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Scuola Superiore Sant'Anna Advances in Airborne Wind Energy and Wind Drones PDF

220 Pages·2017·4.04 MB·English
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Scuola Superiore Sant’Anna Tecip Institute, via Moruzzi 1, Pisa, Italy PhD Thesis in Emerging Digital Technologies Advances in Airborne Wind Energy and Wind Drones Antonello Cherubini Tutor: Prof. Marco Fontana Reviewers: Prof. Roland Schmehl Prof. Philip Bechtle 2 Preface and Acknowledgements WhenIfirststartedmyPhDprogramatScuolaSuperioreSant’Anna in Pisa I never imagined the vibrant, educational, constructive and inspiring environment that I found. I still don’t know what makes thisplacesogoodforresearch,itmightbethebalancebetweensunny summers and rainy winters, or the left-wing, dirty and warm city, or the amount of artists and philosophers outside the laboratory, or simply a strong tradition of science and engineering. After all, this is where Galileo was from. In Pisa it is easy to meet new people and share your thoughts with them, I will always remember some of the bestconversationsofmylifeduringrandomnightswithpeoplewhose name I can hardly remember. It seems that good brainstorming, creative thinking, games and art are rooted deep inside this place. Scuola Sant’Anna is a tiny and beautiful university in Pisa, born 30yearsago, andnowinthetoptenworldrankingoftheyounguni- versities. Few people outside Italy know it, but whoever has known Sant’Anna has good words for it. I am glad and proud to have been part of it and I hope that this thesis and my publications will be a small piece of the big puzzle of innovation that mankind needs in a world where resources are always less and demand is always more. The list of people that I should thank is fairly long and it goes more or less like this. First, I wish to thank my supervisor, Prof. Marco Fontana, the kindest of all bosses and a really really bright mind. Thank you Marco, you are a master to me. Special thanks to my colleagues Giacomo and Gastone for their deep daily conversa- tions in our tasty and lovely canteen and their constructive attitude. Thanks also to: Prof. Roland Schmehl for trusting me, Pietro Fag- 3 giani and Eduardo Terzedis for their pasta-time in the Dutch days, Prof. Philip Bechtle for making me feel an important guest by let- ting an engineer teach physics in a physics department, Ing. Fabio Calamita, Nicola Giulietti and Marco Marzot for their patience in reading some of my works, Ing. Basilio Lenzo for sharing with me many dance floors and nights, Marcello Corongiu for being an inspi- ration, Aldo Cattano for asking me to join his team. Many thanks the numerous players in the Airborne Wind Energy field who gave me their feedbacks and comments. Thanks to Mr. Riccardo Renna, former administrator in the Kitegen team, for his support and his ability to look deep inside people and a final big thank you to my parents and my girlfriend for never having asked that silly question ‘When are you going to find a real job?’ Hoping that the reader of this thesis will find this work useful, I wishtoaddthatthefooterofthisthesiscontainsaflipbookanimation where the reader can already see a dual drone system taking off! 4 Abstract Among novel technologies for producing electricity from renewable resources, a new class of wind energy converters has been conceived underthenameofAirborneWindEnergySystems(AWESs)orWind Drones (WDs). This new generation of systems employs flying teth- ered wings or aircraft in order to reach winds blowing at atmosphere layers that are inaccessible by traditional wind turbines. The economics of AWESs is very promising for mainly two rea- sons. First, winds high above ground level are steadier and typ- ically much more powerful, persistent and globally available than those closer to the ground, and second, the structure of AWESs is expected to be orders of magnitude lighter than conventional wind turbines.Theseplantsarethereforeinterestingfortheirpotentialhigh power density, i.e. ratio between nominal power and weight of re- quiredconstructions,thatmakesitpossibletoforecastalowLevelized Cost of Energy (LCOE) for the produced electricity. Despite this interesting potential, two important issues might be a major limitation to AWESs development. First, the large require- ment in terms of airspace and the related safety issues, and second, the power dissipation through the aerodynamic cable drag. In a scenario where AWESs beat conventional wind turbines in terms of LCOE, the large airspace requirement is a logistic constraint that might slow down the economic development of AWESs, but the rela- tively small size/weight of AWESs foundations might be a key