Engineering practice and economic analysis of ozone oxidation wet denitrification technology

SO₂ and NO emitted from coal-fired power plants have caused serious air pollution in China. In this study, a test system for NO oxidation using O₃ is established. The basic characteristics of NO oxidation and products forms are studied. A separate test system for the combined removal of SO₂ and NO_x is also established, and the absorption characteristics of NO_x are studied. The characteristics of NO oxidation and NO_x absorption were verified in a 35 t·h^-1 industrial boiler wet combined desulfurization and denitrification project. The operating economy of ozone oxidation wet denitrification technology is analyzed. The results show that O₃ has a high rate and strong selectivity for NO oxidation. When O₃ is insufficient, the primary oxidation product is NO₂. When O₃ is present in excess, NO₂ continues to get oxidized to N₂O₅ or NO₃. The removal efficiency of NO₂ in alkaline absorption system is low (only about 15%). NO_x removal efficiency can be improved by oxidizing NO_x to N₂O₅ or NO₃ by increasing ozone ratio. When the molar ratio of O₃/NO is 1.77, the NO_x removal efficiency reaches 90.3%, while the operating cost of removing NO_x per kilogram is 6.06 USD (NO₂).     

Reactivity study and kinetic evaluation of CuO-based oxygen carriers modified by three different ores in chemical looping with oxygen uncoupling (CLOU) process

In the chemical looping with oxygen uncoupling (CLOU) process,CuO is a promising material due to the high oxygen carrier capacity and exothermic reaction in fuel reactor but limited by the low melting point.The combustion rate of carbon is faster than the decoupling rate of oxygen carrier (OC).Hence,high tem-perature tolerance and rapid oxygen release rate of CuO modified by three different ores were investi-gated in this study.The kinetics analysis of oxygen decoupling with Cu-based oxygen carriers was also evaluated.Results showed that CuO modified by chrysolite had faster oxygen release rate than that of CuO.Limestone showed obvious positive effect on the oxidization process.The selected OCs could keep stable in at least 20 cycles,for about 1200 min.Shrinking core model (SCM) fitted well for the decoupling process in the temperature range of 1123-1223 K.Reduction rate kinetic information may aid in the development of chemical looping with oxygen uncoupling (CLOU) technologies during reactor design and process modeling.Ternary doped copper oxide with chrysolite and limestone could improve the reactivity of CuO in decoupling and coupling process and also improve the high temperature tolerance.     

The dynamic evolution of aggregated lithium dendrites in lithium metal batteries

Lithium (Li) metal anodes promise an ultrahigh theoretical energy density and low redox potential,thus being the critical energy material for next-generation batteries.Unfortunately,the formation of Li den-drites in Li metal anodes remarkably hinders the practical applications of Li metal anodes.Herein,the dynamic evolution of discrete Li dendrites and aggregated Li dendrites with increasing current densities is visualized by in-situ optical microscopy in conjunction with ex-situ scanning electron microscopy.As revealed by the phase field simulations,the formation of aggregated Li dendrites under high current den-sity is attributed to the locally concentrated electric field rather than the depletion of Li ions.More specif-ically,the locally concentrated electric field stems from the spatial inhomogeneity on the Li metal surface and will be further enhanced with increasing current densities.Adjusting the above two factors with the help of the constructed phase field model is able to regulate the electrodeposited morphology from aggregated Li dendrites to discrete Li dendrites,and ultimately columnar Li morphology.The methodol-ogy and mechanistic understanding established herein give a significant step toward the practical appli-cations of Li metal anodes.     

 基于混合模型的优化低频低压减载方法研究

文中以低频低压情况下保证电压稳定的前提下减载为研究内容,提出了一种基于混合模型的优化低频低压减载方法。该混合模型将遗传算法与人工神经网络相结合,在保证电压稳定的情况下选择合适的节点进行负荷切除。实验结果表明,该方法可以在低频低压情况下使负荷减载量达到最小。     

塑料增韧增强技术现状分析及发展趋势

主要介绍了塑料增韧增强的技术研究现状,并例举了相关增韧增强材料的功能和特性,分析了今后塑料增韧增强发展的方向。     

CFRP与金属结合件盐雾腐蚀试验研究

采用中性盐雾、乙酸盐雾、铜加速乙酸盐雾3种电化学方法研究碳纤维/环氧复合材料与CR4级冷轧钢板的电偶腐蚀行为.比较了CR4级冷轧钢板与碳纤维复合材料紧固件构成偶对时3种盐雾腐蚀试验的电偶腐蚀性能.结果表明在NaCl电解质溶液体系中电偶腐蚀作用对CFRP影响不大,CFRP基本没有受到腐蚀.     

基于二次插值粒子群优化算法的输电网储备项目优选排序策略研究

为解决电网投资过程中,如何在有限的投资金额下,从冗余度较高、关联度较强的各种储备项目中选出能够最大程度解决电网弊端、提升电网整体性能的难点,提出了基于二次插值粒子群优化算法的输电网储备项目优选排序策略.针对输电网储备项目特点,首先建立了一套科学合理的输电网储备项目综合效益量化评价指标体系,构建了输电网储备项目量化评价模型,并利用基于二次插值的粒子群优化算法对输电网组合权重优化模型进行求解.其次通过以单位投资的综合贡献度为基础,构建了输电网储备项目的动态优选排序模型.最后,以某省2019年底形成的网架为基础,以2020年规划负荷为边界,选取"十三五"规划库中2020年规划投产项目进行优选排序,验证所提输电网储备项目优选方法的科学性与合理性.     

架空线路故障快速自动研判系统研究及应用*

基于输电线路雷击故障跳闸频发,而线路运行环境恶劣,导致故障跳闸后巡线工作量大、效率低的问题,开发了一套架空线路故障快速自动研判系统,通过在线监测故障行波的方式快速定位线路故障.该系统已应用于商洛供电公司,并成功诊断了一起故障跳闸事件.     

基于多源多维度用能数据的用户标签萃取方法研究

随着电力行业数字化、智能化水平稳步提升,电力公司利用大数据技术精准识别用户需求、掌握用户用能规律,进而满足用户多样化的用能需求成为营造良好用电体验的关键.为此提出一种基于多源多维度用能数据的用户标签萃取方法,旨在通过采用模糊C均值聚类算法进行标签聚类、用户智能画像,更好支撑用户用电行为掌握、精准营销策略执行,辅助制定电力需求侧响应策略,推动电力服务质效提升.     

多能互补电网中的储能出力协同优化控制策略∗

经过多年发展,除燃煤发电外,风力发电、光伏发电、抽水储能发电取得长足的发展,但输出功率不稳、出力大小不一,致使风光抽水储能发电并没有实现完全并网.对多能互补电网的储能出力情况进行研究,通过分析不同发电系统的特点,以系统出力作为研究对象,利用粒子群算法,给出多能互补电网出力协同优化控制策略,提高多能互补发电效率,具有非常好的实际指导意义.