Fast solution-adaptive finite volume method for PSA/VSA cycle simulation; 1 single step simulation

Webley, Paul A.; He, Jianming

doi:10.1016/s0098-1354(99)00320-8

Cited by 78 publications

(66 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are different degrees of complexity to define a PSA model, 6 ISRN Chemical Engineering normally comprising several partial differential equations linked by the equation of state and the isotherm model to define the thermodynamic properties of the gas and adsorbed phases, respectively. Although the model can be solved by numerical methods [55,113,[178][179][180][181][182][183], there are several commercial programs that can be already used for that purpose: ASPEN, COMSOL, gPROMS, PROSIM, and so forth [18,[184][185][186][187].…”

Section: Advances In Process Engineeringmentioning

confidence: 99%

Advances in Pressure Swing Adsorption for Gas Separation

Grande

2012

ISRN Chemical Engineering

169

107

View full text Add to dashboard Cite

Pressure swing adsorption (PSA) is a well-established gas separation technique in air separation, gas drying, and hydrogen purification separation. Recently, PSA technology has been applied in other areas like methane purification from natural and biogas and has a tremendous potential to expand its utilization. It is known that the adsorbent material employed in a PSA process is extremely important in defining its properties, but it has also been demonstrated that process engineering can improve the performance of PSA units significantly. This paper aims to provide an overview of the fundamentals of PSA process while focusing specifically on different innovative engineering approaches that contributed to continuous improvement of PSA performance.

show abstract

Section: Advances In Process Engineeringmentioning

confidence: 99%

Advances in Pressure Swing Adsorption for Gas Separation

Grande

2012

ISRN Chemical Engineering

169

107

View full text Add to dashboard Cite

show abstract

“…For this reason there is a need for a reliable, validated numerical model to evaluate and estimate the performance of various PSA cycle designs, adsorbent materials, and process conditions of temperature and pressure on plant performance, as measured by parameters such as product purity, recovery and power consumption. Our numerical model (MINSA) was built on the basis of mass and energy balances using a variety of adsorption isotherm models, kinetic models and heat transfer models as described earlier He 2000 andTodd et al 2003). The kinetic model contains a discrete pellet version implementing the Dusty Gas Model to describe mass transfer within porous materials.…”

Section: Introductionmentioning

confidence: 99%

Capture of CO2 from flue gas streams with zeolite 13X by vacuum-pressure swing adsorption

et al. 2008

View full text Add to dashboard Cite

Vacuum swing adsorption (VSA) capture of CO 2 from flue gas streams is a promising technology for greenhouse gas mitigation. In this study we use a detailed, validated numerical model of the CO2VSA process to study the effect of a range of operating and design parameters on the system performance. The adsorbent used is 13X and a feed stream of 12% CO 2 and dry air is used to mimic flue gas. Feed pressures of 1.2 bar are used to minimize flue gas compression. A 9-step cycle with two equalisations and a 12-step cycle including product purge were both used to understand the impact of several cycle changes on performance. The ultimate vacuum level used is one of the most important parameters in dictating CO 2 purity, recovery and power consumption. For vacuum levels of 4 kPa and lower, CO 2 purities of >90% are achievable with a recovery of greater than 70%. Both purity and recovery drop quickly as the vacuum level is raised to 10 kPa. Total power consumption decreases as the vacuum pressure is raised, as expected, but the recovery decreases even quicker leading to a net increase in the specific power. The specific power appears to minimize at a vacuum pressure of approximately 4 kPa for the operating conditions used in our study. In addition to the ultimate vacuum level, vacuum time and feed time are found to impact the results for differing reasons. Longer evacuation times (to the same pressure level) imply lower flow rates and less pressure drop providing improved performance. Longer feed times led to partial breakthrough of the CO 2 front and reduced recovery but improved purity. The starting pressure of evacuation (which is not necessarily equal to the feed pressure) was also found to be important since the gas phase was enriched in CO 2 prior to removal by vacuum leading to improved CO 2 purity. A 12-step cycle including product purge was able to produce high purity CO 2 (>95%) with minimal impact on recovery. Finally, it was found that for 13X, the optimal feed temperature was around 67°C to maximize system purity. This is a consequence of the temperature dependence of the working selectivity and working capacity of 13X. In summary, our numerical model indicates that there is considerable scope for improvement and use of the VSA process for CO 2 capture from flue gas streams.

show abstract

“…The adsorption process simulator that has been developed and verified in our research group uses conservation of mass and energy for the interpellet gas phase with discretised pellet models (DPMs) to represent the intrapellet region (Webley and He, 2000;Todd et al, 2003).…”

Section: Simulation and Intrapellet Flux Equationsmentioning

confidence: 99%