factor that enables the development of inexpensive floating offshore plat- forms thus solving the airspace limitations thanks to practically un- limited sea area. A significant part of this thesis investigates the performance of floating offshore AWESs by means of dynamic mod- els, first with a single Degree of Freedom (D.o.F.) of the floating platform, then with a more complex multi D.o.F. model. The second issue, the aerodynamic cable drag, is a physical con- straint that is already limiting the potential of AWESs. In short, in order to reach higher altitudes, current AWESs must increase the cable length, but the power that would be dissipated by sweep- ing a longer cable through the air exceeds the power that would be gainedfromstrongerwindsathigheraltitudes. Thispreventscurrent AWESs from working at very high altitudes where the jet streams carry up to 15.5 kW/m2 of wind power density. A possible solution to this second problem is represented by a 5 dual Wind Drone architecture in which two aircrafts, with on-board generators, are connected to the ground with a ‘Y’ shaped tether- ing; a concept that was first envisioned in 1976. At that time it was hard to envision a real operation of this system but recent studies are starting to investigate this concept in more detail. The last two chapters contain an attempt to estimate the power output of a large scale dual Wind Drone system and a proposal for a novel take-off method that might enable a first implementation of the dual Wind Drone system. It is first introduced a power model that captures the most significant real-world issues such as the effect of the weight of airborne components, the limits of structural/electrical elements, andconsiderstake-offconstraints. Anumericalcasestudyisanalyzed considering a large scale system in Saudi Arabia. For such a device, the power curve is computed and, using real wind data, a nominal power output of approximately 15 MW with 30% capacity factor is estimated. Finallyanexperimentalcampaignthatwascarriedoutin TU Delft is described. In that campaign a take-off system for dual drones inspired to the so called ‘control line flight’ was investigated. The passive flight stability of a single wind drone in axi-symmetric configurationisapositiveexperimentalevidencethatencouragesfur- ther research in dual drone systems. 6 Contents Introduction 13 1 AirborneWindEnergy: stateoftheartandliterature review 17 1.1 Availability of Airborne Wind Energy . . . . . . . . . 18 1.2 Classifications of Airborne Wind Energy Systems . . . 19 1.3 Ground-Gen Airborne Wind Energy Systems . . . . . 20 1.3.1 Ground-Gen systems architectures and aircraft 23 1.3.2 Fixed-ground-stationsystemsunderdevelopment 26 1.3.3 Moving-ground-stationsystemsunderdevelop- ment . . . . . . . . . . . . . . . . . . . . . . . . 34 1.4 Fly-Gen Airborne Wind Energy Systems . . . . . . . . 35 1.4.1 Aircraft in Fly-Gen systems . . . . . . . . . . . 35 1.4.2 Fly-Gen systems under development . . . . . . 38 1.5 Crosswind flight: the key to large scale deployment . . 40 1.5.1 Crosswind GG-AWESs . . . . . . . . . . . . . . 42 1.5.2 Crosswind FG-AWESs . . . . . . . . . . . . . . 44 1.6 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . 46 1.6.1 Effect of flying mass . . . . . . . . . . . . . . . 46 1.6.2 Rigid vs Soft Wings . . . . . . . . . . . . . . . 46 1.6.3 Take-off and landing challenge . . . . . . . . . 46 1.6.4 Optimal altitude . . . . . . . . . . . . . . . . . 47 1.6.5 Angle of attack control. . . . . . . . . . . . . . 47 1.6.6 Cables . . . . . . . . . . . . . . . . . . . . . . . 48 1.6.7 Business opportunities . . . . . . . . . . . . . . 50 1.7 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . 50 7 CONTENTS 2 Simplifiedmodelofoffshoreairbornewindenergycon- verters 53 2.1 Offshore AWES . . . . . . . . . . . . . . . . . . . . . . 54 2.2 Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 2.2.1 Hydrodynamic model . . . . . . . . . . . . . . 57 2.2.2 Aerodynamic model . . . . . . . . . . . . . . . 59 2.2.3 Integrated model . . . . . . . . . . . . . . . . . 61 2.2.4 Control . . . . . . . . . . . . . . . . . . . . . . 62 2.2.5 Combined wind-wave power output . . . . . . . 63 2.3 Case study . . . . . . . . . . . . . . . . . . . . . . . . 65 2.3.1 Geometry . . . . . . . . . . . . . . . . . . . . . 65 2.3.2 Computation of the hydrodynamic coefficients 67 2.3.3 Results . . . . . . . . . . . . . . . . . . . . . . 67 2.3.4 Small aircraft - Small platform . . . . . . . . . 69 2.3.5 Small aircraft - Medium platform . . . . . . . . 69 2.3.6 Small aircraft - Big platform . . . . . . . . . . 69 2.3.7 Big aircraft . . . . . . . . . . . . . . . . . . . . 69 2.3.8 Discussion . . . . . . . . . . . . . . . . . . . . . 