
提出采用CuO修饰MoTe
2
传感器对变压器内部的故障气体进行在线监测,并基于密度泛函理论对新型掺杂材料和不同表面反应模型开展优化计算,通过计算能带结构、态密度、差分电荷密度,深入揭示变压器中故障气体的吸附和传感机理。研究结果表明:CuO对改善MoTe
2
的电子活性具有正向作用,并大幅增强MoTe
2
材料对变压器故障气体的气敏响应能力,实现变压器的高精度在线监测;在CuO颗粒的修饰下,目标气体分子的吸附由弱物理吸附转变为物理化学吸附,吸附强弱的排序为C
2
H
2
>H
2
>CH
4
,电子性能以及几何结构变化使得吸附后的系统产生不同的电信号,大大提高了监测灵敏度。所提计算结果为研发CuO修饰MoTe
2
传感器提供了数据和理论支撑,以期实现对变压器的智能化在线监测。
Zeng Diyang,Zhang Dongdong.Adsorption and sensing of dissolved gases in transformer oil by Ni-modified h-BN monolayer: A DFT study[J].Chemical Physics Letters,2023.
Li Tao,Pan Suxi,Ma Rui,Sang Tian-Yi,Ma Lie,Wang Maozheng,Zeng Wei,Huang Wuhong,Jiang Xinliang,Yang Guolin.The gas sensing and adsorption properties of XO2 (X = Ti, Zr, Hf) doped C3N towards H2S, SO2, SOF2: A first-principles study[J].Diamond & Related Materials,2022.
Liu Hongcheng,Wang Feipeng,Hu Kelin,Li Tao,Yan Yuyang,Li Jian.The Adsorption and Sensing Performances of Ir-modified MoS2 Monolayer toward SF6 Decomposition Products: A DFT Study[J].Nanomaterials,2021.
Xin He,Yingang Gui,Jufang Xie,Xiong Liu,Qian Wang,Chao Tang.A DFT study of dissolved gas (C 2 H 2 , H 2 , CH 4 ) detection in oil on CuO-modified BNNT[J].Applied Surface Science,2020.
Song Seunghyun,Keum Dong Hoon,Cho Suyeon,Perello David,Kim Yunseok,Lee Young Hee.Room Temperature Semiconductor-Metal Transition of MoTe2 Thin Films Engineered by Strain.[J].Nano letters,2016.
Lezama Ignacio Gutiérrez,Arora Ashish,Ubaldini Alberto,Barreteau Céline,Giannini Enrico,Potemski Marek,Morpurgo Alberto F.Indirect-to-direct band gap crossover in few-layer MoTe?.[J].Nano letters,2015(4).
grid.47840.3f, 0000 0001 2181 7878, Department of Physics, University of California at Berkeley, 94720, Berkeley, California, USA,grid.184769.5, 0000 0001 2231 4551, Materials Sciences Division, Lawrence Berkeley National Laboratory, 94720, Berkeley, California, USA,grid.47840.3f, 0000 0001 2181 7878, Department of Physics, University of California at Berkeley, 94720, Berkeley, California, USA,grid.184769.5, 0000 0001 2231 4551, Materials Sciences Division, Lawrence Berkeley National Laboratory, 94720, Berkeley, California, USA,grid.47840.3f, 0000 0001 2181 7878, Department of Chemistry, University of California at Berkeley, 94720, Berkeley, California, USA,grid.47840.3f, 0000 0001 2181 7878, Department of Physics, University of California at Berkeley, 94720, Berkeley, California, USA,grid.47840.3f, 0000 0001 2181 7878, Department of Physics, University of California at Berkeley, 94720, Berkeley, California, USA,grid.47840.3f, 0000 0001 2181 7878, Department of Physics, University of California at Berkeley, 94720, Berkeley, California, USA,grid.482265.f, 0000 0004 1762 5146, Centro de Física de Materiales CSIC/UPV-EHU-Materials Physics Center, E-20018, San Sebastián, Spain,grid.184769.5, 0000 0001 2231 4551, Materials Sciences Division, Lawrence Berkeley National Laboratory, 94720, Berkeley, California, USA,grid.47840.3f, 0000 0001 2181 7878, Department of Chemistry, University of California at Berkeley, 94720, Berkeley, California, USA,grid.184769.5, 0000 0001 2231 4551, Kavli Energy NanoSciences Institute at the University of California and Lawrence Berkeley National Laboratory, 94720, Berkeley, California, USA,grid.47840.3f, 0000 0001 2181 7878, Department of Physics, University of California at Berkeley, 94720, Berkeley, California, USA,grid.184769.5, 0000 0001 2231 4551, Materials Sciences Division, Lawrence Berkeley National Laboratory, 94720, Berkeley, California, USA,grid.47840.3f, 0000 0001 2181 7878, Department of Physics, University of California at Berkeley, 94720, Berkeley, California, USA,grid.184769.5, 0000 0001 2231 4551, Materials Sciences Division, Lawrence Berkeley National Laboratory, 94720, Berkeley, California, USA,grid.184769.5, 0000 0001 2231 4551, Kavli Energy NanoSciences Institute at the University of California and Lawrence Berkeley National Laboratory, 94720, Berkeley, California, USA.Molecular bandgap engineering of bottom-up synthesized graphene nanoribbon heterojunctions.[J].Nature nanotechnology,2015.
