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Hydrogen fuel cells are received increasingly wide attention in order to develop green ships and reduce greenhouse gas emissions in the field of waterway transportation. Metal hydrides (MHs) can be used to store hydrogen for green ships due to their high volumetric storage capacity and safety. Various measures should be considered in the design and manufacture process of the MH reactor to strengthen its performance of heat and mass transfer and obtain an acceptable hydrogen storage capacity. In this work, LaNi5 hydride is used as the hydrogen storage material and packed in the reactor. A basic axisymmetric numerical model for the hydrogen storage system without a heat exchanger has been developed and proved to be effective through the comparison between its simulation results and the published data during dehydriding. A hybrid heat exchanger, which is consisted of a phase change material (PCM) jacket and a coiled-tube, has been applied into the hydrogen storage system to relieve the thermal effect of MH in the dehydriding process on system performance. Effects of the heat transfer coefficient between the circulating heating water in the coil-tube and the MH bed, the temperature of circulating heating water and the pressure at the outlet on the dehydriding performance have been investigated. Based on parametric study, the relationships among the average dehydriding rate, the heat transfer coefficient, the heating water temperature and the outlet pressure have been found and fitted as simple equations. These fitted equations can be considered as a reference, which provides an important method to effectively control the dehydriding rate in order to satisfy the fuel requirement of the power unit and ensure the safe navigation of green ships in the future.
Liang Tong; Yupeng Yuan; Tianqi Yang; Pierre Bénard; Chengqing Yuan; Jinsheng Xiao. Hydrogen release from a metal hydride tank with phase change material jacket and coiled-tube heat exchanger. International Journal of Hydrogen Energy 2021, 46, 32135 -32148.
AMA StyleLiang Tong, Yupeng Yuan, Tianqi Yang, Pierre Bénard, Chengqing Yuan, Jinsheng Xiao. Hydrogen release from a metal hydride tank with phase change material jacket and coiled-tube heat exchanger. International Journal of Hydrogen Energy. 2021; 46 (63):32135-32148.
Chicago/Turabian StyleLiang Tong; Yupeng Yuan; Tianqi Yang; Pierre Bénard; Chengqing Yuan; Jinsheng Xiao. 2021. "Hydrogen release from a metal hydride tank with phase change material jacket and coiled-tube heat exchanger." International Journal of Hydrogen Energy 46, no. 63: 32135-32148.
Utilizing cobalt carbide (such as Co2C) as water electrolysis catalyst remains a significant challenge due to the high overpotentials during the oxygen evolution reaction (OER) and hydrogen evolution reaction (HER). Herein, in terms of theoretical predictions, we confirm that metallic Co exhibits HER catalytic selectivity, whereas Co2C has moderate binding energies for OER intermediates, thus boosting water splitting kinetics by the compatible integration. Experimentally, we present an interface engineering of Co nanoparticles and Co2C nanowires on carbon cloth (CC) resulting in a unique Co-Co2C/CC electrocatalyst. The resultant Co-Co2C/CC entails low overpotentials of only 261 mV for OER and 96 mV for HER at the current density of 10 mA cm−2, which are one of the highest activities yet reported for cobalt carbide-based materials. Moreover, the assembled electrolyzer can be driven by a solar cell. This work enlightens a novel avenue for the rational design of metal carbide-based highly efficient electrocatalysts.
Pengyan Wang; Jiawei Zhu; Zonghua Pu; Rui Qin; Chengtian Zhang; Ding Chen; Qian Liu; Dulan Wu; Wenqiang Li; Suli Liu; Jinsheng Xiao; Shichun Mu. Interfacial engineering of Co nanoparticles/Co2C nanowires boosts overall water splitting kinetics. Applied Catalysis B: Environmental 2021, 296, 120334 .
AMA StylePengyan Wang, Jiawei Zhu, Zonghua Pu, Rui Qin, Chengtian Zhang, Ding Chen, Qian Liu, Dulan Wu, Wenqiang Li, Suli Liu, Jinsheng Xiao, Shichun Mu. Interfacial engineering of Co nanoparticles/Co2C nanowires boosts overall water splitting kinetics. Applied Catalysis B: Environmental. 2021; 296 ():120334.
Chicago/Turabian StylePengyan Wang; Jiawei Zhu; Zonghua Pu; Rui Qin; Chengtian Zhang; Ding Chen; Qian Liu; Dulan Wu; Wenqiang Li; Suli Liu; Jinsheng Xiao; Shichun Mu. 2021. "Interfacial engineering of Co nanoparticles/Co2C nanowires boosts overall water splitting kinetics." Applied Catalysis B: Environmental 296, no. : 120334.
