Abstract
Hydrogen purification is an important part of hydrogen energy utilization. This study aimed to perform hydrogen purification of multi-component gas (H2/CO2/CH4/CO/N2 = 0.79/0.17/0.021/0.012/0.007) by one-column vacuum pressure swing adsorption (VPSA) and pressure swing adsorption (PSA). AC5-KS was selected as the adsorbent for hydrogen purification due to its greater adsorption capacity compared to R2030. Furthermore, VPSA and PSA 10-step cycle models were established to simulate the hydrogen purification process using the Aspen Adsorption platform. The simulation results showed that the hydrogen purification performance of VPSA is better than that of PSA on AC5-KS adsorbent. The effects of feeding time and purging time on hydrogen purity and recovery were also discussed. Results showed that feeding time has a negative effect on hydrogen purity and a positive effect on hydrogen recovery, while purging time has a positive effect on hydrogen purity and a negative effect on hydrogen recovery. By using an artificial neural network (ANN), the relationship between the inputs (feeding time and purging time) and outputs (hydrogen purity and recovery) was established. Based on the ANN, the interior point method was applied to optimize hydrogen purification performance. Considering two optimization cases, the optimized feeding time and purging time were obtained. The optimization results showed that the maximum hydrogen recovery reached 88.65% when the feeding time was 223 s and the purging time was 96 s. The maximum hydrogen purity reached 99.33% when the feeding time was 100 s and the purging time was 45 s.
Highlights
Hydrogen is the secondary energy source with the most potential [1]
The optimal hydrogen recovery reached 88.65% when feeding time was set to 223 s and purging time was set to 96 s
The vacuum pressure swing adsorption (VPSA) cycle using AC5-KS adsorbent was optimized by the interior point method and artificial neural network (ANN) model
Summary
Hydrogen is the secondary energy source with the most potential [1]. Compared with traditional fossil fuels, hydrogen has the advantages of zero pollution and widely available sources, and is recognized as the most important energy vector [2,3]. The COMSOL platform was used to simulate the breakthrough curves of the gas mixtures on activated carbon [22] and zeolite 5A [23], and the effects of adsorption pressure, gas velocity, and gas composition on hydrogen purification performance were studied. The results showed that the increase in adsorption pressure, the shortening of the feeding time, and the decrease of the feed flow rate increased the hydrogen purity, but reduced the recovery and productivity. 10-step cycle VPSA and PSA models are established to simulate the hydrogen purification performance using the Aspen Adsorption platform. Parametric studies of the VPSA hydrogen purification performance are carried out based on the feeding time and purging time. Based on an ANN, the interior point method is applied to optimize the cycle
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
