基于分布型电力系统的 PSO 优化设计

优化了传统粒子群算法，运用了混沌算法对粒子做初始化，优化了传统粒子群算法的收敛特性，并在算法的优化过程中，增加了混沌干扰元素对整体最优化极值做混沌干扰，将符合杂交几率的优化粒子做杂交处理，提高了粒子群的种类，增强了粒子群算法的搜寻水平。并通过IEEE33节点的分布型电力系统做无功优化仿真验证，通过比较，验证了优化算法的优越性与准确性。     

γ-Al2O3负载多金属复合催化剂选择性催化还原烟气脱硝

以γ-Al₂O₃作为载体，先后负载CeO₂，MnC₂O₄，Fe（NO₃）₃，CrO₃，Ni（NO₃）₂，NH₄VO₃等多种金属组分制备γ-Al₂O₃负载多金属复合催化剂，并用于模拟烟气的选择性催化还原脱硝。通过SEM和XRD技术对催化剂进行了表征。表征结果显示：Fe，Mn，Cr的添加能增加催化剂的低温催化活性、提高催化剂的N₂选择性;γ-Al₂O₃对活性金属氧化物的负载效果良好。实验结果表明：各金属化合物的最佳加入量为 w（MnC₂O₄·2H₂O）=20%，w（Fe（NO₃）₃·9H₂O）=15%，w（CrO₃）=10%，w（Ni（NO₃）₂·6H₂O）=5%，w（NH₄VO₃）=10%，w（CeO₂）=5%，w（γ-Al₂O₃）=35%;以在最佳正交实验条件下制得的γ-Al₂O₃负载多金属复合物为催化剂，在脱硝反应温度为205 ℃的条件下，NO转化率为96.7%;γ-Al₂O₃负载多金属复合催化剂经5次重复使用，NO转化率仍可稳定在94%左右。     

甘肃省风力发电现状及发展对策

介绍了甘肃省的风力资源及风力发电的发展现状，重点阐述了白银地区、玉门地区、酒泉瓜州、金昌地区、敦煌地区和武威地区等几个具有代表性地区的风能资源优势及风电建设情况，指出了甘肃省风力发电在技术和政策等方面目前还存在的主要问题，分析了产生这些问题的原因，提出了促进甘肃省风力发电事业发展的对策。     

Deployment of parabolic trough concentrated solar power plants in North Africa – a case study for Libya

The study addresses the potential of using concentrated solar power plants (CSPs) as a sustainable alternative of clean energy generation in the Mediterranean region and, in particular, in its North Africa shore. This location presents attractive conditions for the installation of CSPs, in particular high solar irradiation, good manpower concentration, and proximity and availability of water resources for condenser cooling. Energetic, exergetic, and economic analyses were conducted taking into consideration a particular type of CSPs - the parabolic trough concentrated solar power plant, which incorporates the most proven technology and it is already used in Southern Europe (Spain). In addition, the study considered the impact of project financing and incentives on the cost of energy. The combination of higher values for performance and potentially lower levelized cost of electricity (LCE) for the North Africa Mediterranean Rim than the South of Spain region can yield a very favorable return for the invested capital. Tripoli compared to Almeria presented superior performance and potentially lower LCE values ($0.18/kWh versus $0.22/kWh). This is significant, even when it is taken into consideration the fact that the plant in Tripoli, despite a relatively modest capacity factor of 34%, has a large gross power output of 173,886 MWhe. In addition, the implementation at the Tripoli location of a plant similar to the Anadsol plant has a slight advantage (2–3%) in terms of overall efficiency.     

Using environmental and geographic data to optimize ex situ collections and preserve evolutionary potential

Maintenance of biodiversity through seed banks and botanical gardens, where the wealth of species’ genetic variation may be preserved ex situ, is a major goal of conservation. However, challenges can persist in optimizing ex situ collections if trade-offs exist among cost, effort, and conserving species evolutionary potential, particularly when genetic data are not available. We evaluated the genetic consequences of population preservation informed by geographic (isolation by distance [IBD]) and environmental (isolation by environment [IBE]) distance for ex situ collections for which population provenance is available. We used 19 genetic and genomic data sets from 15 plant species to assess the proportion of population genetic differentiation explained by geographic and environmental factors and to simulate ex situ collections prioritizing source populations based on pairwise geographic distance, environmental distance, or both. Specifically, we tested the impact prioritizing sampling based on these distances may have on the capture of neutral, functional, or putatively adaptive genetic diversity and differentiation. Individually, IBD and IBE explained limited population genetic differences across all 3 genetic marker classes (IBD, 10–16%; IBE, 1–5.5%). Together, they explained a substantial proportion of population genetic differences for functional (45%) and adaptive (71%) variation. Simulated ex situ collections revealed that inclusion of IBD, IBE, or both increased allelic diversity and genetic differentiation captured among populations, particularly for loci that may be important for adaptation. Thus, prioritizing population collections based on environmental and geographic distance data can optimize genetic variation captured ex situ. For the vast majority of plant species for which there is no genetic information, these data are invaluable to conservation because they can guide preservation of genetic variation needed to maintain evolutionary potential within collections.     

