2022
DOI: 10.1038/s41598-022-10946-x
|View full text |Cite
|
Sign up to set email alerts
|

Development of computational design for reliable prediction of dielectric strengths of perfluorocarbon compounds

Abstract: The development of robust computational protocols capable of accurately predicting the dielectric strengths of eco-friendly insulating gas candidates is crucial; however, it lacks relevant efforts significantly. Consequently, a series of computational protocols are employed in this study to enable the computational prediction of polarizability and ionization energy of eco-friendly, perfluorinated carbon-based candidates, followed by the equation-based prediction of their dielectric strength. The validation pro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
16
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

3
2

Authors

Journals

citations
Cited by 6 publications
(16 citation statements)
references
References 19 publications
0
16
0
Order By: Relevance
“…Beyond their environmental benefits, a substantial number of these compounds also demonstrate comparable insulating properties. Specifically, in our previous studies, we highlighted that one key parameter to evaluate the insulating performance of fluorocarbon compounds could be their dielectric strength, with candidates exhibiting dielectric strengths close to that of SF 6 being particularly noteworthy. , Besides, other essential factors, such as electron affinity and dielectric constant, can be adopted to assess the insulating properties of these compounds. However, it is crucial to underscore that structural durability must be a fundamental consideration for their application in electrical transmission systems.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Beyond their environmental benefits, a substantial number of these compounds also demonstrate comparable insulating properties. Specifically, in our previous studies, we highlighted that one key parameter to evaluate the insulating performance of fluorocarbon compounds could be their dielectric strength, with candidates exhibiting dielectric strengths close to that of SF 6 being particularly noteworthy. , Besides, other essential factors, such as electron affinity and dielectric constant, can be adopted to assess the insulating properties of these compounds. However, it is crucial to underscore that structural durability must be a fundamental consideration for their application in electrical transmission systems.…”
Section: Resultsmentioning
confidence: 99%
“…Among potential candidates, perfluorocarbon (PFC) compounds have emerged as promising alternative insulating gases to replace SF 6 in various electrical applications primarily owing to the probability of identifying PFC compounds with relatively low GWP. Additionally, PFCs exhibit excellent thermal and electrical performances under a wide range of operating conditions, ensuring the reliability and efficiency of electrical systems . Extensive efforts have been therefore dedicated to improving the other core insulating properties, such as dielectric strength, dielectric constant, and electron affinity, which should meet the guidelines for practical applications. For instance, the dielectric strengths of various PFC compounds have been identified to range from 8.0 to 12 kV/mm with the lowest (highest) values for C 10 F 18 (C 2 F 6 ) . Recently, the 3M company developed various NOVEC gases with the aim of replacing the conventional SF 6 , represented by NOVEC-4710 gas (C 3 F 7 CN) .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The Clausius−Mossotti equation, which describes the relation between the polarizability (α) and the dielectric constant (ε r ), can be defined as follows. 15,16…”
Section: ■ Computational Methodsmentioning
confidence: 99%
“…19,20 Note that the DFT-calculated polarizability and ionization energy were validated for 54 and 48 organic compounds in our previous study, respectively. 15 Computational Parameterization of Designed Protocols. Each computational protocol was parametrized considering two different metrics, namely, root-mean-squared deviation (RMSD) and Spearman's rank correlation coefficient (SRCC).…”
mentioning
confidence: 99%