Owing to the high theoretical specific capacity, transition metal selenides (TMSs) have emerged as promising anode materials for lithium-ion batteries (LIBs). However, the application of TMSs still confronts fast capacity decay and sluggish reaction kinetics associated to their inherent poor conductivity and huge volume expansion during lithiation-delithiation cycles. Herein, the fine ZnSe nanoparticles are implanted into N-doped porous carbon nanosheets through synchronous pyrolysis/selenization of a leaf-like zeolitic imidazolate framework mixed with selenium powder. The highly dispersed fine ZnSe nanoparticles (NPs) coupled with conductive porous carbon nanosheets (denoted as ZnSe/NC) endow the resultant composite with superior structural merits for facilitating electron/ion transfer, thus alleviating the volume fluctuation. The systematic electrochemical investigation illustrates that the as-prepared ZnSe/NC-700 electrode can obtain a high reversible capacity (426.5 mAh g−1 at 1 A g−1 after 1000 cycles), excellent cycling stability (368.9 mAh g−1 after 1800 cycles at 2 A g−1) and nearly 100% columbic efficiency. In all, our strategy provides a new idea for synthesis of unique anode materials in LIBs.
Yue Yang; Jiawei Zhu; Pengyan Wang; Weihao Zeng; Haimi Liu; Chengtian Zhang; Zhixiang Chen; Dan Liu; Jinsheng Xiao; Shichun Mu. In situ implanting fine ZnSe nanoparticles into N-doped porous carbon nanosheets as an exposed highly active and long-life anode for lithium-ion batteries. Journal of Alloys and Compounds 2021, 876, 160135 .
AMA StyleYue Yang, Jiawei Zhu, Pengyan Wang, Weihao Zeng, Haimi Liu, Chengtian Zhang, Zhixiang Chen, Dan Liu, Jinsheng Xiao, Shichun Mu. In situ implanting fine ZnSe nanoparticles into N-doped porous carbon nanosheets as an exposed highly active and long-life anode for lithium-ion batteries. Journal of Alloys and Compounds. 2021; 876 ():160135.
Chicago/Turabian StyleYue Yang; Jiawei Zhu; Pengyan Wang; Weihao Zeng; Haimi Liu; Chengtian Zhang; Zhixiang Chen; Dan Liu; Jinsheng Xiao; Shichun Mu. 2021. "In situ implanting fine ZnSe nanoparticles into N-doped porous carbon nanosheets as an exposed highly active and long-life anode for lithium-ion batteries." Journal of Alloys and Compounds 876, no. : 160135.
The pressure swing adsorption (PSA) system is widely applied to separate and purify hydrogen from gaseous mixtures. The extended Langmuir equation fitted from the extended Langmuir-Freundlich isotherm has been used to predict the adsorption isothermal of hydrogen and methane on the zeolite 5A adsorbent bed. A six-step two-bed PSA model for hydrogen purification is developed and validated by comparing its simulation results with other works. The effects of the adsorption pressure, the P/F ratio, the adsorption step time and the pressure equalization time on the performance of the hydrogen purification system are studied. A four-step two-bed PSA model is taken into consideration, and the six-step PSA system shows higher about 13% hydrogen recovery than the four-step PSA system. The performance of the vacuum pressure swing adsorption (VPSA) system is compared with that of the PSA system, the VPSA system shows higher hydrogen purity than the PSA system. Based on the validated PSA model, a dataset has been produced to train the artificial neural network (ANN) model. The effects of the number of neurons in the hidden layer and the number of samples used for training ANN model on the predicted performance of ANN model are investigated. Then, the well-trained ANN model with 6 neurons in the hidden layer is applied to predict the performance of the PSA system for hydrogen purification. Multi-objective optimization of hydrogen purification system is performed based on the trained ANN model. The artificial neural network can be considered as a very effective method for predicting and optimizing the performance of the PSA system for hydrogen purification.
Liang Tong; Pierre Bénard; Yi Zong; Richard Chahine; Kun Liu; Jinsheng Xiao. Artificial neural network based optimization of a six-step two-bed pressure swing adsorption system for hydrogen purification. Energy and AI 2021, 5, 100075 .
AMA StyleLiang Tong, Pierre Bénard, Yi Zong, Richard Chahine, Kun Liu, Jinsheng Xiao. Artificial neural network based optimization of a six-step two-bed pressure swing adsorption system for hydrogen purification. Energy and AI. 2021; 5 ():100075.
Chicago/Turabian StyleLiang Tong; Pierre Bénard; Yi Zong; Richard Chahine; Kun Liu; Jinsheng Xiao. 2021. "Artificial neural network based optimization of a six-step two-bed pressure swing adsorption system for hydrogen purification." Energy and AI 5, no. : 100075.
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.
