Analysis of 2NM Separation for Minimal Pair Arrivals Investigating - - PowerPoint PPT Presentation

analysis of 2nm separation for minimal pair arrivals
SMART_READER_LITE
LIVE PREVIEW

Analysis of 2NM Separation for Minimal Pair Arrivals Investigating - - PowerPoint PPT Presentation

Analysis of 2NM Separation for Minimal Pair Arrivals Investigating the relationship between separation minima and runway occupancy time Alan R. Groskreutz SESAR Innovation Days Dec 2, 2015 Overview Introduction Proposed Minimal-Pair


slide-1
SLIDE 1

Analysis of 2NM Separation for Minimal Pair Arrivals

Investigating the relationship between separation minima and runway occupancy time

Alan R. Groskreutz

SESAR Innovation Days Dec 2, 2015

slide-2
SLIDE 2

Overview

  • Introduction
  • Proposed Minimal-Pair separation reduction
  • Dependency on Runway Occupancy Time
  • Operational Recommendations
  • Conclusions

07-12-2015 Alan R. Groskreutz 2

slide-3
SLIDE 3

Arrivals Follower J H M L A B C D E F Leader J A 3.0 4.0 5.0 5.0 6.0 8.0 H B MP 3.0 4.0 4.0 5.0 7.0 C MP MP 3.0 3.0 4.0 6.0 M D MP MP MP 2.5 2.5 5.0 E MP MP MP MP 2.5 4.0 L F MP MP MP MP MP 3.0

Introduction

  • Objective

– Increase arrival capacity through reduced separation minima – RECAT-EU is focused on wake turbulence separations

07-12-2015 3

– This research focused on reducing the Minimal- Pair separations

Arrivals Follower J H M L A B C D E F Leader J A 3.0 4.0 5.0 5.0 6.0 8.0 H B SM 3.0 4.0 4.0 5.0 7.0 C SM SM 3.0 3.0 4.0 6.0 M D SM SM SM 2.5 2.5 5.0 E SM SM SM SM 2.5 4.0 L F SM SM SM SM SM 3.0 Arrivals Follower J H M L A B C D E F Leader J A 3.0 4.0 5.0 5.0 6.0 8.0 H B SM 3.0 4.0 4.0 5.0 7.0 C SM SM 3.0 3.0 4.0 6.0 M D SM SM SM 2.5 2.5 5.0 E SM SM SM SM 2.5 4.0 L F SM SM SM SM SM 3.0

slide-4
SLIDE 4

Introduction

  • Standard ICAO MP arrival separation – 3NM
  • In specific conditions and equipment – 2.5NM
  • Research to reduce to 2NM

with Required Surveillance Performance conditions

07-12-2015 Alan R. Groskreutz 4

3NM 2.5NM 2.0NM

slide-5
SLIDE 5

Introduction

  • Proposed reduction can change the “long pole in

the tent” of arrival capacity.

07-12-2015 Alan R. Groskreutz 5

2.5 NM separation minima Leader’s Arrival Runway OccupancyTime (AROT) 2.0 NM separation minima

slide-6
SLIDE 6

Problem definition

  • How big of a problem is the interdependency?

– It Depends

  • Traffic mix
  • Exit location
  • Exit type
  • Ran two independent simulations to see effects

– 1) PICAP simulation – 2) Theoretical simulation

07-12-2015 Alan R. Groskreutz 6

slide-7
SLIDE 7

Traffic Mix

07-12-2015 Alan R. Groskreutz 7

CATEGORY Scenario 5 0 % Scenario 7 0 % Scenario 8 0 % Super Heavy ( A) 5% 2% 0% Upper Heavy ( B) 10% 8% 5% Low er Heavy ( C) 30% 20% 15% Upper Medium + Low er Medium ( D+ E) 50% 70% 80% Light ( F) 5% 0% 0% A (J) B (H) C (C ) D (M) E (S) F (L) A388 A124 A332 A333 A342 A343 A345 A346 AN22 B744 B748 B772 B773 B77L B77W B788 B789 IL96 A306 A30B A310 B703 B752 B753 B762 B763 B764 B783 C135 DC10 DC85 IL76 L101 MD11 TU22 TU95 C17 A318 A319 A320 A321 AN12 B737 B738 B739 C130 IL18 MD81 MD82 MD83 MD87 MD88 MD90 T204 TU16 B722 A400 AN32 AT43 AT45 AT72 B462 (RJ85) B712 B732 B733 B734 B735 CL30 CL60 CRJ1 CRJ2 CRJ7 CRJ9 DC93 DH8D E135 FA10 FA20 D328 E120 BE40 BE45 H25B JS32 JS41 LJ35 LJ60 SF34 P180 C650 C525 C180 C152 C421 C172 BE20

