FluSHELL - A Tool for Thermal Modelling and Simulation of Windings for Large Shell-Type Power Transformers [electronic resource] / by Hugo Campelo.

Por: Campelo, Hugo [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Springer Theses, Recognizing Outstanding Ph.D. ResearchEditor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XXXIII, 188 p. 128 illus., 54 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319727035Tema(s): Fluid mechanics | Power electronics | Thermodynamics | Heat engineering | Heat transfer | Mass transfer | Computer mathematics | Chemical engineering | Materials science | Force and energy | Engineering Fluid Dynamics | Power Electronics, Electrical Machines and Networks | Engineering Thermodynamics, Heat and Mass Transfer | Computational Science and Engineering | Industrial Chemistry/Chemical Engineering | Energy MaterialsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 620.1064 Clasificación LoC:TA357-359Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction -- Scale Model -- CFD Sclae Model -- The FluSHELL Tool -- FluSHELL Validation -- Conclusions and Future Work.
En: Springer Nature eBookResumen: This thesis addresses a novel application of network modelling methodologies to power transformers. It develops a novel thermal model and compares its performance against that of a commercial computational fluid dynamics (CFD) code, as well as in experiments conducted in a dedicated setup built exclusively for this purpose. Hence, the thesis cross-links three of the most important aspects in high-quality research: model development, simulation and experimental validation. Network modelling is used to develop a tool to simulate the thermal performance of power transformers, widely acknowledged to be critical assets in electrical networks. After the strong de-regulation of electricity markets and de-carbonization of worldwide economies, electrical networks have been changing fast. Both asset owners and equipment manufacturers are being driven to develop increasingly accurate modelling capabilities in order to optimize either their operation or their design. Temperature is a critical parameter in every electric machine and power transformers are no exception. As such, the thesis is relevant for a wide range of stakeholders, from utilities to power transformer manufacturers, as well as researchers interested in the energy industry. It is written in straightforward language and employs a highly pedagogic approach, making it also suitable for non-experts.
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Introduction -- Scale Model -- CFD Sclae Model -- The FluSHELL Tool -- FluSHELL Validation -- Conclusions and Future Work.

This thesis addresses a novel application of network modelling methodologies to power transformers. It develops a novel thermal model and compares its performance against that of a commercial computational fluid dynamics (CFD) code, as well as in experiments conducted in a dedicated setup built exclusively for this purpose. Hence, the thesis cross-links three of the most important aspects in high-quality research: model development, simulation and experimental validation. Network modelling is used to develop a tool to simulate the thermal performance of power transformers, widely acknowledged to be critical assets in electrical networks. After the strong de-regulation of electricity markets and de-carbonization of worldwide economies, electrical networks have been changing fast. Both asset owners and equipment manufacturers are being driven to develop increasingly accurate modelling capabilities in order to optimize either their operation or their design. Temperature is a critical parameter in every electric machine and power transformers are no exception. As such, the thesis is relevant for a wide range of stakeholders, from utilities to power transformer manufacturers, as well as researchers interested in the energy industry. It is written in straightforward language and employs a highly pedagogic approach, making it also suitable for non-experts.

UABC ; Temporal ; 01/01/2021-12/31/2023.

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