Jinsheng Xiao; Ang Mei; Wei Tao; Shuo Ma; Pierre Bénard; Richard Chahine. Hydrogen Purification Performance Optimization of Vacuum Pressure Swing Adsorption on Different Activated Carbons. Energies 2021, 14, 2450 .
AMA StyleJinsheng Xiao, Ang Mei, Wei Tao, Shuo Ma, Pierre Bénard, Richard Chahine. Hydrogen Purification Performance Optimization of Vacuum Pressure Swing Adsorption on Different Activated Carbons. Energies. 2021; 14 (9):2450.
Chicago/Turabian StyleJinsheng Xiao; Ang Mei; Wei Tao; Shuo Ma; Pierre Bénard; Richard Chahine. 2021. "Hydrogen Purification Performance Optimization of Vacuum Pressure Swing Adsorption on Different Activated Carbons." Energies 14, no. 9: 2450.
From 2008 to 2020, Chinese automobile production and sales have ranked first in the world. The huge production, sales, and ownership of automobiles will inevitably lead to a rapid increase of end-of-life vehicles in the future and a corresponding issue of resource recycling. Based on the analysis of a practical dismantling study and statistics declared by the supplier of 19.5% of components and parts with a weight greater than 0.5 kg from two typical vehicle models from 2011 to 2013, this paper focuses on nonmetallic components and parts, the connection of components and parts materials, and the product life cycle of each stage, to find rational technical solutions, and therefore maximize recyclability and recoverability and achieve sustainable development. On one hand, recycling at each stage for vehicles is considered in the design and development of products. As a result, it is found that the main methods, which are conducive to recycling, are increasing the use ratio of materials that are easy to recycle. In addition, general principles of material selection are summarized. On the other hand, vehicles’ dismantling is considered in the initial stage of product design and methods of structural design are summarized.
Xiaohui He; Dongmei Su; Wenchao Cai; Alexandra Pehlken; Guofang Zhang; Aimin Wang; Jinsheng Xiao. Influence of Material Selection and Product Design on Automotive Vehicle Recyclability. Sustainability 2021, 13, 3407 .
AMA StyleXiaohui He, Dongmei Su, Wenchao Cai, Alexandra Pehlken, Guofang Zhang, Aimin Wang, Jinsheng Xiao. Influence of Material Selection and Product Design on Automotive Vehicle Recyclability. Sustainability. 2021; 13 (6):3407.
Chicago/Turabian StyleXiaohui He; Dongmei Su; Wenchao Cai; Alexandra Pehlken; Guofang Zhang; Aimin Wang; Jinsheng Xiao. 2021. "Influence of Material Selection and Product Design on Automotive Vehicle Recyclability." Sustainability 13, no. 6: 3407.
Pressure swing adsorption (PSA) is an important technology for mixture gas separation and purification. In this work, a dynamic model for a layered adsorption bed packed with activated carbon and zeolite 5A was developed and validated to study the PSA process. The model was validated by calculating breakthrough curves of a five-component gas mixture (H2/CH4/CO/N2/CO2 = 56.4/26.6/8.4/5.5/3.1 mol%) and comparing the results with available experimental data. The purification performance of six-step layered bed PSA cycle was studied using the model. In order to optimize the cycle, the Box-Behnken design (BBD) method was used, as implemented in Design Expert™. The parametric study showed that, for adsorption step durations ranging from 160 to 200 s, as the adsorption time increased, the purity decreased, whereas the recovery and productivity increased. During the pressure equalization step, the purity increased as the pressure equalization time increased, but the recovery and productivity decreased for step durations ranging from 10 to 30 s. As the P/F ratio (hydrogen used in purge step to hydrogen fed in adsorption step) increased from 0.05 to 0.125, the purity increased, whereas the recovery and productivity decreased. The optimization of the layered bed PSA process by the BBD method was then performed. In addition to the adsorption time, the pressure equalization time and the P/F ratio were considered as independent optimization parameters. Quadratic regression equations were then obtained for three responses of the system, namely purity, recovery, and productivity. When purity is set as the main performance indicator, the following values were obtained for the optimization parameters: an adsorption time of 168 s, a pressure equalization time of 14 s, and a P/F ratio of 0.11. Under those conditions, the system achieved a purity of 99.99%, a recovery of 57.76%, and a productivity of 6.41 mol/(kg·h).
Nannan Zhang; Pierre Bénard; Richard Chahine; Tianqi Yang; Jinsheng Xiao. Optimization of pressure swing adsorption for hydrogen purification based on Box-Behnken design method. International Journal of Hydrogen Energy 2020, 46, 5403 -5417.
AMA StyleNannan Zhang, Pierre Bénard, Richard Chahine, Tianqi Yang, Jinsheng Xiao. Optimization of pressure swing adsorption for hydrogen purification based on Box-Behnken design method. International Journal of Hydrogen Energy. 2020; 46 (7):5403-5417.
