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Conventional Roofs: Measuring
Impacts of Insulation Strategy
and Membrane Colour in Canada
LORNE RICKETTS, MASC
RDH BUILDING ENGINEERING LTD. VANCOUVER, BC
CO-AUTHORS: GRAHAM FINCH, MASC, P.ENG. & MARCUS DELL, MASC P.ENG.
Outline
à  Introduction & Background
à  What prompted the study?
à  Study of Conventional Roof Performance
à  Laboratory Testing
à  Field Monitoring
à  Energy Modelling
à  Conclusions & Areas of Continuing Research
Conventional Roofing Recap
à  Most common low-slope roof in North America
à  Air barrier and vapour control layer below
insulation on top of structure, then insulation,
then membrane on top
à  Insulation typically foam plastic (polyiso, EPS),
mineral fibre also used
à  Roof slope typically achieved by tapered
insulation unless structure is sloped
à  Roof membrane exposed to temperature, UV,
traffic – needs to be durable
à  Attachment of membrane/insulation can be
adhered, mechanically attached, loose laid
ballasted, or combination
Polyiso Shrinkage
Ridged Membrane
Insulation Issues
à  Long-term shrinkage
à  Thermal expansion/contraction
What Prompted the Study?
XPS Expansion
EPS Shrinkage
What Prompted the Study?
Cover Board Issues
à  Delamination & fungal growth
Wood fiberboard cover-board
wetting and delamination
Wetting & resulting fungal growth on
gypsum cover board
What Prompted the Study
The Great Colo(u)r Debate
à  Darker Colours (more absorptive, less reflective)
à  Higher temperatures, more movement and
membrane stress, higher cooling loads, lower
heating loads
à  Lighter Colours (less absorptive, more reflective)
à  Lower temperatures, less movement and
membrane stress, lower cooling loads, higher
heating loads
à  LEED points for use of highly
reflective roofs regardless of energy
implication and local climate
à  Balance needed between membrane
durability, assembly movement,
heating and cooling loads
Confused owner?
New 5 Years Old
Study of Conventional Roof
Performance
Guiding Purpose of the Study – Why?
à  Quantify performance of different colours of exposed roof membrane
à  White, Grey, & Black
à  Quantify performance of different insulation types
à  Stone wool, Polyiso, & Hybrid
à  Quantify combined impact of membrane colour and insulation
à  Observe impact of the long-term soiling of white SBS cap sheets
à  Monitor long-term shrinkage/movement of insulation and relative
humidity/moisture levels within insulation
à  Laboratory testing of material properties
Roof Membrane Colours
à  3 different 2-ply SBS roof
membrane cap sheet colours
(white reflective, grey, black)
White Reflective Cap Sheet:
SRI 70, Reflectance 0.58, Emittance 0.91
Grey Cap Sheet:
SRI 9, Reflectance 0.14, Emittance 0.85
Black Cap Sheet:
SRI -4, Reflectance 0.04, Emittance 0.85
3 Different Insulation Strategies
Stone wool - R-21.4
(2.5” + 3.25”, adhered)
Weight: 26.7 kg/m2
Heat Capacity: 22.7 kJ/K/m2
Polyiso - R-21.5
(2.0” + 1.5”, adhered)
Weight: 4.6 kg/m2
Heat Capacity: 6.8 kJ/K/m2
Hybrid - R-21.3
(2.5” Stone wool + 2.0” Polyiso, adhered)
Weight 14.3 kg/m2, Heat Capacity – 13.7 kJ/K/m2
Design target: Each Assembly the same ~R-21.5 nominal
Insulation and Cap Sheet Layout
à  9 unique roof test areas, each 40’ x 40’ and each behaving
independently
à  Similar indoor conditions (room temperature) and building use
(warehouse storage)
à  Climate Zone 4
Polyiso	
  
Hybrid	
  
Stone	
  wool	
  
120’	
  
