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Kowloon Bay. Sarah Chan, Aima Ojehomon , Akshay Adya , Eno Inyang. Introduction. Introduction. Team. Scope. Objectives. MACDADI Tool. Define Objectives…. …Determine Priorities. Preferences. MACDADI Tool. Define Objectivs …. …Determine Priorities. Alternatives. Exit. Exit. Exit.

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kowloon bay

Kowloon Bay

Sarah Chan, AimaOjehomon, AkshayAdya, EnoInyang

objectives
Objectives

MACDADI Tool

Define Objectives…

…Determine Priorities

preferences
Preferences

MACDADI Tool

Define Objectivs…

…Determine Priorities

alternatives
Alternatives

Exit

Exit

Exit

objectives1
Objectives
  • Congestion Analysis
  • Egress

Energy Use Analysis

  • HVAC Comfort
  • Daylighting
passenger mobility
Passenger Mobility

Congestion

Baseline model peak 6pm weekday

Show model, cite conges

Entrance B platform escalator

Entrance A platform escalator

28 minutes into rush hour

passenger mobility1
Passenger Mobility

Congestion

Baseline model peak 6pm weekday

Show model, cite conges

Entrance B platform escalator

Entrance A platform escalator

28 minutes into rush hour

passenger mobility2
Passenger Mobility

Congestion

Baseline model peak 6pm weekday

Show model, cite conges

Entrance B platform escalator at 28 min

passenger mobility3
Passenger Mobility

Congestion

Baseline model peak 6pm weekday

Show model, cite conges

Entrance A platform escalator at 28 min

passenger mobility4
Passenger Mobility

Congestion

Defining Congestion Testing Method

Traffic Congestion Analysis

Time in system - Peak : Time in system - Target

passenger mobility5
Passenger Mobility

Congestion

Traffic Congestion Analysis

Time in system - Peak : Time in system - Target

passenger mobility6
Passenger Mobility

Congestion

Traffic Congestion Analysis

Time in system - Peak : Time in system - Target

2.7 min

passenger mobility7
Passenger Mobility

Congestion

Traffic Congestion Analysis

Time in system - Peak : Time in system - Target

Objectives

passenger mobility8
Passenger Mobility

Congestion

Alternative 1 – Simple

Added Escalators To Double Capacity

Direction Can Be Changed To Suit Flow

passenger mobility9
Passenger Mobility

Congestion

Alternative 2 – Intensive

Entrance C Altered

Escalators Added And Moved

Turnstiles And Ticket Machines Moved

passenger mobility10
Passenger Mobility

Congestion

Results

2.7 m

passenger mobility11
Passenger Mobility

Congestion

Alternative 1

passenger mobility12
Passenger Mobility

Egress - Data

passenger mobility13
Passenger Mobility

Egress- Modelling

  • 1390 people
  • Randomly placed
  • 50 % Male & 50% Female
  • Low Stress, Co-operative
  • Multi Agent System

People

Exit

Obstacles

Goal

passenger mobility14

Baseline : 3 Exits

Time : 5min 38 sec -1

Passenger Mobility

Egress

passenger mobility15

Baseline : 3 Exits

Time : 5min 38 sec -1

Passenger Mobility

Egress

passenger mobility16

Alternative 1 : 4 Exits

Time : 2 min 59 sec 1

Passenger Mobility

Egress

passenger mobility17

Alternative 1 : 4 Exits

Time : 2 min 59 sec 1

Passenger Mobility

Egress

passenger mobility18

Alternative 2 : 5 Exits

Time : 3 min 20 sec 0

Passenger Mobility

Egress

passenger mobility19

Alternative 2 : 5 Exits

Time : 3 min 20 sec 0

Passenger Mobility

Egress

slide30

Cost Optimization

Baseline (Tool : Hevacomp)

Energy Usage

General Parameters :

5-12 pm daily

Kings Park, HK

Glazed windows

(Optifloat 6 mm argon)

Design Temperature:

Modeled as 26 °C

Must be < 28 °C (summer)

Max Temp outside air = 34 °C

Only the Concourse Level is considered in the analysis.

slide31

Process

Energy Usage

energy analysis

Cost Optimization

Energy Analysis

Energy Usage

Escalator Energy pertaining to the Concourse =

½ of total (split between concourse and platform )

baseline

Cost Optimization

Baseline

Baseline

Energy Usage

-1

  • Several open door entrances:
  • Two 4 x 3.4 m and one 10.5 x 3 m and one 5 x 3 m
  • 12 escalators
alternative 1

Cost Optimization

Alternative 1

Alternative 1

Energy Usage

-1

  • Add 1 entrance, 10.5 x 3 m
  • Remove 2 windows
  • Add 2 escalators (14 total)
alternative 2

Cost Optimization

Alternative 2

Alternative 2

1

Energy Usage

0

  • Add 2 entrances, 10.5 x 3 m each
  • Remove rooms near each entrance
  • Add 1 escalator (13 total)
comparison

Cost Optimization

Comaprison

Comparison

Energy Usage

-1

Alternative 1 to the have the highest energy use, with 2 additional escalators

Alternative 2 has the lowest energy use, even with 1 additional escalator

-1

0

passenger comfort1
Passenger Comfort

HVAC (TAS)

Inputs | Internal Conditions

passenger comfort2
Passenger Comfort

HVAC (TAS)

Inputs | Apertures

Baseline:

‘Wall Openings – Doors’

Alternative 2:

‘Wall Openings – Doors’

+

‘Window Openings (alt 2)’

Alternative 1:

‘Wall Openings – Doors’

+

‘Window Openings (alt 1)’

passenger comfort3
Passenger Comfort

HVAC (TAS)

Analyses

Alternative 2

Alternative 1 (& Baseline)

passenger comfort4
Passenger Comfort
  • HVAC

Inferences

  • Creating these new openings has little to no effect on HVAC.
  • Internal temp (35⁰C) at peak external temp (36⁰C), 7⁰C over target temp (28⁰C).
passenger comfort5
Passenger Comfort

HVAC

Evaluation | Metrics

passenger comfort6
Passenger Comfort

Daylighting

Inputs | Revit

passenger comfort7
Passenger Comfort

Daylighting

Analyses | Shadow

passenger comfort8
Passenger Comfort

Daylighting

Analyses | Shadow

passenger comfort9
Passenger Comfort

Daylighting

Analyses | Illuminance

passenger comfort10
Passenger Comfort

Daylighting

Analyses | Illuminance (Baseline & Alt 1)

passenger comfort11
Passenger Comfort

Daylighting

Analyses | Illuminance (Alt 2)

passenger comfort12
Passenger Comfort

Daylighting

Inferences | General

Alternative 2, with 2 more openings has a positive effect on daylighting

passenger comfort13
Passenger Comfort

Daylighting

Evaluation

slide53

Thank You

By the way….. We made some news !