Aircraft type per category Category mix per scenario

slide-8
SLIDE 8

PICAP Simulation definition

  • Three types of AROT used

– Unfavorable AROTs - real values, based on current

  • perational statistic times at ENAIRE airports

– Favourable AROTs - real values, based on current

  • perational statistic times at ENAIRE airports

– Optim al AROTs - predicted values, based on future AROT reduction techniques implemented

07-12-2015 Alan R. Groskreutz 8

slide-9
SLIDE 9

PICAP Simulation definition

AI RCRAFT CATEGORY Optim al Favourable Unfavourable m ean ( s) s m ean ( s) s m ean ( s) s A 60 2.3 69 3 81 1.7 B 55 1.8 65 2.8 79 2.9 C 45 4.7 48 3.4 58 3.4 D 38 3.6 45 2.8 55 5 E 38 2 45 3.1 50 4.8 F 40 2.7 45 5 50 3

07-12-2015 Alan R. Groskreutz 9

Scenario Separation Minim a ( NM) % of traffic in groups D+ E ( M) ROT used ( sec) Reference ( 0 ) 2.5 50% Unfavourable Run # 1 2.0 50% Unfavourable Run # 2 2.0 70% Unfavourable Run # 3 2.0 80% Unfavourable Run # 4 2.0 50% Favourable Run # 5 2.0 70% Favourable Run # 6 2.0 80% Favourable Run # 7 2.0 50% Optimal Run # 8 2.0 70% Optimal Run # 9 2.0 80% Optimal

Distribution of the AROT values Distribution of the independent variables

slide-10
SLIDE 10

Theoretical Simulation definitions

  • Differences from PICAP sim

– The theoretical study uses the lead aircraft's AROT value to design a more ideal scenario where there is no double runway occupancy. – Arrival separations were based on time using BADA arrival peformance values – AROT values were set as averages for all categories – These values are an approximated weighted mean, taking into account predominant categories (D, E) and others that are residual (A, F)

07-12-2015 Alan R. Groskreutz 10

AROT values( s) AI RCRAFT CATEGORY Optim al Favourable Unfavourable All Categories 40 45 55

slide-11
SLIDE 11

Results

  • Results show 6% - 30% capacity improvement

– depending on the scenarios compared

07-12-2015 Alan R. Groskreutz 11

slide-12
SLIDE 12

Results

  • Capacity vs AROT and SM (50% D+E)

07-12-2015 Alan R. Groskreutz 12

43 44 45 46 47 48 49 50 51 52 53 10 20 30 40 50 60 70 80

Capacity (arrival/hour) ROT (sec)

CAP =f (ROT, SM)

SM = 2.5 SM = 2

CAP=f(AROT, SM)

slide-13
SLIDE 13

Results Influence of Aircraft Fleet Mix on Capacity

07-12-2015 Alan R. Groskreutz 13

43 45 47 49 51 53 55 57 10 20 30 40 50 60 70 80

Capacity (arrival/hour) ROT (sec)

CAP =f (ROT, SM=2.0NM)

