浅谈光伏发电运维及影响发电因素

随着科技的发展,对于不同能源的需求也逐渐增加,我国很多资源都面临紧缺的危险.在电力开发领域,为了满足社会发展和不同的需求,需要在电能开发方面进行分析和探索.光伏发电是目前也是较为环保、高效的能量转化技术,将太阳能通过半导体界面的光生伏特效应作用,将光转化为电,极大地促进了电能的开发和与利用.目前很多光伏发电设备都在不断地生产和创新当中,为了更好地促进科技创新和能源开发,本文在光伏发电的运维和影响发电因素方面进行了如下分析,并对发展光伏发电提出了一些建议.

浅谈光伏发电运维及影响发电的因素

基于当下能源危机以及环境恶化问题日益加剧的背景下,新能源开发和利用力度逐渐加大,与此同时,随着国家政策的大力扶持,使得作为新型清洁能源主力军的太阳能光伏发电开始得到迅猛发展。目前,太阳能光伏发电已经广泛应用于生活生产中,然而,在光伏发电技术快速发展的过程中,一些问题也随之暴露,即以往电力企业的运维管理模式已经与当下新形势不符,此时必须要注重运维管理工作的更新优化,如此才能为光伏电站正常运行提供保障,确保预期收益目标切实达成。与此同时,也要重点考虑光伏发电效率偏低的问题,避免因该方面因素给光伏发电的全面发展造成制约。

液化天然气冷能发电的影响因素分析

LNG冷能发电是LNG接受站冷能利用的主体项目之一,其发电效率的多少对于接受站的正常运行具有重要作用。本文运用了Aspen plus软件模拟分析了影响冷能发电的因素,对于优化发电流程具有重要作用。

圆环薄膜型介电弹性体换能器发电量影响因素研究

介电弹性体是一种新型的柔性智能材料,与风能、水能、潮汐能相结合,可以用来收集电能量。为了研究影响圆环薄膜型介电弹性体换能器发电量的因素,首先在恒电荷工作方式下,通过对圆环薄膜型介电弹性体换能器的数学模型进行分析,在不考虑内部损耗的情况下,确定了介电弹性体换能器发电量影响因素,然后做初步试验确定各因素对发电量影响的规律。最后通过IBM SPSS Statistics 25软件设计正交试验来确定介电弹性体换能器发电量影响因素的主次顺序。研究结果表明:介电弹性体换能器发电量影响因素的主次顺序分别为固定介电弹性体薄膜的内框半径和外框内半径长度的比例、偏置电压、柔性电极材料、拉伸位移。

国内外生活垃圾发电现状及相关制约因素

垃圾焚烧发电在相关国家已有很成熟的发展,国内尚处于起步阶段,且存在很多制约因素。大部分城市经济实力欠佳,垃圾发电不宜一哄而上,只能在有条件的城市先试点。

镇海炼化烟机发电的探索与实践

介绍了中国石化镇海炼化分公司的300×104t/a催化裂化联合装置的三机组参数及运行情况,从机组效率、机组机械性能、机组的完全控制能力和工艺参数等方面分析了机组未发电的原因。机组改造后,优化了主风机出口到烟机入口线路压降、防喘振裕度、烟机出口背压等参数,实现了持续发电,最大发电功率达800kW,平均为500kW。

基于Leaky-ESN的光伏发电输出功率预测

利用PVSYSTEM系统产生的数据分析了光伏发电系统输出功率的主要影响因素,并且建立了基于泄露积分型回声状态网(Leaky-ESN)对光伏发电系统输出功率的预测模型。Leaky-ESN比起其他的神经网络具有训练方法简单,预测精度高的优点,因此将光伏发电影响因素的历史数据作为输入和训练样本,对模型输出功率进行预测。仿真结果表明,Leaky-ESN具有很高的预测精度。

远离电网的农牧民用电问题及其解决方案研究

远离常规高压电网的农牧民的用电问题是社会主义新农村建设中的一个重要问题,也是关系到这部分特殊人群生活质量等民生的重要问题。因地制宜充分利用当地资源和能源优势,发展离网型可再生能源发电系统是解决其用电问题的基础。但是,支付能力低、技术维护的非专业性和政府政策的不连续性等因素严重制约了可再生能源发电系统在解决这部分特殊人群用电问题中所起的作用,针对上述阻碍因素,提出一种全新的解决方案——能源合同管理模式,并结合实例对这种模式的组织实施、补贴资金来源和财务模型进行了具体的分析。这种模式能够很好地解决上述问题,具有广阔的应用前景。

