论当前粮食仓储工作中的几个问题

本文结合湖北实际,对粮食仓储工作的现状进行了分析,指出了当前存在而应在“八五”期间加以解决的粮仓建设、粮库改革、科学研究、四无粮仓、人才培训五个问题。提出了粮仓建设的量化意见,讨论了粮库改革的方向、储粮科学研完的重点、坚持四无粮仓和提高人员素质的重要性。     

多虚拟机环境下磁盘写优化机制

在虚拟化环境下,如何在写直达法和写回法之间做出权衡以使系统既具有较好的可靠性又具有较高的磁盘读写性能,是一个亟待解决的问题。本文提出了基于XEN的兼有写直达法和写回法优点的磁盘数据写操作方法。通过修改虚拟机块设备前后端驱动程序,在虚拟机管理器中为每个虚拟机建立块级别的虚拟机磁盘缓存。虚拟机中的应用程序均采取写直达的方式,将数据直接写到位于虚拟机管理器的虚拟机磁盘缓存中。结果表明,该机制能为虚拟机提供高效率的磁盘读写操作,同时,在虚拟机系统突然宕机时也能保证用户数据的完整性和可靠性。     

一种分布式数字海洋云系统研究

海洋数据分布区域广泛且数据量庞大,现有数字海洋系统相对独立,海洋数据信息共享度低,制约了大规模海洋数据的高性能计算。为"数字海洋"系统提供有力的数据支持和计算服务。本文提出一种基于云的分布式数字海洋系统,把不同的海洋数据通过高速网络连接起来建立一个存储云,使用一个专用的网络服务协议,用于高性能广域网络连接的计算机集群所进行的大型分布式数据集的高性能计算。实验结果表明,与现有基于Hadoop分布式数字海洋系统相比,该系统的性能有显著提高、数据高度共享。     

新型陶瓷与熔融盐复合蓄热材料优化组合的数值模拟

将高温熔融盐相变蓄热材料和陶瓷固相蓄热材料进行复合 ,成功地研制成了能快速吸热和放热且蓄热密度高、蓄热量大的新型复合蓄热材料。分别以Al2 O3 ,MgO ,SiC为代表的陶瓷材料与 6 0LiF 40NaF ,5 0LiF 5 0KF ,6 0 .1NaCl 39.9MgCl2 ,LiH等为代表的 10余种高温熔融盐材料为复合研究对象 ,对复合蓄热材料的蓄热密度等与温度、复合材料中熔融盐的含量、材料种类间的关系进行了数值模拟研究 ,得到了对复合材料的优化设计具有指导意义的结论     

铸态及快淬态无钴AB5型贮氢合金的循环稳定性

对AB5型LaxMm1-x(NiMnSiAlFe)49(x=0,0.45,0.75,1.00,摩尔分数)贮氢合金进行了快淬处理,研究了La含量及快淬工艺对合金微观结构及电化学循环稳定性的影响.结果表明:La含量的增加对铸态合金的循环稳定性没有明显影响,但使快淬态合金的循环稳定性下降,且快淬处理能显著提高合金的循环稳定性.当La替代量从0增加到1.00时,经300次充放循环后,铸态合金的容量保持率(Rh)从59.2%增加到59.8%;16 m/s淬速快淬态合金的容量保持率从83.9%下降到65.0%.对于x=0.45的合金,当淬速从0(铸态被定义为淬速等于0)增加到28 m/s时,容量保持率从59.8%增加到75.8%.     

二元稀土系AB5型贮氢电极合金的放电容量与晶胞体积和4f电子浓度的关系

制备了6个系列通式为AαA‘1-αB5的RE(NiCoMnTi)5贮氢电极合金(其中，AαA‘1-α为La，Ce，Pr，Nd4个元素中任意2个的组合)，测定了它们在100次循环中的最大放电容量Cmax及部分合金的晶胞体积Vcell．结果表明：Cmax主要由Vcell决定，Cmax先随Vcell的增大而增加，在Vcell≈85．66x10^-^3。nm^3时达到一极大值，然后又随Vcell的增大而减小；同时，Cmax还与4f电子浓度ne4f／naRE有关，A侧具有相同4f电子浓度的合金其Cmax随4f电子浓度的变化趋势相似．     