120’	
  
Grey
White
Black
Polyiso
Hybrid
Stonewool
Sensor Selection and Installation
à  Temperature
à  Heat Flux
à  Relative Humidity
à  Moisture Detection
à  Displacement
à  Solar Radiation
Heat Flux Relative Humidity &
Moisture Detection
Displacement
Temperature Solar Radiation
Laboratory Testing of
Insulation Performance
Laboratory Testing of Insulation R-values
à  3rd Party ASTM C518 thermal
transmission material testing
à  Polyiso and stone wool
insulation removed from site & 4
year old polyiso samples from
prior study
Laboratory Testing of Project Insulation
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
7.0
-­‐10 0 10 20 30 40 50
R-­‐value	
  per	
  inch
Mean	
  Temperature	
  of	
  Insulation	
  [°C]
Installed	
  &	
  Aged	
  Insulation	
  R-­‐values	
  -­‐ Based	
  on	
  Mean	
  Temperature
Polyiso	
  -­‐	
  Maximum Polyiso	
  -­‐	
  Average Polyiso	
  -­‐	
  Minimum
Polyiso	
  -­‐	
  Aged	
  (4	
  years) Stone	
  Wool	
  -­‐	
  Average
14
15
16
17
18
19
20
21
22
23
24
-­‐10 0 10 20 30 40 50 60
Effective	
  Assembly	
  R-­‐value
Outdoor	
  Membrane	
  Surface	
  Temperature	
  (Indoor,	
  21oC)
Effective	
  Roof	
  Insulation	
  R-­‐value	
  -­‐ Based	
  on	
  Roof	
  Membrane	
  Temperature
Stone	
  Wool	
  (Initial	
  or	
  Aged)
Hybrid	
  (Initial	
  Average)
Hybrid	
  (Aged)
Polyiso	
  (Initial	
  Average)
Polyiso	
  (Aged)
Varying R-value of Field Roof Assemblies
Field Monitoring Findings
Study Findings: What is the
Impact of Membrane Colour?
32
50
68
86
104
122
140
158
176
194
0
10
20
30
40
50
60
70
80
90
May Jun Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr
Temperature	
  [°F]
Temperature	
  [°C]
Monthly	
  Average	
  of	
  Daily	
  Maximum	
  Membrane	
  Temperatures	
  and	
  Maximum	
  Membrane	
  
Temperature	
  for	
  Each	
  Month	
  by	
  Membrane	
  Colour
White Grey Black White	
  -­‐	
  Maximum Grey	
  -­‐	
  Maximum Black	
  -­‐	
  Maximum
* *
*W-­‐ISO-­‐SW had	
  significant	
  data	
  loss	
  in	
  August	
  and	
  September	
  and	
  is	
  removed	
  from	
  the	
  average	
  for	
  those	
  months.
Colour – Impact on Surface Temperatures
à  Increased temperatures affect:
à  Membrane degradation/durability
à  Heat/Energy Flow through assembly
Study Findings: What is the
impact of insulation arrangement?
Insulation Impact on Peak & Lagging
Membrane & Metal Deck Temperatures
RoofMembraneMetalDeck
Heat Flow – Variation with Insulation Strategy
SENSOR CODING:
SW - stone wool, ISO – polyiso, ISO-SW - hybrid
-­‐25
-­‐20
-­‐15
-­‐10
-­‐5
0
5
10
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Heat	
  Flux	
  [W/m²]
Heat	
  Flux	
  Sensors
	
