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基于密度泛函理论的SF_6潜在替代气体筛选
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  • 英文篇名:Selection of Potential Substitutes for SF_6 Based on Density Functional Theory
  • 作者:陈庆国 ; 邱睿 ; 林林 ; 程嵩 ; 张聪
  • 英文作者:CHEN Qingguo;QIU Rui;LIN Lin;CHENG Song;ZHANG Cong;MOE Key Laboratory of Engineering Dielectrics and Its Application, Harbin University of Science and Technology;School of Electrical Engineering and Automation, Wuhan University;
  • 关键词:绝缘强度预测 ; 潜在绝缘气体 ; 环保型管道输电 ; 密度泛函理论 ; 量子化学
  • 英文关键词:insulation strength prediction;;potential insulation gases;;eco-friendly gas insulation line;;density functional theory;;quantum chemistry
  • 中文刊名:GDYJ
  • 英文刊名:High Voltage Engineering
  • 机构:哈尔滨理工大学工程电介质及其应用教育部重点实验室;武汉大学电气与自动化学院;
  • 出版日期:2019-04-29
  • 出版单位:高电压技术
  • 年:2019
  • 期:v.45;No.317
  • 语种:中文;
  • 页:GDYJ201904003
  • 页数:8
  • CN:04
  • ISSN:42-1239/TM
  • 分类号:24-31
摘要
目前在研的SF_6替代气体存在沸点θ_b过高、与缓冲气体混合后绝缘强度E_R降低等问题,仍需要寻找新型替代气体。为此,基于气体中载流子碰撞过程分析,找出第1电离能ε、分子电负性χ和分子直径D_w3个与气体绝缘强度相关的参数,并采密度泛函理论(DFT)下的B3LYP方法及6-311G+(d,p)基组对37种气体的上述参数进行计算。通过多元非线性拟合得到了气体绝缘强度预测模型,模型可决系数R~2达到0.90;并根据10个未代入拟合的气体绝缘强度数据对预测模型进行了校验。结果显示,在对弱极性非对称分子的D_w进行修正后,模型的准确性和适用性得到提高,R~2可达0.85。通过对θ_b已知的待选气体进行E_R的预测,并根据替代潜能因子Kp,从137种待选气体中筛选出了5种具有较高替代潜能的绝缘气体。
        At present, the substitutes of SF_6 under investigation still have several problems such as possessing high boiling points θ_b and low insulation strengths E_R after being mixed with buffer gases. Hence the new substitutes are still need to be found. Consequently, the parameters such as the first ionization energy ε, electronegativity χ,and the molecule diameter D_w, which are highly correlated with the electric insulation strength, were selected by the analysis of different collision processes in the gas. Then, the parameters of 37 kinds of molecules were calculated and modified by the B3 LYP method in density functional theory with 6-311 G +(d, p) basic set. The predicting formula of insulation strength was fitted by a multivariate linear fitting method with the determination coefficient R~2 of 0.90. To verify the accuracy of predictions, the electrical insulation strengths of 10 kinds of gaseous molecules' without the adoption in regression were introduced for the verification of model accuracy. The result shows that, with rectifying molecule diameter D_w of weak polar asymmetric molecules, the prediction model has higher accuracy and applicability with R~2 of 0.85. The E_R of 137 candidates whose θ_b are experimentally tested are predicted, and five kinds of gases with high replacement potential were selected by the alternative potential factor Kp based on the compatibility between θ_b and E_R.
引文
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