电沉积镧镍合金薄膜的电化学贮氢性能研究

利用在水溶液中电沉积的方法制备了LaNi5贮氢合金薄膜。采用XRD方法研究了贮氢合金薄膜在充放电前后相结构的变化，运用扫描电镜观察了合金薄膜的表面形态，通过电化学测试（循环伏安、恒电流充放电）研究其电化学贮氢性能。结果表明，该合金薄膜具有较好的电化学贮氢性能，电化学活性较高，无需活化过程，最高电化学容量可达156mAh／g。     

基于低压储能预操作协同配电终端的实操可靠性提升策略

线路检修后常因接地刀闸未分闸导致合闸操作失败,并可能带来人身安全事故或系统受到严重冲击的问题。基于此提出了一种提升配电终端实操可靠性的低压储能预操协同系统。该系统基于低压大功率储能装置和开关组,并接于配电进出线路接地刀闸和高压电流互感器之间,在高压断路器分闸状态下,实现预合断路器前的实操检测功能,短时投切储能预操组,在此时间内终端完成测量,并构建低压回路电流和高压回路电流比较判据,实现接地刀闸接地和故障未消缺检测功能。仿真结果验证了该系统的有效性。     

GCase and LIMP2 Abnormalities in the Liver of Niemann Pick Type C Mice

The lysosomal storage disease Niemann–Pick type C (NPC) is caused by impaired cholesterol efflux from lysosomes, which is accompanied by secondary lysosomal accumulation of sphingomyelin and glucosylceramide (GlcCer). Similar to Gaucher disease (GD), patients deficient in glucocerebrosidase (GCase) degrading GlcCer, NPC patients show an elevated glucosylsphingosine and glucosylated cholesterol. In livers of mice lacking the lysosomal cholesterol efflux transporter NPC1, we investigated the expression of established biomarkers of lipid-laden macrophages of GD patients, their GCase status, and content on the cytosol facing glucosylceramidase GBA2 and lysosomal integral membrane protein type B (LIMP2), a transporter of newly formed GCase to lysosomes. Livers of 80-week-old Npc1^−/− mice showed a partially reduced GCase protein and enzymatic activity. In contrast, GBA2 levels tended to be reciprocally increased with the GCase deficiency. In Npc1^−/− liver, increased expression of lysosomal enzymes (cathepsin D, acid ceramidase) was observed as well as increased markers of lipid-stressed macrophages (GPNMB and galectin-3). Immunohistochemistry showed that the latter markers are expressed by lipid laden Kupffer cells. Earlier reported increase of LIMP2 in Npc1^−/− liver was confirmed. Unexpectedly, immunohistochemistry showed that LIMP2 is particularly overexpressed in the hepatocytes of the Npc1^−/− liver. LIMP2 in these hepatocytes seems not to only localize to (endo)lysosomes. The recent recognition that LIMP2 harbors a cholesterol channel prompts the speculation that LIMP2 in Npc1^−/− hepatocytes might mediate export of cholesterol into the bile and thus protects the hepatocytes.     

Operational optimization of a building-level integrated energy system considering additional potential benefits of energy storage

As a key component of an integrated energy system (IES), energy storage can effectively alleviate the problem of the times between energy production and consumption. Exploiting the benefits of energy storage can improve the competitiveness of multi-energy systems. This paper proposes a method for day-ahead operation optimization of a building-level integrated energy system (BIES) considering additional potential benefits of energy storage. Based on the characteristics of peak-shaving and valley-filling of energy storage, and further consideration of the changes in the system’s load and real-time electricity price, a model of additional potential benefits of energy storage is developed. Aiming at the lowest total operating cost, a bi-level optimal operational model for day-ahead operation of BIES is developed. A case analysis of different dispatch strategies verifies that the addition of the proposed battery scheduling strategy improves economic operation. The results demonstrate that the model can exploit energy storage’s potential, further optimize the power output of BIES and reduce the economic cost.