  G-­‐ISO	
  HF
	
  G-­‐ISO-­‐SW	
  HF
	
  G-­‐SW	
  HF
Net Annual Impact of Insulation Strategy
0
100
200
300
400
500
600
-­‐150
-­‐100
-­‐50
0
50
100
May Jun Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr Annual
Degree	
  Days	
  [°C·∙days]
Daily	
  Energy	
  Transfer	
  [W·∙hr/m²	
  per	
  day]
Monthly	
  Average	
  Daily	
  Energy	
  Transfer	
  by	
  Insulation	
  Arrangement
ISO ISO-­‐SW SW Heating	
  Degree	
  Days	
  (18°C)
OutwardHeat	
  FlowInwardHeat	
  Flow
1 W/m2 = 0.32 Btu/hr·ft2
Outward
HeatFlow
Inward
HeatFlow
Other Findings to Date
à  Insulation Movement monitoring ongoing
à  Observing daily insulation swings
à  Seeing some long-term movement of
insulation, but also movement of metal deck
structure interfering with long-term data
à  Relative Humidity and moisture movement
ongoing
à  Seeing harmless seasonal and daily
movement of built-in water vapor
à  Water vapor also moves energy – latent heat
à  Cut-tests confirm roofs all dry and no issues
Impact of Membrane Colour and
Insulation Strategy on Energy
Consumption
Energy Consumption and Membrane/
Insulation Design
à  Energy modeling performed for a
commercial retail building (ASHRAE
building prototype template) to compare
roof membrane colour & insulation strategy
à  Included more realistic thermal performance of
insulation into energy models
à  Stone wool: Lower R-value/inch
Higher heat capacity and mass
à  Polyiso: Higher R-value/inch
(varies with temperature a lot)
Lower heat capacity
Lower mass
à  Hybrid: Moderates temperature extremes
of polyiso – makes polyiso
perform better
Most Energy Efficient Roofing Combination?
Lighter membrane,
stone wool or hybrid
is better for same
design R-value
Darker membrane,
stone wool or hybrid
is better for same
design R-value
Conclusions & Continuing Research
à  Aging and temperature have significant effects on the thermal performance
of insulation – all types affected to varying degrees
à  Effective insulation R-values, thermal mass, latent heat transfer, membrane
colo(u)r all impact membrane temperatures and heat flows
à  Effects building energy consumption and membrane durability
Rated R-values of insulation do not tell the whole
story about actual heat flow through roofs.
à  2 years so far, but study is ongoing
à  Soiling, long-term movements, aging etc.
à  Confirm impacts of moisture movement within the assemblies
à  rdh.com
Questions
LORNE RICKETTS, MASC, EIT
LRICKETTS@RDH.COM – 604-873-1181

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NBEC 2014 - Conventional Roofs: Measuring Impacts of Insulation Strategy and Membrane Colour in Canada

