Experimental and Modeling Studies on the Sorption Breakthrough Behaviors of Butanol from Aqueous Solution in a Fixed-bed of KA-I Resin

Xiaoqing Lin,Renjie Li,Qingshi Wen,Jinglan Wu,Jiansheng Fan,Xiaohong Jin,Wenbin Qian,Dong Liu,Xiaochun Chen,Yong Chen,Jingjing Xie,Jianxin Bai,Han-Jie Ying 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.2

Removal of biobutanol from acetone-butanolethanol (ABE) fermentation broth can be achieved by fixed-bed sorption by means of KA-I resin, and the relevant breakthrough curves would provide much valuable information to help design a continuous fixed-bed sorption process in field application. In the present study, the effects of several important design parameters, i.e., initial butanol concentration (Cf: 3.0 ~ 30.0 g/L), inlet flow rate (Qf: 0.5~ 5.5 mL/min) and adsorbent bed height (Z: 4.2 ~ 18.0 cm),on the adsorption breakthrough curves of KA-I resin in a fixed-bed column were investigated. It was found that the amount of adsorbed butanol at breakthrough point was increased with an increase in the value of Cf and Z; and with decrease in the value of Qf. However, the maximum sorption capacities of butanol at saturated point were basically unchanged. Three well-established fixed-bed adsorption models, namely Thomas, Yoon-Nelson and Adams-Bohart,were applied to predict the breakthrough curves and to determine the characteristic parameters of fixed-bed column,which are the basis for the process design at a real scale. Good agreement between the theoretical breakthrough curves and the experimental result were observed using Thomas and Yoon-Nelson models.

Compressive Deformation Behavior of AZ31Mg Alloy Containing {10–12} Extension Twins at Different Temperature

Hua Zhang,Xiaoqing Bai,Minjian Hou,Lifei Wang,Qiang Zhang,Jianfeng Fan,Weiguo Li,Hongbiao Dong,Bingshe Xu 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.5

Influence of pre-introducing {10–12} extension twins on compressive deformation behavior of AZ31Mg alloy at differenttemperature was investigated. The compression tests were conducted along the normal direction of AZ31Mg alloy at roomtemperature, 100 °C, 200 °C and 300 °C with a strain rate of 1 × 10−3 s−1. The results indicated that the pre-introducing{10–12} extension twins strongly affected the yield strength, the peak strength and the strain hardening rate at middle-lowtemperature (≤ 200 °C). The twinned samples containing pre-introducing {10–12} extension twins exhibited smaller yieldstrength and larger peak strength than the as-received samples without {10–12} extension twins at temperature ≤ 200 °C. Forthe as-received samples, the strain hardening rate decreased gradually at different temperature. While for the twinned samples,the strain hardening behavior exhibited three distinct stages at temperature ≤ 200 °C. When compressing at 300 °C, the asreceivedand twinned samples exhibited similar compression flow curves and strain hardening rate curves. The continuousdynamic recrystallization (CDRX) was the main dynamic recrystallization (DRX) mechanism in the as-received sample whencompressing at 200 °C. The twin assisted DRX besides CDRX was also initiated in the twinned sample when compressingat 200 °C. While the DRX mechanism was transformed into the discontinuous dynamic recrystallization (DDRX) in boththe as-received and twinned samples when compressing at 300 °C.

DNN-Based Active Constraints Screening to Preprocess SCUC Problem

Tang Xian,Bai Xiaoqing,Wang Rui,Li Peijie 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.5

Security-constraint unit commitment (SCUC) determines which generation units must be on and off -line over a time horizon. The computational burden increases from the increase in system size and various constraints. This paper proposes a method with an integration of a machine learning approach and optimization to solve the SCUC problem. A preprocessing strategy based on the deep neural network by predicting active voltage and branch constraints is applied to reduce the computation time of the SCUC problem. Numerical results of the modifi ed IEEE 30-Bus system and IEEE 118-Bus system suggest that active constraints can be fi gured out with high probability in a very short time. Moreover, the constraint-reduced SCUC problem can produce competitive results in terms of computational effi ciency with almost no loss of solution quality compared with the full constraints SCUC problem. The proposed approach achieves speedups of between 20 and 40% on diff erent testing examples.

Enhanced plasma mineralization of adsorbed toluene by optimization the hybrid support of Ag–Mn catalysts

Caihong Qin,Wenwen Bai,Pin Liu,Jiayu Huang,Hui Guo,Xuemin Huang,Xiaoqing Dang,Dongjie Yan 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.80 No.-

The removal of toluene using a cycling adsorption and plasma mineralization process was investigated ina packed reactor. The supports of catalysts were optimized in regards to mineralization rate (MR), CO2selectivity (SCO2), and the production of by-products. The hybrid support g-Al2O3-HY showed a muchbetter MR in comparison to that of HY alone. Using hybrid HY-g-Al2O3 as supports, loading Ag–Mn ononly HY or g-Al2O3 had a better MR than loading Ag–Mn on both HY and g-Al2O3. The stability studyshowed that intermediates accumulated on the surface of the catalyst lead to its deterioration.