Ruppert Claudia,Aslan Ozgur Burak,Heinz Tony F.Optical properties and band gap of single- and few-layer MoTe2 crystals.[J].Nano letters,2014.
Kim Min-Cheol,Sim Eunji,Burke Kieron.Understanding and reducing errors in density functional calculations.[J].Physical review letters,2013.
Eigler Siegfried,Enzelberger-Heim Michael,Grimm Stefan,Hofmann Philipp,Kroener Wolfgang,Geworski Andreas,Dotzer Christoph,Röckert Michael,Xiao Jie,Papp Christian,Lytken Ole,Steinrück Hans-Peter,Müller Paul,Hirsch Andreas.Wet chemical synthesis of graphene.[J].Advanced materials (Deerfield Beach, Fla.),2013.
Zoran Gajic.Differential Protection for Special Industrial Transformers[J].IEEE Transactions on Power Delivery,2007.
Boese AD.,Handy NC.,Sprik M.,Doltsinis NL..New generalized gradient approximation functionals[J].The Journal of Chemical Physics,2000.
刘子华,曹瑞峰,赵志扬,李哲,娄伟明,陈婷,邢海军.基于碳排放流的综合能源系统碳排放监测方法[J].浙江电力,2023(10).
刘沅玲,王金莉.基于频率跟踪的LED数控恒流驱动电源设计[J].电子器件,2023(05).
燕嚎,陈卓,郝正航,梁耀贤,李亚辉,吴钦木.适用于多能源长输电线系统实时仿真的建模方法[J].电力系统保护与控制,2023(20).
公冶令姣,张大海,武传健,王雪芹,倪平浩.基于测量波阻抗相位特征的三端混合直流线路纵联保护[J].电力系统保护与控制,2023(20).
卢庆辉,尹项根,乔健,尹昕,贺儒飞,马一鸣.基于重复脉冲法的变速抽蓄机组转子绕组短路故障诊断方法[J].电力系统保护与控制,2023(20).
孙标广,李静争,邓旭哲.双重移相控制下的双向全桥DC-DC变换器最小电流应力分段优化控制[J].电力系统保护与控制,2023(20).
黄冬梅,陈欢,王宁,吴志坚,胡伟,孙园.基于自适应图注意力网络的短期用户负荷预测[J].电力系统保护与控制,2023(20).
郑国权,祝恩国,张海龙,刘岩,李琮琮.基于主从博弈的高比例光伏配电台区柔性互联规划[J].电力建设,2024(04).
田芳,王晓茹.《基于机器学习的电力系统安全评估及控制技术》[J].供用电,2023(09).
王士彬,李多,赵娜,谢文龙,黄伟,季鸿宇.基于改进北方苍鹰算法优化混合核极限学习机的变压器故障诊断方法[J].湖南电力,2023(04).
王辉东,姚海燕,郭强,俞啸玲,张旭峰,丛龙坤.基于多尺度卷积神经网络的变压器故障诊断方法[J].电力科学与技术学报,2023(04).
陈鹏,郎需军,国震,杨博,耿行.基于改进BP神经网络和多目标粒子群算法的四回路导线布置优化[J].电力科学与技术学报,2023(04).
朱明,夏宇栋,常凯,王志梁.基于粒子群优化算法的空调负荷灰箱模型辨识[J].电力科学与技术学报,2023(04).
杨鹏,李倩,王硕禾,尉志勇,郭威,符屹男.基于博弈论的交、直流混合配电网容量优化配置研究[J].可再生能源,2023(07).
荀华,韩建春,郭红兵,寇正.基于等效计算的变压器试验结果分析[J].内蒙古电力技术,2023(02).
肖宏磊,留毅,夏红军,缪宇峰,俞啸玲,杨海琦.基于PCA与SSA-LightGBM的油浸式变压器故障诊断方法[J].综合智慧能源,2023(03).
季宁,李世倩,任罡,胡晓丽,陶红鑫,魏蔚,孙吕祎,屠骏,张梦梦,陶锴.基于声发射乐谱化Frechet编码的变电站主变压器基底渗水损伤监测[J].中国测试,2023(02).
董宸,吴强,黄河,章锐,杨秀媛.基于免疫算法的电网拓扑结构识别[J].发电技术,2023(01).
龙思成,黄志鸿.基于多尺度极限融合网络的电力变压器故障诊断方法研究[J].综合智慧能源,2022(09).
刘法志,张晓峰,柴国旭,胡妲,陈广伟.配套新能源建设的煤电灵活性改造研究[J].电力科技与环保,2022(04).
刘铖,王旭,张宇驰.基于负荷模式能量的永磁风机电网功率振荡特性分析[J].东北电力大学学报,2022(04).
苑忠奇,金国彬.基于系统导纳的并网逆变器谐振机理分析[J].东北电力大学学报,2022(04).
0
Views
0
下载量
0
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621