  • 1. Conventional Roofs: Measuring Impacts of Insulation Strategy and Membrane Colour in Canada LORNE RICKETTS, MASC RDH BUILDING ENGINEERING LTD. VANCOUVER, BC CO-AUTHORS: GRAHAM FINCH, MASC, P.ENG. & MARCUS DELL, MASC P.ENG.
  • 2. Outline à  Introduction & Background à  What prompted the study? à  Study of Conventional Roof Performance à  Laboratory Testing à  Field Monitoring à  Energy Modelling à  Conclusions & Areas of Continuing Research
  • 3. Conventional Roofing Recap à  Most common low-slope roof in North America à  Air barrier and vapour control layer below insulation on top of structure, then insulation, then membrane on top à  Insulation typically foam plastic (polyiso, EPS), mineral fibre also used à  Roof slope typically achieved by tapered insulation unless structure is sloped à  Roof membrane exposed to temperature, UV, traffic – needs to be durable à  Attachment of membrane/insulation can be adhered, mechanically attached, loose laid ballasted, or combination
  • 4. Polyiso Shrinkage Ridged Membrane Insulation Issues à  Long-term shrinkage à  Thermal expansion/contraction What Prompted the Study? XPS Expansion EPS Shrinkage
  • 5. What Prompted the Study? Cover Board Issues à  Delamination & fungal growth Wood fiberboard cover-board wetting and delamination Wetting & resulting fungal growth on gypsum cover board
  • 6. What Prompted the Study The Great Colo(u)r Debate à  Darker Colours (more absorptive, less reflective) à  Higher temperatures, more movement and membrane stress, higher cooling loads, lower heating loads à  Lighter Colours (less absorptive, more reflective) à  Lower temperatures, less movement and membrane stress, lower cooling loads, higher heating loads à  LEED points for use of highly reflective roofs regardless of energy implication and local climate à  Balance needed between membrane durability, assembly movement, heating and cooling loads Confused owner? New 5 Years Old
  • 7. Study of Conventional Roof Performance
  • 8. Guiding Purpose of the Study – Why? à  Quantify performance of different colours of exposed roof membrane à  White, Grey, & Black à  Quantify performance of different insulation types à  Stone wool, Polyiso, & Hybrid à  Quantify combined impact of membrane colour and insulation à  Observe impact of the long-term soiling of white SBS cap sheets à  Monitor long-term shrinkage/movement of insulation and relative humidity/moisture levels within insulation à  Laboratory testing of material properties
  • 9. Roof Membrane Colours à  3 different 2-ply SBS roof membrane cap sheet colours (white reflective, grey, black) White Reflective Cap Sheet: SRI 70, Reflectance 0.58, Emittance 0.91 Grey Cap Sheet: SRI 9, Reflectance 0.14, Emittance 0.85 Black Cap Sheet: SRI -4, Reflectance 0.04, Emittance 0.85
  • 10. 3 Different Insulation Strategies Stone wool - R-21.4 (2.5” + 3.25”, adhered) Weight: 26.7 kg/m2 Heat Capacity: 22.7 kJ/K/m2 Polyiso - R-21.5 (2.0” + 1.5”, adhered) Weight: 4.6 kg/m2 Heat Capacity: 6.8 kJ/K/m2 Hybrid - R-21.3 (2.5” Stone wool + 2.0” Polyiso, adhered) Weight 14.3 kg/m2, Heat Capacity – 13.7 kJ/K/m2 Design target: Each Assembly the same ~R-21.5 nominal
  • 11. Insulation and Cap Sheet Layout à  9 unique roof test areas, each 40’ x 40’ and each behaving independently à  Similar indoor conditions (room temperature) and building use (warehouse storage) à  Climate Zone 4 Polyiso   Hybrid   Stone  wool   120’   120’   Grey White Black Polyiso Hybrid Stonewool
  • 12. Sensor Selection and Installation à  Temperature à  Heat Flux à  Relative Humidity à  Moisture Detection à  Displacement à  Solar Radiation Heat Flux Relative Humidity & Moisture Detection Displacement Temperature Solar Radiation
  • 14. Laboratory Testing of Insulation R-values à  3rd Party ASTM C518 thermal transmission material testing à  Polyiso and stone wool insulation removed from site & 4 year old polyiso samples from prior study
  • 15. Laboratory Testing of Project Insulation 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 -­‐10 0 10 20 30 40 50 R-­‐value  per  inch Mean  Temperature  of  Insulation  [°C] Installed  &  Aged  Insulation  R-­‐values  -­‐ Based  on  Mean  Temperature Polyiso  -­‐  Maximum Polyiso  -­‐  Average Polyiso  -­‐  Minimum Polyiso  -­‐  Aged  (4  years) Stone  Wool  -­‐  Average
