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101 KiB
=== PAGE 1 ===
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Physics of Electrical
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Discharge Transitions
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in Air
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LIPENG LIU
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DOCTORAL THESIS IN ELECTRICAL ENGINEERING
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STOCKHOLM, SWEDEN 2017
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KTH ROYAL INSTITUTE OF TECHNOLOGY
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SCHOOL OF ELECTRICAL ENGINEERING
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=== PAGE 3 ===
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KTH Electrical Engineering
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Physics of Electrical Discharge Transitions in Air
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LIPENG LIU
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Doctoral Thesis
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KTH Royal Institute of Technology
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School of Electrical Engineering
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Stockholm, Sweden 2017
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=== PAGE 4 ===
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TRITA-EE 2017: 028
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ISSN 1653-5146
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ISBN 978-91-7729-348-4
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Akademisk avhandling som med tillstånd av Kungliga Tekniska Högskolan framlägges till
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offentlig granskning för avläggande av teknologie doktorsexamen onsdagen den 24 maj
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2017 kl. 10:00 i Kollegiesalen, Brinellvägen 8, Kungliga Tekniska Högskolan, Stockholm.
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© Lipeng Liu, May 2017
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Tryck: Universitetsservice US AB
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=== PAGE 5 ===
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To the Lord
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&
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To the uncertainty and imperfection of life
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=== PAGE 7 ===
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Abstract
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Electrical discharges with a variety of different forms (streamers, glow corona, leaders,
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etc.) broadly exist in nature and in industrial applications. Under certain conditions, one
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electrical discharge can be transformed into another form. This thesis is aimed to develop
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and use numerical simulation models in order to provide a better physical understanding of
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two of such transitions, namely the glow-to-streamer and the streamer-to-leader transitions
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in air.
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In the first part, the thesis includes the two-dimensional simulation of the glow-to-
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streamer transition under a fast changing background electric field. The simulation is
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performed with a fluid model taking into account electrons. An efficient semi-Lagrangian
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algorithm is proposed to solve the convection-dominated continuity equations present in
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the model. The condition required for the glow-to-streamer transition is evaluated and
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discussed. In order to enable such simulations for configurations with large interelectrode
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gaps and long simulation times, an efficient simplified model for glow corona discharges
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and their transition into streamers is also proposed.
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The second part of the thesis is dedicated to investigate the dynamics of the streamer-
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to-leader transition in long air gaps at atmospheric pressure. The transition is studied with a
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one-dimensional
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thermo-hydrodynamic model and a detailed kinetic scheme for
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N2/O2/H2O mixtures. In order to evaluate the effect of humidity, the kinetic scheme
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includes the most important reactions with the H2O molecule and its derivatives. The
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analysis includes the simulation of the corresponding streamer bursts, dark periods and
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aborted leaders that may occur prior to the inception of a stable leader. The comparison
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between the proposed model and the widely-used model of Gallimberti is also presented.
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Keywords: electrical discharges, transition, streamers, glow corona, leader discharges.
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=== PAGE 8 ===
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Sammanfattning
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Elektriska urladdningar av olika former (streamers (från engelska), glöd-korona, ledare,
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etc.) förekommer i stor utsträckning i naturen och i industriella applikationer. Under vissa
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förhållanden kan en elektrisk urladdning omvandlas till en annan form av elektrisk
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urladdning. Denna avhandling syftar till att utveckla och använda numeriska
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simuleringsmodeller för att ge en bättre fysikalisk förståelse av två sådana övergångar,
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nämligen glöd-till-streamer- och streamer-till-ledar-övergångar, i luft.
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I den första delen, avhandlas en tvådimensionell simulering av glöd-till-streamer-
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övergången med ett hastigt föränderligt elektriskt fält i bakgrunden. Simuleringen utförs
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med en flödesmodell som tar hänsyn till elektronerna. En effektiv semi-Lagrangesk
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algoritm föreslås för att lösa de konvektionsdominerade kontinuitetsekvationerna i
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modellen. Vidare utvärderas och diskuteras förutsättningarna för glöd-till-streamer-
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övergången. För att möjliggöra sådana simuleringar i konfigurationer med stora
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elektrodavstånd och långa simuleringstider, föreslås också en effektiv och förenklad
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modell för glöd-korona-urladdningar samt deras övergång till streamers.
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Den andra delen av avhandlingen är tillägnad att undersöka dynamiken i streamer-till-
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ledar-övergångar över långa avstånd i luft, under atmosfäriskt tryck. Övergången studeras
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med en endimensionell termohydrodynamisk modell och en detaljerad kinetisk modell för
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blandningar av N2/O2/H2O. För att utvärdera effekten av luftfuktighet, innefattar den
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kinetiska modellen de viktigaste reaktionerna med H2O-molekylen och dess derivat.
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Analysen innefattar simuleringen av motsvarande streamer-kedjor, mörka perioder och
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avbrutna ledare som kan förekomma före starten av en stabil ledare. En jämförelse mellan
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den föreslagna modellen och den allmänt använda modellen av Gallimberti presenteras
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också.
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Nyckelord: elektriska urladdningar, övergång, streamers, glöd-korona, ledarurladdningar.
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=== PAGE 9 ===
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Acknowledgements
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First and foremost, my deepest acknowledgement goes to my supervisor and one of my
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best friends, Marley Becerra. I feel deeply honoured to have such a great scientist as my
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mentor, not only regarding academic matters but also in life.
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Second but also very important, I am very grateful for the financial support of the
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China Scholarship Council. In addition, the scholarship from the Foundation Ericson E.C.
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Fund and the Foundation Petersohns Minne to cover my travelling expenses when
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attending to several international conferences is also appreciated.
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I enjoyed a lot the life in Stockholm and at KTH Royal Institute of Technology. As a
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prestigious technical university, KTH provided valuable insight and invaluable assistance
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from international, experienced and well-recognized scientists and engineers. The adequate
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academic resources, harmonious interpersonal relationships, flexible schedules and the
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beautiful environment…all these elements make me feel relaxed, confident and energetic
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when pursuing my Ph.D. studies.
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There are a lot of people I would like to acknowledge, my colleagues at the department
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of electromagnetic engineering of KTH, my friends in Stockholm, my sisters and brothers
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in the Immanuel Church in Stockholm, and my family. Without their support,
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companionship and encouragement, this thesis would have been impossible to finish. I will
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not list their names here, but I will keep them in my mind.
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The scenes and memories in the last four years are always vivid. I remember when I
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came to Sweden and posted some pictures on the Internet with text ‘Happy Ph.D. life
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begins’. The post caused a heated discussion and was forwarded by thousands of people
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since most of them think the word ‘happy’ contradicts the word ‘Ph.D. life’. Yes, I have to
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admit that pursuing Ph.D is not easy. However, I really enjoy it and I feel so lucky and
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honoured. For me, it is like a journey abroad, meeting different people, doing different
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things and seeing different sceneries.
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Happy Ph.D. life ends here, but it lasts forever in my heart.
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Lipeng Liu
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Stockholm, May 2017
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=== PAGE 11 ===
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List of Publications
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This thesis is based on the following papers, which will be referred to in the text by their
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roman numerals:
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I.
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L. Liu, M. Becerra, "An efficient semi-Lagrangian algorithm for
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simulation of corona discharges: the position-state separation method," IEEE
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Transactions on Plasma Science, volume 44, issue 11 (10 pp), 2016.
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(doi: 10.1109/TPS.2016.2609504)
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II.
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L. Liu, M. Becerra, "Application of the position-state separation method
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to simulate streamer discharges in arbitrary geometries," IEEE Transactions
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on
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Plasma
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Science,
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volume
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45,
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issue
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4
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(9
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pp),
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2017.
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(doi: 10.1109/TPS.2017.2669330)
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III.
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L. Liu, M. Becerra, "On the transition from stable positive glow corona
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to streamers," Journal of Physics D: Applied Physics, volume 49, issue 22
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(13pp), 2016. (doi: 10.1088/0022-3727/49/22/225202)
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Conference paper version presented at the 20th International Conference on
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Gas Discharges and their Applications, Orleans, France, 2014.
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IV.
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L. Liu, M. Becerra, "An efficient model to simulate stable glow corona
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discharges and their transition into streamers," Journal of Physics D: Applied
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Physics, volume 50, issue 10 (12pp), 2017. (doi: 10.1088/1361-6463/aa5a34)
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V.
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L. Liu, M. Becerra, "Gas heating dynamics during leader inception in
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long air gaps at atmospheric pressure," (23pp), submitted to Journal of Physics
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D: Applied Physics, 2017.
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Conference paper version presented at the 21st International Conference on
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Gas Discharges and their Applications, Nagoya, Japan, 2016.
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VI.
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L. Liu, M. Becerra, "Two-dimensional simulation on the glow to
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streamer transition from horizontal conductors," presented at the 32nd
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International Conference on Lightning Protection, Shanghai, China, 2014.
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(doi: 10.1109/ICLP.2014.6973247)
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VII. L. Liu, M. Becerra, "Two-dimensional simulation on the glow to
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streamer transition from lightning rods," presented at XIII International
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Symposium on Lightning Protection, Balneário Camboriú, Brazil, 2015.
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(doi: 10.1109/SIPDA.2015.7339289)
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=== PAGE 12 ===
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The above papers are reprinted in the appendix with kind permission from the
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publishers: © IEEE 2014, 2015, 2016, 2017 and © IOP Institute of Physics 2016, 2017.
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Other contributions of the author, not included in the thesis
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VIII. L. Liu, M. Becerra, "A parallel projection method for the solution of
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incompressible Navier-Stokes equations based on position-state separation
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method," presented at the
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27th
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International Conference on Parallel
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Computational Fluid Dynamics, Montreal, Canada, 2015.
