A distributed energy system integrating SOFC-MGT with mid-and-low temperature solar thermochemical hydrogen fuel production

Solar thermochemical hydrogen production with energy level upgraded from solar thermal to chemical energy shows great potential. By integrating mid-and-low temperature solar thermochemistry and solid oxide fuel cells, in this paper, a new distributed energy system combining power, cooling, and heating is proposed and analyzed from thermodynamic, energy and exergy viewpoints. Different from the high temperature solar thermochemistry (above 1073.15 K), the mid-and-low temperature solar thermochemistry utilizes concentrated solar thermal (473.15–573.15 K) to drive methanol decomposition reaction, reducing irreversible heat collection loss. The produced hydrogen-rich fuel is converted into power through solid oxide fuel cells and micro gas turbines successively, realizing the cascaded utilization of fuel and solar energy. Numerical simulation is conducted to investigate the system thermodynamic performances under design and off-design conditions. Promising results reveal that solar-to-hydrogen and net solar-to-electricity efficiencies reach 66.26% and 40.93%, respectively. With the solar thermochemical conversion and hydrogen-rich fuel cascade utilization, the system exergy and overall energy efficiencies reach 59.76% and 80.74%, respectively. This research may provide a pathway for efficient hydrogen-rich fuel production and power generation.     

平煤六矿大埋深高瓦斯切顶留巷技术应用与实践#br#

为保证矿井安全高效生产，针对平煤股份公司六矿戊8 32010工作面机巷平均埋深700 m、瓦斯原始含量5.12 m3/t，原始瓦斯压力0.52 MPa的情况，开展卸压切顶留巷工作。通过对留巷全过程矿压监测，分析成巷矿压分布规律，将留巷分为动压剧烈影响区、动压缓慢影响区和成巷稳定区三部分，矿压分别来源于超前支承压力和留巷内顶板短悬臂梁失稳。留巷进入稳定区后，随着巷道超前支护液压支架等支护设施的撤除，巷道会出现二次稳定过程，主要源于顶板对于巷道超前支护液压支架工作阻力的再平衡。切顶留巷技术提高了工作效率，很好地解决了矿井采掘接替紧张的问题。     

基于Q-learning的不确定环境BDI Agent最优策略规划研究

BDI模型能够很好地解决在特定环境下的Agent的推理和决策问题,但在动态和不确定环境下缺少决策和学习的能力。强化学习解决了Agent在未知环境下的决策问题,却缺少BDI模型中的规则描述和逻辑推理。针对BDI在未知和动态环境下的策略规划问题,提出基于强化学习Q-learning算法来实现BDI Agent学习和规划的方法,并针对BDI的实现模型ASL的决策机制做出了改进,最后在ASL的仿真平台Jason上建立了迷宫的仿真,仿真实验表明,在加入Q-learning学习机制后的新的ASL系统中,Agent在不确定环境下依然可以完成任务。     

Preparation and polymerization of isopimaric acid derivatives

Isopimaric acid is a typical rosin compound and can account for 30% of the total mass of slash pine rosin. The molecular structure of isopimaric acid derivatives features an unsaturated double bond at the C13 position, opening up the possibility of their industrial polymerization. In this study, isopimaric acid (95.4%), methyl isopimarate (99.5%), and allyl isopimarate (95.1%) were prepared as highly pure monomers. New experimental results are presented and mechanisms based on the investigation of free-radical polymerization under UV irradiation are proposed. New rosin monomers for potential value-added utilization of woody biomass are also identified. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47817.     

Process monitoring method based on correlation variable classification and vine copula

Chemical processes are becoming increasingly complicated, leading to an increase in process variables and more complex relationships among them. The vine copula has a significant advantage in portraying the dependence of high-dimensional variables. However, as the dimensions increase, the vine copula model incurs a high computational load; such pressure greatly reduces model efficiency. Relationships among variables in the industrial process are complex. Different variables may be strongly or weakly associated or even independent. This paper proposes a process monitoring method based on correlation variable classification and vine copula. The weighted correlation measure is first used to divide variables into a correlated subspace and weakly correlated subspace. Then, two vine structures, C-vine and D-vine, are applied to the correlated and weakly correlated subspaces, respectively. This method takes advantage of C-vine for correlated variables and the flexibility of D-vine for weakly correlated variables. Finally, comprehensive statistics are established based on different subspaces. Monitoring results of the numerical system and the Tennessee Eastman process demonstrate the effectiveness and validity of the proposed method.     

一类两性分枝过程条件均值增长率的极限性质

本文主要研究随机环境中配对依赖人口数两性 Galton-Watson 分枝过程的条件均值增长率的极限性质．利用上可加函数的性质，得到配对单元平均增长率的极限性质和该过程条件均值的上界和下界．文中给出了关于过程条件均值增长率的两个序列，利用配对单元平均增长率的性质，获得了这两个序列的极限性质．随机环境中配对依赖人口数两性分枝过程比较复杂，本文的结论推广了现有的研究成果．     

吸收式热泵耦合带式干化在热电厂煤泥掺烧上的应用分析

热电厂煤泥掺烧机组利用吸收式热泵耦合带式干化技术,不仅可对污泥进行无害化处置,同时回收利用污泥干化及电厂焚烧余热废热,减少环境热污染,提高能源利用率.     

8e6科技走校园路线--校园网行为管理解决方案最受青睐

8e6科技公司近日发布的一项校园网安全状况和网络行为管理调查报告显示:目前校园网关注的主要问题是安全威胁和网络带宽浪费。校园网络遇到的安全问题主要集中在防病毒和网络行为管理上,为此,网络行为管理解决方案成为改善校园网安全和应用状况的优选解决方案。大部分受访人表示,他们很愿意采用网络行为管理解决方案,用以解决目前遇到的网络行为管理问题。而选择网络行为管理解决方案时,他们比较关心的是设备的稳定性、安全性和性价比,通过网络行为管理解决方案来分析、记录网络行为以及阻断不当的上网行为,提高网络的安全性和网络带宽利用…