BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI - Universitatea ...

More documents

Recommendations

Info

184 Mihai Florin Mănescu and Valeriu Panaitescu There are numerous causes which can lead to damage in the wind power systems. Some of the reasons could be improper installation, operation under severe conditions or low quality components. Fig. 3 – A representations of some types damage in the blades. Lightning can cause severe structural damage and the destruction of several towers. Fire and strong wind can also damage a turbine. The most critical task is probably when the turbine is stopped due to high wind. The greatest danger occurs when, during a period of strong wind, the brake system fails, and the turbine cannot be controlled. The brake system of a turbine rotor is designed to halt if the wind is too strong. When the brakes do not work, the turbine gets out of hand. In Germany, on several occasions during 1999, 2000 and 2003, the wind turbine brakes failed to stop the rotor, and blades were loose, pieces of which are found more than 500m away from the pillar. Fig. 4 – Examples of damaged turbines at 100%.
Bul. Inst. Polit. Iaşi, t. LVI (LX), f. 2, 2010 185 4. Conclusions 1. Since the addition of the MSR monitoring system to a group of wind turbine can negatively affect performance, the number and location of the sensors is an important problem, which was addressed to a significant extent in the current literature. The methods to be implemented for wind turbines should demonstrate that they can perform well despite the small number of measurement points and under the constraint that these points will be located in areas prone to damage. 2. The technologies for monitoring and damage detection can be selected to obtain comprehensive information. Detection methods are based on a network of sensors adapted for early warning at the onset of damage. The methods can detect the types of damages of less than 1 micron and the location of the damage can be accurately determined. 3. Some of the limitations are the number of sensors they call for, as well as the noise produced during the operation of the turbine. In addition, the maintenance of a wired and wireless network between rotating parts, blades and nacelle is still difficult. The most promising methods are the ultrasound and the thermographic techniques. The X-ray methods, which were discussed here, can also be applied for non-destructive testing, where in situ results must be fully verified. 4. Finally, since the environmental benefits are constantly emphasized, the generation of electric power with the help of wind systems is a necessary innovation. Therefore, related industries require monitoring systems that can provide effective maintenance programs, which provide the earliest possible detection of defects. 5. The most important component of a wind turbine which requires monitoring is the blade, so we must implement a reliable system of low-cost sensors. This system should be integrated into the turbine blades in the manufacturing phase, which will signal any potential failure in the turbine. Therefore, the wind turbine should be built intelligently. Acknowledgements. The authors would like to thank HCI Environment SRL for the support and constructive comments. Received April 15, 2010 <strong>POLITEHNIC</strong>A University, Faculty of Energetics Bucuresti, Romania e-mail: mihai.manescu@expert-mediu.eu
Page 1:
BULETINUL INSTITUTULUI POLITEHNIC D
Page 5:
Papers presented at THE INTERNATION
Page 8 and 9:
SILVIU BERBINSCHI, VIRGIL TEODOR, N
Page 10 and 11:
Page 12 and 13:
CONSTANTIN CHIRIȚĂ, ADRIAN HANGAN
Page 15 and 16:
Page 17 and 18:
Bul. Inst. Polit. Iaşi, t. LVI (LX
Page 19 and 20:
(6) ⎧ ⎪ ⎨ ⎪ ⎩⎪ FR 1 FR
Page 21:
Page 24 and 25:
10 Taxiarchis Belis and Aristomenis
Page 26 and 27:
Page 28 and 29:
Page 30 and 31:
Page 32 and 33:
Page 34 and 35:
Page 36 and 37:
22 Nikolaos Tapoglou and Aristomeni
Page 38 and 39:
Page 40 and 41:
Page 42 and 43:
Page 44 and 45:
Page 46 and 47:
32 Eugen Străjescu et al. The mode
Page 48 and 49:
34 Eugen Străjescu et al. On the o
Page 50 and 51:
36 Eugen Străjescu et al. 3.5 3 2.
Page 52 and 53:
38 Eugen Străjescu et al. 2.5 2 1.
Page 55 and 56:
Page 57 and 58:
Page 59 and 60:
Page 61 and 62:
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
(5) Bul. Inst. P olit. Iaşi, t. LV
Page 71 and 72:
Page 73 and 74:
p (4) g( ) (5) p g( ) Bul. Inst. Po
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
(5) Bul. Inst . Polit. Iaşi, t. LV
Page 83 and 84:
Page 85 and 86:
Page 87:
Page 90 and 91:
76 Ana-Maria Matei and Marius-Nicol
Page 92 and 93:
Page 94 and 95:
Page 96 and 97:
Page 98 and 99:
84 Marius Ionuţ Rîpanu et al. The
Page 100 and 101:
86 Marius Ionuţ Rîpanu et al. Fig
Page 102 and 103:
88 Marius Ionuţ Rîpanu et al. The
Page 104 and 105:
90 Marius Ionuţ Rîpanu et al. R E
Page 106 and 107:
92 Iustina Elena Rotman et al be co
Page 108 and 109:
94 Iustina Elena Rotman et al This
Page 110 and 111:
96 Iustina Elena Rotman et al 5. *
Page 112 and 113:
98 Cătălin Ungureanu et al. Devia
Page 114 and 115:
100 Cătălin Ungureanu et al. VI g
Page 116 and 117:
102 Cătălin Ungureanu et al. d [m
Page 118 and 119:
104 Cătălin Ungureanu et al. SIST
Page 120 and 121:
106 Birgit Kjærside Storm parts wi
Page 122 and 123:
108 Birgit Kjærside Storm They are
Page 124 and 125:
110 Birgit Kjærside Storm A fresh
Page 126 and 127:
112 Birgit Kjærside Storm rate of
Page 128 and 129:
114 Birgit Kjærside Storm The HSP
Page 130 and 131:
116 Birgit Kjærside Storm 4. P i z
Page 132 and 133:
118 Ioana Petre et al. The utilizat
Page 134 and 135:
120 Ioana Petre et al. by a pneumat
Page 136 and 137:
122 Ioana Petre et al. Another appl
Page 138 and 139:
124 Ioana Petre et al. APLICAŢII I
Page 140 and 141:
126 Mihăiță Horodincă absorbed
Page 142 and 143:
128 Mihăiță Horodincă 3. Some E
Page 144 and 145:
130 Mihăiță Horodincă For certa
Page 146 and 147:
132 Mihăiță Horodincă behaviour
Page 149 and 150: BULETINUL INSTITUTULUI POLITEHNIC D
Page 151 and 152: As the planetary processional trans
Page 153 and 154: Bul. Inst. Polit. Iaşi, t. LVI (LX
Page 177 and 178: (4) Bul. Inst. Polit. Iaşi, t. LVI
Page 197: Bul. Inst. Polit. Iaşi, t. LVI (LX
Page 221 and 222: then, under the principle of optima
Page 225 and 226: c) Calculate values (14) ⎧V ⎪
Page 227: Bul. Inst. Polit. Iaşi, t. LVI (LX
Page 230 and 231: 216 Dănuț Zahariea and Mihaela Tu
Page 236 and 237: 222 Dănuț Zahariea and Marius Sta
Page 242 and 243: 228 Irène Alexandrescu et al. Glob
Page 244 and 245: 230 Irène Alexandrescu et al. 3. S
Page 246 and 247: 232 Irène Alexandrescu et al. The
Page 248 and 249:
234 Irène Alexandrescu et al. depa
Page 251 and 252:
Page 253 and 254:
Page 255 and 256:
Page 257 and 258:
Page 259 and 260:
Page 261 and 262:
Conventional approach Client specif
Page 263 and 264:
Page 265 and 266:
Page 267 and 268:
Page 269 and 270:
Page 271 and 272:
Page 273 and 274:
Page 275 and 276:
Page 277 and 278:
Rate of recycling, [%] Bul. Inst. P
Page 279 and 280:
Page 281 and 282:
Page 283 and 284:
Page 285 and 286:
Page 287 and 288:
Fig. 15 - Air velocity distribution
Page 289:
Page 292:
Stachie Marius 221 Storm Kjærside
show all

BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI - Universitatea ...

Create successful ePaper yourself

Delete template?

Save as template?