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=== PAGE 13 ===
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Contents
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1
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Introduction ........................................................................13
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1.1
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Examples of electrical discharge phenomena in air .......................... 14
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1.2
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Typical forms of electrical discharges in air ..................................... 15
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1.2.1 Fundamental processes in electrical discharges ........................................... 15
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1.2.2 Development of typical electrical discharges............................................... 16
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1.3
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Typical electrical discharge transitions in air.................................... 20
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1.4
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The motivation and context of this thesis.......................................... 21
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1.4.1 The motivation and aim................................................................................ 21
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1.4.2 The method and structure............................................................................. 23
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1.4.3 Author’s contribution................................................................................... 24
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2
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Towards an efficient numerical algorithm for corona
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discharge simulations .........................................................25
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2.1
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The simplest model for corona discharges in air............................... 26
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2.2
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Numerical challenges in solving the fluid model .............................. 27
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2.3
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An efficient numerical algorithm for corona discharges................... 29
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2.3.1 The position-state separation method........................................................... 29
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2.3.2 Applications to simulate glow and streamer discharges............................... 30
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3
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Physics of the glow-to-streamer transition in air ...............31
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3.1
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2D simulations of glow-to-streamer transition.................................. 32
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3.1.1 The formation of positive glow corona ........................................................ 32
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3.1.2 The mechanism of the glow-to-streamer transition...................................... 33
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3.2
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Efficient model for glow discharges considering the ionization layer
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........................................................................................................... 34
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4
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Physics of the streamer-to-leader transition in air .............35
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4.1
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Dynamics of streamer-to-leader transition ........................................ 36
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4.2
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The effect of humidity on the streamer-to-leader transition.............. 37
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5
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Application case study: analysing unusual lightning strikes
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............................................................................................39
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=== PAGE 14 ===
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5.1
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Observations of unusual lightning strikes ......................................... 40
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5.1.1 Lightning shielding failure in tall structures ................................................ 40
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5.1.2 Competition study of lightning receptors..................................................... 42
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5.2
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Effect of the glow-to-streamer transition in lightning strikes............ 43
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6
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Conclusions ........................................................................44
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7
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Future work ........................................................................46
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References ..................................................................................47
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=== PAGE 15 ===
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13
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1
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Introduction
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"The eternal mystery of the world is its comprehensibility."
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"If you can't explain it simply, you don't understand it well enough."
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"Imagination is more important than knowledge."
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Albert Einstein
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Electrical discharges are usually produced under strong electrical fields where electron
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multiplication occurs. They can be localized in high electric field regions such as in the
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case of corona discharges, or can propagate in the medium as in lightning discharges. This
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thesis will not deal with electrical discharges in solids or liquids, but will focus on the most
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common gaseous medium: air. Generally, an electrical discharge in air can be viewed as
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plasma, however, not vise versa (e.g. a flame is plasma but not an electrical discharge).
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The scientific research on electrical discharges in air started several hundreds of years
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ago. For example, the research of lightning is considered to have started with the American
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scientist Benjamin Franklin in 1746 when he conducted experiments on electricity [1]. His
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famous kite experiment in 1752 led him to define the sign of electrical charge and he
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concluded that the lower part of a thundercloud is usually negatively-charged [1]. The
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industrial applications of electrical discharges also date back to the 18th century. In 1770,
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English physicist Joseph Priestley discovered the erosive effect of electrical discharges,
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which led to the invention of electrical discharge machining technology [2]. Later in 1785,
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the Dutch chemist Martinus van Marum noticed that ozone can be produced by electrical
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sparking in oxygen [3]. Research on electrical discharges is not only an old, but also a
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prosperous subject with some discharge phenomena such as transient luminous events
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discovered only a few decades ago [4-6] and with emerging applications in industry [7-9].
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One type of electrical discharge can be transformed into another form under certain
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conditions. The condition required for such a transition to take place is thus of great
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interest to investigate, not only from the theoretical point of view, but also from the
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perspective of engineering applications.
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In the first part of this chapter (section 1.1-1.3), background regarding different forms
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of electrical discharges in air and their transitions are introduced. The second part (section
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1.4) is devoted to briefly describe the motivation and the structure of this thesis.
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=== PAGE 16 ===
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14
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1.1
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Examples of electrical discharge phenomena in air
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Electrical discharges in air widely exist in nature and industry. The most famous and
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common discharge phenomenon in nature is lightning, which is a rapid electrostatic
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discharge that usually happens during thunderstorms. Due to the electrification of
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thunderclouds, electrical discharges in nature occurs in several different ways, for example
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in cloud-to-cloud and cloud-to-ground flashes and in upper-atmospheric lightning such as
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blue jets, gigantic jets and sprites [6]. Figure 1.1 illustrates the different phenomena
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associated to lightning at different altitude in the atmosphere.
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On earth, lightning frequently strikes 40-50 times every second, of which about 25%
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correspond to cloud-to-ground lightning flashes [10]. Due to the flow of very large currents
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(several tens of kA) within a short time, lightning can injure people and damage or disturb
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directly or indirectly structures and their internal equipment [11]. Lightning is the second
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leading cause of weather-related death in the world [12]. In particular, lightning is a threat
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to tall grounded structures such as buildings, ultra-high voltage (UHV) power transmission
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lines and wind turbines.
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Figure 1.1 Conceptual sketch of different kinds of discharge phenomena in the atmosphere.
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Part of the illustration of electrical discharges in the upper atmosphere is adapted from [6]. An
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example of UHV power grid systems is shown to illustrate discharges commonly present in
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industrial applications.
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Elve
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Sprite
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Gigantic jet
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Blue jet
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Cloud to ground
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lightning
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Corona
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Glow
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െ
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െ
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െ
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െ
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+ +
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+
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+
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+ +
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െ
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െെ
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െ
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െ
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++
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+
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=== PAGE 17 ===
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15
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During thunderstorms, glow corona can be produced by towers (as illustrated in figure
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1.1), lightning rods, masts, chimneys and wind turbines due to the high electric field
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induced at the tip of these structures. The corona discharge usually emits a faint glow of
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light with blue or violet colour that can only be seen in the dark. The glow generated from
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masts was noticed by sailors several hundreds of years before Benjamin Franklin’s
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electrical experiments. The sailors viewed glow corona as a sign from the patron saint of
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the sailors, St. Elmo and thus named it as St. Elmo's fire [11].
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The most common electrical discharges in industry are corona discharges. For example,
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corona widely exists in high-voltage power transmission lines, as illustrated in figure 1.1.
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These corona discharges are undesirable since they can cause power energy loss, audible
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noise and insulation damage [13]. On the contrary, corona discharges are also very useful
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in technological areas such as the ozone production, surface treatment, and pollution
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control [7]. In industry, electric arcs are another type of electrical discharges that play an
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important role. Although electric arcs are undesirable in electrical devices such as switches
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and circuit breakers, they are widely used in welding, lighting, electrical discharge
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machining [9], etc.
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1.2
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Typical forms of electrical discharges in air
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1.2.1 Fundamental processes in electrical discharges
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As illustrated in figure 1.1, there are different kinds of electrical discharges in the upper
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atmosphere (developing under low air density) such as sprites, blue jets, gigantic jets, and
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elves. These phenomena have different properties compared to electrical discharges under
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atmospheric conditions. For example, sprites consist of thousands of growing channels
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with diameters of the order of tens to hundreds of meters [14]. On the other hand, they also
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share close similarities to discharges produced in the laboratory [15, 16]. For instance,
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large-scale sprites are physically similar to small-scale streamer dischargers in air at
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atmospheric pressure [17, 18], blue jets emit a fan of streamers similar to the streamer
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corona zone in front of laboratory leaders [19], and gigantic jets have similar
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characteristics as leader discharges in laboratory [20]. This thesis will not discuss the
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upper-atmosphere discharges and their transitions in details, but will focus on the
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traditional discharges at atmospheric pressure.
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Electrical discharges are plasmas consisting of six types of species: free electrons,
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atoms and molecules, excited atoms and molecules, positive ions, negative ions, and
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photons [21]. Among these species, free electrons are the most important specie which
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dominates the discharge process due to their special features. For example, electrons drift
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with velocities two orders of magnitude faster than ions under the same electric field.
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Figure 1.2 illustrates some typical fundamental processes where electrons are involved.
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=== PAGE 18 ===
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16
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For example, electrons can be produced by impact-ionization, photo-ionization, and
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detachment processes while they are lost through recombination with positive ions and
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attachment with neutral molecules to form negative ions. As shown in figure 1.2, electrons
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are usually bound in different energy levels. Electrons in low energy levels can ‘jump’ into
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high energy levels (through excitation), or even become free electrons by collisions or by
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electromagnetic radiation. Electrons in high energy levels can also ‘return’ to low energy
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levels and emit photons (through quenching). For a detailed introduction of these processes
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as well as the general kinetic theory of electrical discharges, the reader is referred to classic
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books in the subject such as [22-25].
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Figure 1.2 Sketch of typical fundamental processes of electrons in air.
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1.2.2 Development of typical electrical discharges
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The research of electrical discharges has a long history. After Benjamin Franklin, an
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important step in the research of gaseous discharges was taken by English chemist and
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physicist Sir William Crookes, who invented vacuum tubes in 1875 [26]. Shortly after,
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British physicist John Sealy Townsend proposed the famous theory of Townsend
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discharges around 1900 [27] to explain the breakdown characteristics in short gaps at low
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pressures. However, there are several experimental observations in longer gaps at high
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pressure which cannot be explained by Townsend theory. For instance, experimental
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measurements in cloud chambers show that electron avalanches propagate with a velocity
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much larger than the electron velocity under the applied electric field. In addition, it was
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Photons
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Photo-ionization
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Free electrons
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Detachment
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Attachment
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Recombination
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Photons
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Bound electrons
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Energy
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=== PAGE 19 ===
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17
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observed that the discharge can propagate not only towards the anode but also towards the
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cathode. These observations led scientists to define a different type of process: the streamer
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discharge. The theory describing streamers was proposed around 1940s, independently by
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L. B. Loeb and J. M. Meek [28, 29] and H. Raether [30].
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Including streamers, all electrical discharges require free electrons to get started. In air,
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few free electrons ݊are produced by background radiation such as terrestrial radiation
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and cosmic rays [15, 31], through the reaction
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M
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୰ୟୢ୧ୟ୲୧୭୬
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ሱۛۛۛۛۛሮMା+ ݁
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(1.1)
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where M denotes neutral molecules such as Nଶand Oଶ. The maximum electron density
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produced by background radiation at ground can be up to 10ସ cmିଷ[31].
