Pore-expanded MCM-41 for CO2 adsorption: Experimental and isotherm modeling studies

Loganathan, Sravanthi; Tikmani, Mayur; Ghoshal, Aloke Kumar

doi:10.1016/j.cej.2015.05.103

Cited by 26 publications

(9 citation statements)

References 59 publications

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Section: Resultsmentioning

confidence: 99%

“…The estimated PCI properties and reaction enthalpies are given in Table 1. The PCI and thermodynamic properties of activated carbon and pore expanded mesoporous silica are taken from References 15,28. Before employing the numerical model for performance prediction of any system, it is very important to validate the numerical code. The numerical code established for the present work is validated with the experimentally measured PCIs of metal hydrides as shown in Figure 4.…”

Section: Experimental Measurements and Validationmentioning

confidence: 99%

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Performance comparison betweenH₂‐metal hydrides andCO₂‐adsorbents‐based sorption refrigeration systems

Syed

Sharma

2020

Int J Energy Res

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In the present study, the performance of H 2-metal hydrides-based (HSRS) and CO 2-adsorbent-based refrigeration systems (CSRS) are investigated and compared. The pair of metal hydrides (MH) used for HSRS is La 0.9 Ce 0.1 Ni 5-LaNi 4.7 Al 0.3 whereas, for CSRS, it is Activated Carbon-Pore Expanded Mesoporous Silica (PEMS) adsorbents. The above pairs are chosen due to their suitability toward the sorption refrigeration system, which results from the screening of different pairs. The performances of these systems are investigated through the thermodynamic simulation as well as computational fluid dynamics (CFD) approach. The thermodynamic cycles of both the systems are analyzed for the operating temperatures of 0 C (T r ; refrigeration), 25 C (T a ; heat sink), and 100 C (T s ; heat source). Upon thermodynamic simulation, the refrigeration output, coefficient of performance (COP), specific refrigeration power, and second law efficiency are observed as 87.04 kJ, 0.91, 24.17 W/kg, and 41.6% for HSRS whereas, it is 49.32 kJ, 0.72, 20.55 W/kg, and 33.1% for CSRS, respectively, using 0.5 kg of each alloy. The CFD simulation results in the behavior of absorbent/adsorbent beds concerning temperature and gas mass variations. The minimum bed temperature is observed to be −31 C in HSRS, which is lower than that of CSRS (i.e.,-9 C). The overall cycle time is predicted to be 3600 seconds for HSRS and 2400 seconds for CSRS. The shorter cycle time in CSRS is due to the high-pressure differential between coupled beds during reactions and higher reaction rates of adsorbent materials than metal hydrides. Though CSRS possessed shorter cycle time, HSRS is found to be more suitable for refrigeration application due to better thermodynamic performance, in the given operating temperature range. Besides, the influence of variations in operating temperatures on the system performance is investigated and obtained the optimum temperature range of T r = 5 C, T a = 20 C, and T s = 95 C. Finally, the thermodynamic performances of HSRS, CSRS, and CO 2-based vapor adsorption refrigeration system (CO 2 VARS) are compared and observed that HSRS possessed better refrigeration performance among three.

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Section: Resultsmentioning

confidence: 99%

Section: Experimental Measurements and Validationmentioning

confidence: 99%

Performance comparison betweenH₂‐metal hydrides andCO₂‐adsorbents‐based sorption refrigeration systems

Syed

Sharma

2020

Int J Energy Res

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“…según Loganathan, et al (2015)[10] el modelo de sips describe fuertemente la heterogeneidad de la superficie de adsorción (es el caso de la matriz de la roca shale) y su ecuación es: Donde a cuantifica la heterogeneidad de la superficie de adsorción, V L representa la capacidad máxima de adsorción, b es la afinidad de adsorción,V ads es la cantidad de sustancia adsorbida y P la presión.…”

Section: Modelo De Sipsunclassified

Aplicación De Modelos Para La Generación De La Isoterma De Adsorción De Metano en Una Muestra De Shale Y Su Impacto en El Cálculo De Reservas