Multi-component opportunistic maintenance optimization for wind turbines with consideration of seasonal factor

Aiming at wind turbines,the opportunistic maintenance optimization is carried out for multi-component system,where minimal repair,imperfect repair,replacement as well as their effects on component’s effective age are considered.At each inspection point,appropriate maintenance mode is selected according to the component’s effective age and its maintenance threshold.To utilize the maintenance opportunities for the components among the wind turbines,opportunistic maintenance approach is adopted.Meanwhile,the influence of seasonal factor on the component’s failure rate and improvement factor’s decrease with the increase of repair’s times are also taken into account.The maintenance threshold is set as the decision variable,and an opportunistic maintenance optimization model is proposed to minimize wind turbine’s life-cycle maintenance cost.Moreover,genetic algorithm is adopted to solve the model,and the effectiveness is verified with a case study.The results show that based on the component’s inherent reliability and maintainability,the proposed model can provide optimal maintenance plans accordingly.Furthermore,the higher the component’s reliability and maintainability are,the less the times of repair and replacement will be.

Road-Spine versus Road-Tube： Roads as Space Generators

Arteries devoted to sustain streams of users, resources and debris, are a foremost factor and pre-condition of the development of urban areas and of the transformation of landscapes. Roadscapes reflect outcomes related to super urbanization tendencies. Often conceived as isolated tubes, roads cut and obscure form, structure, biotic and abiotic factors of sites, urban fabrics and spaces. A broad vision of landscape is a basis for reconceiving roads. The concept of road-spine emerges： the road is conceived as the basis of a bundle of routes, nodes, surfaces, poles and tiles, devised to frame and shape a mosaic of open spaces, crops, farms, stores, basins and service areas. The road-spine entails the idea of a permeable infrastructure devised to integrate diverse functions： from serving various forms of motion, by ordering an isotropic grid of routes, to framing a porous urbanscape; from disposing surfaces meant to preserve biocenosis and biotopes, to favoring osmosis amid land uses. It also prefigures a distribution of land uses dependent on site vocations, and a mosaic of scenarios open to encounter, evasion, rest, amusement, participation, and to spontaneous practices of space.

Detection of solar radio burst intensity based on a mod ified multifactor SVM algorithm

To realize the automatic detection of solar radio burst(SRB)intensity,detection based on a modified multifactor support vector machine(SVM)algorithm is proposed.First,the influence of SRB on global navigation satellite system(GNSS)signals is analyzed.Feature vectors,which can reflect the SRB intensity of stations,are also extracted.SRB intensity is classified according to the solar radio flux,and different class labels correspond to different SRB intensity types.The training samples are composed of feature vectors and their corresponding class labels.Second,training samples are input into SVM classifiers to one-against-one training to obtain the optimal classification models.Finally,the optimal classification model is synthesized into a modified multifactor SVM classifier,which is used to automatically detect the SRB intensity of new data.Experimental results indicate that for historical SRB events,the average accuracy of SRB intensity detection is greater than 90%when the solar incident angle is higher than 20°.Compared with other methods,the proposed method considers many factors with higher accuracy and does not rely on radio telescopes,thereby saving cost.

Wind Turbine Selection Criteria： A Customer Perspective

Selection of the wind turbine manufacturer is naturally an important issue for wind energy companies when they build new wind farms. This paper describes the main factors by which wind energy companies choose their turbine manufacturers in a selected case region in Finland. The study was conducted using semi-structured interviews, for which the experts and decision makers of selected wind energy companies formed the focus group. During the analysis of the results, it became clear that it was not possible to form a detailed and prioritized list of selection criteria, but still some general themes emerged. The main theme was the manufacturer and product reliability, and then the production volume, cost factors, availability factors, and the organization of maintenance in this order. Interestingly, the arctic conditions of the selected case region did not play any significant role.

On S-Semipermutable Subgroups of Finite Groups

Let d be the smallest generator number of a finite p-group P and let Md(P) = {P1,...,Pd} be a set of maximal subgroups of P such that ∩di=1 Pi = Φ(P). In this paper, we study the structure of a finite group G under the assumption that every member in Md(Gp) is S-semipermutable in G for each prime divisor p of |G| and a Sylow p-subgroup Gp of G.