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Under high electric fields, the number of free electrons ݊can increase exponentially
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with time ݐonce ionization frequency ݒexceeds attachment frequency ݒexpressed as
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|
݊(ݐ) = ݊exp[(ݒെݒ)ݐ]
|
|
(1.2)
|
|
In dry air, ݒ> ݒoccurs when the reduced electric field ܧ/ܰis larger than 120 Td (1 Td
|
|
= 10ଵ V cmଶ), where ܧis the electric field and ܰthe number density of air [32]. Once the
|
|
electric field is above the threshold when ݒ= ݒ, electron avalanches are produced. At
|
|
atmospheric pressure (with ܰ= 2.5 × 10ଵଽ cmିଷ), the electric field threshold ܧis around
|
|
30 kV cmିଵ.
|
|
Figure 1.3 (a) shows a cloud chamber photograph of a single electron avalanche. If the
|
|
net charge in the head of the avalanche is not sufficient to distort the electric field, the
|
|
avalanche moves with the electron drift velocity [7]. If secondary electrons are produced
|
|
during the lifetime of the avalanche, for example by photoionization as sketched in figure
|
|
1.3 (b), the avalanche can grow quickly into a streamer. There is a minimum radius of the
|
|
avalanche ݎ௦which is required for the streamer transition [33, 34]. At atmospheric
|
|
pressure, ݎ௦ൎ0.2 mm [33]. Figure 1.3 (c) is a cloud chamber picture showing the
|
|
transition from avalanches into a streamer.
|
|
|
|
=== PAGE 20 ===
|
|
18
|
|
Figure 1.3 (a) Typical cloud chamber photograph of a single electron avalanche, adapted from
|
|
[30]; (b) Conceptual sketch of the electron avalanche development under a uniform electric
|
|
field; and (c) Cloud chamber photograph showing the transition from avalanches into streamers
|
|
where the initial radius of the streamer ݎ௦is marked, adapted from [35].
|
|
The most common setup in the laboratory to produce electrical discharges is the point-
|
|
plate configuration, as illustrated in figure 1.4. This figure also illustrates different basic
|
|
forms of electrical discharges at atmospheric pressure. As the voltage applied to the
|
|
electrode increases, streamers can be firstly produced from electron avalanches as
|
|
described in the previous subsection. These streamers are generally known as pre-onset
|
|
streamers [26]. Depending on the applied voltage and gap distance, different forms of
|
|
electrical discharges can be produced. In short gaps under high voltage, streamers can
|
|
reach the opposite electrode leading to streamer breakdown, which usually develops into
|
|
an electric arc. Electric arcs can be sustained if the applied voltage is maintained. If the
|
|
produced streamers cannot bridge the gap, corona discharges will be formed. Under
|
|
electric fields slowly changing in time (e.g. under DC voltages), the discharge is self-
|
|
sustained in a limited region around the electrode. Depending on the electrode and applied
|
|
voltage, corona discharges usually have two typical modes, namely streamers with
|
|
filamentary structures and homogeneous glow [36, 37]. In long air gaps (> 1 m), the
|
|
current of a large number of branching filaments in a streamer can contract into distinct
|
|
stems. Leader discharges can be incepted if the stem of a streamer reaches a temperature of
|
|
about 2000 K [23, 38, 39]. If the electrostatic conditions are sufficient, the leader channel
|
|
acts as an elongation of the electrode since the electric field along the channel is rather
|
|
low. Then, the channel can propagate into the gap by thermalizing air through the current
|
|
collected from the streamer corona produced at its tip. The corona region ahead of the
|
|
leader tip is also known as the streamer zone. Figure 1.5 shows a typical streak image of
|
|
+
|
|
+
|
|
Anode
|
|
Cathode
|
|
+
|
|
+
|
|
+
|
|
+
|
|
+
|
|
+
|
|
+
|
|
+
|
|
+
|
|
+
|
|
+ +
|
|
+
|
|
- - - - -
|
|
- - -
|
|
- -
|
|
--
|
|
--
|
|
+
|
|
+
|
|
+
|
|
+
|
|
- --
|
|
- - -
|
|
- -
|
|
+ + +
|
|
E
|
|
݄ݒ
|
|
+
|
|
+ +
|
|
+
|
|
(a)
|
|
(b)
|
|
(c)
|
|
ݎ௦
|
|
|
|
=== PAGE 21 ===
|
|
19
|
|
positive leader propagation in a rod-plane gap in air, where the leader tip and the streamer
|
|
zone can be clearly seen. Leader discharges are the most important breakdown mechanism
|
|
in long air gaps (> 1m) [24]. Once the streamer at the tip of a leader channel reaches the
|
|
opposite electrode, leader breakdown occurs. In this case, an electric arc can also be
|
|
formed if the applied voltage is maintained.
|
|
Streamers and glow corona are non-thermal plasmas where the gas temperature is
|
|
usually low [7]. For this reason, streamers and glows are also classified as cold plasmas.
|
|
However, the electronic temperature of cold plasmas is much larger than the gas
|
|
temperature (translational temperature). Leader discharges and electric arcs are instead
|
|
thermal plasmas which much higher gas temperature (> 2000 K).
|
|
Figure 1.4 Sketch of typical electrical discharges in non-uniform fields at atmospheric pressure.
|
|
Electric arc
|
|
Streamer
|
|
breakdown
|
|
Pre-onset
|
|
streamers
|
|
Streamer
|
|
waves
|
|
Glow
|
|
corona
|
|
Voltage high
|
|
Increase the
|
|
voltage
|
|
Point-plate configuration
|
|
applied by a voltage
|
|
ܷ
|
|
ݐ
|
|
ܷ
|
|
ݐ
|
|
Leader
|
|
breakdown
|
|
Streamer
|
|
corona
|
|
Leader
|
|
Electric arc
|
|
|
|
=== PAGE 22 ===
|
|
20
|
|
Figure 1.5 Streak photograph of the propagation of a positive leader discharge in a rod-plane
|
|
gap in air. Photograph reprinted from [40] with permission.
|
|
1.3
|
|
Typical electrical discharge transitions in air
|
|
Figure 1.6 illustrates typical electrical discharge transitions at atmospheric pressure marked
|
|
as T1-T5. The short description of these transitions is given as
|
|
x
|
|
Avalanche-to-streamer transition T1: defines the formation of streamers as
|
|
introduced in section 1.2.2. The electron density of the avalanche has to reach
|
|
about 10ଵସcmିଷat atmospheric pressure [33] for this transition to occur.
|
|
x
|
|
Streamer-to-glow transition T2: describes the formation of glow corona from
|
|
pre-onset streamers, for example under a DC voltages as in [41]. Since the
|
|
applied voltage is not sufficient to cause a streamer breakdown or a leader
|
|
breakdown in the gap, glow corona discharges are restricted around the
|
|
surface of the electrodes and are uniformly distributed, as shown in figure 1.4.
|
|
x
|
|
Glow-to-streamer transition T3: glow corona discharges can be transformed to
|
|
other modes such as streamer bursts and breakdown streamers depending on
|
|
the voltage amplitude and the geometry [36]. In this thesis, however, the glow-
|
|
to-streamer transition refers to the transition from glow corona to streamers
|
|
under fast rising applied voltages, as shown in figure 1.4.
|
|
x
|
|
Streamer-to-leader transition T4: is defined by the formation of leader
|
|
discharges from streamer corona. The streamer-to-leader transition takes place
|
|
not only before the inception of a stable leader, but also during the leader
|
|
|
|
=== PAGE 23 ===
|
|
21
|
|
propagation. In this thesis, more attention is focused on the first stage, i.e., the
|
|
leader inception.
|
|
x
|
|
Breakdown-to-arc transition T5: describes the transition of any breakdown
|
|
process into an arc discharge. Electric arcs in air at atmospheric pressure
|
|
usually have much higher current and temperature (> 5000 K) than for leader
|
|
channels.
|
|
Figure 1.6 Conceptual sketch of different forms of electrical discharges and their transitions
|
|
under atmospheric pressure.
|
|
1.4
|
|
The motivation and context of this thesis
|
|
1.4.1 The motivation and aim
|
|
As mentioned before, electrical discharges have a long research history. However, our
|
|
knowledge of electrical discharges is still limited and many questions are still unsolved.
|
|
Let us take the most common and famous phenomenon of lightning as an example. Several
|
|
hundreds of years have passed after Benjamin Franklin conducted his experiments on
|
|
lightning. Nevertheless, one of the most basic and important questions of ‘how lightning is
|
|
initiated’ is still unsolved [1]. Another basic process poorly understood is the attachment of
|
|
Electron
|
|
avalanche
|
|
Corona
|
|
Leader
|
|
Electric arc
|
|
Streamer
|
|
T1
|
|
T4
|
|
T5
|
|
Glow
|
|
T2
|
|
T3
|
|
Streamer
|
|
zone
|
|
Leader
|
|
channel
|
|
Anode
|
|
Cathode
|
|
Current
|
|
Current
|
|
Electric
|
|
field
|
|
Breakdown
|
|
Short
|
|
gap
|
|
|
|
=== PAGE 24 ===
|
|
22
|
|
lightning flashes to grounded objects [42]. Although numerous models have been
|
|
developed to describe this process, the accurate simulation of the interaction of lightning
|
|
flashes with structures on the ground is still challenging [43]. Since lightning attachment is
|
|
a complex physical process, the existing models use rather crude approximations of the
|
|
different electrical discharges involved in order to reach a practical quantitative evaluation.
|
|
However, the simplifications assumed by these models, particularly those used to evaluate
|
|
the transitions between the different discharges, are still controversial. Hence, the debate
|
|
on the effect of glow corona on the lightning attachment has not been concluded yet,
|
|
mainly due to the lack of understanding of its transition into streamers [44]. Furthermore,
|
|
quantitative estimates of the condition necessary for streamers to transform into leaders are
|
|
still doubtful, especially when evaluating the attachment process after a first lightning
|
|
strike [45]. Thus, an opportune project to contribute to the research on lightning and other
|
|
applications is to investigate the physics behind these transitions.
|
|
This thesis aims to develop and use numerical simulation models in order to improve
|
|
the physical understanding of two electrical discharge transitions in air at atmospheric
|
|
conditions, namely the glow-to-streamer and the streamer-to-leader transitions marked
|
|
respectively as T3 and T4 in figure 1.6. Even though other electrical discharge transitions
|
|
are mentioned briefly in the text, they are outside the scope of this thesis. This is because
|
|
other transitions either are rather well understood or require too much work to go one step
|
|
further. For example, The first two-dimensional simulation of the avalanche-to-streamer
|
|
transition in a uniform field was performed by Dhali and Williams in 1987 [46], followed
|
|
by numerous simulations reported in the literature such as [47-52]. The transition from
|
|
avalanches to a single filamentary streamer is rather well understood. It is widely accepted
|
|
that the most important mechanism to provide secondary electrons in the avalanche-to-
|
|
streamer transition is photoionization by ultraviolet photons [53], as illustrated in figure 1.3
|
|
(b). In air where oxygen concentration is high (~21%), photons emitted by excited
|
|
nitrogen can ionize oxygen molecules [51]. While in pure nitrogen or in nitrogen with
|
|
extremely low oxygen concentration, it has been suggested that the predominant
|
|
mechanism to provide photons is the Bremsstrahlung (deceleration radiation) process
|
|
instead [54]. The next major breakthrough on the research on the avalanche-to-streamer
|
|
transition might be the understanding of the branching mechanism. However, a systematic
|
|
explanation for this problem is very difficult and challenging to accomplish [18, 52].