Chicago/Turabian StyleNannan Zhang; Pierre Bénard; Richard Chahine; Tianqi Yang; Jinsheng Xiao. 2020. "Optimization of pressure swing adsorption for hydrogen purification based on Box-Behnken design method." International Journal of Hydrogen Energy 46, no. 7: 5403-5417.
Compressed hydrogen storage is widely used in hydrogen fuel cell vehicles (HFCVs). Cascade filling systems can provide different pressure levels associated with various source tanks allowing for a variable mass flow rate. To meet refueling performance objectives, safe and fast filling processes must be available to HFCVs. The main objective of this paper is to establish an optimization methodology to determine the initial thermodynamic conditions of the filling system that leads to the lowest final temperature of hydrogen in the on-board storage tank with minimal energy consumption. First, a zero-dimensional lumped parameter model is established. This simplified model, implemented in Matlab/Simulink, is then used to simulate the flow of hydrogen from cascade pressure tanks to an on-board hydrogen storage tank. A neural network is then trained with model calculation results and experimental data for multi-objective optimization. It is found to have good prediction, allowing the determination of optimal filling parameters. The study shows that a cascade filling system can well refuel the on-board storage tank with constant average pressure ramp rate (APRR). Furthermore, a strong pre-cooling system can effectively lower the final temperature at a cost of larger energy consumption. By using the proposed neural network, for charging times less than 183s, the optimization procedure predicts that the inlet temperature is 259.99–266.58 K, which can effectively reduce energy consumption by about 2.5%.
Jinsheng Xiao; Cheng Bi; Pierre Bénard; Richard Chahine; Yi Zong; Maji Luo; Tianqi Yang. Neural network based optimization for cascade filling process of on-board hydrogen tank. International Journal of Hydrogen Energy 2020, 46, 2936 -2951.
AMA StyleJinsheng Xiao, Cheng Bi, Pierre Bénard, Richard Chahine, Yi Zong, Maji Luo, Tianqi Yang. Neural network based optimization for cascade filling process of on-board hydrogen tank. International Journal of Hydrogen Energy. 2020; 46 (3):2936-2951.
Chicago/Turabian StyleJinsheng Xiao; Cheng Bi; Pierre Bénard; Richard Chahine; Yi Zong; Maji Luo; Tianqi Yang. 2020. "Neural network based optimization for cascade filling process of on-board hydrogen tank." International Journal of Hydrogen Energy 46, no. 3: 2936-2951.
Currently, most of the vehicles make use of fossil fuels for operations, resulting in one of the largest sources of carbon dioxide emissions. The need to cut our dependency on these fossil fuels has led to an increased use of renewable energy sources (RESs) for mobility purposes. A technical and economic analysis of a one-stop charging station for battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV) is investigated in this paper. The hybrid optimization model for electric renewables (HOMER) software and the heavy-duty refueling station analysis model (HDRSAM) are used to conduct the case study for a one-stop charging station at Technical University of Denmark (DTU)-Risø campus. Using HOMER, a total of 42 charging station scenarios are analyzed by considering two systems (a grid-connected system and an off-grid connected system). For each system three different charging station designs (design A-hydrogen load; design B-an electrical load, and design C-an integrated system consisting of both hydrogen and electrical load) are set up for analysis. Furthermore, seven potential wind turbines with different capacity are selected from HOMER database for each system. Using HDRSAM, a total 18 scenarios are analyzed with variation in hydrogen delivery option, production volume, hydrogen dispensing option and hydrogen dispensing option. The optimal solution from HOMER for a lifespan of twenty-five years is integrated into design C with the grid-connected system whose cost was $986,065. For HDRSAM, the optimal solution design consists of tube trailer as hydrogen delivery with cascade dispensing option at 350 bar together with high production volume and the cost of the system was $452,148. The results from the two simulation tools are integrated and the overall cost of the one-stop charging station is achieved which was $2,833,465. The analysis demonstrated that the one-stop charging station with a grid connection is able to fulfil the charging demand cost-effectively and environmentally friendly for an integrated energy system with RESs in the investigated locations.
Saumya Bansal; Yi Zong; Shi You; Lucian Mihet-Popa; Jinsheng Xiao. Technical and Economic Analysis of One-Stop Charging Stations for Battery and Fuel Cell EV with Renewable Energy Sources. Energies 2020, 13, 2855 .
AMA StyleSaumya Bansal, Yi Zong, Shi You, Lucian Mihet-Popa, Jinsheng Xiao. Technical and Economic Analysis of One-Stop Charging Stations for Battery and Fuel Cell EV with Renewable Energy Sources. Energies. 2020; 13 (11):2855.
