Analysis of Temperature Distribution in the Stator of Large Synchronous Machines Considering Heat Conduction and Heat Convection

Schrittwieser, Maximilian; Bíró, Oszkár; Farnleitner, Ernst; Kastner, Gebhard

doi:10.1109/tmag.2014.2357452

Cited by 20 publications

(9 citation statements)

References 7 publications

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“…Due to the advancement of the computational power in the recent years, using CFD conjugate thermal analysis for electric machines became a focus of several researchers [107,108]. Previous research using conjugate CFD thermal analysis focused on air cooled systems [109][110][111], water or oil cooled systems [80,112,113] and hybrid systems [114]. In the recent study performed by Schrittwieser et al [111], the authors compared between the simulation results based on a conjugate heat transfer model and those obtained by conventional heat transfer model (no conduction).…”

Section: Cfd Analysismentioning

confidence: 99%

“…Previous research using conjugate CFD thermal analysis focused on air cooled systems [109][110][111], water or oil cooled systems [80,112,113] and hybrid systems [114]. In the recent study performed by Schrittwieser et al [111], the authors compared between the simulation results based on a conjugate heat transfer model and those obtained by conventional heat transfer model (no conduction). The results showed that the temperature deviations between the two models are relatively small and that the conventional heat transfer model are generally applicable for calculating stator temperatures with the benefit of shorter calculation times.…”

Section: Cfd Analysismentioning

confidence: 99%

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Thermal management of electric machines

Yang

Bilgin

Kasprzak

et al. 2017

IET Electrical Systems in Transportation

123

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Electric machines have broadly been used in many industries including the transportation industry. With the evolving trend of electrification in transportation, electric machines with higher power density and higher efficiency are demanded and, thus, more stringent thermal management requirements are needed for electrified vehicle applications. This study comprehensively presents various important aspects of thermal management in electric machines with the main focus on transportation applications. Design considerations, challenges, and methods for enhanced thermal management are discussed. Fundamental thermal properties of common materials are presented and sources of losses in various parts of machines are explained. Furthermore, typical cooling techniques and thermal analysis approaches for electric machines are reviewed in detail. This study will serve as a reference guideline for machine designers, who are interested in thermal management, and for thermal researchers working on electric machines.

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Section: Cfd Analysismentioning

confidence: 99%

Section: Cfd Analysismentioning

confidence: 99%

Thermal management of electric machines

Yang

Bilgin

Kasprzak

et al. 2017

IET Electrical Systems in Transportation

123

View full text Add to dashboard Cite

show abstract

“…The last unknown parameter is the fluid reference temperature T ref which must be defined to compute the convective heat flux. The energy balance equation, based on the first law of thermodynamics, has to be added to take account of the fluid heating up due to the heat discharged over the walls, presented in Schrittwieser et al (2015). Afterwards the fluid inlet temperature and the mass flow rate are given as input.…”

Section: Validationmentioning

confidence: 99%

Characterizing the convective heat transfer on stator ventilation ducts for large hydro generators with a neural network

Schrittwieser

Bíró

Farnleitner

et al. 2015

COMPEL

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Purpose -The purpose of this paper is to approximate the convective heat transfer using a few non-dimensional parameters in the design process of large synchronous machines. The computed convective wall heat transfer coefficient can be used in circuit models or can be defined in numerical heat conduction (HC) models to compute the thermal field in the solid domains without the time consuming computation of the fluid domain. Design/methodology/approach -Computational fluid dynamics (CFD) has been used to include a wide range of different designs, operating conditions and cooling schemes to ensure accurate results for a wide range of possible machines. Neural networks are used to correlate the computed heat transfer coefficients to various design parameters. The data set needed to define the weights and bias layers in the network has been obtained by several CFD simulations. A comparison of the evaluated solid temperatures with those obtained using the conjugate heat transfer (CHT) method has been carried out. The results have also been validated with calorimetric measurements. Findings -The validation of the HC model has shown that this model is capable of yielding accurate results in a few minutes, in contrast to the several hours needed by the CHT solution. The workflow to determine the convective heat transfer in a specific part of an electrical machine has been also been established. The approximation of the convective wall heat transfer coefficient is shown to be obtainable in sufficient detail by using a neural network.Research limitations/implications -The paper describes a method to approximate the convective heat transfer accurately in a few seconds, which is very useful in the design process. The heat convection can then be characterized in a HC model including the solid domains only. The losses can be defined as sources in the solid domains, e.g. copper and iron, obtained by electromagnetic calculations and the thermal field can hence be easily computed in these parts. This HC model has the main advantage that the time consuming computation of the fluid domain is avoided. Originality/value -The novelty in this work is the approximation of the convective heat transfer by using a neural network with an accuracy of less than 5 percent as well as the development of a HC model to compute the temperature in the solid domains. The investigations presented pinpoint relevant issues influencing the thermal behavior of electrical machines.

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“…Gbé gbé et al performed the damper currents simulation of large hydro-generator using the combination of FEM and coupled circuits models [7]. Schrittwieser et al analyzed on temperature distribution in the stator of large synchronous machines considering heat conduction and heat convection [8]. Some other experts extensively studied hydrogenerator [9], [10], but very few focused on the influence of rotor structure on the fluid flow and temperature distribution in the rotor region of hydrogenerator.…”

Section: Introductionmentioning

confidence: 99%

Thermal Modeling and Experimental Validation in the Rotor Region of Hydrogenerator With Different Rotor Structures

et al. 2021

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Thermal management is often considered a bottleneck in the pursuit of the next generation hydrogenerator in the electric power system. Overheating of the complex rotor parts has become one of the main problems affecting safe and stable hydrogenerator operation. In this paper, a 250 MW hydrogenerator is analyzed. The transient electromagnetic field of the hydrogenerator is calculated and the losses of the rotor parts are obtained. The rotation of the hydrogenerator rotor is considered. Three-dimensional fluid and thermal mathematic and physical models of the hydrogenerator are established. The loss values from electromagnetic field calculations are applied to the rotor parts as heat sources in the temperature field. After solving the fluid and thermal equations of fluid-solid conjugated heat transfer, influence of the structures of rotor support plate, rotor pole body insulation, and rotor excitation winding on the fluid flow and temperature distribution in the rotor region of hydrogenerator is studied using the finite volume method. The calculated temperature result of rotor excitation winding is compared with the measured value. The calculated temperature result agrees well with the measured value. It provides an important reference for optimizing the rotor structure of the larger hydrogenerator.

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Analysis of Temperature Distribution in the Stator of Large Synchronous Machines Considering Heat Conduction and Heat Convection

Cited by 20 publications

References 7 publications

Thermal management of electric machines

Thermal management of electric machines

Characterizing the convective heat transfer on stator ventilation ducts for large hydro generators with a neural network

Thermal Modeling and Experimental Validation in the Rotor Region of Hydrogenerator With Different Rotor Structures

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