|
|
The first one-dimensional (1D) simulation of the streamer-to-glow transition under a
|
|
sudden applied DC voltage was conducted by Morrow in 1997 [41]. In the simulation,
|
|
Morrow observed ‘streamer-like’ ionizing waves were produced from a stable glow corona
|
|
if the applied voltage was raised rapidly [41]. However, streamers have filamentary
|
|
structures that cannot be described with a 1D model. Since the simulation of the transition
|
|
is a multiscale problem which is extremely time-consuming even in 1D, Paper I and
|
|
Paper II in the thesis have been aimed to develop a numerical algorithm to efficiently
|
|
|
|
=== PAGE 25 ===
|
|
23
|
|
solve corona discharge models. Based on this algorithm, a detailed two-dimensional (2D)
|
|
model is used in Paper III to describe the physics of the glow-to-streamer transition. Since
|
|
the evaluation introduced in Paper III is still impractical for the analysis of real objects in
|
|
lightning attachment studies, Paper IV is intended to develop a simplified model which
|
|
can properly take into account the relevant physical processes within the transition.
|
|
On the other hand, the streamer-to-leader transition occurs not only in front of the
|
|
electrode before leader inception, but also at the tip of a propagating leader. Although the
|
|
transition during the leader propagation is well understood [20, 55-57], the transition
|
|
dynamics before the inception of a stable leader has been less studied. This is the main
|
|
motivation of Paper V.
|
|
Paper VI and Paper VII introduce the first implementation of the model presented in
|
|
Paper III towards the analysis the transition of glow corona into streamers initiated from
|
|
shielding wires and lightning rods. These papers are aimed as a first step to the physical
|
|
analysis of the effect of glow corona on lightning attachment, especially for unusual
|
|
lightning strikes observed in UHV transmission lines and the lightning rods [44].
|
|
1.4.2 The method and structure
|
|
The main method to perform the study of these electrical discharge transitions is through
|
|
numerical modelling and simulation.
|
|
Depending on different scenarios, different
|
|
simplification and assumptions are used. Compared to the research through laboratory
|
|
experiments, the most obvious advantage of numerical simulations is that it can provide
|
|
detailed information on the microscopic and transient parameters, which are very difficult
|
|
to measure. However, the proposed numerical models need to be first validated by
|
|
comparison with the measured macroscopic parameters reported in the literature such as
|
|
the current-voltage characteristics before they are used.
|
|
The main content of the thesis is divided into additional six chapters. The 2D
|
|
simulation of the glow-to-streamer transition is a challenging problem from the perspective
|
|
of numerical techniques. To do this, Paper I and Paper II proposed an efficient numerical
|
|
algorithm for corona discharge simulation. Chapter 2 introduces the numerical challenges
|
|
in the numerical modelling of corona discharges and summarizes Paper I and Paper II.
|
|
Chapter 3 describes Paper III which deals with the physics of the glow-to-streamer
|
|
transition. In addition, an efficient and simplified physical model for glow corona
|
|
discharges proposed in Paper IV is also introduced. The dynamics of the streamer-to-
|
|
leader transition during leader inception presented in Paper V is summarized in Chapter 4.
|
|
Chapter 5 introduces Paper VI and Paper VII where the glow-to-streamer transition in the
|
|
lightning attachment process is analysed. Conclusions and future work are presented in
|
|
Chapter 6 and 7, respectively.
|
|
|
|
=== PAGE 26 ===
|
|
24
|
|
1.4.3 Author’s contribution
|
|
The author of the thesis is the first and communication author of Papers I-VII. The idea
|
|
and the solution algorithm for Paper I and Paper II were proposed by the author. The
|
|
research questions and scientific approach for the remaining papers were proposed by the
|
|
author and the supervisor. The development of all the computer code and the writing of
|
|
most part of the papers were performed by the author.
|
|
|
|
=== PAGE 27 ===
|
|
25
|
|
2
|
|
Towards
|
|
an
|
|
efficient
|
|
numerical
|
|
algorithm for corona discharge simulations
|
|
"GǀQJ\VKjQTtVKuˈEu[LƗQOuTtTu."
|
|
from L~Q\· (expressed in Chinese Pinyin)
|
|
"A workman must sharpen his tools if he wants to do his work well."
|
|
from Analects of Confucius (translation in English)
|
|
All the different forms of electrical discharges are essentially initiated from electron
|
|
avalanches. They have multiscale properties not only in space (from nm to km) but also in
|
|
time (from ns to s) [17]. The 3D structures of most discharges, such as the branching of
|
|
streamers, make their modelling challenging. Feasible modelling of electrical discharge has
|
|
to meet at least two conditions. First, the related physics have to be included, either with a
|
|
complicated or a properly simplified model. Second, the model can be numerically solved
|
|
within an acceptable time.
|
|
Electrical discharges are usually modelled in two different ways. The first one follows
|
|
a kinetic or particle description such as in Monte Carlo or Boltzmann transport simulation,
|
|
which has a resolution into the particle [14, 52] or superparticle-level [58]. Generally, the
|
|
kinetic models are highly time-consuming [59]. The other approach is the fluid model,
|
|
which is computationally more efficient and therefore is widely used in the literature [7,
|
|
60]. The fluid model of gas discharges is defined by several continuity equations (to
|
|
account for the development of the relevant species) coupled with Poisson’s equation (to
|
|
account for the distortion of the electric field by the generated space charge) [7]. The fluid
|
|
model for corona discharges is based on several important assumptions [7], including the
|
|
local field approximation which assumes that the electron energy distribution function is in
|
|
local equilibrium with the background gas. Theoretical analysis [48] and numerical
|
|
experiments comparing particle and fluid models [59, 60] have shown that the assumptions
|
|
of the fluid model generally holds and therefore it can be an alternative to the particle
|
|
model [7].
|
|
In this chapter, the numerical challenges of solving the fluid model are described and
|
|
an efficient numerical algorithm for corona discharges proposed in Paper I and Paper II is
|
|
introduced.
|
|
|
|
=== PAGE 28 ===
|
|
26
|
|
2.1
|
|
The simplest model for corona discharges in air
|
|
For cold plasmas like corona discharges, the effect of air heating is usually neglected such
|
|
that constant air temperature and pressure are assumed. An exhaustive description of the
|
|
kinetics of corona discharges in dry air is difficult [61] and even more complex in humid
|
|
air. Since the numerical simulation with a detailed kinetic scheme is very time-consuming,
|
|
simplified models are usually used. The simplest model usually assumes that corona
|
|
discharges are composed only of electrons, positive and negative ions, and excited species
|
|
considering averaged reaction rates [62]. The set of continuity equations describing these
|
|
species in air is reprinted from Paper III as
|
|
߲ܰ
|
|
߲ݐ= ܵ୮୦+ (ߙെߟ)ܰ|ࢃ| െߚܰܰ+ ݇ௗܱଶ
|
|
כܱଶ
|
|
ିെ ή [ܰ(ࢃ+ ࢝)]
|
|
(2.1)
|
|
߲ܰ
|
|
߲ݐ= ܵ୮୦+ ߙܰ|ࢃ| െߚܰܰെߚܰܰെ ή ൣܰ(ࢃ+ ࢝)൧
|
|
(2.2)
|
|
߲ܰ
|
|
߲ݐ= ߟܰ|ࢃ| െ݇ௗܱଶ
|
|
כܰെߚܰܰെ ή [ܰ(ࢃ+ ࢝)]
|
|
(2.3)
|
|
߲ܱଶ
|
|
כ
|
|
߲ݐ= ߙܰ|ࢃ| െ݇ௗܱଶ
|
|
כܰെܱ݇ଶ
|
|
כܱଶെ ή (ܱଶ
|
|
כ࢝)
|
|
(2.4)
|
|
where ݐis the time, ܰ, ܰ, ܰ, ܱଶand ܱଶ
|
|
כ are the number densities of electrons, positive
|
|
ions, negative ions, oxygen molecules and metastable oxygen molecules, respectively.
|
|
ࢃ, ࢃ, ࢃare the drift velocities for electrons, positive ions and negative ions taking the
|
|
background air as a reference. ࢝is the bulk velocity of background gas accounting for air
|
|
flow. Diffusion of all the particles is neglected since it plays a negligible role. The symbols
|
|
ߙ, ߟ, ߚ, ߙdenote the ionization, attachment, recombination coefficients and the rate of
|
|
creation of metastable molecules, respectively. ݇ௗ, ݇are the detachment rate coefficient
|
|
and quenching rate constant, respectively. ܵ୮୦is the photo-ionization rate. The transport
|
|
parameters and reaction rates in air are summarized in the appendix of Paper III.
|
|
The continuity equations are fully coupled with Poisson’s equation expressed as
|
|
ή ܧ= ݁
|
|
ߝ൫ܰെܰെܰ൯
|
|
(2.5)
|
|
where H is the permittivity of air, e is the electron charge and ܧis the electric field. There
|
|
are several challenges in solving the above fluid model. In the next subsection, these
|
|
challenges are described briefly.
|
|
|
|
=== PAGE 29 ===
|
|
27
|
|
2.2
|
|
Numerical challenges in solving the fluid model
|
|
The numerical modelling of electrical discharges is an interdisciplinary task, which
|
|
requires knowledge of plasma physics, computational fluid dynamics (CFD) and
|
|
computational electromagnetics. For electrical discharge simulations, a suitable numerical
|
|
method has to consider several aspects such as the accuracy and efficiency in solving the
|
|
continuity and Poisson equations, the flexibility in handing irregular geometries, and the
|
|
extensibility to high dimensions. In other words, a suitable numerical method should
|
|
x
|
|
be able to provide accurate and positivity-preserving solutions for the density
|
|
profile of the modelled species when solving continuity equations since
|
|
negative density solutions do not have any physical meaning;
|
|
x
|
|
be able to efficiently solve Poisson’s equation since it is highly coupled with
|
|
the continuity equations and it is calculated at each time step within a
|
|
simulation;
|
|
x
|
|
be able to handle unstructured meshes since the geometries where electrical
|
|
discharges present are often irregular such as point-to-plate configuration; and
|
|
x
|
|
be easily extended to high dimensions and other coordinate systems for
|
|
example cylindrical coordinate system which is frequently used due to axis
|
|
symmetry since 3D modelling is much more time-consuming.