Chicago/Turabian StyleSaumya Bansal; Yi Zong; Shi You; Lucian Mihet-Popa; Jinsheng Xiao. 2020. "Technical and Economic Analysis of One-Stop Charging Stations for Battery and Fuel Cell EV with Renewable Energy Sources." Energies 13, no. 11: 2855.
Hafsa El Mghari; Jacques Huot; Liang Tong; Jinsheng Xiao. Selection of phase change materials, metal foams and geometries for improving metal hydride performance. International Journal of Hydrogen Energy 2020, 45, 14922 -14939.
AMA StyleHafsa El Mghari, Jacques Huot, Liang Tong, Jinsheng Xiao. Selection of phase change materials, metal foams and geometries for improving metal hydride performance. International Journal of Hydrogen Energy. 2020; 45 (29):14922-14939.
Chicago/Turabian StyleHafsa El Mghari; Jacques Huot; Liang Tong; Jinsheng Xiao. 2020. "Selection of phase change materials, metal foams and geometries for improving metal hydride performance." International Journal of Hydrogen Energy 45, no. 29: 14922-14939.
An adsorption, heat and mass transfer model for the five‐component gas from coal gas (H2/CO2/CH4/CO/N2 = 38/50/1/1/10 vol%) in a layered bed packed with activated carbon and zeolite was established by Aspen Adsorption software. Compared with published experimental results, the hydrogen purification performance by pressure swing adsorption (PSA) in a layered bed was numerically studied. The results show that there is a contradiction between the hydrogen purity and recovery, so the multi‐objective optimization algorithms are needed to optimize the PSA process. Machine learning methods can be used for data analysis and prediction; the polynomial regression (PNR) and artificial neural network (ANN) were used to predict the purification performance of two‐bed six‐step process. Finally, two ANN models combined with sequence quadratic program (SQP) algorithm were used to achieve multi‐objective optimization of hydrogen purification performance. According to the analysis of the optimization results, the ANN models are more suitable for optimizing the purification performance of hydrogen than the PNR model.
Jinsheng Xiao; Chenglong Li; Liang Fang; Pascal Böwer; Michael Wark; Pierre Bénard; Richard Chahine. Machine learning–based optimization for hydrogen purification performance of layered bed pressure swing adsorption. International Journal of Energy Research 2020, 44, 4475 -4492.
AMA StyleJinsheng Xiao, Chenglong Li, Liang Fang, Pascal Böwer, Michael Wark, Pierre Bénard, Richard Chahine. Machine learning–based optimization for hydrogen purification performance of layered bed pressure swing adsorption. International Journal of Energy Research. 2020; 44 (6):4475-4492.
Chicago/Turabian StyleJinsheng Xiao; Chenglong Li; Liang Fang; Pascal Böwer; Michael Wark; Pierre Bénard; Richard Chahine. 2020. "Machine learning–based optimization for hydrogen purification performance of layered bed pressure swing adsorption." International Journal of Energy Research 44, no. 6: 4475-4492.
During the hydrogen filling process, the excessive temperature rise may cause the hydrogen storage tank to fail. Therefore, preventing the temperature from rising too high is an important guarantee for the safety of the hydrogen storage cylinder. The analytical solution of a single-zone thermodynamic model for hydrogen refueling is obtained. Based on the analytical solution of the final hydrogen temperature derived from the hydrogen filling theoretical model, the relationship among the final hydrogen temperature and the initial temperature and the inlet temperature and the ambient temperature is obtained. The model is used to achieve correlations coefficients among the above parameters. Data of Type III 40L tank and Type IV 29L tank used in the model are from the experiment, and data of Type III 25L tank and Type IV 174L tank are from the simulation. The results show that our analytical solution is applicable for determining correlations between final hydrogen temperature and refueling parameters from experimental and numerical data. Our analytical solution is more accurate than the reduced model reported in reference. At the same time, the effects of the initial temperature and the inlet temperature on the final temperature are stronger in Type IV tank than in the Type III tank. This study may provide guides for improving hydrogen refueling standards.
Shanshan Deng; Jinsheng Xiao; Pierre Bénard; Richard Chahine. Determining correlations between final hydrogen temperature and refueling parameters from experimental and numerical data. International Journal of Hydrogen Energy 2020, 45, 20525 -20534.
AMA StyleShanshan Deng, Jinsheng Xiao, Pierre Bénard, Richard Chahine. Determining correlations between final hydrogen temperature and refueling parameters from experimental and numerical data. International Journal of Hydrogen Energy. 2020; 45 (39):20525-20534.
Chicago/Turabian StyleShanshan Deng; Jinsheng Xiao; Pierre Bénard; Richard Chahine. 2020. "Determining correlations between final hydrogen temperature and refueling parameters from experimental and numerical data." International Journal of Hydrogen Energy 45, no. 39: 20525-20534.
