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Sarah Chan, Aima Ojehomon, Akshay Adya, Eno Inyang KOWLOON BAY

Kowloon Bay

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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. - PowerPoint PPT Presentation

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Page 1: Kowloon Bay

Sarah Chan, Aima Ojehomon, Akshay Adya, Eno Inyang

KOWLOON BAY

Page 2: Kowloon Bay

Introduction

Page 3: Kowloon Bay

Introduction

Page 4: Kowloon Bay

Team

Page 5: Kowloon Bay

Scope

Page 6: Kowloon Bay

Objectives

Define Objectives…

…Determine Priorities

MACDADI Tool

Page 7: Kowloon Bay

Preferences

Define Objectivs…

…Determine Priorities

MACDADI Tool

Page 8: Kowloon Bay

Alternatives

ExitExit Exit

Page 9: Kowloon Bay

Objectives

• Information Access

• Efficiency• Layout

Passenger Mobility

• Aesthetically Pleasing• CleanPassenger

Perception

• Vision 2020• EnergyCost

Optimization

• HVAC Comfort• Visual Comfort

Passenger Co

mfort

•Congestion Analysis•Egress

•HVAC Comfort•Daylighting

Energy Use Analysis

Page 10: Kowloon Bay

Passenger Mobility Congestion

28 minutes into rush hour

Entrance B platform escalator

Entrance A platform escalator

Page 11: Kowloon Bay

Passenger Mobility Congestion

28 minutes into rush hour

Entrance B platform escalator

Entrance A platform escalator

Page 12: Kowloon Bay

Passenger Mobility Congestion

Entrance B platform escalator at 28 min

Page 13: Kowloon Bay

Passenger Mobility Congestion

Entrance A platform escalator at 28 min

Page 14: Kowloon Bay

Passenger Mobility Congestion

Traditional Method

• Use people per area as a determination of Congestion

Problem

• Entity paths pre determined, therefore not valid measurement

Solution

• Analogy Cars in traffic

• Similar constraints: single lane, multiple goals

Defining Congestion Testing Method

Traffic Congestion AnalysisTime in system - Peak : Time in system - Target

Page 15: Kowloon Bay

Passenger Mobility Congestion

Traffic Congestion AnalysisTime in system - Peak : Time in system - Target

System Peak

• Weekdays 6pm hour

• 16,360 people

System Target

• Sundays 6pm hour

• 7,300 people

Page 16: Kowloon Bay

Passenger Mobility Congestion

Traffic Congestion AnalysisTime in system - Peak : Time in system - Target

Target Peak0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

Average Time Spent in Station

Time Period

Hou

rs

7.5 min177% greater

2.7 min

Page 17: Kowloon Bay

Passenger Mobility Congestion

Traffic Congestion AnalysisTime in system - Peak : Time in system - Target

Objectives

Score

Evaluation Metric

-3 7.54 min-2 6.74 min-1 5.94 min0 5.14 min1 4.34 min2 3.54 min3 2.74 min

Page 18: Kowloon Bay

Passenger Mobility Congestion

Alternative 1 – Simple

Added Escalators To Double Capacity

Direction Can Be Changed To Suit Flow

Page 19: Kowloon Bay

Passenger Mobility Congestion

Alternative 2 – Intensive

Entrance C AlteredEscalators Added And Moved

Turnstiles And Ticket Machines Moved

Page 20: Kowloon Bay

Passenger Mobility Congestion

Results

Target Peak Alt 1 Alt 20

0.02

0.04

0.06

0.08

0.1

0.12

0.14

Average time spent in station

Station Option

Hou

rs

7.5 m

4.7 m 4.9 m

2.7 m

Page 21: Kowloon Bay

Passenger Mobility Congestion

Alternative 1

Target Peak Alt 1 Alt 2

Hours 0.045 0.12 0.07 .08Minute

s 2.72 7.54 4.74 4.94

Alt 1 Alt 2% Reduction in time

58% 54%

Objective Rating

1 1

Page 22: Kowloon Bay

Passenger Mobility Egress - Data

No. of Pedestrains Estimate DailyMorning Off Evening No. of % Over

Direction/ Peak Peak Peak Pede- Station Entrance Hour Hour Hour

strains Total

Towards MTRA 2320 1882 5878 34898 52.6%B 2873 1403 2475 26193 39.5%C 1062 1034 2341 16215 24.4%

From MTRA 7754 1815 3052 37777 57.7%B 2346 1325 2903 23807 36.4%C 2568 786 1197 14417 22.0%

LOS Density No of people  sq m / ped  

A1 5.5 695.2B1 2.75 1390.5C1 1.83 2089.5

Page 23: Kowloon Bay

Passenger Mobility Egress- Modelling

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

-3 -2 -1 0 1 2 +3>10min 7-10 min 5-7 min 4-5 min 3-4min 1-3min <1 min

People

Obstacles ExitGoal

Page 24: Kowloon Bay

Passenger Mobility Egress

Baseline : 3 ExitsTime : 5min 38 sec -1

Page 25: Kowloon Bay

Passenger Mobility Egress

Baseline : 3 ExitsTime : 5min 38 sec -1

Page 26: Kowloon Bay

Passenger Mobility Egress

Alternative 1 : 4 ExitsTime : 2 min 59 sec 1

Page 27: Kowloon Bay

Passenger Mobility Egress

Alternative 1 : 4 ExitsTime : 2 min 59 sec 1

Page 28: Kowloon Bay

Passenger Mobility Egress

Alternative 2 : 5 ExitsTime : 3 min 20 sec 0

Page 29: Kowloon Bay

Passenger Mobility Egress

Alternative 2 : 5 ExitsTime : 3 min 20 sec 0

Page 30: Kowloon Bay

Baseline (Tool : Hevacomp)

General Parameters : 5-12 pm dailyKings Park, HK

Glazed windows(Optifloat 6 mm argon)

Design Temperature:Modeled as 26 °CMust be < 28 °C (summer)Max Temp outside air = 34 °C Only the Concourse Level is considered in the analysis.

