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Online since: February 2015
Authors: Yi Ming Liang, Ming Ao, Da Ming Zhu, Qi Ming Zhao, Xiao Feng Cao, Zhi Peng Jiang
The Optimization of Group Panel-type Radiator of Transformer
Yiming Liang 1, a, Ming Ao 2, b, Daming Zhu 1, Qiming Zhao1, Xiaofeng Cao 3, c and Zhipeng Jiang 3, d
1State Grid Jilin Electric Power Company limited, Changchun 130021, China
2State Grid Jilin Province Electric Power Research Institute, Changchun 130021, China
3Department of Thermal Energy Engineering, Jilin University, Changchun 130025, China
a64403549@qq.com, baoming1295j@126.com, c928095835@qq.com, d1064151530@qq.com
Keywords: panel-type Radiator, Numerical Simulation, Transformer.
The author used CFD software to simulate when group panel-type radiator quantity, space, height of gooseneck have changed, how temperature distribute on the radiator.
Summery In this paper, through simulation the influence on the heat transfers efficiency when changed the group panel-type radiator quantity and space have been studied.
Guo, Flow Distribution and Cooling Capacity for each Channel of Panel-type Radiator CFD Analysis [J],Transformers, Vol.48(2011), No. 3,p.1 [3] Y.
Zhao, Numerical Simulation of Temperature Field on Oiland Air Cooled [J],Transformer, Vol .40 (2003)No. 5, p.5
The author used CFD software to simulate when group panel-type radiator quantity, space, height of gooseneck have changed, how temperature distribute on the radiator.
Summery In this paper, through simulation the influence on the heat transfers efficiency when changed the group panel-type radiator quantity and space have been studied.
Guo, Flow Distribution and Cooling Capacity for each Channel of Panel-type Radiator CFD Analysis [J],Transformers, Vol.48(2011), No. 3,p.1 [3] Y.
Zhao, Numerical Simulation of Temperature Field on Oiland Air Cooled [J],Transformer, Vol .40 (2003)No. 5, p.5
Online since: September 2020
Edited by: Akii Okonigbon Akaehomen Ibhadode
Adhesive, Annual Duration Series, Ball Packing, Capillary Absorption, CFD Simulation, Circular Thin Plates, Compliance Management, Compliance Requirements, Composite Patch, Concentration, Crack, CVD Coating Carbide Insert, Cycle Time, Cycloconverter, Damaged, Driver Assistance System, Elastic Constants, Electric Vehicle, Epoxy Granite, Fatigue Parameter, Gauge Station, Half-Elliptical, Heat Transfer, Intensity Factor, Jaya Optimization Algorithm, Laminar Flow, Load Frequency Control (LFC), Low Cycle Fatigue, Model Predictive Control (MPC), Multi-Area Power System, Multicellular, Natural Convection, Partial Duration Series, Performance Evaluation, Rainfall Intensity, Recording Station, Rectification, Road Profile, Sector Finite Element, Sediment, Stabilized Soil Blocks, State of Charge (SOC), Steel Reinforcement, Strain Based Approach, Temperature, Thermo-Physical Properties, Vehicle Dynamics, Water Resources
Online since: June 2016
Authors: Yves Gagnon, Somphol Chewamongkolkarn, Chuleerat Kongruang, Chana Chancham, Jompob Waewsak
The methodology of wind resource assessment based on Monte Carlo simulation methodology was proposed to be able to evaluate wind generation covering large area [4].
The microscale wind resource map based on CFD wind flow modelling is displayed in Figure 4.
It was found that wake loss was 0.59% and 0.60% for linearized and CFD wind flow modelling for 5X2.0 MW wind farm.
Gross AEP (GWh/year) Wind Flow Modeling WTG Model A (5X2.0 MW) WTG Model B (4X2.5 MW) Linearized Model 18.915 35.080 CFD Model 21.025 36.756 Wake Loss (%) Wind Flow Modeling WTG Model A (5X2.0 MW) WTG Model B (4X2.5 MW) Linearized Model 0.59 0.36 CFD Model 0.60 0.40 Net AEP (GWh/year) Wind Flow Modeling WTG Model A (5X2.0 MW) WTG Model B (4X2.5 MW) Linearized Model 18.804 34.955 CFD Model 20.900 36.600 Capacity Factor (%) Wind Flow Modeling WTG Model A (5X2.0 MW) WTG Model B (4X2.5 MW) Linearized Model 21.47 39.90 CFD Model 23.86 41.78 Cost breakdown and benefit breakdown are shown in Fig. 6.
The net AEP for 4X2.5 MW wind farm is 36.6 GWh/year based on CFD wind flow modelling while wake loss is 0.4%.
The microscale wind resource map based on CFD wind flow modelling is displayed in Figure 4.