Thermodynamic analyses for a hydriding-dehydriding cycle process of a hydrogen storage system are carried out. Assuming the mass flow rate and the mass source term are both constant, the analytical solutions for lumped temperature in the metal hydride hydrogen storage tank are obtained in the absorption, dormancy and desorption processes. The analytical solution is important to understand the hydriding-dehydriding process, which can be used as a benchmark to validate lumped/distributed parameter models for further study. A lumped parameter numerical model is developed on the Matlab/Simulink software platform. The numerical solutions of this model with constant source term coincide with the analytical solutions. Different analytical solutions are solved with various combinations of the hydrogen inflow/outflow temperature. The analytical solution in present work is compared with the reduced model in the reference, and shows more accurate than the reduced model. The variable source term is applied to the validated lumped parameter model. The results of parametric study show that the source term of metal hydride is roughly constant when the hydrogen storage capacity is not beyond about 90% of its limited capacity.
Jinsheng Xiao; Liang Tong; Pierre Bénard; Richard Chahine. Thermodynamic analysis for hydriding-dehydriding cycle of metal hydride system. Energy 2019, 191, 116535 .
AMA StyleJinsheng Xiao, Liang Tong, Pierre Bénard, Richard Chahine. Thermodynamic analysis for hydriding-dehydriding cycle of metal hydride system. Energy. 2019; 191 ():116535.
Chicago/Turabian StyleJinsheng Xiao; Liang Tong; Pierre Bénard; Richard Chahine. 2019. "Thermodynamic analysis for hydriding-dehydriding cycle of metal hydride system." Energy 191, no. : 116535.
Using phase change materials (PCM) as thermal energy storage material in metal hydride reactor bed is an effective method to store the heat emitted during hydrogen charging and retrieving it later during discharging. The present work examines the effect of a PCM on the behaviour of the metal hydride in the reactor bed. A two-dimensional model was developed to describe the mass and heat transfer inside the metal hydride and the PCM as well as the interaction between them. The results were compared with other numerical simulation and experimental data. In the simulations, thermal conductivity and the latent heat were varied in order to evaluate the effect of these parameters on the kinetics of absorption, desorption and melting of the phase change material.
Hafsa El Mghari; Jacques Huot; Jinsheng Xiao. Analysis of hydrogen storage performance of metal hydride reactor with phase change materials. International Journal of Hydrogen Energy 2019, 44, 28893 -28908.
AMA StyleHafsa El Mghari, Jacques Huot, Jinsheng Xiao. Analysis of hydrogen storage performance of metal hydride reactor with phase change materials. International Journal of Hydrogen Energy. 2019; 44 (54):28893-28908.
Chicago/Turabian StyleHafsa El Mghari; Jacques Huot; Jinsheng Xiao. 2019. "Analysis of hydrogen storage performance of metal hydride reactor with phase change materials." International Journal of Hydrogen Energy 44, no. 54: 28893-28908.
Pressure swing adsorption (PSA) technology is an effective method to extract hydrogen from synthesis gas (syngas) and purify the produced hydrogen. The dynamic adsorption models for syngas (H2/CO 70/30 mol%) treatment by single- and double-bed PSA systems with zeolite 5A were developed. The breakthrough curves of the single-bed hydrogen purification PSA system were studied. Subsequently, the performance of the single- and double-bed PSA cycles was studied. The models were built and implemented using the Aspen Adsorption platform. After model validation and successful simulation of the breakthrough curves in the single-bed model, the simulation of five- and six-step PSA cycles in the single-bed and double-bed models, respectively, were carried out. A parametric study of both single- and double-bed models was then carried out. The results reveal that the simulated breakthrough curves agree with the experimental curves very well. The parametric study shows that, with certain range of 1.38 × 10−6 to 2.08 × 10−6 kmol/s for feed flow rate, the adsorption time of 240–360 s for single-bed and 180–300 s for double-bed, a lower feed flow rate and shorter adsorption time leads to higher purity, lower recovery, and lower productivity. For the double-bed PSA model, the influence of the pressure equalization time, with the range of 5–40 s, on the PSA process was also studied. It can be found that, as the pressure equalization time increased, better purity and recovery but lower productivity were obtained. The results show that, at a feed flow rate of 1.58 × 10−6 kmol/s, the recovery and productivity of the double bed are higher by 11% and 1 mol/kg/h, respectively, than those of the single bed.
Nannan Zhang; Jinsheng Xiao; Pierre Bénard; Richard Chahine. Single- and double-bed pressure swing adsorption processes for H2/CO syngas separation. International Journal of Hydrogen Energy 2019, 44, 26405 -26418.
