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1 Residential ETTV Criterion for Buildings in Singapore 13 July 2007 at Building and Construction Authority by S.K. Chou, Dept of Mechanical Engineering, NUS Presentation Overview Commercial building reference Residential air-con survey Building description and modelling Formulation of residential ETTV equation Relating Residential ETTV to cooling energy Residential ETTV cutoff value Approaches to reducing ETTV/RETV Tool for RETV calculation

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  • 1Residential ETTV Criterion for Buildings in Singapore

    13 July 2007

    at Building and Construction Authority

    by

    S.K. Chou, Dept of Mechanical Engineering, NUS

    Presentation Overview

    Commercial building reference Residential air-con survey Building description and modelling Formulation of residential ETTV equation Relating Residential ETTV to cooling energy Residential ETTV cutoff value Approaches to reducing ETTV/RETV Tool for RETV calculation

  • 2Commercial Building Reference

    Parameters and Range

    3.5 5.5COP0.5 0.8LTS10 20LIT (W/m)5 10OA (cfm)32% 90%WWR0.2 0.7SC0.2 4.21Uf(W/mK)0.5 2.5Uwall (W/mK)

  • 3Distribution of Loads (MWh) in reference office building7%

    1%

    17%

    1%

    17%

    30%

    9%

    15%

    3%

    Wall Win Solar Roof People Lights Equip Infiltration Others

    Qenvelope ~ 25%

    Office ETTV vs Energy

    Cooling Energy vs ETTV

    y = -0.001x2 + 14.801x + 2174.4R2 = 0.9909

    2600

    2650

    2700

    2750

    2800

    2850

    2900

    2950

    3000

    3050

    3100

    30 35 40 45 50 55 60ETTV

    Coo

    ling

    Ener

    gy (M

    Wh)

  • 4Residential Building ETTV

    Air Conditioning Pattern Survey Results

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    20

    Households

    < 7pm 7pm 8pm 9pm 10pm 11pm 12am >12amTime

    Week Day Turn On Time

  • 50

    2

    4

    6

    8

    10

    12

    14

    Households

    9amTime

    Week Day Turn Off Time

    0

    2

    4

    6

    8

    10

    12

    14

    Households

    < 7pm 7pm 8pm 9pm 10pm 11pm 12am >12amTime

    Week End Turn On Time

  • 60

    1

    2

    3

    4

    5

    6

    7

    8

    9

    Households

    9amTime

    Week End Turn Off Time

    Survey Summary From the survey, it can be seen that

    most people turn on air conditioning between 9pm and 11pm for both weekdays and weekends

    Air conditioning is turned off mostly between 6am and 8am.

    This information is reflected in DOE2 coding

  • 712 storeys4 x 144 m2

    Building

    Bedroom 1 and Bedroom 2Air-conditioned area

    Opened when A/C is off to provide natural ventilation, closed when

    A/C is on

    Windows

    A family of 4Number of occupants in an apartment2.0 to 3.0COP

    24 oC Weekdays (Operation) 22:00-07:00Weekends (Operation) 22:00-08:00

    Rest set point is 37 oC

    Cooling setpoint

    Split Unit, rated @ 22,000 BTU/hr for Bedroom 1 and 15,000 BTU/hr

    for Bedroom 2

    System type

    HDB Building Description

    Model of a point block

    Bedroom 2

    Bedroom 1

    12m

    12m

    Common Corridor

  • 8Model of a HDB slab block

    Envelope Parameters and Ranges

    0.45Wall Absorptance

    20% to 51%WWR

    0.2 0.9SC

    2.2 6.2 Uf (W/m2 K)1.2 4.5Uw (W/m2 K)RangesParameters

  • 9Private Residential Building Load Distribution

    6%9%

    23%62%

    QwallQglassQsolarQothers

    Includes loads due to: Infiltration Lighting People Miscellaneous

    Equipment Roof

    Uwall Value of 1.2 W/m2K

    Uglass Value of 6.13 W/m2K

    Average SC Value of 0.3

    WWR = 51%

    HDB Loads Distribution

    21%

    4%

    16%59%

    QwallQglassQsolarQothers

    Includes loads due to: Infiltration Lighting People Miscellaneous

    Equipment Roof

    Uwall Value of 2.89 W/m2KUglass Value of 6.13 W/m2K

    Average SC Value of 0.52WWR = 20%

  • 10

    Formulation of equivalent residential ETTV equation - considerations

    Sensitivity and range

    Effect of building shape or aspect ratio and orientation

    Residential ETTV equation should relate to accurate estimation of cooling energy consumption like its commercial building counterpart

    Residential ETTV equation coefficients

    55.331.103.38660.434144.099216.3985

    56.831.223.31352.35378.530337.4974

    55.801.243.24567.66295.550332.2223

    55.921.363.11406.30758.168421.6642

    55.101.103.01408.379135.490266.0721

    SFt (oC.)Tdeq(oC.)Qsol

    (MWh)Qwin

    (MWh)Qwall

    (MWh)

    Sample of simulation data

  • 11

    The residential ETTV equation is thus:

    ( ) ( ) ( )( )( )SCCFWWRUWWRUWWRETTV fwres 6.583.114.3 ++=

    Point Block

    Gr a ph of Cool i ng Ene r gy Vs ETTV

    y = 9 . 4 7 5 5 x + 6 2 .2 9 6R 2 = 0 . 8 8 2 3

    0

    50

    100

    150

    200

    250

    300

    350

    400

    0 5 10 15 20 25 30

    ETTV r e s

  • 12

    Slab Block

    Gr a ph of Cool i ng Ene r gy Vs ETTV

    y = 6 . 4 9 0 7 x + 6 2 . 12R 2 = 0 . 9 8 3 3

    0

    50

    100

    150

    200

    250

    300

    0 5 10 15 20 25 30 35

    E T T V r es

    RETV (Residential Envelope Transmittance Value)

    =

    ETTVres (Residential ETTV)

  • 13

    Potential energy savings

    About the mid point RETV range of 20 W/m2,

    Slab block - A unit decrease in RETV results in 3.5% decrease in the annual cooling energy

    Point block - A unit decrease in RETV results in 4% decrease in the annual cooling energy

    Cutoff value of RETV

    Based on results obtained, the following RETV cut-offs are recommended:

    A cutoff at 25 W/m2 in the immediate and near term. From simulation, this value stands in the upper range of RETV of residential buildings. This is well within the capability of most public residentials as well as private ones which do not have high WWRs.

    A cutoff of 20 W/m2 in a future phase/longer term. This can be achieved with continued application of modest WWR and improved design and material properties.

  • 14

    Approaches to reducing ETTV/RETV1. Glass shading coefficient2. Window-to-Wall ratio3. Wall absorptance4. Wall resistance5. U fenestration6. Wall cladding7. External shading devices8. Solar film

    Tool for ETTV and Energy Calculation

    Algorithm will be developed to estimate ETTV from multi-parametric changes(Sc, WWR, Alpha, Uwall, Uf)

    Algorithm will be developed to estimate Cooling Energy from multi-parametric changes(COP, OA, LIT, LTS, Set-Pt Temp)

  • 15

    Tool for quick ETTV calculationBase Values New Values

    Change in ETTV

    Original ETTV

    New ETTV

    Tool for quick Energy calculation

    Base Values New Values

    Change in Ec

    Original Ec

    New Ec

  • 16

    THANK YOU