Flushell: A Tool for Thermal Modelling and Simulation of Windings for Large Shell-type Power Transformers - Rilegato

Campelo, Hugo

Rilegato

ISBN 10: 3319727028 ISBN 13: 9783319727028

Casa editrice: Springer Nature, 2018

Riassunto

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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Informazioni sull?autore

Hugo Campelo completed his PhD in Chemical Engineering at the University of Porto (Portugal) in 2016, but his career as a Computational Fluid Dynamics (CFD) consultant actually started ten years ago. Since 2010 he has been working for a large electromechanical group that manufactures power transformers, in which he currently coordinates a team of R&D experts focused on addressing the thermal-hydraulic challenges associated with power transformers. A CFD expert, his main interests lie in numerical fluid flow and heat transfer.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 3319727028
• ISBN 13: 9783319727028
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 224
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