AMA StyleNannan Zhang, Jinsheng Xiao, Pierre Bénard, Richard Chahine. Single- and double-bed pressure swing adsorption processes for H2/CO syngas separation. International Journal of Hydrogen Energy. 2019; 44 (48):26405-26418.
Chicago/Turabian StyleNannan Zhang; Jinsheng Xiao; Pierre Bénard; Richard Chahine. 2019. "Single- and double-bed pressure swing adsorption processes for H2/CO syngas separation." International Journal of Hydrogen Energy 44, no. 48: 26405-26418.
Shunxi Li; Jinghao Long; Pang‐Chieh Sui; Zhengxi Hou; Richard Chahine; Jinsheng Xiao. Addition of hydrogen refueling for fuel cell bus fleet to existing natural gas stations: A case study in Wuhan, China. International Journal of Energy Research 2019, 1 .
AMA StyleShunxi Li, Jinghao Long, Pang‐Chieh Sui, Zhengxi Hou, Richard Chahine, Jinsheng Xiao. Addition of hydrogen refueling for fuel cell bus fleet to existing natural gas stations: A case study in Wuhan, China. International Journal of Energy Research. 2019; ():1.
Chicago/Turabian StyleShunxi Li; Jinghao Long; Pang‐Chieh Sui; Zhengxi Hou; Richard Chahine; Jinsheng Xiao. 2019. "Addition of hydrogen refueling for fuel cell bus fleet to existing natural gas stations: A case study in Wuhan, China." International Journal of Energy Research , no. : 1.
Highly automated vehicles (HAVs) generate the optimistic prospect of future smart mobility together with the disruptive influence of traditional policies. Formulating appropriate policies based on applicable methods are necessary to cope with the potential uncertainties of HAVs. By reviewing the literature in a structural manner, this paper analyzes the emerging importance and research frontiers in formulating HAV policies and presents insights gained from three major methods of dealing with uncertain, dynamic, and evolving transport problems. First, the formulation of HAV policy is important for at least three reasons: it may accelerate the development and control of potential uncertainties of HAV, balance technology innovations with traffic security, and provide a steady and efficient migration from human drivers to automated driving systems. Second, current research focuses mainly on the role of government, licensing and testing standards, certification, reliability, policy interventions, public health, legal challenges, and restrictive or supportive policies. A common research framework and methodology of HAV systems has not yet been established to deal with the uncertainties of technology security. Finally, three potential methods of formulating HAV policy are identified herein, namely (1) the backcasting method, which could determine the future of HAV objectives and pathways; (2) the dynamic adaptive method, which makes the policy transition to HAV systems more organic and dynamic; and (3) the policy transfer and migration method, which provides a clear vision of the adaptation procedure. These methods are used in different circumstances to formulate HAV policies. Each method has its pros and cons. The present review provides insights into formulating future HAV policies using these methods.
Shunxi Li; Pang-Chieh Sui; Jinsheng Xiao; Richard Chahine. Policy formulation for highly automated vehicles: Emerging importance, research frontiers and insights. Transportation Research Part A: Policy and Practice 2019, 124, 573 -586.
AMA StyleShunxi Li, Pang-Chieh Sui, Jinsheng Xiao, Richard Chahine. Policy formulation for highly automated vehicles: Emerging importance, research frontiers and insights. Transportation Research Part A: Policy and Practice. 2019; 124 ():573-586.
Chicago/Turabian StyleShunxi Li; Pang-Chieh Sui; Jinsheng Xiao; Richard Chahine. 2019. "Policy formulation for highly automated vehicles: Emerging importance, research frontiers and insights." Transportation Research Part A: Policy and Practice 124, no. : 573-586.
Metal hydride hydrogen storage reservoir should be carefully designed to achieve acceptable performance due to significant thermal effect on the system during hydriding/dehydriding. Phase change materials can be applied to metal hydride hydrogen storage system in order to improve the system performance. A transient two-dimensional axisymmetric numerical model for the metal hydride reservoir packed with LaNi5 has been developed on Comsol platform, which was validated by comparing the simulation results with the experiment data from other work. Then, the performances of metal hydride hydrogen storage reservoir using phase change materials were predicted. The effects of some parameters, such as the thermal conductivity, the mass and the latent heat of fusion of the phase change materials, on the metal hydride hydrogen storage reservoir were discussed. The results shown that it was good way to improve the efficiency of the system by increasing the thermal conductivity of phase change materials and selecting a relatively larger latent heat of fusion. Due to the relatively lower thermal conductivity of phase change materials, different metal foams were composited with the phase change materials in order to improve the heat transfer from the metal hydride bed to the phase change materials and the hydrogen storage efficiency. The effect of aluminium foam on the metal hydride reservoir was studied and validated. The phase change materials composited with copper foam shown better performance than that composited with aluminium foam.