|
|
There are several challenges when developing such a method. The first challenge
|
|
comes from the solution of continuity equations, which evaluate the variation of the
|
|
density of the modelled species. In general form, it is expressed as:
|
|
߲ߩ
|
|
߲ݐ+ ή (࢛ߩ) = ܵ
|
|
(2.6)
|
|
where ߩand ࢛are the number density and velocity of the modelled specie. ܵaccounts for
|
|
the sources and sinks due to reactions with other species. In electrical discharges, charged
|
|
species drift very fast under the electric field while the diffusion is much weaker. For such
|
|
kind of convection-dominated problems, the diffusion is usually neglected.
|
|
It is a challenge to solve continuity equations accurately since very sharp gradients in
|
|
density and velocity can also appear for example in the front of streamers (see Paper II).
|
|
Under these conditions, conventional numerical methods may encounter artificial
|
|
numerical oscillations or excessive numerical diffusion. Figure 2.1 shows an example of
|
|
the simulation results for a square test with the finite difference method (FDM) of first and
|
|
second order. The square test in the field of CFD simply means simulating the drift of a
|
|
square profile of density under a constant velocity field without any loss. It has been
|
|
|
|
=== PAGE 30 ===
|
|
28
|
|
widely used in the CFD area since the analytic solution is straightforward while the
|
|
accurate numerical solution is difficult due to the very sharp gradient at the edge of the
|
|
square profile. As shown in figure 2.1, the first order upwind method has serious numerical
|
|
diffusion compared to the analytic solution, while the second order scheme is less diffusive
|
|
but has numerical oscillations.
|
|
Figure 2.1 Comparison between the simulated results and the analytic solution in a square test.
|
|
One idea to improve the numerical method is to combine the advantages of both low
|
|
order and high order schemes, which was first introduced by Boris and Book in 1970s.
|
|
They developed the flux-corrected transport method (FCT) [63-65], which later was
|
|
successfully applied to the 2D simulation of the streamer propagation [46]. For a brief
|
|
review of other numerical methods used in the literature for corona discharge simulation,
|
|
the reader is referred to the introduction in Paper I.
|
|
The second challenge comes from the efficient solution of Poisson’s equations.
|
|
Different methods have been used in the literature, for example, the fast Fourier transform
|
|
algorithm [46], the symmetrical successive over-relaxation method [66], and the direct
|
|
SuperLU solver [67]. However, it is challenging to use FDM or the finite volume method
|
|
(FVM) to solve Poisson’s equations on unstructured meshes since the discretization is
|
|
more complicated than for structured meshes [68]. The most suitable method to handle
|
|
irregular geometries using unstructured mesh is the finite element method (FEM). FEM
|
|
combined with FCT [69] and diffusive stabilization techniques [70, 71] have also been
|
|
successfully employed in corona discharge simulations, such as in [72] and [73]. However,
|
|
these methods are not inherently positivity-preserving and numerical oscillations can take
|
|
place without extra imposed conditions.
|
|
|
|
=== PAGE 31 ===
|
|
29
|
|
2.3
|
|
An efficient numerical algorithm for corona
|
|
discharges
|
|
2.3.1 The position-state separation method
|
|
The aim of electrical discharge modelling is to calculate accurately the density of any
|
|
specie in space at any time. In other words, the simulation task is finished once the species
|
|
are solved as a function of time, position and state. When solving the continuity equation,
|
|
challenges arise since both the time and space discretization of the density are mixed in
|
|
one equation. To circumvent this, the transient solution of the position and the state of the
|
|
density can be split into two subproblems: the state equation which describes the state
|
|
change and the position equation which deals with the drift effect only. For example,
|
|
equation (2.6) can be divided into two different equations: the state equation
|
|
߲ߩ
|
|
߲ݐ= െߩ ή ࢛+ ܵ
|
|
(2.7)
|
|
which deals with the variation of the variable ߩdue to convective acceleration and the
|
|
reaction terms; and the position equation
|
|
߲ߩ
|
|
߲ݐ+ ࢛ή ߩ= 0
|
|
(2.8)
|
|
which determines the transport of the variable ߩby considering the linear convection only.
|
|
The state equation (2.7) can be solved on an appropriate mesh (named as the reference
|
|
mesh) to obtain the new density profile ߩכ at the next time step. This can be done with any
|
|
conventional numerical method because the discretization of space and time is performed
|
|
for different variables, i.e., ߩand ݑin equation (2.7) respectively. The position equation
|
|
(2.8) can be easily solved by integrating the ordinary differential equation
|
|
߲࢞
|
|
߲ݐ= ࢛
|
|
(2.9)
|
|
along the characteristic lines of the drift, resulting in a new mesh (named as the auxiliary
|
|
mesh). The state on the reference mesh can be obtained by interpolation from the auxiliary
|
|
mesh with the updated density ߩכ. For a detailed description of POSS, the reader is referred
|
|
to Paper I.
|
|
|
|
=== PAGE 32 ===
|
|
30
|
|
2.3.2 Applications to simulate glow and streamer discharges
|
|
One of the challenges for POSS is that the used linear interpolation is not mass-conserving,
|
|
which means the solution has serious numerical diffusion if very small time step is used, as
|
|
shown in Paper I. There are mass-conserving or shape-conserving algorithms available in
|
|
the literature such as [74]. However, mass-conserving interpolation on unstructured meshes
|
|
is complicated and time-consuming. The efficiency of POSS will be significantly reduced
|
|
if mass-conserving interpolation is used.
|
|
For glow corona discharges where the electric field changes slowly with time, large
|
|
time step can be used for POSS and thus the numerical diffusion caused by the
|
|
interpolation can be neglected. In Paper I, the POSS method has been successfully applied
|
|
to simulate the formation of positive glow discharges in a 1D co-axial spherical
|
|
configuration under a DC voltage. POSS is very efficient when simulating glow corona
|
|
discharges since the required time step can be much larger than that restricted by the
|
|
Courant–Friedrichs–Lewy (CFL) condition. Furthermore, POSS does not require the ‘flux
|
|
correction’ procedure which is usually very time-consuming on unstructured meshes.
|
|
However, very small time steps have to be used for streamer simulation where electric
|
|
fields change dramatically. In such a case, the chosen time step is determined by physical
|
|
characteristic times instead of being limited by the stability of the numerical algorithm.
|
|
Under such conditions, POSS will encounter excessive numerical diffusion caused by the
|
|
interpolation step, as shown in Paper I. In order to solve this problem, a multi-step
|
|
interpolation strategy is introduced in Paper II. The idea is to use a small time step to
|
|
capture the physical changes and use a larger time step for interpolation to avoid serious
|
|
numerical diffusion. Several reproducible streamer simulations in the literature are selected
|
|
as benchmark tests to show that POSS combined with FEM is a competitive alternative
|
|
method to simulate streamer discharges, especially in complex geometries. Although it is
|
|
difficult to compare different methods used to simulate streamers in the literature, a general
|
|
evaluation of different methods is possible. Paper II compares the total computation time
|
|
used in different methods. It is shown that the computation time with POSS is significantly
|
|
less than other approaches such as FEM-FCT and FVM-MUSCL (monotone upstream-
|
|
centered schemes for conservation law) [75]. Furthermore, POSS is more robust than other
|
|
FEM method such as FEM-FCT since it is inherently positivity-preserving as shown in
|
|
Paper I.
|
|
|
|
=== PAGE 33 ===
|
|
31
|
|
3
|
|
Physics
|
|
of
|
|
the
|
|
glow-to-streamer
|
|
transition in air
|
|
"Enter through the narrow gate; for the gate is wide and the road is easy that
|
|
leads to destruction, and there are many who take it. For the gate is narrow
|
|
and the road is hard that leads to life, and there are few who find it."
|
|
from Matthew 7-13,14
|
|
In industrial applications involving glow corona such as in ozone production, the generated
|
|
discharge should be as homogeneous as possible to obtain a high collision rate between
|
|
electrons and the background gas molecules [7]. In this way, the products yield can be
|
|
increased and the power consumption reduced. [76]. For this reason, the glow-to-streamer
|
|
transition has to be avoided. Glow discharges also occur in nature during thunderstorms as
|
|
mentioned in section 1.1. The space charge generated by glow corona can significantly
|
|
change the electric field distribution around grounded objects. As thunderstorms further
|
|
develop, upward streamers and leaders can be subsequently initiated such that the shielding
|
|
of the pre-existing glow space charge can play an important role. Thus, it is interesting to
|
|
investigate the conditions required for the glow-to-streamer transition to occur.
|
|
The layer where intensive ionization occurs in front of the anode during corona
|
|
discharges is usually difficult to simulate for long simulation times. One strategy to avoid
|
|
the complexity of resolving the ionization layer is to use Kaptzov’s approximation [77],
|
|
which neglects the electron dynamics in the discharge and assumes a boundary condition
|
|
to define the injection of unipolar ionic charges instead. The boundary condition forces the
|
|
surface electric field to stay at the onset field once corona is initiated. Kaptzov’s
|
|
approximation has been widely used to evaluate the effect of corona space charge on the
|
|
initiation of streamers under fast changing background electric fields [44, 78-81].
|
|
In the first part of this chapter, the investigation of the glow-to-streamer transition
|
|
without using Kaptzov’s approximation presented in Paper III is summarized. The second
|
|
part is dedicated to introduce an efficient physical model for evaluating glow corona and
|
|
the transition into streamers as proposed in Paper IV.
|
|
|
|
=== PAGE 34 ===
|
|
32
|
|
3.1
|
|
2D simulations of glow-to-streamer transition
|
|
3.1.1 The formation of positive glow corona
|
|
In order to assess the mechanism of the glow-to-streamer transition, it is worth to first
|
|
understand the dynamics of glow corona discharges. The theory of positive glow corona
|
|
was not well understood until the end of last century when Australian scientist Richard
|
|
Morrow performed a pioneering 1D simulation [41]. The general dynamics of such a
|
|
transition under a sudden positive DC voltage is summarized as follows:
|
|
x
|
|
As the applied voltage to the inner conductor (anode) exceeds the onset
|
|
voltage, the air close to the anode is ionized and pre-onset streamers are
|
|
produced.
