Boom of airport capacity based on wake vortex hasards mitigation sensors and systems

Transcription

1 AUN2014 : Airports in Urban Networks Apr2014 CNIT -Paris la Défense(France) Boom of airport capacity based on wake vortex hasards mitigation sensors and systems JUGE, Philippe, philippe.juge@thalesgroup.com*, THALES, France BARBARESCO, Frédéric, THALES, France BRETON, Hervé, THALES, France STS N

2 AGENDA Set up the scene What has been done What is to be done Enlarge the picture Questions AUN2014 Paris avril

3 Setup the scene Operational context: Gradual increase of traffic Airport capacity: limited number of runways Airspace design and route structure: organisation already optimised Effects Congestions in Terminal Area Airport become a bottleneck, delaying flights Holding is a common occurrence for traffic (ARR/DEP) AUN2014 Paris avril

4 Setup the scene Upcoming operational issues for airports High density of traffic during rush hours More dense mixed traffic pressure during rush hours (A380, B747-8) Conservative Wake-Vortex Separation on the glide Fixed ICAO Wake-Vortex Separation Downgraded RWY capacity in adverse weather conditions Extended Runway Occupancy Time (e.g. 80 s for A380 vs. 55 s for B747 AUN2014 Paris avril

5 Wake vortex hazards Wake-Vortex Hazards: Safety Issues Enquiry have shown that highest occurrence of wake-vortex encounters are: At the touchdown (behind 100 feet in altitude) At Turn onto glideslope (between feet in altitude) Severe wake-vortex encounters mainly occur under 500 feet in altitude Impact of wake-vortex encounter on follower aircraft is Roll Angle Due to flying command limits, critical Wake-Vortex Encounter is at low altitude during final approach and Initial Climb phases Roll angle induced by wake-vortex :Critical at altitude AUN2014 Paris avril

6 Wake vortex encounters AUN2014 Paris avril

7 What has been done SESAR projects (P &P ) Operational needs System definition On field trial campaigns (2011, 2012) UFO project Sensors improvement Ongoing on field trial campaign ICAO evolution RECAT 1, 2 & 3 concepts AUN2014 Paris avril

8 Wake Vortex Decision Support System M e t. C e ntre E x tern al W e a th e r O bs erva tio n s IN T -E X T -M E T R u n w a y W ak e V orte x D e tec tio n, P re d ic tio n a n d dec isio n su p p o rt to o ls Lo c a l M e t. S e n s ors A n e m o m e te rs S O D A R U H F W in d P ro file r IN T -IT W S -1 IN T -L W F -1 L oc a l W ea the r N o w c a s t & F o re c as t M H R P S IN T -L W F -2 IN T -L W F N - 1 T u rb ule n c es C alc ula tio n W e a th e r L ID A R P ro file r W e a th e r L ID A R S c a n n e r X B a n d R a d a r L o c a l W e a th e r D a ta C u b e IN T - W V A S -1 IN T - W V A S -2 H M I In p u t / O u tp u t S up e r v is o r R a da r F ro n t- E n d Lid ar F ron t- E nd IN T - W V D E T -1 E le c tro n ic -sc a n R a d ar 1.5 µm W V L id a r IN T - W V D E T -2 R a d ar W ake P roc e s s ing L id ar W ake P roc e s s ing IN T - W V D E T -4 W ake V o rte x S e n s o rs IN T -W V D E T -3 IN T - W V D E T -6 W a ke P lo ts T ra c kin g IN T -A T C S -2 IN T - W V D E T -5 S e pa ra tio n M o d e P la nn er W a ke V orte x P re dic tor M o nitorin g & A lertin g W a ke V o rtex A d v is o ry S ys tem IN T -A T C S -1 IN T - W V A S -3 IN T - W V A S -4 Ap proach T o w e r A T C & A irport S yste m s IN T -A T C S -3 A ircra ft C h arac teris tic s + 4D trajec to ry AUN2014 Paris avril

9 3D wake vortex monitoring AUN2014 Paris avril

10 RECAT expected benefits Procedure Procedure Weather B0-WAKE B1-WAKE B2-WAKE RECAT 1 RECAT 2 RECAT 3 AUN2014 Paris avril

11 What is to be done SESAR projects (P &P ) Updated operational needs and system Validation exercises (2014& 2015) Long term trial campaign ( ) ICAO evolution RECAT 1 deployment support RECAT 2 integration (AMAN, DMAN, WVDSS) RECAT 3 concept evolution AUN2014 Paris avril

12 What is to be done SESAR projects (P &P ) Updated operational needs and system Validation exercises (2014& 2015) Long term trial campaign ( ) ICAO evolution RECAT 1 deployment support RECAT 2 integration (AMAN, DMAN, WVDSS) RECAT 3 concept evolution AUN2014 Paris avril

13 Current Thales solution High Resolution Weather Forecast Model for Airport Weather Forecast Model providing weather profils in the glide (1 profil every 0.5 NM) X-band Radar (Airport Watcher) LIDAR Ultra Fast (< 10 s) Airport Wake- Vortex/Wind Monitoring Sensors Radar/Lidar Wake-Vortex Sensors on final approach (alt. < 100 m) and on runway Radar/Lidar Wind/EDR Sensors on the Glide until 5 NM range (alt. < 500 m) AUN2014 Paris avril

14 Current Thales solution Wake-Vortex Decision Support System (WVDSS) Wake-Vortex Decision Support System Dynamic Separation Regulation in the glide by Automation System to reduce buffers New Generation AMAN with Optimal Sequencing AMAN Maestro taking into account RECAT separations for optimized sequencing New procedures for sequence optimization (e.g. Point merge) Wake-Vortex Constrained AMAN AUN2014 Paris avril

15 Enlarge the picture Today s offer Tomorrow s offer Sensors TopSky Safety Nets Maestro SCANSIM TopSky- Tower TopSky-ATC RECAT WV predicto r & detectio n Point- Merg e MET infos & foreca st BTV tool for ROT Reductio n WV Decision Support System (+ SAFETY Net) WV Separatio n on AMAN/ DMAN Airport Runway Capacity Booster Technologies Solutions Answer AUN2014 Paris avril

16 Questions? AUN2014 Paris avril