A pressure drop study for packed bed adsorption thermal energy storage

Baghapour, Behzad; Rouhani, Mina; Sharafian, Amir; Kalhori, Sahand Behboodi; Bahrami, Majid

doi:10.1016/j.applthermaleng.2018.03.098

Cited by 28 publications

(11 citation statements)

References 44 publications

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“…Aaron [42] experimentally confirmed that the effect of a pressure drop was negligible on process performance in the flow regime; namely, the pressure drop concerns were not reasonable for small-scale air separation processes using similar column lengths (9.8-19.6 cm) and particle sizes (0.5 mm). When considering the energy consumption of the process, the pressure drop model is a key concern, since a higher pressure drop leads to a lower energy-storage efficiency [43]. The Darcy model assumes that the pressure drop is proportional to the flow rate, as expressed by Equation (5).…”

Section: Pressure-drop Modelmentioning

confidence: 99%

A Review of Numerical Research on the Pressure Swing Adsorption Process

et al. 2022

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The pressure swing adsorption (PSA) process has been considered a promising method for gas separation and purification. However, experimental methods are time-consuming, and it is difficult to obtain the detailed changes in variables in the PSA process. This review focuses on the numerical research developed to realize the modelling, optimization and control of the cyclic PSA process. A complete one-dimensional mathematical model, including adsorption bed, auxiliary devices, boundary conditions and performance indicators, is summarized as a general modelling approach. Key simplified assumptions and special treatments for energy balance are discussed for model reliability. Numerical optimization models and control strategies are reviewed for the PSA process as well. Relevant attention is given to the combination of deep-learning technology with artificial-intelligence-based optimization algorithms and advanced control strategies. Challenges to further improvements in the adsorbent database establishment, multiscale computational mass transfer model, large-scale PSA facility design, numerical computations and algorithm robustness are identified.

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Section: Pressure-drop Modelmentioning

confidence: 99%

A Review of Numerical Research on the Pressure Swing Adsorption Process

et al. 2022

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“…Another important observation was noticed in the pressure drop measured across the bed during the breakthrough experiment. In separation processes, pressure drop is of great importance, as high pressure drop could lead to increase in power consumption and consequently, decrease in energy efficiency [52]. Owing to the macroporous spatial skeleton present in the Mg-MOF-74@MS composite, a significant decline in pressure drop of around 10 times in comparison to Mg-MOF-74 pellets and around 200 times with respect to the packed bed of Mg-MOF-74 powder was seen (S.I., Section S4).…”

Section: Separation Performance Analysismentioning

confidence: 99%

An ultra-permeable hybrid Mg-MOF-74-Melamine sponge composite for fast dynamic gas separation

Sharma¹,

Sürmeli²,

Assche³

et al. 2022

Microporous and Mesoporous Materials

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“…Practical aspects such as mass transport, thermal conduction, dispersion phenomena at bed scale and volume change are important parameters to be considered [20]. Fixed bed systems generally suffer high pressure drop through the bed, reducing potential GTLS and requiring high parasitic power consumption [50]. In the desorption process, the complete sorbent bed is heated and has to be maintained at a material specific desorption temperature in order to reach the desired charged state [51].…”

Section: Fixed Processmentioning

confidence: 99%

Sorption based long-term thermal energy storage – Process classification and analysis of performance limitations: A review

Fumey

Weber

Baldini

2019

Renewable and Sustainable Energy Reviews

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In sorption heat storage, one of the sources of discrepancy between theoretical material based energy storage potential and resulting system performance is the choice of process type. In this paper, in order to understand this performance deviation, a sorption heat storage process categorisation is proposed. This is followed by a review of reported sorption systems categorised according to the proposed process classification. An analysis of the reported systems is then undertaken focusing on the ratio of resulting temperature gain in sorption (ad-or absorption) compared to required temperature lift in desorption. This measure is termed temperature effectiveness and enables a form of system performance evaluation in the broad landscape of sorption thermal energy storage demonstrators. It is argued that other performance parameters such as volumetric energy storage density and volumetric charge and discharge power density are not adequate for comparison due to the highly varying testing conditions applied. From the system evaluation, it is seen that best temperature effectiveness is generally found in a closed, transported process with the ability of single sorbent pass and true counter flow heat exchange. Highlights • There are four basic sorption thermal energy storage processes, open fixed, open transported, closed fixed and closed transported.• Temperature effectiveness, the ratio of resulting sorption temperature lift to required desorption temperature lift, is a universal means for sorption heat storage system performance comparison.• Closed transported sorption thermal energy storage systems show the best performance in respect to temperature effectiveness.

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A pressure drop study for packed bed adsorption thermal energy storage

Cited by 28 publications

References 44 publications

A Review of Numerical Research on the Pressure Swing Adsorption Process

A Review of Numerical Research on the Pressure Swing Adsorption Process

An ultra-permeable hybrid Mg-MOF-74-Melamine sponge composite for fast dynamic gas separation

Sorption based long-term thermal energy storage – Process classification and analysis of performance limitations: A review

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