Murillo

Gomez

Cancino

et al. 2015

revfue

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*a quien debe dirigirse la correspondencia RESUMEN el comportamiento de diferentes modelos de isotermas de adsorción aplicados a los datos experimentales obtenidos por Gasparik et al. (2012) en una prueba de adsorción de metano, fue modelado y analizado, con el fi n de determinar el que mejor representa los datos experimentales. entre los modelos utilizados se encuentran algunos de dos parámetros como Langmuir, temkin y freundlich, otros de tres parámetros como Langmuir, DubininRadushkevich, Toth y Sips; de cuatro parámetros como Dubinin-Astakhov y Fritz-Schlunder y fi nalmente el modelo de cinco parámetros propuesto por fritz-schlunder. según los resultados obtenidos, los modelos presentaron mejor ajuste a medida que empleaban mayor número de parámetros en sus ecuaciones.Posteriormente se calculó la capacidad de almacenamiento total de gas para una formación hipotética con algunos datos de la formación Posidonea empleando el método propuesto por Ambrose et al (2010), el cual se modifi có reemplazando el término que tiene en cuenta el gas adsorbido con los modelos mencionados anteriormente, a fi n de determinar su infl uencia en las estimaciones de volumen de gas libre y de gas adsorbido. Con los modelos que presentaron un menor porcentaje de error, se obtuvieron datos más conservadores en el cálculo del gas adsorbido y de gas total, lo cual indica la importancia de la adecuada selección del modelo para el cálculo de reservas, dado que conlleva alto impacto técnico y económico.Palabras clave: shale, gas, yacimiento, isotermas, adsorción. Application of adsorption isotherm models of methane on a shale sample and their impact on reserves estimation ABSTRACTSeveral adsorption isotherm models were analyzed for the purpose of fi tting the experimental data published by Gasparik et al. (2012) obtained in a methane adsorption experiment on a shale sample from the Posidonea formation in the netherlands. the following are the ten models used in this study; some of them consist of two parameters such as Langmuir, temkin and freundlich, the three parameter models: Langmuir, DubininRadushkevich, Toth and Sips, four parameters: Dubinin-Astakhov and Fritz-Schlunder and the fi ve-parameter Fritz Schlunder correlation. The results show a better fi t to the experimental data for those models with the highest number of parameters.

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“…It allows exploitation of internal space, which is not possible with zeolite, MSM-41, SBA-15 and KIT-6 [21,22]. On the other hand, Loganathan et al [27] have investigated the CO 2 adsorption and desorption isotherms on PE-MSM-41 at different temperatures and at the pressure range of 0-25 bar and it was observed that the adsorption and desorption are reversible in nature as the isotherms coincide with each other.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic simulation of CO2: Adsorbent based sorption refrigeration system

Naveed¹,

Kumar²

2020

FME Transactions

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Different materials like activated carbon, metal organic frameworks, silica, etc. have ability to adsorb (exothermic process) and desorb (endothermic process) CO 2 . These heat interactions during adsorption and desorption processes can be utilized for the development of gasadsorbent based sorption refrigeration system. Therefore, in the present work, this concept is employed to analyze the thermodynamic performance of CO 2 -adsorbent based sorption refrigeration system (CO 2 -A SRS). The chosen adsorbents for thermodynamic simulation are Activated Carbon (Norit RB3), Pore Expanded Mesoporous Silica Materials (PE MSM 41), Amine Tethered Mesoporous Silica Materials (AT MSM 41) and Amine Functionalized Silica (AF Silica). The working pairs are developed based on the available pressure difference between coupled adsorbent to allow sufficient amount of CO 2 to flow between the coupled materials in the operating temperature range of 0°C (refrigeration output), 25°C (ambient) and 100°C (heat source). The thermodynamic performance of refrigeration system is compared for two adsorbent pairs. The thermodynamic performance includes refrigeration effect, specific refrigeration power, coefficient of performance, refrigeration capacity and second law of efficiency. The refrigeration effect of Activated Carbon -PE MSM 41 pair is observed double that of AT MCM 41 -AF Silica pair. In addition, the thermodynamic performance of CO 2 -A SRS is compared with the performance of CO 2 -adsorbent based vapour adsorption refrigeration system (CO 2 -A VARS) available in literature. The COP of CO 2 -A SRS is observed higher than CO 2 -A VARS.

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Pore-expanded MCM-41 for CO2 adsorption: Experimental and isotherm modeling studies

Cited by 26 publications

References 59 publications

Performance comparison betweenH₂‐metal hydrides andCO₂‐adsorbents‐based sorption refrigeration systems

Performance comparison betweenH₂‐metal hydrides andCO₂‐adsorbents‐based sorption refrigeration systems

Aplicación De Modelos Para La Generación De La Isoterma De Adsorción De Metano en Una Muestra De Shale Y Su Impacto en El Cálculo De Reservas

Thermodynamic simulation of CO2: Adsorbent based sorption refrigeration system

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Pore-expanded MCM-41 for CO2 adsorption: Experimental and isotherm modeling studies

Cited by 26 publications

References 59 publications

Performance comparison betweenH2‐metal hydrides andCO2‐adsorbents‐based sorption refrigeration systems

Performance comparison betweenH2‐metal hydrides andCO2‐adsorbents‐based sorption refrigeration systems

Aplicación De Modelos Para La Generación De La Isoterma De Adsorción De Metano en Una Muestra De Shale Y Su Impacto en El Cálculo De Reservas

Thermodynamic simulation of CO2: Adsorbent based sorption refrigeration system

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Product

Resources

About

Performance comparison betweenH₂‐metal hydrides andCO₂‐adsorbents‐based sorption refrigeration systems

Performance comparison betweenH₂‐metal hydrides andCO₂‐adsorbents‐based sorption refrigeration systems