80%D+E 70%D+E 60%D+E 50%D+E 40%D+E

CAP=f(AROT, SM=2.0NM)

slide-14
SLIDE 14

Results

  • CAPACITY STABILISATION VS AROT LIMITS

07-12-2015 Alan R. Groskreutz 14

AROT lim it ( seconds) CAPACI TY ( arrival/ hour) 8 0 % D+ E 7 0 % D+ E 6 0 % D+ E 5 0 % D+ E 4 0 % D+ E 4 5 56 55 54 52 51 4 6 56 55 54 52 51 4 7 56 55 54 52 51 4 8 56 55 54 52 5 1 4 9 56 55 54 5 2 50 5 0 56 55 5 4 51 50 5 1 56 55 53 51 50 5 2 5 6 5 5 53 51 50 5 3 55 54 53 51 50 5 4 55 54 53 51 50 5 5 55 54 53 51 50

slide-15
SLIDE 15

Results

07-12-2015 Alan R. Groskreutz 15

48.9 44.8 39.2 47.6 44.3 39.7 49.5 45.6

38 39 40 41 42 43 44 45 46 47 48 49 50 55 60 65 70 75 80 85

AROT (sec) Runway exit speed (knts)

ROT vs exit speed for various exitways

1508m 1815m 2000m Distance to Runway exitway

Taken from ‐ S.H. Goldthorpe, Sensitivity of Runway Occupancy Time to various Rollout and Turnoff Factors, June 1997

slide-16
SLIDE 16

AROT reduction methods

  • Vacate runway at high speed, turnoff at high

speed.

– 737-800 Ryanair pilots have been authorized by Boeing to take high speed exits up to 70 knts. Others felt more comfortable at + -20 knts.

  • ATC have the ability to give conditional landing

clearance, so crew on final approach may proceed visualizing the departing traffic.

– If the controller is pushing with emphatic clearances, and phrases such as "plan first available exit", "expedite to the next high speed", etc. then the flight crews will pick up on this

  • Lack of touchdown zone predictability can limit

runway exit – (ROT predictability). A factor in this uncertainty is flare ballooning.

07-12-2015 Alan R. Groskreutz 16

slide-17
SLIDE 17

Safety

  • Probability of need to increase spacing with SM=2.5NM

07-12-2015 Alan R. Groskreutz 17

Increased spacing need

slide-18
SLIDE 18

Safety

  • Probability of need to increase spacing with SM=2.0NM

07-12-2015 Alan R. Groskreutz 18

Increased spacing need

slide-19
SLIDE 19

Conclusions

  • The concept helps increase arrival runway capacity

between 6% and 30% .

  • Gains more sensitive to traffic mix that AROT
  • ROT can be effectively reduced through use of

procedural controls (increasing runway exit speed, advice

to expedite runway exit) or possible future use of

Enhanced Braking Systems

07-12-2015 Alan R. Groskreutz 19

slide-20
SLIDE 20

Conclusions

  • Reducing AROT more than necessary does not

positively influence the separation reduction capacity gains.

  • Both the PICAP and Theoretical study show that

there is an increased risk that a go-around might

  • ccur with the reduction of the minimal-pair

separations

07-12-2015 Alan R. Groskreutz 20

slide-21
SLIDE 21

Recomendations for Future Investigation

  • Go-around reasons should be consolidated, since

they may be ordered by ATC or decided by the Flight Crew in command.

  • ATC control spacing must be included in order to

dynamically adapt the minimal-pair arrivals between 2.0NM and 2.5NM, depending upon the standard AROT of the leader. The clearance to land spacing will need to take into account:

– The prevailing glide slope wind condition that will be experienced by the follower aircraft over this distance

07-12-2015 Alan R. Groskreutz 21

slide-22
SLIDE 22

Recomendations for Future Investigation

  • Transition to the same glideslope such that 1,000ft

vertical separation cannot be utilised during the transition.

  • The transition from the intermediate approach 3NM

MRS to the reduced 2NM MRS needs to be considered with respect to the benefits validation;

07-12-2015 Alan R. Groskreutz 22

slide-23
SLIDE 23

Recomendations for Future Investigation

  • Separations from RECAT EU project combined with

SM= 2.0NM must be improved using ECTRL Pair- wise separations.

  • The reduced 2NM MRS has application to wake

pairs D-D, D-E, E-E when TBS is applied in moderate and strong headwind conditions.

– This will also be the case for the Static Pairwise Separation (S-PWS) wake pairs B-B and C-C.

07-12-2015 Alan R. Groskreutz 23

slide-24
SLIDE 24

07-12-2015 Pablo Muñoz Domínguez 24