Prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptors
Buffer gas is often mixed with insulation gas to reduce the greenhouse gas consumption. Mixing of different gases could lead to the synergistic effect of electrical insulation strength. In a previous effort, breakdown experiments were used for buffer gas selection. However, the experiment was expens...
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2024-12-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0244333 |
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| author | Rui Wu Shuai Yang Naonao Zhang Jixiong Xiao |
| author_facet | Rui Wu Shuai Yang Naonao Zhang Jixiong Xiao |
| author_sort | Rui Wu |
| collection | DOAJ |
| description | Buffer gas is often mixed with insulation gas to reduce the greenhouse gas consumption. Mixing of different gases could lead to the synergistic effect of electrical insulation strength. In a previous effort, breakdown experiments were used for buffer gas selection. However, the experiment was expensive and time consuming, so there is a necessity to investigate the microscopic descriptor that influences the insulation strength synergistic effect. Thus, six kinds of gas mixture were studied in this paper, namely, SF6/CF4, SF6/N2, C4F7N/CO2, C4F7N/N2, c-C4F8/CO2, and c-C4F8/N2. The molecular and dimer of these gas mixtures were analyzed by the B3LYP-D3 method and 6-311G(d, p) basis set. Finally, a prediction model for the synergetic effect coefficient was established based on the Gibbs free energy change from dimer formation, the volume of the dimer, the maximum of electrostatic potential, the positive average potential, and the positive potential variance. The synergetic effect coefficient calculated by the prediction model is consistent with the experiment result, with a root-mean-square error of 3.27 × 10−4, a minimum error of 1.42%, a maximum error of 17.30%, and an average error of 6.85%. |
| format | Article |
| id | doaj-art-522ecd2590d947b9b3e2e17b42b51ce5 |
| institution | DOAJ |
| issn | 2158-3226 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | AIP Publishing LLC |
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| series | AIP Advances |
| spelling | doaj-art-522ecd2590d947b9b3e2e17b42b51ce52025-08-20T02:56:31ZengAIP Publishing LLCAIP Advances2158-32262024-12-011412125019125019-910.1063/5.0244333Prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptorsRui Wu0Shuai Yang1Naonao Zhang2Jixiong Xiao3Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, ChinaHubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, ChinaState Grid Huanggang Power Supply Company, Huanggang 438000, ChinaHubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, ChinaBuffer gas is often mixed with insulation gas to reduce the greenhouse gas consumption. Mixing of different gases could lead to the synergistic effect of electrical insulation strength. In a previous effort, breakdown experiments were used for buffer gas selection. However, the experiment was expensive and time consuming, so there is a necessity to investigate the microscopic descriptor that influences the insulation strength synergistic effect. Thus, six kinds of gas mixture were studied in this paper, namely, SF6/CF4, SF6/N2, C4F7N/CO2, C4F7N/N2, c-C4F8/CO2, and c-C4F8/N2. The molecular and dimer of these gas mixtures were analyzed by the B3LYP-D3 method and 6-311G(d, p) basis set. Finally, a prediction model for the synergetic effect coefficient was established based on the Gibbs free energy change from dimer formation, the volume of the dimer, the maximum of electrostatic potential, the positive average potential, and the positive potential variance. The synergetic effect coefficient calculated by the prediction model is consistent with the experiment result, with a root-mean-square error of 3.27 × 10−4, a minimum error of 1.42%, a maximum error of 17.30%, and an average error of 6.85%.http://dx.doi.org/10.1063/5.0244333 |
| spellingShingle | Rui Wu Shuai Yang Naonao Zhang Jixiong Xiao Prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptors AIP Advances |
| title | Prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptors |
| title_full | Prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptors |
| title_fullStr | Prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptors |
| title_full_unstemmed | Prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptors |
| title_short | Prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptors |
| title_sort | prediction on electrical insulation synergistic effect of gas mixture based on dimer microscopic descriptors |
| url | http://dx.doi.org/10.1063/5.0244333 |
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