It was found that wake loss was 0.59% and 0.60% for linearized and CFD wind flow modelling for 5X2.0 MW wind farm.
Gross AEP (GWh/year) Wind Flow Modeling WTG Model A (5X2.0 MW) WTG Model B (4X2.5 MW) Linearized Model 18.915 35.080 CFD Model 21.025 36.756 Wake Loss (%) Wind Flow Modeling WTG Model A (5X2.0 MW) WTG Model B (4X2.5 MW) Linearized Model 0.59 0.36 CFD Model 0.60 0.40 Net AEP (GWh/year) Wind Flow Modeling WTG Model A (5X2.0 MW) WTG Model B (4X2.5 MW) Linearized Model 18.804 34.955 CFD Model 20.900 36.600 Capacity Factor (%) Wind Flow Modeling WTG Model A (5X2.0 MW) WTG Model B (4X2.5 MW) Linearized Model 21.47 39.90 CFD Model 23.86 41.78 Cost breakdown and benefit breakdown are shown in Fig. 6.
The net AEP for 4X2.5 MW wind farm is 36.6 GWh/year based on CFD wind flow modelling while wake loss is 0.4%.
Online since: January 2012
Authors: Wei Lian Qu, Bai Feng Ji
Numerical simulation using computational fluid dynamics (CFD) has recently made significant progress in simulating downbursts.
In this paper, transient simulation of a three-dimensional moving downburst was studied using computational fluid dynamics simulation method.
Transient simulation of a three-dimensional moving downburst was conducted using time-filtered Reynolds Averaged Navier-Stokes (RANS) numerical simulation method.
Numerical simulation method Wind field model.
Numerical Simulations of an Isolated Microburst.
In this paper, transient simulation of a three-dimensional moving downburst was studied using computational fluid dynamics simulation method.
Transient simulation of a three-dimensional moving downburst was conducted using time-filtered Reynolds Averaged Navier-Stokes (RANS) numerical simulation method.
Numerical simulation method Wind field model.
Numerical Simulations of an Isolated Microburst.
Online since: March 2015
Authors: Wen Xing Ma, Long Fei Ji, Xiao Wen Shen, Xiu Quan Lu
Simulation Analysis of Bidirectional Fluid-solid Coupling for
Hydrodynamic Coupling
Wexing Ma1,a , Xiaowen Shen1,b, Xiuquan Lu1,c*,Longfei Ji1,d
1.
Establishment of computational analysis model The simulation procedure of bi-directional fluid-solid coupling interaction is shown in Fig.1 , the structure and fluid calculation model are established in the corresponding calculation module, and then put them into fluid-solid coupling solver to iteratively solve.
Fig.1 Simulation procedure of bidirectional fluid-solid coupling The mesh model of bidirectional fluid-solid coupling is shown in Fig.2.
a)CFD b)Fluid-solid coupling Fig.4 Pre-interaction and after-interaction pressure distribution of axial section Fig.5 shows that stress variation of turbine blades during the time hydrodynamic coupling works from starting to steady state.
Simulation and Analysis of Fluid Structure Interaction for Impeller of Hydrodynamic Coupling[D].Changchun: Jilin University,2009
Establishment of computational analysis model The simulation procedure of bi-directional fluid-solid coupling interaction is shown in Fig.1 , the structure and fluid calculation model are established in the corresponding calculation module, and then put them into fluid-solid coupling solver to iteratively solve.
Fig.1 Simulation procedure of bidirectional fluid-solid coupling The mesh model of bidirectional fluid-solid coupling is shown in Fig.2.
a)CFD b)Fluid-solid coupling Fig.4 Pre-interaction and after-interaction pressure distribution of axial section Fig.5 shows that stress variation of turbine blades during the time hydrodynamic coupling works from starting to steady state.
Simulation and Analysis of Fluid Structure Interaction for Impeller of Hydrodynamic Coupling[D].Changchun: Jilin University,2009
Online since: October 2014
Authors: Jӧrg Uwe Schlüter, Fei Duan, Jun Ting Xiang
The results show that computational fluid dynamics (CFD) is capable in predicting the compressor performance.
Based on previous study, computational approach on NASA 35 axial compressor is utilized, to further verify the reliability of CFD method for turbo machinery study.
A low under relaxation factor value and small courant number are applied at the start of simulation to aid convergence.
Herrick, Prestall Behavior of a Transonic Axial Compressor Stage via Time-Accurate Numerical Simulation.
Wood, Recommendations for achieving accurate numerical simulation of tip clearance flows in transonic compressor rotors.
Based on previous study, computational approach on NASA 35 axial compressor is utilized, to further verify the reliability of CFD method for turbo machinery study.
A low under relaxation factor value and small courant number are applied at the start of simulation to aid convergence.
Herrick, Prestall Behavior of a Transonic Axial Compressor Stage via Time-Accurate Numerical Simulation.
