO 2 adsorption capacity up to 64% was found for a relative humidity in the gas feed of 95%.…”

Section: Non-cyclic Operationsupporting

confidence: 88%

“…Although the adsorption equilibrium and mechanisms of water vapor adsorption on activated carbon have been widely investigated [16][17][18][19], very few studies have used fixed-bed experiments to gain insight into the adsorption dynamics of water vapor on activated carbon [20][21][22].The impact of water vapor on the capacity of biomass-based activated carbons to capture CO 2 has been evaluated: adsorption equilibrium data, measured for CO 2 , N 2 , O 2 and H 2 O, and breakthrough experiments performed under different relative humidity were conducted to explore the mutual influence of CO 2 and H 2 O adsorption.…”

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confidence: 99%

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Separation of CO2 in a Solid Waste Management Incineration Facility Using Activated Carbon Derived from Pine Sawdust

2017

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Abstract:The selective separation of CO 2 from gas mixtures representative of flue gas generated in waste incineration systems is studied on two activated carbons obtained from pine sawdust and compared to a commercial activated carbon. Dynamic adsorption experiments were conducted in a fixed-bed adsorption column using a binary mixture (N 2 /CO 2 ) with a composition representative of incineration streams at temperatures from 30 to 70 • C. The adsorption behavior of humid mixtures (N 2 /CO 2 /H 2 O) was also evaluated in order to assess the influence of water vapor in CO 2 adsorption at different relative humidity in the feed gas: 22% and 60%. Moreover, CO 2 adsorption was studied in less favorable conditions, i.e., departing from a bed initially saturated with H 2 O. In addition, the effect of CO 2 on H 2 O adsorption was examined. Experimental results showed that the CO 2 adsorption capacity can be reduced significantly by the adsorption of H 2 O (up to 60% at high relative humidity conditions). On the other hand, the breakthrough tests over the adsorbent initially saturated with water vapor indicated that H 2 O is little affected by CO 2 adsorption. The experimental results pointed out the biomass based carbons as best candidates for CO 2 separation under incineration flue gas conditions.

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Section: Non-cyclic Operationsupporting

confidence: 88%

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confidence: 99%

Separation of CO2 in a Solid Waste Management Incineration Facility Using Activated Carbon Derived from Pine Sawdust

2017

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“…The adsorbent used to run the process simulations in the present study is a microporous carbon obtained by direct oxidation of an abundant residue from the food industry: olive stones [20]. This adsorbent presents the characteristic moderate adsorption capacity towards CO 2 of carbon adsorbents [21], but also relatively low adsorption capacity and affinity towards H 2 O [22] that makes it an interesting candidate for adsorption-based post-combustion CO 2 capture processes [23].…”

Section: Adsorbentmentioning

confidence: 99%

Evaluation of a novel multibed heat-integrated vacuum and temperature swing adsorption post-combustion CO2 capture process

Plaza

Rubiera

2019

Applied Energy

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A novel multibed heat-integrated vacuum and temperature swing adsorption process has been designed to capture 85% of the CO 2 emitted by an advanced supercritical coal fired power plant of 820 MW e taken as reference, and to produce a concentrated product with 95% of CO 2 using a microporous carbon obtained from olive stones. The overall performance of the postcombustion CO 2 capture process has been evaluated from the results of the dynamic simulation of the process at cyclic steady state, using a detailed non-isothermal nonequilibrium dynamic fixed-bed adsorption model that takes into consideration competitive adsorption between the main flue gas components: N 2 , CO 2 and H 2 O. The proposed process operates between 30 °C and 1.05 bar and 80 °C and 0.05 bar. The specific heat duty of the process, 2.41 MJ th kg -1 CO 2 , which is lower than the benchmark amine absorption technology, can be satisfied using waste heat. On the other hand, its electricity consumption, 1.15 MJ e kg -1 CO 2 , is higher. Increasing the pressure of the production step reduces significantly the energy demand of the process, but also its capture rate. Substantial improvements in performance can be expected from adsorbent development. Adsorption is an environmentally benign technology with great potential to mitigate CO 2 emissions from industrial processes with unused waste heat sources.

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“…These equations together with the appropriate initial and boundary conditions, are solved simultaneously through numerical methods, to fully describe the dynamic behavior of an adsorption column. Aspen Adsorption® has typically been used to simulate gas phase adsorption processes, such as CO 2 and CO adsorption, H 2 and He purification [21,22]. As for the aqueous systems, the adsorption of Cd + 2 , Cu + 2 , phenol and melanoidin has been simulated [23,24], however, as of yet there are no previous studies of the simulation of pharmaceutical products using Aspen Adsorption®.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the adsorption capacity of acetaminophen on sugarcane bagasse and corn cob by dynamic simulation

Juela

2020

Sustain Environ Res

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Acetaminophen (ACT), an antipyretic analgesic, is one of the emerging pollutants that has been found in high concentrations in domestic and hospital wastewaters. This study 7the adsorption capacity of sugarcane bagasse (SB) and corn cob (CC) for the ACT removal through the dynamic simulation of the adsorption column using Aspen Adsorption® V10. The effects of flow rate (1.5–3.0 mL min− 1), ACT initial concentration (40–80 mg L− 1), and bed height (20–35 cm) on the breakthrough curves were studied. Finally, the simulation results were validated with experimental studies, and analyzed by error functions, sum of squared errors (SSE), absolute average deviation (AAD), and coefficient of determination (R2). Based on the predicted breakthrough curves, ACT is adsorbed in greater quantity on CC, with saturation times and adsorption capacity greater than SB in all simulations. The maximum adsorption capacity was 0.47 and 0.32 mg g− 1 for CC and SB, respectively, under condition of flow rate of 1.5 mL min− 1, bed height of 25 cm, and ACT initial concentration of 80 mg L− 1. Breakthrough and saturation times were higher when the column operated at low flow rates, large bed height, and low ACT concentrations, for both adsorbents. The predicted and experimental breakthrough curves satisfactorily coincided with R2 values greater than 0.97, SSE and AAD values less than 5% and 0.2, respectively, for all studies. The experimental adsorption capacity was greater for CC than for SB, thus confirming that the software is able to predict which adsorbent may be more effective for ACT removal. The results of this study would speed up the search for effective materials to remove ACT from wastewaters.

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Experimental and Simulation Study of Adsorption in Postcombustion Conditions Using a Microporous Biochar. 2. H₂O, CO₂, and N₂ Adsorption

Cited by 34 publications

References 30 publications

Separation of CO2 in a Solid Waste Management Incineration Facility Using Activated Carbon Derived from Pine Sawdust

Separation of CO2 in a Solid Waste Management Incineration Facility Using Activated Carbon Derived from Pine Sawdust

Evaluation of a novel multibed heat-integrated vacuum and temperature swing adsorption post-combustion CO2 capture process

Comparison of the adsorption capacity of acetaminophen on sugarcane bagasse and corn cob by dynamic simulation

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