循环流化床烟气脱硫塔内烟气露点的测定

文中进行了循环流化床烟气脱硫技术工业试验研究 ,烟气流量为 20 000nm³/h。试验中用阻容式传感器在线监测和测量烟气干湿球温度两种方法对烟气露点进行测定。在测量烟气的干湿球温度确定烟气的露点时 ,设计了一种湿球温度的测量方法 ,提高了测量的精度。根据两种测量方法得到的烟气露点值 ,提出了一种数据修正方法 ,即取两种方法测量结果的偏差平方和最小 ,用最小二乘法对两组数据进行线性拟合。利用拟合结果对试验中在线测量的烟气露点进行修正 ,得到较准确的反应塔出口的烟气露点值。     

酸灰耦合机制对烟道换热管传热特性的影响试验

为实现对酸露点的准确预测,设计并搭建了一套针对锅炉尾部烟道烟气酸露点测量系统;并在某电厂1 000 MW空预器出口烟道进行就地测量。结果表明:在同一工况下,随着试验温度降低,换热管努赛尔数下降,管壁及腐蚀片积灰与腐蚀程度逐渐加深。进而将所测得的工程酸露点与在同一煤种下利用已有经验公式所得的酸露点进行对比分析。由于存在积灰对酸液的耦合作用,工程酸露点通常比热力学酸露点低约40℃,能够较好地反映工程实际烟气运行情况,对深度余热利用系统的设计和运行有一定的理论指导意义。     

烟气余热回收技术在电厂中的应用

介绍了电厂烟气余热回收利用技术,酸露点的计算方法.利用烟气余热加热除盐水,把锅炉尾部烟气温度降低到接近酸露点,最大程度的提高锅炉效率,降低煤耗,增加发电量,降低CO.与SO2排放以达到节能与环保目的.     

烟气酸露点的测量和预测模型分析

防止电站锅炉尾部金属对流受热面的腐蚀粘污和进一步提高锅炉热效率都对锅炉尾部烟气酸露点预测的准确性提出了更高要求。大量电站锅炉机组长期运行经验表明,目前常用的酸露点模型的预测值普遍偏高。该文在前期酸露点测量方法筛选工作的基础上,设计搭建了两种不同的烟气酸露点测量装置,并分别对不同烟气条件下的酸露点进行测量;结合烟气酸露点与其影响因素之间的热力学理论关联式进一步推导出酸露点的预测模型。不同酸露点预测模型的计算结果与相同烟气条件下的实验测量结果的比较表明:相比于抽气式测量的实验结果,插入式测量装置的测量结果对烟气中水蒸气分压的变化更为敏感。     

单片机在同位素法露点传感器中的应用

研制了一种精确可靠的同位素法露点传感器 ,为提高传感器的温度性能 ,利用单片机对传感器进行温度补偿 ,取得了理想的测量和控制效果     

化工热侧电除尘器酸露点计算与酸雾控制

化工热侧电除尘器运行过程中存在系列问题,电晕极、集尘极板出现腐蚀变形,除尘效率波动较大.本文通过探讨其影响作用机制,认为其关键在于烟气的酸露点确定,酸雾的控制,只有全面分析沸腾炉烟气酸露点,酸雾的成因及变化规律,采取针对性的措施,才能保证电除尘器的高效运行.     

基于电容传感器的低露点湿度仪研制

该文在介绍氧化铝电容式传感器测量露点原理的基础上，详细论述了低露点湿度测量的几个重要问题：温度与压力补偿、传感器的稳定性及校正方法和系统测量问题，最后给出了温度修正经验公式．测试表明，该湿度仪精度高、性能稳定．     

酸灰耦合机制对烟道换热管传热特性的影响

为实现对酸露点的准确预测,设计并搭建了一套针对锅炉尾部烟道烟气酸露点测量系统;并在某电厂1 000 MW空预器出口烟道进行就地测量。结果表明:在同一工况下,随着试验温度降低,换热管努赛尔数下降,管壁及腐蚀片积灰与腐蚀程度逐渐加深。进而将所测得的工程酸露点与在同一煤种下利用已有经验公式所得的酸露点进行对比分析。由于存在积灰对酸液的耦合作用,工程酸露点通常比热力学酸露点低约40℃,能够较好地反映工程实际烟气运行情况,对深度余热利用系统的设计和运行有一定的理论指导意义。     

同位素法露点检测仪

介绍一种采用双α放射性同位素检测露点的方法。使用金硅势垒探测器及热电式致冷器构成传感器，并利用无模型控制器进行控制，实现气体露点的在线检测     

超低露点环境营造策略与实验

超低露点环境营造和控制是目前困扰低湿环境实验研究的难点之一，现有技术在营造干燥环境时，难以实现露点温度的精确控制，尤其是在超低露点环境下的控制调节。因此，提出一种超低露点环境营造策略，采用“置换+净化配气法”实现超低露点环境的控制调节，设计并搭建超低露点环境营造实验台，开展相关实验研究。结果表明：该实验台可完成水蒸气体积分数为10×10-6~100×10-6的超低露点环境营造，获得了不同注射量、时间等因素下水蒸气变化增长规律；验证了超低露点环境营造实验台的可靠性和稳定性，实现了不同干燥程度的环境营造。研究成果解决了超低露点环境营造难、难以精确控制的问题，为类似的人工环境营造提供借鉴。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.