An Active Learning Local Control Method for Optimal Power Flow in Low Voltage Distribution Networks Considering Missing Data

Huang Shengquan,Zhang Jiale,Bai Xiaoqing 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.6

The high penetration of renewable energy sources, especially solar photovoltaic, poses a signifi cant challenge in distribution networks. Data-driven local control is an eff ective and budgeted way to ensure reliable distribution operation. However, this mode will face computationally expensive and ineff ective problems with extensive historical data in the same operational period. In addition, the phenomenon of missing data will worsen due to the errors of measurement instruments. Therefore, an active learning local control method is proposed to select samples with diversity to improve the effi ciency of the control scheme and maintain the performance designed by the original samples under the missing condition. Firstly, an optimal power fl ow model in a low-voltage distribution network is constructed considering the neutral line’s impact. Then, the historical data containing missing values are processed by an imputation method, and an active learning method based on a greedy algorithm is introduced to select diverse samples, which speeds up the offl ine process of local control. Finally, we formulate the operation rules of the photovoltaic inverter and energy storage systems, which work as local devices in real-time control. The simulation results show that the proposed method realizes safe operation, saves the required time in the training stage, and achieves nearly approximate performance compared to the scheme designed by the original samples. Furthermore, this paper investigates the impact of diff erent rates of missing data on local control and presents the proposed method to achieve the security and cost-eff ectiveness of the system under any missing condition.

Optimal Configuration and Economic Operation of Wind–Solar-Storage Complementary System for Agricultural Irrigation in Mountainous Areas

Li Bin,Zhao Jianing,Zhang Yangyang,Bai Xiaoqing 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4

The disorderly use of electricity in agriculture is a serious source of the current electricity tension, and as distributed energy is expediently promoted, it is becoming increasingly notable that the source network and load are not well coordinated. Small pumped storage power station is established in this paper using irrigation facilities and mountain height differences. On the basis of satisfying the electricity demand for irrigation, the capacity of pumping units and generating sets is configured prudently with wind farms and photovoltaic power stations. In addition, fluctuation smoothing is factored into consideration, the spectrum analysis method is utilized to calibrate the installed capacity. We develop a wind-solar-pumped storage complementary day-ahead dispatching model with the objective of minimizing the grid connection cost by taking into account the uncertainty of wind power and photovoltaic output and combining the complementary characteristics. The proposed model and method were validated through simulation on four typical days for a microgrid system. The simulation results demonstrate that the system fully utilizes new energy sources and successfully addresses the issue of water and electricity consumption for agricultural irrigation in mountainous regions. This system also offers a valuable concept for achieving low carbon and environmental protection for agricultural electricity consumption.

Toluene abatement through adsorption and plasma oxidation using ZSM-5 mixed with γ-Al2O3, TiO2 or BaTiO3

Caihong Qin,Hui Guo,Pin Liu,Wenwen Bai,Jiayu Huang,Xuemin Huang,Xiaoqing Dang,Dongjie Yan 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.63 No.-

Toluene abatement through adsorption and then plasma oxidation using ZSM-5, ZSM-5-γ-Al2O3 (Z-Al), ZSM-5-TiO2 (Z-Ti), ZSM-5-BaTiO3 (Z-Ba), and AgMn/ZSM-5-BaTiO3 (AgMn/Z-Ba) as adsorbents/catalysts was investigated. The efficiency of toluene removal reached ∼100% for all the tested adsorbents/catalysts. ZSM-5 had the lowest mineralization rate (MR) of ∼43%, while Z-Ba had the highest MR (88%) with an SCO2 of ∼80%. After loading AgMn onto Z-Ba, both the breakthrough capacity of toluene and SCO2 was increased, while the production of byproduct O3 and MR was decreased. The mixed materials created a higher amount of active species capable of deeply oxidizing adsorbed toluene.

Non-thermal plasma coupled liquid-phase catalysis /Fe2+ for VOCs removal: Enhanced mechanism of protocatechuic acid

Caihong Qin,Rongrong Liu,Chaochao Jiang,Mengke Guo,Rui Yu,Jiayu Huang,Wenwen Bai,Xiaoqing Dang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.122 No.-

Non-thermal plasma coupling Fe2+ containing liquid-phase catalysis (NTP-LC/ Fe2+) can effectively reusethe byproduct ozone (O3) of NTP in LC/ Fe2+ for volatile organic compounds (VOCs) degradation. However,the low recycling rate of Fe2+/Fe3+ resulted in poor catalytic effect of the coupling system. In this study,the chelator protocatechuic acid (PCA) was added to LC/Fe2+ to enhance the removal of representativeVOC acetone. The results showed that adding PCA increased the acetone removal efficiency to 91% andkept O3 100% removed within 180 min. The mechanism of PCA-enhanced acetone degradation was thatPCA accelerated the Fe3+/Fe2+ cycle by generating PCA-Fe3+ chelates, which prevented the Fe3+ from precipitationand promoted the production of OH and O2 - for acetone oxidation.