Liang Tong; Jinsheng Xiao; Pierre Bénard; Richard Chahine. Thermal management of metal hydride hydrogen storage reservoir using phase change materials. International Journal of Hydrogen Energy 2019, 44, 21055 -21066.
AMA StyleLiang Tong, Jinsheng Xiao, Pierre Bénard, Richard Chahine. Thermal management of metal hydride hydrogen storage reservoir using phase change materials. International Journal of Hydrogen Energy. 2019; 44 (38):21055-21066.
Chicago/Turabian StyleLiang Tong; Jinsheng Xiao; Pierre Bénard; Richard Chahine. 2019. "Thermal management of metal hydride hydrogen storage reservoir using phase change materials." International Journal of Hydrogen Energy 44, no. 38: 21055-21066.
The state of charge (SOC) is a key indicator to show whether a compressed hydrogen tank meets refueling requirements, so it is worth to study effects of the refueling parameters on it. A new SOC analytical solution is obtained based on a simple thermodynamic model. By applying a mass balance equation and an energy balance equation for a hydrogen storage system, a differential equation was obtained. An analytical solution of hydrogen temperature was deduced from the solution of the differential equation, then an analytical solution of hydrogen mass was further deduced based on the analytical solution of hydrogen temperature with some mathematical modifications. By assuming the hydrogen density inside the tank is uniform, the SOC, which defined as a ratio of hydrogen density to the full-fill density, can be transformed to be the ratio of hydrogen mass to the full-fill mass. The hydrogen mass can be calculated from analytical solution of hydrogen mass, while the full-fill mass is supposed to be a constant value. The full-fill density of 35 MPa and 70 MPa tanks at 15 °C are respectively 24.0 g/L and 40.2 g/L, and if the volume of the tank is known, the full-fill mass can also be calculated. The analytical solution of SOC can be unitized to express the reference data, the contributions of inflow temperature and mass flow rate on SOC are presented for a Dynetek type III tank (40 L, metallic liner) and a Hexagon type IV tank (29 L, plastic liner). In addition, the two-parameter effect of inflow temperature and mass flow rate on SOC are presented. The Nusselt number and Reynolds number are utilized to modify the analytical model, the relationship between SOC and refueling parameters can be obtained through the method of fitting. The fittings show a good agreement. The SOC can be determined from the refueling parameters based on the model with more physical meaning. The method developed in this research can be applied to the control algorithm of refueling stations to ensure safety and efficiency.
Jinsheng Xiao; Shuo Ma; Xu Wang; Shanshan Deng; Tianqi Yang; Pierre Bénard. Effect of Hydrogen Refueling Parameters on Final State of Charge. Energies 2019, 12, 645 .
AMA StyleJinsheng Xiao, Shuo Ma, Xu Wang, Shanshan Deng, Tianqi Yang, Pierre Bénard. Effect of Hydrogen Refueling Parameters on Final State of Charge. Energies. 2019; 12 (4):645.
Chicago/Turabian StyleJinsheng Xiao; Shuo Ma; Xu Wang; Shanshan Deng; Tianqi Yang; Pierre Bénard. 2019. "Effect of Hydrogen Refueling Parameters on Final State of Charge." Energies 12, no. 4: 645.
In order to facilitate the application of hydrogen energy and ensure its safety, the compressed hydrogen storage tank on board needs to be full of hydrogen gas within 3 minutes. Therefore, to meet this requirement, the effects of refueling parameters on the filling time need to be investigated urgently. For the purpose of solving this issue, a novel analytical solution of filling time is obtained from a lumped parameter model in this paper. According to the equation of state for real gas and dimensionless numbers Nu and Re, the function relationships between the filling time and the refueling parameters are presented. These parameters include initial temperature, initial pressure, inflow temperature, final temperature and final pressure. These equations are used to fit the reference data, the results of fitting show good agreement. Then, the values of fitting parameters are further utilized so as to verify the validity of these formulas. We believe this study can contribute to control the hydrogen filling time and ensure the safety during fast filling process.
Xin Zhou; Tianqi Yang; Jinsheng Xiao; Pierre Bénard; Richard Chahine. Estimation of filling time for compressed hydrogen refueling. Energy Procedia 2019, 158, 1897 -1903.
AMA StyleXin Zhou, Tianqi Yang, Jinsheng Xiao, Pierre Bénard, Richard Chahine. Estimation of filling time for compressed hydrogen refueling. Energy Procedia. 2019; 158 ():1897-1903.
Chicago/Turabian StyleXin Zhou; Tianqi Yang; Jinsheng Xiao; Pierre Bénard; Richard Chahine. 2019. "Estimation of filling time for compressed hydrogen refueling." Energy Procedia 158, no. : 1897-1903.