Energy UsageCost Optimization

Page 31: Kowloon Bay

Process Energy Usage

Page 32: Kowloon Bay

Energy Analysis

A/CSystem Summary

ZoneSpaceA/C system

1Meeting Rooms, Kiosks

Individual units

2 OfficesIndividual

units3 Plant Rooms no a/c

4Storage and Bathrooms no a/c

5Circulation, Main Corridors fan coil units

Energy UsageCost Optimization

Escalator ConsumptionOperation hours: (5-12 am)

hrs/day 19hr/yr 6935

Energy Usage per escalator:Average kW (medium escalator) 3.5Annual kWh 24272.5

Escalator Energy pertaining to the Concourse = ½ of total (split between concourse and platform )

Page 33: Kowloon Bay

Baseline•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 Baseline Analysis  

Annual Energy Use (GJ/yr) 3898kWh/ year 1082806m2 3552Energy Use (kWh/m2-yr) excl. escalators 305(1/2) Escalator Energy (kWh/year) 145635Combined Energy Use (kWh/year) 1228441Total Energy Use (kWh/m2-yr) incl. escalators 346

Jan FebMarAprMayJun Jul AugSep OctNovDec0

100

200

300

400

500

600

700

Baseline

LightsFansPumpsCooling G

J

Energy Usage -1Cost OptimizationBaseline

Page 34: Kowloon Bay

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

Jan FebMarAprMayJun Jul AugSep OctNovDec0

100

200

300

400

500

600

700

Alternative 1

LightsFansPumpsCooling G

J

Alternative 1  Annual Energy Use (GJ/yr) 3882kWh/ year 1078306m2 3552Energy Use (kWh/m2-yr) excl. escalators 304(1/2) Escalator Energy (kWh/year) 169908Combined Energy Use (kWh/year) 1248213Total Energy Use (kWh/m2-yr) incl. escalators 351

Energy Usage-1Cost OptimizationAlternative 1

Page 35: Kowloon Bay

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

Jan FebMarAprMayJun Jul AugSep OctNovDec0

100

200

300

400

500

600

700

Alternative 2

LightsFansPumpsCooling G

J

Alternative 2  Annual Energy Use (GJ/yr) 3582kWh/ year 995111m2 3552Energy Use (kWh/m2-yr) excl. escalators 280 (1/2) Escalator Energy (kWh/year) 157771Combined Energy Use (kWh/year) 1152882Total Energy Use (kWh/m2-yr) incl. escalators 325

1Energy Usage 0Cost OptimizationAlternative 2

Page 36: Kowloon Bay

ComparisonBaseline Analysis  Annual Energy Use (GJ/yr) 3898kWh/ year 1082806m2 3552Energy Use (kWh/m2-yr) excl. escalators 305(1/3) Total Escalator Energy (kWh/year) 145635Combined Energy Use (kWh/year) 1228441Total Energy Use (kWh/m2-yr) incl. escalators 346

Alternative 1  Annual Energy Use (GJ/yr) 3882kWh/ year 1078306m2 3552Energy Use (kWh/m2-yr) excl. escalators 304Total Escalator Energy (kWh/year) 169908Combined Energy Use (kWh/year) 1248213Total Energy Use (kWh/m2-yr) incl. escalators 351

Alternative 2  Annual Energy Use (GJ/yr) 3582kWh/ year 995111m2 3552Energy Use (kWh/m2-yr) excl. escalators 280Total Escalator Energy (kWh/year) 157771Combined Energy Use (kWh/year) 1152882Total Energy Use (kWh/m2-yr) incl. escalators 325

Energy Usage

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

-1

0

Cost OptimizationComaprison

Page 37: Kowloon Bay

Passenger Comfort Modelling

Page 38: Kowloon Bay

Passenger Comfort HVAC (TAS)

Inputs | Internal Conditions

Page 39: Kowloon Bay

Passenger Comfort HVAC (TAS)

Inputs | Apertures

Alternative 1:‘Wall Openings – Doors’

+‘Window Openings (alt 1)’

Alternative 2:‘Wall Openings – Doors’

+‘Window Openings (alt 2)’

Baseline:‘Wall Openings –

Doors’

Page 40: Kowloon Bay

Passenger Comfort HVAC (TAS)

AnalysesAlternative 1 (& Baseline) Alternative

2

Page 41: Kowloon Bay

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).

Page 42: Kowloon Bay

Passenger Comfort HVAC

Evaluation | Metrics

Page 43: Kowloon Bay

Passenger Comfort Daylighting

Inputs | Revit

Page 44: Kowloon Bay

Passenger Comfort Daylighting

Analyses | Shadow

Page 45: Kowloon Bay

Passenger Comfort Daylighting

Analyses | Shadow

Page 46: Kowloon Bay

Passenger Comfort Daylighting

Analyses | Illuminance

Page 47: Kowloon Bay

Passenger Comfort Daylighting

Analyses | Illuminance (Baseline & Alt 1)

Page 48: Kowloon Bay

Passenger Comfort Daylighting

Analyses | Illuminance (Alt 2)

Page 49: Kowloon Bay

Passenger Comfort Daylighting

Inferences | GeneralAlternative 2, with 2 more

openings has a positive effect on daylighting

Page 50: Kowloon Bay

Passenger Comfort Daylighting

Evaluation

Page 51: Kowloon Bay

Impacts

Page 52: Kowloon Bay

Values