污水处理厂设备维护管理优化研究

以JL污水处理厂设备管理优化过程为例,充分吸取LCC,TPM中的先进思想,以设备运行可靠性及设备维护经济性为追求目标,建立了设备管理优化体系。流程体系上,通过建立作业指导文件,建立标准化维修程序,对于操作过程及时进行记录,建立可视化、可追溯的管理方法;指标体系上,根据设备重要性及运行状况,确定设备风险指数,分级管理;建立控制指标,并动态调整;管控体系上,建立设备“户口”,对设备的维护、保养、使用等信息进行全面登记;考核设备维护的全面性、及时性、可靠性、合规性;重视设备维护的预计与预警;技术体系上,通过设备监测仪器的使用,对设备运行状况定量化。通过不断推进设备预防性维护工作,设备完好率不断提升,仪表完好率从2016年的97.34%,96.55%水平,分别提升至99.08%,98.72%;维护费用也保持在较低水平,检修费与资产比例在实施的前两年分别降至1.49%,0.85%,实现了污水处理厂节能降耗及运行可靠性的强化。     

Assessment of the effect of technical and management characteristics on the frequency of release from piping: An application to a gas storage facility

The assessment of the frequencies of release from piping due to losses of containment is an essential step in the preparing Safety Reports, drawn up as required by the so-called “Seveso” Directive. These are usually calculated starting from the frequencies of random rupture included in international databases and are not plant-specific, furthermore, the quantification of the effect of the safety management system of the facility is not easy. A simple and flexible approach quantifying technical and management characteristics of the plant has been proposed by Milazzo and co-workers in 2010; it is based on the modification of the frequency taken from literature, through the use of the percentages of failure causes actually possible in that plant, and the judgment about their management. The data about the failure causes are taken from the literature and modified by using corrective factors to adapt them to the industrial context. To make possible the application of the method to a large number of major-hazard industry types, some aspects of the approach needed to be improved; these have been identified during a development project coordinated by RINA Consulting, on behalf of Saipem, with the collaboration of the University of Messina. The improvement of the approach focused on two main points, the development of a method to calculate the corrective factors for the failure causes associated with corrosion and erosion phenomena and the strengthening of the methodology for the formulation of the judgment about the safety management. This paper illustrates the fully improved method, as well as an application to a typical gas storage plant.     

象山港国华电厂强增温海域浮游动物群落结构和多样性的时空特征

为探明电厂强增温海域浮游动物群落结构和多样性的时空特征,于2011年在象山港国华电厂附近海域,采用浮游生物Ⅱ型网(网目160μm)进行10站位2重复的浮游动物季节性采样.结果表明,共识别出62种浮游动物(含幼体),平均丰度为9 531.1 ind.m-3.该海域浮游动物群落主要由桡足类和浮游幼体类组成,且以浮游幼体类为主,比例高达66.6%.相似性分析显示,各月间浮游动物群落结构差异极显著(P<0.01),控制群落结构的优势种有18种,最重要的判别种有瘦尾胸刺水蚤Centropages tenuiremis、大同长腹剑水蚤Oithona similis、伪长腹剑水蚤Oithona fallax、克氏纺锤水蚤Acartia clausi、长尾基齿哲水蚤Clausocalanus furcatus、针刺拟哲水蚤Paracalanus aculeatus和小拟哲水蚤Paracalanus parvus.GLM分析显示,月份间的多样性指数也存在极显著差异(P<0.01),经计算,各多样性指数随水温增加而下降的拐点水温范围为20.31～22.31℃.在断面上,离排水口0.2 km断面(D02)的平均水温比2 km断面高2.16℃.受温度影响,主要优势种如瘦尾胸刺水蚤和大同长腹剑水蚤倾向于向D02断面移动,克氏纺锤水蚤、尤其是大型浮游动物倾向于远离排水口,并向1.2 km断面聚集,使D02断面的种类数最少(33种)、丰度最低(5 522.8 ind.m-3),而1.2 km断面的种类数(53种)和丰度(16 491.0 ind.m-3)最高;同时,D02断面的多样性指数也明显低于其它断面.经线性回归分析,海域增温使多样性指数极显著下降(P<0.01),每增温1℃浮游动物丰富度下降12.3%.     

基于BERT-BILSTM-CRF模型的电力行业事故文本智能分析*

为解决电力行业事故报告文本较长、语义复杂,难以进行有效文本识别问题,提出1种以BERT作为底层的预训练模型,并设计1种双重注意力机制编码器,结合BILSTM-CRF深度挖掘事故文本语义特征,从而实现文本智能分析。首先构建电力词典,通过对BERT预训练,进行BIO标注,然后引入BILSTM-CRF模型实现对文本标签智能分类,最后将该模型与现行其他4种深度学习模型进行对比。研究结果表明:该模型智能识别精确率、召回率及F1值(查准率)均达到约97%,较其他4种模型中效果最好的模型分别提高0.02,0.03,0.02。研究结果可为电力行业事故报告文本分析提供1种新思路。     

江苏省300MW以上燃煤电厂汞排放现状分析

基于2012年江苏省10家典型燃煤电厂相关数据,分析了影响烟气中汞(Hg)排放浓度的因素。其中电厂负荷、烟气净化设施、燃烧炉类型等会直接影响烟气中Hg的排放浓度,而原煤中Hg的含量与烟气中Hg的浓度没有直接的关系。通过模型对江苏省现有300 MW以上燃煤电厂Hg排放量进行了估算,2012年Hg排放总量约为7.307 t。通过反距权重插值进行分析,发现在区域分布上江苏省整体呈现出南部高于北部的趋势。