  • 16. 14 15 16 17 18 19 20 21 22 23 24 -­‐10 0 10 20 30 40 50 60 Effective  Assembly  R-­‐value Outdoor  Membrane  Surface  Temperature  (Indoor,  21oC) Effective  Roof  Insulation  R-­‐value  -­‐ Based  on  Roof  Membrane  Temperature Stone  Wool  (Initial  or  Aged) Hybrid  (Initial  Average) Hybrid  (Aged) Polyiso  (Initial  Average) Polyiso  (Aged) Varying R-value of Field Roof Assemblies
  • 18. Study Findings: What is the Impact of Membrane Colour?
  • 19. 32 50 68 86 104 122 140 158 176 194 0 10 20 30 40 50 60 70 80 90 May Jun Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr Temperature  [°F] Temperature  [°C] Monthly  Average  of  Daily  Maximum  Membrane  Temperatures  and  Maximum  Membrane   Temperature  for  Each  Month  by  Membrane  Colour White Grey Black White  -­‐  Maximum Grey  -­‐  Maximum Black  -­‐  Maximum * * *W-­‐ISO-­‐SW had  significant  data  loss  in  August  and  September  and  is  removed  from  the  average  for  those  months. Colour – Impact on Surface Temperatures à  Increased temperatures affect: à  Membrane degradation/durability à  Heat/Energy Flow through assembly
  • 20. Study Findings: What is the impact of insulation arrangement?
  • 21. Insulation Impact on Peak & Lagging Membrane & Metal Deck Temperatures RoofMembraneMetalDeck
  • 22. Heat Flow – Variation with Insulation Strategy SENSOR CODING: SW - stone wool, ISO – polyiso, ISO-SW - hybrid -­‐25 -­‐20 -­‐15 -­‐10 -­‐5 0 5 10 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Heat  Flux  [W/m²] Heat  Flux  Sensors  G-­‐ISO  HF  G-­‐ISO-­‐SW  HF  G-­‐SW  HF
  • 23. Net Annual Impact of Insulation Strategy 0 100 200 300 400 500 600 -­‐150 -­‐100 -­‐50 0 50 100 May Jun Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr Annual Degree  Days  [°C·∙days] Daily  Energy  Transfer  [W·∙hr/m²  per  day] Monthly  Average  Daily  Energy  Transfer  by  Insulation  Arrangement ISO ISO-­‐SW SW Heating  Degree  Days  (18°C) OutwardHeat  FlowInwardHeat  Flow 1 W/m2 = 0.32 Btu/hr·ft2 Outward HeatFlow Inward HeatFlow
  • 24. Other Findings to Date à  Insulation Movement monitoring ongoing à  Observing daily insulation swings à  Seeing some long-term movement of insulation, but also movement of metal deck structure interfering with long-term data à  Relative Humidity and moisture movement ongoing à  Seeing harmless seasonal and daily movement of built-in water vapor à  Water vapor also moves energy – latent heat à  Cut-tests confirm roofs all dry and no issues
  • 25. Impact of Membrane Colour and Insulation Strategy on Energy Consumption
  • 26. Energy Consumption and Membrane/ Insulation Design à  Energy modeling performed for a commercial retail building (ASHRAE building prototype template) to compare roof membrane colour & insulation strategy à  Included more realistic thermal performance of insulation into energy models à  Stone wool: Lower R-value/inch Higher heat capacity and mass à  Polyiso: Higher R-value/inch (varies with temperature a lot) Lower heat capacity Lower mass à  Hybrid: Moderates temperature extremes of polyiso – makes polyiso perform better
  • 27. Most Energy Efficient Roofing Combination? Lighter membrane, stone wool or hybrid is better for same design R-value Darker membrane, stone wool or hybrid is better for same design R-value
  • 28. Conclusions & Continuing Research à  Aging and temperature have significant effects on the thermal performance of insulation – all types affected to varying degrees à  Effective insulation R-values, thermal mass, latent heat transfer, membrane colo(u)r all impact membrane temperatures and heat flows à  Effects building energy consumption and membrane durability Rated R-values of insulation do not tell the whole story about actual heat flow through roofs. à  2 years so far, but study is ongoing à  Soiling, long-term movements, aging etc. à  Confirm impacts of moisture movement within the assemblies
  • 29. à  rdh.com Questions LORNE RICKETTS, MASC, EIT LRICKETTS@RDH.COM – 604-873-1181