70 2.3.9 Transient behaviour . . . . . . . . . . . . . . . 70 2.3.10 Applicability of the results . . . . . . . . . . . 73 2.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . 73 3 Dynamic model of floating offshore airborne wind en- ergy systems 75 3.1 Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 3.1.1 Floating platform dynamic model. . . . . . . . 78 3.1.2 Mooring lines model . . . . . . . . . . . . . . . 81 3.1.3 Kite model . . . . . . . . . . . . . . . . . . . . 83 3.2 Case study . . . . . . . . . . . . . . . . . . . . . . . . 86 3.2.1 Simulator . . . . . . . . . . . . . . . . . . . . . 87 3.2.2 Platform and mooring . . . . . . . . . . . . . . 89 3.2.3 Kite and controller . . . . . . . . . . . . . . . . 91 3.2.4 Simulation results . . . . . . . . . . . . . . . . 93 3.3 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . 97 3.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . 102 4 Assessment of high altitude dual wind energy drone generators 103 4.1 Jet stream altitude wind drone system . . . . . . . . . 104 4.2 Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 8 CONTENTS 4.2.1 Model hypotheses . . . . . . . . . . . . . . . . 108 4.2.2 Geometrical relations . . . . . . . . . . . . . . 109 4.2.3 Distributed drag on fixed cable . . . . . . . . . 109 4.2.4 Crosswind Fly-Gen flight and drone mass . . . 110 4.2.5 Structural equations of dancing cables . . . . . 113 4.2.6 Electrical equations . . . . . . . . . . . . . . . 113 4.2.7 Fixed cable mass and shape . . . . . . . . . . . 114 4.2.8 Power output . . . . . . . . . . . . . . . . . . . 115 4.3 Power curves of a dual wind drone system . . . . . . . 115 4.3.1 Powercoefficientofthehighaltitudewinddrone system . . . . . . . . . . . . . . . . . . . . . . . 120 4.4 Future works . . . . . . . . . . . . . . . . . . . . . . . 120 4.5 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . 125 5 Automatic ‘control-line flight’ for high altitude wind energy drones 127 5.1 Dynamic model of take off and landing of a single drone129 5.1.1 Position . . . . . . . . . . . . . . . . . . . . . . 130 5.1.2 Attitude . . . . . . . . . . . . . . . . . . . . . . 131 5.1.3 Kinematics . . . . . . . . . . . . . . . . . . . . 131 5.1.4 Force balance . . . . . . . . . . . . . . . . . . . 133 5.1.5 Relative wind velocity and angles of attack . . 133 5.1.6 Aerodynamic coefficients and forces . . . . . . 134 5.1.7 Pitch motion dynamics . . . . . . . . . . . . . 135 5.1.8 Horizontal steady-state flight . . . . . . . . . . 136 5.1.9 Pitch stability. . . . . . . . . . . . . . . . . . . 136 5.1.10 Altitude stability . . . . . . . . . . . . . . . . . 137 5.1.11 Faster than real time integration . . . . . . . . 137 5.2 Test setup . . . . . . . . . . . . . . . . . . . . . . . . . 137 5.3 Automatic flight results . . . . . . . . . . . . . . . . . 139 5.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . 144 A How to use the open source multi d.o.f floating off- shore AWE simulator 149 A.1 Step by step guide . . . . . . . . . . . . . . . . . . . . 149 A.2 Hydrodynamic preprocessing . . . . . . . . . . . . . . 151 A.3 Input simulation options . . . . . . . . . . . . . . . . . 151 A.4 Input platform and mooring data . . . . . . . . . . . . 153 A.5 Input kite data . . . . . . . . . . . . . . . . . . . . . . 154 A.6 Simulation results . . . . . . . . . . . . . . . . . . . . 155 9 CONTENTS B Cables for Airborne Wind Energy 159 B.1 Cable sag 2D steady state model . . . . . . . . . . . . 159 B.1.1 Differentialsteadystatemodelatconstantten- sion . . . . . . . . . . . . . . . . . . . . . . . . 160 B.1.2 Without gravity, constant ρ . . . . . . . . . . . 161 B.1.3 Without gravity, variable ρ . . . . . . . . . . . 162 B.1.4 With gravity, constant ρ . . . . . . . . . . . . . 163 B.1.5 Numerical results . . . . . . . . . . . . . . . . . 163 B.2 Partitioned tether fairing . . . . . . . . . . . . . . . . 165 B.2.1 Concept . . . . . . . . . . . . . . . . . . . . . . 165 B.2.2 Experimental procedure . . . . . . . . . . . . . 167 C Fast solver based on non-linear iterative nested loops171 C.1 Pre-processing wind data analysis. . . . . . . . . . . . 171 C.2 Solver processing . . . . . . . . . . . . . . . . . . . . . 172 C.3 Post-processing and hovering constraint . . . . . . . . 173 D Technical drawings of the wind drone experimental setup 177 Bibliography 217 10

Description:
ered wings or aircraft in order to reach winds blowing at atmosphere layers that .. 2008-2012 period, and the 'Climate Energy Package (the 20-20-20 targets)' .. The first company that developed a pumping glider generator is the .. tical axis generator has been proposed back in 2004 by Sequoia Au-.
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