|
|
x
|
|
Electrons and negative ions are absorbed by the anode while positive ions
|
|
move to the outer conductor (cathode).
|
|
x
|
|
As positive ions drift away from the anode, the electric field around the anode
|
|
increases sufficiently to ionize again the nearby air, forming a new space
|
|
charge layer.
|
|
x
|
|
The above-described process is repeated until a stable glow corona discharge
|
|
is produced, as shown in figure 3.1.
|
|
Figure 3.1 Sketch of the cross section view of a positive glow corona discharge under DC applied
|
|
voltage in a coaxial cylindrical configuration.
|
|
Inner conductor
|
|
Ionization layer
|
|
Space charge layer
|
|
Outer conductor
|
|
|
|
=== PAGE 35 ===
|
|
33
|
|
Morrow extended the FD-FCT to a non-uniform mesh in order to simulate a stable
|
|
glow corona in a spherical coaxial configuration with a 2 cm long air gap [82].
|
|
Nevertheless, such a 1D simulation took several days to finish for the several microseconds
|
|
required to reach a stable glow [50]. The speed up the simulation of glow corona discharge
|
|
including the ionization layer has been the main motivation to develop the POSS method
|
|
earlier introduced in Chapter 2.
|
|
3.1.2 The mechanism of the glow-to-streamer transition
|
|
Morrow observed in his numerical experiments that (1D) streamer-like ionizing waves
|
|
were produced from a stable glow corona if the applied voltage was raised rapidly [41].
|
|
However, streamers have filamentary structures that cannot be described with such a 1D
|
|
model. As a first approach, Paper III performs a 2D simulation of the glow-to-streamer
|
|
transition without Kaptzov’s approximation. The POSS method proposed in Paper I is
|
|
used to handle the difficulties associated to the convection-dominated continuity equations
|
|
in the simulation.
|
|
In Paper III, the generation of glow corona under DC voltage is first simulated. Once
|
|
the glow corona under DC voltage is formed, the applied voltage is raised with a constant
|
|
dV/dt rate. Since the space charge generated by glow corona in a coaxial cylindrical
|
|
configuration is uniformly distributed, the transition to filamentary streamers cannot be
|
|
produced unless either physical or numerical instabilities are included in the model. In
|
|
Paper III, three different types of instabilities are taken into account. It is shown that these
|
|
instabilities do not change the critical dV/dt required for the transition when filamentary
|
|
streamers are observed. The basic mechanism of the glow-to-streamer transition is
|
|
described as follows:
|
|
x
|
|
As the applied voltage is increased, the time for new produced positive ions to
|
|
drift away is reduced.
|
|
x
|
|
These ions accumulate around the surface of inner conductors, intensifying the
|
|
local distortion of the space charge and the electric field caused by the
|
|
introduced instability.
|
|
x
|
|
The inhomogeneity of the electric field in turn further increases the distortion
|
|
of the space charge due to increased ionization.
|
|
x
|
|
The homogeneity of the layered structure of glow corona is destroyed by the
|
|
formation of streamers.
|
|
One of the most interesting conclusions of Paper III is that streamers are easier
|
|
incepted from blunt corona generating electrodes than from sharp ones. This is because the
|
|
space charge drifts faster for sharper electrodes and thus the applied voltage has to be
|
|
increased at a faster rate for the space charge to start accumulating.
|
|
|
|
=== PAGE 36 ===
|
|
34
|
|
3.2
|
|
Efficient model for glow discharges considering
|
|
the ionization layer
|
|
The simulation of positive glow corona discharges with the fully-coupled physical model
|
|
(FPM) introduced in section 2.1 is extremely time-consuming, even in 1D. First, a very
|
|
small time step is required by the FPM to resolve electrons in the ionization layer since the
|
|
electrons drift two orders of magnitude faster than ions. Second, a finer mesh is also
|
|
required to discretize the ionization layer, further increasing the computational cost.
|
|
One strategy to simplify the simulation of corona discharges is to neglect the ionization
|
|
layer and to use Kaptzov’s approximation instead. Due to its simplicity, Kaptzov’s
|
|
approximation has been frequently in the literature [44, 83-85]. However, Paper III shows
|
|
that Kaptzov’s approximation does not hold under fast changing background electric fields.
|
|
Based on the detailed simulation of corona discharges with the FPM as presented in
|
|
Paper III, it was found that a simplified physical model (SPM) for glow corona discharges
|
|
can be formulated due to the following facts:
|
|
x
|
|
Electron avalanches only take place in a well-defined layer where ionization
|
|
exceeds attachment;
|
|
x
|
|
The electrostatic conditions in the computation region are mainly defined by
|
|
the ionic space charge since the density of electrons is more than two orders of
|
|
magnitude smaller than for ions;
|
|
x
|
|
Electrons are more than two orders of magnitude faster than ions; and
|
|
x
|
|
The source terms of photo-ionization ܵ୮୦, electron-ion recombination ߚܰܰ
|
|
and negative ions detachment ݇ௗܱଶ
|
|
כܱଶ
|
|
ିin the continuity equation for electrons
|
|
(equation (2.1)) are several orders of magnitude smaller than the effective
|
|
ionization (ߙെߟ)ܰ|ࢃ| in the ionization layer.
|
|
These facts allow us to assume that electrons reach quasi-steady state, i.e.
|
|
డே
|
|
డ௧= 0
|
|
within the characteristic time of ion drift. It has to be emphasized that the quasi-steady
|
|
state approximation for electrons here used is only valid for stable glow corona discharges.
|
|
Paper IV proposed the SPM to simulate glow corona discharges and their transition
|
|
into streamers. The model is validated by performing comparisons with the FPM and with
|
|
experimental data available in the literature for air under atmospheric conditions. It is
|
|
shown that the SPM can obtain estimates similar to those calculated with the FPM and
|
|
those measured in experiments but using significantly less computation time.
|
|
|
|
=== PAGE 37 ===
|
|
35
|
|
4
|
|
Physics
|
|
of
|
|
the
|
|
streamer-to-leader
|
|
transition in air
|
|
"A theory is a supposition which we hope to be true, a hypothesis is a
|
|
supposition which we expect to be useful; fictions belong to the realm of art; if
|
|
made to intrude elsewhere, they become either make-believes or mistakes."
|
|
George Johnstone Stoney
|
|
Leader discharges exist in long air gap laboratory discharges [24, 39], troposphere
|
|
lightning [1, 40] and upper atmosphere lightning such as blue jets and gigantic jets [16,
|
|
55]. A leader is a highly ionized, conductive and thermal channel with a temperature
|
|
ranging between 2000 and 6000 K [23]. Leader discharges in the length of 1~15 m can be
|
|
produced in laboratory with high impulse voltages where detailed observations and
|
|
measurements can be obtained. Laboratory experiments are important since a specific
|
|
measurement with sufficient space and time resolution of a natural lightning event or a ‘jet’
|
|
is very difficult. The leaders in much larger scales (1-100 km) are believed to have similar
|
|
characteristics as the leaders produced in the laboratory [16, 20, 40, 55]. In long air gap
|
|
discharges in laboratory, extensively studied by the Les Renardières group in 1970s [86-
|
|
89], the development of a positive leader discharge can be described as follows. First, the
|
|
first streamer corona is incepted as the applied voltage increases. The electric field
|
|
produced by the corona space charge counteracts the Laplacian field around the electrode,
|
|
resulting in a dark period. Then, several secondary streamer discharges (streamer bursts)
|
|
with dark periods in between may occur depending on the recovery of the electric field as
|
|
space charge drifts into the space and the applied voltage increases. Second, a leader
|
|
channel segment can be initiated if the gas temperature of any streamer stem reaches the
|
|
critical value of about 2000 K. Third, the leader may continue propagating into the gap if
|
|
the electrostatic conditions in front of the newly formed leader are sufficient. Otherwise, it
|
|
will be aborted. Finally, leader breakdown takes place once the streamer corona at the
|
|
leader tip reaches the opposite electrode, which is usually known as the ‘final jump’ [86].
|
|
The streamer-to-leader transition occurs in front of the electrode before the inception of
|
|
leaders as well as at the head of a propagating leader. Although the transition during the
|
|
leader propagation is well understood [20, 55-57], the transition dynamics before the
|
|
inception of a stable leader has been less studied. This is the most important motivation to
|
|
conduct the research presented in Paper V.
|
|
|
|
=== PAGE 38 ===
|
|
36
|
|
4.1
|
|
Dynamics of streamer-to-leader transition
|
|
In the previous studies of the streamer-to-leader transition during leader propagation [20,
|
|
55-57], a 1D thermo-hydrodynamic model was used. The model describes the cross section
|
|
of the streamer stem with a 1D radial coordinate system by neglecting axial variations and
|
|
assuming a constant current flowing in the axial direction. The radial electric field is
|
|
neglected while the axial field is computed from the current and conductivity of the cross
|
|
section using Ohm’s law. Several features of the streamer-to-leader transition during leader
|
|
propagation from these studies can be summarized as: (1) the stem of the streamer corona
|
|
has to reach temperatures larger than about 1 500~2 000 K in order to initiate a leader
|
|
discharge. (2) The stem is heated by the sum of the current produced by the streamers
|
|
within the streamer zone through Joule heating. (3) The heating process is governed by the
|
|
contraction of thermal channel which is triggered by a thermal-ionizational instability.
|
|
Several additional modifications to the thermo-hydrodynamic models available in the
|
|
literature are made in Paper V according to the facts described as follows. First, the 1D
|
|
model has limitations to estimate the density of charged species during the dark periods
|
|
due to the axial variation of the electric field in front of the electrode. These variations
|
|
cause changes of density for electrons and ions along the axial direction which cannot be
|
|
calculated. Second, experiments with Schlieren photography [90] have recently shown that
|
|
a single solitary stem is not necessarily formed before a leader is incepted under switching
|
|
voltage waveforms. Instead, several stems connected to the electrode can be produced by a
|
|
streamer, through which the streamer current is shared. Third, the initial condition of
|
|
previous studies [20, 55-57] usually assumes a fixed electron peak density ( 2 ×
|
|
10ଵସ cmିଷ) and the simulation results are extremely sensitive to the initial radius since the
|
|
current density of the stem changes significantly with the initial radius.
|
|
In Paper V, the analysis of the streamer-to-leader transition includes the simulation of
|
|
the corresponding streamer bursts, dark periods and aborted leaders that may occur. The
|
|
simulations are performed using as input the time-varying discharge current in two
|
|
laboratory discharge events reported in the literature [90], which are used as case studies.