Wood, Recommendations for achieving accurate numerical simulation of tip clearance flows in transonic compressor rotors.
Online since: November 2012
Authors: Vijay R. Raghavan, Normayati Nordin, Zainal Ambri Abdul Karim, Safiah Othman
The total dependance on experimental methods can be reduced by implementing the CFD techniques.
The current work uses the commercial CFD code FLUENT to model and simulate the performance of turning diffusers.
The commercial CFD code FLUENT 6.3.26 is used to simulate the model by adopting the SIMPLE algorithm solution.
This is mainly due to the assumption made in the simulation which the inlet velocity is fully developed and uniform.
Cheung, “A flow analysis for a turning rapid diffuser using CFD,” J.
The current work uses the commercial CFD code FLUENT to model and simulate the performance of turning diffusers.
The commercial CFD code FLUENT 6.3.26 is used to simulate the model by adopting the SIMPLE algorithm solution.
This is mainly due to the assumption made in the simulation which the inlet velocity is fully developed and uniform.
Cheung, “A flow analysis for a turning rapid diffuser using CFD,” J.
Online since: January 2010
Authors: Yan Jie Li, Lin Hua Piao
In the process, ANSYS-FLOTRAN CFD program is employed.
Finite element method ANSYS-FLOTRAN CFD is an advanced tool used to analyze the two and three dimensional flowing fields[2].
It usually includes three steps as follows: model building, loads applying and equation solving. 3.1 model building (1)Analysis type choice:Choose the analysis function of ANSYS-FLOTRAN CFD
Conclusions Using the finite element method and ANSYS-FLOTRAN CFD program,the temperature field is calculated in different temperatures.The calculation results and analysis results show: (1) The temperature difference between two thermistors changes with the tilt angle's change
[2] Guoqiang Wang, Numerical simulation and practice on ANSYS [M], Xi'an: Northwest Industry University Press, 1999. 221
Finite element method ANSYS-FLOTRAN CFD is an advanced tool used to analyze the two and three dimensional flowing fields[2].
It usually includes three steps as follows: model building, loads applying and equation solving. 3.1 model building (1)Analysis type choice:Choose the analysis function of ANSYS-FLOTRAN CFD
Conclusions Using the finite element method and ANSYS-FLOTRAN CFD program,the temperature field is calculated in different temperatures.The calculation results and analysis results show: (1) The temperature difference between two thermistors changes with the tilt angle's change
[2] Guoqiang Wang, Numerical simulation and practice on ANSYS [M], Xi'an: Northwest Industry University Press, 1999. 221
Online since: January 2016
Authors: Nor Fadzilah Othman, Hasril Hasini, Siti Sarah Ain Fadhil, Mohd Nasharuddin Mohd Jaafar
This paper aims to discuss the CFD analysis on the flame and flue gas temperature distribution in a full scale microgas turbine operating on syngas.
Simulation results with syngas show similar flame temperature distribution as natural gas combustion.
A computational fluid dynamics (CFD) analysis was done on a full scale micro gas turbine.
In CFD, quality of mesh plays important role for the calculation of flow properties.
Lazzaretto, Numerical simulation of a hydrogen fuelled gas turbine combustor, International Journal of Hydrogen Energy 36 (2011) 7993-8002
Simulation results with syngas show similar flame temperature distribution as natural gas combustion.
A computational fluid dynamics (CFD) analysis was done on a full scale micro gas turbine.
In CFD, quality of mesh plays important role for the calculation of flow properties.
Lazzaretto, Numerical simulation of a hydrogen fuelled gas turbine combustor, International Journal of Hydrogen Energy 36 (2011) 7993-8002
Online since: January 2016
Authors: Vladimira Michalcova, Lenka Lausova
The value of the resistance coefficient computed using the CFD codes should be considered approximate only until it is verified by using either a physical experiment or a detailed numerical calculation which allows a direct simulation of the actual geometry of a covered smokestack.
Iaccarino, Numerical simulation of the flow around a circular cylinder at high Reynolds numbers, J.
Breuer, A challenging test case for large eddy simulation: high Reynolds number circular cylinder flow, J.
Lu, Large-Eddy and Detached-Eddy Simulations of the separated flow around a circular cylinder, J.
Zhang, Unsteady RANS and detached-eddy simulations of flow around a circular cylinder in ground effect, J.
Iaccarino, Numerical simulation of the flow around a circular cylinder at high Reynolds numbers, J.
Breuer, A challenging test case for large eddy simulation: high Reynolds number circular cylinder flow, J.
Lu, Large-Eddy and Detached-Eddy Simulations of the separated flow around a circular cylinder, J.
Zhang, Unsteady RANS and detached-eddy simulations of flow around a circular cylinder in ground effect, J.