FluSHELL - A Tool for Thermal Modelling and Simulation of Windings for Large Shell-Type Power Transformers

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 excl...

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Κύριος συγγραφέας: Campelo, Hugo (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Springer Theses, Recognizing Outstanding Ph.D. Research,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Campelo, Hugo.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a FluSHELL - A Tool for Thermal Modelling and Simulation of Windings for Large Shell-Type Power Transformers  |h [electronic resource] /  |c by Hugo Campelo. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XXXIII, 188 p. 128 illus., 54 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
505 0 |a Introduction -- Scale Model -- CFD Sclae Model -- The FluSHELL Tool -- FluSHELL Validation -- Conclusions and Future Work. 
520 |a 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. 
650 0 |a Fluid mechanics. 
650 0 |a Power electronics. 
650 0 |a Thermodynamics. 
650 0 |a Heat engineering. 
650 0 |a Heat transfer. 
650 0 |a Mass transfer. 
650 0 |a Computer mathematics. 
650 0 |a Chemical engineering. 
650 0 |a Materials science. 
650 0 |a Force and energy. 
650 1 4 |a Engineering Fluid Dynamics.  |0 http://scigraph.springernature.com/things/product-market-codes/T15044 
650 2 4 |a Power Electronics, Electrical Machines and Networks.  |0 http://scigraph.springernature.com/things/product-market-codes/T24070 
650 2 4 |a Engineering Thermodynamics, Heat and Mass Transfer.  |0 http://scigraph.springernature.com/things/product-market-codes/T14000 
650 2 4 |a Computational Science and Engineering.  |0 http://scigraph.springernature.com/things/product-market-codes/M14026 
650 2 4 |a Industrial Chemistry/Chemical Engineering.  |0 http://scigraph.springernature.com/things/product-market-codes/C27000 
650 2 4 |a Energy Materials.  |0 http://scigraph.springernature.com/things/product-market-codes/Z21000 
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776 0 8 |i Printed edition:  |z 9783319727028 
776 0 8 |i Printed edition:  |z 9783319727042 
776 0 8 |i Printed edition:  |z 9783319891996 
830 0 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
856 4 0 |u https://doi.org/10.1007/978-3-319-72703-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)