|
|
The initial condition is defined according to the inception electric field instead of using a
|
|
fixed electron peak density. During the dark period after the streamer stops propagating,
|
|
the density of all the charged species are set to low background levels such that no joule
|
|
heating occurs during the dark period. Since the electric field does not affect the energy
|
|
relaxation by neutral species in the gas, their chemistry dynamics can be simulated during
|
|
the dark period. Moreover, the corona current in this simulation is simply divided by the
|
|
number of stems (assumed to be electrically similar) according to Schlieren photography
|
|
[90]. In Paper V, excellent agreement between the estimated and experimental thermal
|
|
radius for a 1m rod-plate air gap discharge has been found.
|
|
Another interesting conclusion found in Paper V is that the gas at the axis has to reach
|
|
|
|
=== PAGE 39 ===
|
|
37
|
|
a temperature much larger than the critical value (of 2000 K) to initiate a stable leader that
|
|
can propagate into the gap. This is because the gas temperature can drop due to very strong
|
|
convection losses taking place soon after the streamer-to-leader transition. If the
|
|
temperature after the drop falls below the critical value, the leader is aborted since the
|
|
thermalization cannot be sustained. On the contrary, the leader can propagate if the gas
|
|
temperature after the transition is higher than 2000 K after the convection loss.
|
|
4.2
|
|
The effect of humidity on the streamer-to-leader
|
|
transition
|
|
At standard temperature and pressure (STP) conditions, the concentration of water
|
|
molecule (H2O) can reach up to 3% (~22 g mିଷ). It seems that such a low percentage of
|
|
H2O can hardly affect the whole discharge processes. However, experiments indicate that
|
|
humidity does play an important role [88, 91].
|
|
In order to investigate the effect of humidity, Paper V proposed a detailed kinetic
|
|
scheme for N2/O2/H2O mixtures. The kinetic scheme includes the most important
|
|
reactions with the H2O molecule and its derivatives, resulting in a scheme with 45 species
|
|
and 192 chemical reactions. The effect of humidity on the electronic power partitioning
|
|
and the vibrational energy relaxation are also discussed and included in the model.
|
|
It has been suggested in the literature that humidity plays a significant role on the
|
|
thermalization of air through the V-T (vibrational-translational) relaxation [39]. However,
|
|
the simulations in Paper V show that the V-T relaxation has a weak effect on the gas
|
|
heating due to two main reasons. First, humidity weakly increases V-T relaxation and this
|
|
effect becomes weaker in the following discharges. Second, the V-T relaxation power has
|
|
a minor effect in the energy balance before a leader is formed since it is several orders of
|
|
magnitude smaller than other energy sources during most of the streamer-to-leader
|
|
transition. However, this conclusion is based on the assumption that humidity does not
|
|
affect the current density of a stem. Even though it is known that humidity reduces the total
|
|
charge injected by streamers [39, 88], there is unfortunately no experimental or theoretical
|
|
knowledge about the effect of humidity on the current density of stems. Figure 4.1 shows
|
|
an example of the photograph of streamer corona discharges in dry and humid air
|
|
condition. As it can be seen, humidity plays an important role in streamer corona
|
|
discharges [91]. The observations indicate that further studies on the formation of the
|
|
streamer stem are required to fully assess the effect of water content on the streamer-to-
|
|
leader transition.
|
|
|
|
=== PAGE 40 ===
|
|
38
|
|
Figure 4.1 Influence of humidity on streamer corona discharges in a 0.9 m rod-plane gap. (a)
|
|
5 g mିଷ(b) 32 g mିଷ. Images adapted from [91] with permission.
|
|
Laboratory experiments have shown that humidity can significantly reduce the duration
|
|
of the dark period [39]. Paper V indicates that humidity weakly influences the dynamics
|
|
of the stem as long as the same initial conditions and input discharge current are used in
|
|
the simulation. Thus, the effect of humidity on the dark period appears to be mainly
|
|
explained by the reduction of the electrostatic shielding produced by the streamer space
|
|
charge.
|
|
In Paper V, the developed model is also compared with the widely-used model of
|
|
Gallimberti. The model proposed by Gallimberti was derived considering several
|
|
simplifying assumptions, for example, the electric field of the stem was assumed constant,
|
|
the radial variations of the chemistry and the gas flow were neglected and the vibrational-
|
|
translational relaxation was simplified with an equivalent time constant as a function of
|
|
temperature and humidity only. However, the simulation and analysis performed in
|
|
Paper V show that the assumptions used by the model of Gallimberti do not hold when
|
|
evaluating the streamer-to-leader transition.
|
|
(a)
|
|
(b)
|
|
|
|
=== PAGE 41 ===
|
|
39
|
|
5
|
|
Application
|
|
case
|
|
study:
|
|
analysing
|
|
unusual lightning strikes
|
|
"Physics is, hopefully, simple. Physicists are not."
|
|
"The science of today is the technology of tomorrow."
|
|
Edward Teller
|
|
As mentioned in section 1.1, lightning is a threat to tall grounded structures such as
|
|
buildings, UHV power transmission lines and wind turbines. The belief that lightning was
|
|
so powerful that only gods and goddesses could generate and control it dominated early
|
|
civilizations [92]. Since the mid-eighteenth century, science has helped to explain the
|
|
nature and formation of lightning [93]. From then on, different lightning protection
|
|
methods are used to protect these structures against lightning strikes. For example, power
|
|
transmission lines are protected by shielding lines (earth lines) and tall buildings are
|
|
protected by lightning rods. However, it is found that these devices sometimes can fail to
|
|
protect a structure. This is generally known as a lightning shielding failure.
|
|
Thunderclouds are usually negatively charged and produce a background electric field
|
|
ܧup to for example 20 kV mିଵnear the ground [94]. During thunderstorms, high
|
|
voltages can be induced at the tips of tall grounded objects. As a result, positive glow
|
|
corona can be initiated as it has been mentioned in section 1. With the presence of a
|
|
downward lightning leader approaching these glow generating objects, upward streamers
|
|
can be initiated (glow-to-streamer transition), followed by the inception of upward
|
|
lightning leaders (streamer-to-leader transition).
|
|
It is widely known that the space charge generated by the glow corona can weaken and
|
|
smooth the electric field around corona-generating surfaces. It is of great interest to know
|
|
the effect of space charge on the glow-to-streamer transition, which has been previously
|
|
studied with 1D models [56, 78-80, 95-101] and 2D models [44, 83] using Kaptzov’s
|
|
approximation. One of the motivations of Paper III is to investigate the effect of space
|
|
charge without using Kaptzov’s approximation, i.e., with consideration of the ionization
|
|
layer. The idea has been used to analyse the effect of space charge on the glow-to-streamer
|
|
transition for horizontal conductors and lightning rods in Paper VI and Paper VII.
|
|
In this chapter, the work of Paper VI and Paper VII is summarized. Unusual lightning
|
|
strikes to tall grounded structures are discussed.
|
|
|
|
=== PAGE 42 ===
|
|
40
|
|
5.1
|
|
Observations of unusual lightning strikes
|
|
5.1.1 Lightning shielding failure in tall structures
|
|
The electrogeometric method (EGM) [102] has been widely used to evaluate the lightning
|
|
protection of transmission lines due to its simplicity and fair agreement with early field
|
|
observations [103]. The EGM method calculates the geometric exposure zone of a
|
|
conductor to downward lightning leaders according to the prospective return stroke peak
|
|
current (ܫ୮). The exposure zone is determined by an arc with radius ݎୱfrom the conductor
|
|
surface, as shown in figure 5.1. The radius ݎୱis calculated with an empirical formula
|
|
expressed as ݎୱ= ܽܫ
|
|
, where ܽand ܾare coefficients tuned based on field observations.
|
|
Figure 5.1 Sketch of the cross section view of a typical UHV transmission lines used in Japan
|
|
and the lightning exposure zone calculated from EGM.
|
|
As shown in figure 5.1, shielding wires are generally arranged on the outside of phase
|
|
conductors forming a negative protection angle [102]. In this way, the shielding wires
|
|
should be able to protect well the phase conductors according to the EGM, at least for the
|
|
upper phase lines as shown in figure 5.1. However, shielding failures for ultra-high voltage
|
|
power transmission lines have been observed as shown in figure 5.2. Similar shielding
|
|
failures have also been reported for tall towers. For example, figure 5.3 shows that the
|
|
lightning termination at the tip of a tower sometimes can fail to protect the tower itself
|
|
[40].
|
|
108 m
|
|
92 m
|
|
71 m
|
|
50 m
|
|
19 m
|
|
16 m
|
|
Downward
|
|
lightning
|
|
leader
|
|
Ƚ
|
|
Upper phase
|
|
Shielding lines
|
|
Middle
|
|
phase
|
|
Lower
|
|
phase
|
|
ݎୱ
|
|
ݎୱ
|
|
|
|
=== PAGE 43 ===
|
|
41
|
|
Figure 5.2 Lightning stroke to the upper phase of a UHV transmission line (operated at 500
|
|
kV). Photographs were taken on July 22, 2000 (top) and July 9, 1998 (bottom), respectively.
|
|
Photographs reprinted from [104] with permission © IEEE 2007. The cross section view of
|
|
the tower shown in the top image is given in figure 5.1.
|
|
Figure 5.3 The lightning stuck the Ostankino Television Tower over 200 m below its top.
|
|
Photograph reprinted from [40] with permission.
|
|
|
|
=== PAGE 44 ===
|
|
42
|
|
5.1.2 Competition study of lightning receptors
|
|
In 1990s, Moore and his team conducted a series of field experiments aiming to investigate
|
|
the performance of Franklin rods [105, 106]. The lightning rods with different radii were
|
|
installed on about 3300 m high mountains in New Mexico, US. The lightning rods are
|
|
arranged with several meters distance between each other, as show in figure 5.4 (a). Their
|
|
results show that none of the sharp rods with diameter D < 1 cm or too blunt rods with
|
|
diameter D > 5 cm was struck in seven summer thunderstorm seasons. On the contrary, all
|
|
lightning strikes were received by moderate blunt rods, as shown in figure 5.4 (b). These
|
|
field observations are counter-intuitive because sharp-tipped rods are generally viewed as
|
|
more efficient lightning receptors since the electric field around them is higher and
|
|
strongly non-uniform.
