Early Detection of Sulfur Hexafluoride Leakage in Substation Based on Numerical Simulation and Finite Volume Method
DOI:
https://doi.org/10.13052/dgaej2156-3306.405612Keywords:
Numerical simulation, substation, sulfur hexafluoride, concentration, leak diameterAbstract
Sulfur hexafluoride (SF6) is an excellent insulating gas that is widely used in substations. However, it poses a threat to worker safety in the event of a leakage. Therefore, it is crucial to construct an accurate early-warning detection system for leaks to ensure the safe operation of substations. In this study, taking a substation as an example, the key parameters affecting SF6 gas diffusion were analyzed by novel numerical simulation model. On this basis, combined with the finite volume method, different leakage scenarios are simulated. Under different leakage conditions, SF6 could accumulate significantly on the ground. Its volume concentration could exceed 1000 ppm, and the duration of the high concentration state could be longer than in the horizontal leakage scenario. The method proposed in this study can effectively reduce the impact of leakage accidents, and provide a theoretical basis for the early monitoring and detection of SF6 leakage.
Downloads
References
Elmasry Y, Chaturvedi R, Mamun K, Hadrawi S K, Smaisim G F. Numerical analysis and RSM modeling of the effect of using a V-cut twisted tape turbulator in the absorber tube of a photovoltaic/thermal system on the energy and exergy performances of the system[J]. Engineering Analysis with Boundary Elements, 2023, 155(1): 340–350.
Hiremath R, Moger T. Improving the DC-link voltage of DFIG driven wind system using modified sliding mode control. Distributed Generation and Alternative Energy Journal, 2023, 38(3): 715–742.
Moretti L, Simacek P, Advani S G. Efficient numerical modeling of liquid infusion into a porous medium partitioned by impermeable perforated interlayers. International Journal for Numerical Methods in Engineering, 2023, 124(6): 1235–1252.
Corti M, Antonietti P F, Dede’ L, Quarteroni A M. Numerical modeling of the brain poromechanics by high-order discontinuous Galerkin methods. Mathematical Models and Methods in Applied Sciences, 2023, 8(33): 1577–1609.
Li H, Hao T, Li Z, Zhao E, Wang C, Xu L. Research on a self-coordinated optimization method for distributed energy resources targeting risk mitigation. Distributed Generation and Alternative Energy Journal, 2024, 39(3): 659–690.
Mehnert M, Oates W, Steinmann P. Numerical modeling of nonlinear photoelasticity. International Journal for Numerical Methods in Engineering, 2023, 124(7): 1602–1619.
Zhou Z, Li S, Gao X. Numerical modeling of thermal behavior of melt pool in laser additive manufacturing of Ni-based diamond tools. Ceramics International, 2022, 48(10): 14876–14890.
Kunnoth S, Mahajan P, Ahmad S, Bhatnagar N. Compressive strain measurements in porous materials using micro-FE and digital volume correlation. The Journal of Strain Analysis for Engineering Design, 2022, 57(5): 323–339.
El Jery A, Satishkumar P, Salman H M, Khedher K Ml. Comparison of different approaches for numerical modeling of nanofluid subcooled flow boiling and proposing predictive models using artificial neural network. Progress in Nuclear Energy, 2023, 156(2): 104540–104551.
Maranzoni A, Tomirotti M. New formulation of the two-dimensional steep-slope shallow water equations. Part II: Numerical modeling, validation, and application. Advances in Water Resources, 2023, 177(6): 104255–104267.
Park S, Kim M, Koo Y, Kang D, Kim Y, Park J, Ryu C. Numerical modeling of methane pyrolysis in a bubble column of molten catalysts for clean hydrogen production. International Journal of Hydrogen Energy, 2023, 48(20): 7385–7399
Jüngel A, Zurek A. A discrete boundedness-by-entropy method for finite-volume approximations of cross-diffusion systems. IMA Journal of Numerical Analysis, 2023, 43(1): 560–589.
Li Y, Wang Z, Shi X, Fan R. Numerical investigation of the dispersion features of hydrogen gas under various leakage source conditions in a mobile hydrogen refueling station. International Journal of Hydrogen Energy, 2023, 48(25): 9498–9511.
Petersen H I, Smit F W H. Application of mud gas data and leakage phenomena to evaluate seal integrity of potential CO2 storage sites: a study of chalk structures in the Danish Central Graben, North Sea. Journal of Petroleum Geology, 2023, 46(1): 47–75.
Quan L U, Lifeng H, Mengzhu H U. SF6 leakage region enhancement algorithm based on improved HE. Infrared Technology, 2024, 46(4): 437–442.
Zhang L, Liu K, Han H, et al. Dynamic Measurement and Prediction of Sulfur Hexafluoride Gas Weight Based on Non-Ideal Gas State Equation and Improved Random Forest. Journal of Nanoelectronics and Optoelectronics, 2024, 19(4): 451–457.
Kunnoth S, Mahajan P, Ahmad S, Bhatnagar N. Compressive strain measurements in porous materials using micro-FE and digital volume correlation. The Journal of Strain Analysis for Engineering Design, 2022, 57(5): 323–339.
Hao L, Kong D, Wu Y, Liu T, Wang G. Transition and gas leakage mechanisms of ventilated cavities around a conical axisymmetric body. Physical Review Fluids, 2022, 7(12): 123901–123921.
Wang Z, Jiao Z, Liu L. Design and research of power information acquisition system for smart grid. Distributed Generation and Alternative Energy Journal, 2022, 37(2): 185–198.
Liu Y. Finite-volume hyperbolic 3-manifolds are almost determined by their finite quotient groups. Inventiones mathematicae, 2023, 231(2): 741–804.
