Improved synchronous machine thermal modelling

Mejuto, C.; Mueller, Markus; Shanel, M.; Mebarki, Abdeslam; Reekie, Martin; Staton, D.A.

doi:10.1109/icelmach.2008.4799886

Cited by 56 publications

(36 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Alberti and Bianchi [5] use electromagnetic FEM and thermal network in order to predict temperatures in small induction machines. A similar approach is used by Mejuto et al [6] for studying synchronous machines. Dorrell [7] studies the temperature rise in permanent magnet motors using a commercial software which combines thermal and electromagnetic computations.…”

Section: Introductionmentioning

confidence: 89%

Cooling Airflow, Losses, and Temperatures in Large Air-Cooled Synchronous Machines

Traxler-Samek

Zickermann

Schwery

2010

IEEE Trans. Ind. Electron.

132

View full text Add to dashboard Cite

At steady-state operation, power losses cause a heating of rotating electrical machines. In air-cooled machines, these losses are evacuated by a forced cooling airflow through the active parts. When designing and optimizing such a machine, the design engineer must be able to get a full picture of the power losses, the cooling airflow, and the temperatures inside the active parts (e.g., core laminations, windings) and the periphery (e.g., winding overhangs). The aim of the designer is to fulfill the customer's requirements regarding the guaranteed temperatures. This paper presents a computation method, where the power loss, airflow, and temperature calculations for the world's largest air-cooled hydrogenerators are coupled in an iterative process. The new contribution of this paper is a calculation software developed by the authors. It includes a state-of-the-art loss computation, an automated airflow network, and a set of linked thermal networks. These computations result in a complete overview of the temperature gradients and allow fine tuning of the cooling airflow and, consequently, optimization of ventilation losses.

show abstract

Section: Introductionmentioning

confidence: 89%

Cooling Airflow, Losses, and Temperatures in Large Air-Cooled Synchronous Machines

Traxler-Samek

Zickermann

Schwery

2010

IEEE Trans. Ind. Electron.

132

View full text Add to dashboard Cite

show abstract

“…5. Frequency variation of β coefficient for the per winding body power loss averaging including the winding active length and end regions the core segments [3], [5], [14]. The iron loss coefficients for the Steinmetz's formula have been derived by curve fitting of the equation to specific loss data provided by the steel manufacturer.…”

Section: A Electromagnetic Analysismentioning

confidence: 99%

Winding loss separation in thermal analysis of electromagnetic devices

Wróbel

Simpson

2016

2016 XXII International Conference on Electrical Machines (ICEM)

View full text Add to dashboard Cite

--This paper investigates various winding loss separation approaches applicable to the thermal analysis of electrical machines, transformers and wound passive components. The accurate temperature prediction and identification of hot-spots within such electromagnetic devices is strongly dependent on the absolute power loss data as well as the loss distribution within the subassemblies or regions of the device. The losses within a device are often defined as the average loss over a particular region, for example, the winding loss, core loss or magnet loss. However, such a loss definition might not yield the required fidelity or resolution, particularly if localised power loss such as ac winding loss is present during device operation. To account for the inhomogeneous winding loss, a more detailed loss separation is required. In this paper, the winding subassembly is subdivided into a number of subregions accounting for both the active length and end-winding. I. INTRODUCTIONHERMAL analysis of electromagnetic devices has become an essential element of the design-development process and is particularly important when considering compact, cost-effective and high-efficiency designs. A detailed insight into the thermal behaviour of a machine prior to the manufacturing stage is particularly desirable as it allows various performance measures to be assessed, for example, the power output capability and the efficiency under the intended operating conditions. However, the accuracy of thermal models is affected by numerous factors, some of which include the thermal material data, power loss data, manufacture and assembly factors, and thermal model formulation [1]- [14]. A reliable thermal model typically requires a degree of calibration and is usually informed from experiments or previous experience. This allows for the manufacture and assembly as well as the operating conditions of a machine design to be accounted for in the Rafal Wrobel is with the Department of Electrical Engineering, the University of Bristol, Bristol, BS8 1TR, UK and with Motor Design Ltd., Ellesmere, SY12 0EG, UK (e-mail: dr.rafal.wrobel@ieee.org) Nick Simpson is with the Department of Electrical Engineering, the University of Bristol, Bristol, BS8 1TR, UK (e-mail: dr.nick.simpson@ieee.org). model definition. Such a thermal model allows for the behaviour of the machine to be predicted at various operating points providing that the appropriate power loss data is available. There are various loss components present within a machine assembly during its operation. In general, these include electromagnetic loss components when considering electromagnetic transducers such as transformers and inductors with the addition of mechanical losses and motion related electromagnetic losses when considering electromechanical machines such as motors and actuators. There is a wide body of work devoted to power loss derivation and separation using both experimental and theoretical approaches [1]-[21]. It is important to note that the experimental loss measureme...

show abstract

“…[17]. However, especially in large machines, this method is insufficient, simply because the temperatures inside the machine differ significantly depending on location [17,18]. A precise forecast of temperatures is crucial, particularly in conductors, to maintain the thermal class of insulation materials [1,2].…”

Section: Introductionmentioning

confidence: 99%

Coupled fluid-thermal network modeling approach for electrical machines

Centner

Sabelfeld

2012

2012 XXth International Conference on Electrical Machines

View full text Add to dashboard Cite

This paper presents a coupled fluid-thermal network modeling approach. Thermal conduction and convection and interaction with the air flow are modeled. Special emphasis is put on a modular model so that geometry and cooling methods can be simply modified. The structure of all necessary modules is introduced. To demonstrate the abilities of this modeling approach, a network involving a 6 MW synchronous machine with cylindrical rotor with directly cooled conductors and a rotor with indirectly cooled conductors is generated and the results are investigated.

show abstract

Improved synchronous machine thermal modelling

Cited by 56 publications

References 5 publications

Cooling Airflow, Losses, and Temperatures in Large Air-Cooled Synchronous Machines

Cooling Airflow, Losses, and Temperatures in Large Air-Cooled Synchronous Machines

Winding loss separation in thermal analysis of electromagnetic devices

Coupled fluid-thermal network modeling approach for electrical machines

Contact Info

Product

Resources

About