|
|
Figure 5.4 (a) Photograph of the experimental setup and (b) photograph of six blunt lightning
|
|
rods used in the field tests conducted by Moore et al [105]. The images are reprinted from
|
|
[105] with permission.
|
|
D = 1.27 cm
|
|
D = 1.90 cm
|
|
D = 2.54 cm
|
|
|
|
=== PAGE 45 ===
|
|
43
|
|
5.2
|
|
Effect of the glow-to-streamer transition in
|
|
lightning strikes
|
|
Section 5.1 presented several field observations showing that lightning can strike grounded
|
|
structures in an unusual way, especially when they are very tall (ذ 100 m) or they are
|
|
installed on high buildings or mountains. There are only a few explanations to unusual
|
|
lightning shielding failures in the literature. For example, the shielding failure of the TV
|
|
tower shown in Figure 5.3 has been attributed to the stochastic nature of lightning [40]. In
|
|
order to qualitatively complement the existing analyses of such observations, a first
|
|
evaluation of the glow-to-streamer transition in the attachment of lightning to grounded
|
|
objects has been presented in Paper VI and Paper VII.
|
|
Thus, UHV transmission lines are modelled as perfectly cylindrical, coaxial and
|
|
grounded conductors in Paper VI. Since bundle conductors are usually used in UHV
|
|
transmission lines to reduce the energy loss due to corona discharge, the glow-to-streamer
|
|
transition from a scaled bundle conductor is firstly studied. It is found that the bundle
|
|
conductors could be viewed as a single conductor with the equivalent geometric mean
|
|
radius of the wire configuration when evaluating the condition required for the glow-to-
|
|
streamer transition. As concluded in Paper III, it is easier for streamers to be incepted
|
|
from blunt corona generating electrodes than for sharp ones. Thus, it becomes easier for
|
|
the glow-to-streamer transition to take place from the phase conductors since the geometric
|
|
equivalent radius is significantly larger than the physical conductor radius, as estimated in
|
|
Paper VI. However, this conclusion is based on several simplifications as noticed in
|
|
Paper VI. In reality, the asymmetry of the transmission lines, the protrusions on the
|
|
conductors, the wind or rain, the operating voltage, and the 3D geometry of the
|
|
transmission lines and the downward lightning leaders might also play an important effect
|
|
on the conditions for the glow-to-streamer transition to take place.
|
|
Similar analysis applies to the case of the lightning shielding failure to the TV tower
|
|
shown in Figure 5.3. In Paper VII, a scaled lightning rod with cylindrical body and
|
|
hemispherical tip (as used in Moore’s experiments [105]) is modelled. The numerical
|
|
simulations show that streamers can be incepted from the body of a lightning rod under the
|
|
influence of downward stepped leaders, even a distant one. Thus, it can be easier for
|
|
streamers to be incepted from the body of a grounded tower rather than from its tip.
|
|
Similar to the above explanations, the observations taken by Moore et al can also be
|
|
partially explained by the effect of glow corona. The photographs in figure 5.4 (b) show
|
|
that lightning can also strike to the body of the rod as implied and predicted by the
|
|
simulations in Paper VII. However, further theoretical or experimental work is required to
|
|
assess a full understanding of the observations.
|
|
|
|
=== PAGE 46 ===
|
|
44
|
|
6
|
|
Conclusions
|
|
In this thesis, the work of Papers I-VII is summarized aiming to provide a better physical
|
|
understanding of electrical discharge transitions in air. The main work and conclusions are
|
|
listed as below.
|
|
In Paper I and Paper II, an efficient semi-Lagrangian algorithm referred to as the
|
|
position-state separation method (POSS) is proposed for the simulation of corona
|
|
discharges. Several benchmark tests are conducted to demonstrate the low computational
|
|
cost, robustness, and high-resolution of POSS to solve convection-dominated continuity
|
|
equations. For the simulation of corona discharges where the velocity field is weakly
|
|
changing in time, the solution with POSS is not restricted by the CFL condition when
|
|
solving the continuity equations. Therefore, a time step significantly larger than that for
|
|
explicit Eulerian methods can be used. POSS can also be used to simulate filamentary
|
|
streamer discharges where electrical field changes dramatically in space and time. Without
|
|
flux correction and combined with a finite element method, POSS is easy to be
|
|
implemented on arbitrary geometries. In summary, POSS is an accurate, efficient and
|
|
stable alternative method to simulate electrical discharges.
|
|
In Paper III, the 2D numerical simulation of the glow-to-streamer transition under a
|
|
fast changing background electric field is presented. It is found that the surface electric
|
|
field of a glow corona generating electrode deviates from the onset electric field.
|
|
Therefore, Kaptzov’s approximation does not hold and the ionization layer should be
|
|
considered. During the glow-to-streamer transition, the electronic current increases
|
|
significantly by at least two orders of magnitude within several hundreds of nanoseconds.
|
|
The more glow corona space charge is generated from the electrode, the higher critical rate
|
|
of rise of the applied voltage is required for the glow-to-streamer transition. Thus, it is
|
|
easier for streamers to be incepted from blunt corona generating rods than from sharp ones.
|
|
In Paper IV, a simplified physical model (SPM) for simulation of glow corona and its
|
|
transition into streamers is proposed. The SPM is verified by comparisons with the fully
|
|
coupled physical model (FPM) and validated with experimental results available in the
|
|
literature for discharges in air under atmospheric conditions. The SPM is proposed as a
|
|
computationally efficient alternative to calculations of glow corona discharges based on
|
|
Kaptzov’s approximation. It is shown that the SPM can obtain similar results compared
|
|
with the FPM for stable glow corona and its transition into streamers. With an efficient
|
|
segregated numerical strategy to handle electrons, the SPM is three orders of magnitude
|
|
faster than the FPM. This enables the efficient simulation of glow corona and the transition
|
|
into streamers considering the ionization layer, even for configurations with large
|
|
interelectrode gaps and for long simulation times.
|
|
In Paper V, the dynamics of streamer-to-leader transition prior to the leader initiation
|
|
|
|
=== PAGE 47 ===
|
|
45
|
|
in long air gap discharges is investigated with a thermo-hydrodynamic model and a
|
|
detailed kinetic scheme of N2/O2/H2O mixtures. It is found that although a small
|
|
percentage of water molecules can accelerate the vibrational-translational relaxation to
|
|
some extent, this effect leads to a negligible temperature increase during the streamer-to-
|
|
leader transition. It is also found that the gas temperature should significantly exceed
|
|
2000 K for the transition to lead to the inception of a propagating leader. Otherwise, the
|
|
strong convection loss produced by the gas expansion during the transition causes a drop in
|
|
the translational temperature below 2000 K, aborting the incepted leader. Furthermore, it is
|
|
shown that the assumptions used by the widely-used model of Gallimberti do not hold
|
|
when evaluating the streamer-to-leader transition.
|
|
In Paper VI and Paper VII, 2D simulations on the glow-to-streamer transition are
|
|
performed for horizontal conductors and lightning rods, respectively. It is suggested that it
|
|
is easier for streamers to be initiated from corona generating bundle conductors than from
|
|
single conductors. It is shown that a bundle conductor could be viewed as a single
|
|
conductor with the equivalent geometric mean radius of the wire configuration when
|
|
evaluating the critical rate of rise of the background electric field during thunderstorms. It
|
|
is also concluded that the glow space charge generated by lightning rods cannot hinder
|
|
streamers to be incepted under the fast changing background electric field produced during
|
|
thunderstorms. For example, even with the presence of a distant downward stepped leader,
|
|
streamers can be incepted from the body of the lightning rod. Paper VI and Paper VII
|
|
indicate that glow corona generated from the tall grounded structures plays a significant
|
|
role in the attachment of lightning to structures.
|
|
|
|
=== PAGE 48 ===
|
|
46
|
|
7
|
|
Future work
|
|
Paper I and Paper II proposed an efficient numerical algorithm to simulate electrical
|
|
discharges. It has been combined with the finite element method, aiming to make it capable
|
|
to handle arbitrary geometries. There are several possible further improvements for POSS
|
|
that can be done. First, second order shape functions can be used in finite element
|
|
formulation of POSS to reduce the unknowns. Second, the problem of mass-conservation
|
|
requires a rigorous discussion from the mathematic point of view. Third, the efficiency of
|
|
interpolation can be further improved in later studies.
|
|
Paper IV proposed an efficient model for glow corona discharges which can predict
|
|
the self-oscillations in current produced by positive glows. Several experiments in air and
|
|
at atmospheric pressure are used as benchmarks to verify the model. Even though the
|
|
assumptions used in the model are independent of the gas medium and gas pressure, the
|
|
comparison between simulations with available experiments under other conditions
|
|
(different gas and pressure) in the literature is required. Moreover, the simplest fluid model
|
|
is used in Paper IV, which means that all the positive ions have the same mobility and
|
|
reaction rates with other species. The next step is to use a fluid model with a more
|
|
elaborated kinetic scheme as in Paper V to further investigate the kinetic dynamics of
|
|
glow corona discharges. In addition, the humidity effect on the glow corona discharges can
|
|
be assessed in the future.
|
|
In Paper V, the dynamics of the streamer-to-leader transition is evaluated for two
|
|
discharge events in a 1 m rod-plate gap. In the future, the model can be used to investigate
|
|
the charge dynamics of such a transition in a general case, for example, to calculate the
|
|
injected charge required to initialize leaders in nature. In Paper V, it is suggested that
|
|
humidity plays an important role in the avalanche-to-streamer transition which was poorly
|
|
understood. The next step is thus to perform the simulation of streamer filaments with a
|
|
detailed kinetic scheme as proposed in Paper V.
|
|
Since electrons can be considered, the model proposed in Paper IV can be applied in
|
|
the future for other applications where the widely used Kaptzov’s approximation may not
|
|
hold. For instance, in hybrid UHV AC/DC transmission lines, the space charge injected
|
|
into the space is not monopolar and thus it is not straightforward to apply Kaptzov’s
|
|
approximation.
|
|
In Paper VI and Paper VII, the simulations of glow-to-streamer transition were
|
|
conducted for scaled configurations. The next step is to perform simulations for real cases
|
|
with the efficient model proposed in Paper IV. For example, both shielding lines and
|
|
phase lines can be simulated together in a 2D Cartesian coordinate system. In this way, the
|
|
space charges injected from those conductors are coupled together and a more complete
|
|
evaluation of the glow-to-streamer transition can be performed.
|
|
|
|
=== PAGE 49 ===
|
|
47
|
|
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=== PAGE 51 ===
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49
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