wall-ace€¦ · removal of the old plaster application of the primer and preparation of the...

Wall-ACE – Workshop – 3 September 2019, Rome

Performance of plasters in Laboratory tests

and Buildings

Wall-ACE Wall Insulation Novel Nanomaterials Efficient Systems

1

POLITO

Working team: Stefano Fantucci (PhD resercher)

Elisa Fenoglio (PhD student)

Valentina Serra (Associate Professor)

Marco Perino (Full Professor)

Presenter: Stefano Fantucci, <[email protected]>

Wall-ACE – Workshop – 3 September 2019, Rome 2

Developed materials:

Internal thermal plaster

Thermal coating-finishing

• Low density

• Low thermal

conductivity

• High insulating

performance

10

– 1

00

mm

<

10 m

m

Min

era

l B

ind

ers

+

ad

ditiv

es


Density

Porosity

Formulation Water adsorption

Adsorption curve

>0.4 MPa Compression

Flexural

Adesion

Specific heat

< 0.2 W/mK Thermal

conductivity Application and

monitoring at case

study buildings < 15 Water vapour resistance factor

Testing procedures for plaster and coatings:

PO

LIT

O

PO

LIT

O

PO

LIT

O

PO

LIT

O -

US

TU

TT

Hygric Mechanical Thermal

In-lab In-situ


Thermal conductivity and specific heat capacity test

Sample size Conditioning of sample in oven of climatic chamber

Sample wrapping Heat Flux Meter adopted


Thermal insulating coating finishing

Internal thermal plaster

5

Thermal conductivity measurements - results

0.063 0.060 0.052 0.050

0.044 0.042 0.034

0.027

0

0.01

0.02

0.03

0.04

0.05

0.06

0.07

λ

[W/m

K]

In-s

itu

0.120

0.102

0.057 0.051 0.056 0.051

0.028

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

λ

[W

/mK

]

In-s

itu

In-s

itu

In-s

itu


Hygrothermal laboratory characterisation

0

10

20

30

40

50

60

70

80

90

0% 20% 40% 60% 80% 100%Sample dried 55% 70% 80% 90%

Free

water

saturation

Relative humidity level set for the measures

Mo

istu

re c

on

ten

t

Water vapour resistance factor

μ

Plaster Thermal coating finish

025 INT_490 RAS_024 RAS_492

8.3 1.8 10.7 2.8

Hyg

rosco

pic

so

rptio

n

Wa

ter

va

po

ur

pe

rme

ab

ility

Samples Climatic chamber adopted


Two different formulation applied and monitored for each material

Internal thermal plaster Thermal coating-finishing

Formulation 024

λ=0.051 W/mK

Formulation Ras_492

λ= 0.028 W/mK

Formulation 025

λ=0.050 W/mK

Formulation Int_490

λ= 0.027 W/mK

The case study 1920’ building (TORINO) The selected walls to be tested

Re

fere

nce w

all

Re

tro

fitte

d w

all

Application and in-field measurements

The monitoring phase


Experimental Activities (insulating coating finishing)

8

• First application (024) December 2017

• Second application (Ras_490) February 2019

The previously applied

coating (024) was

replaced by the last

optimized formulation

Ras_492

λ= 0.028 W/mK

Thickness ~10 mm Coate

d w

all

Refe

rence w

all


Coating finishing: Results of the monitoring campaign

0.50

0.55

0.60

0.65

0.70

0.75

0.80

0.85

0.90

0.95

1.00

1.05

1.10

1.15

1.20

1.25

1.30

1.35

1.40

1.45

1.50

U [

W/m

2K

]

U_Ras024 U_Ref

-30%

12 mm (Ras_024) – λ 0.051 W/mK

2017-2018 10 mm (Ras_492) – λ 0.028 W/mK 2019

0.50

0.55

0.60

0.65

0.70

0.75

0.80

0.85

0.90

0.95

1.00

1.05

1.10

1.15

1.20

1.25

1.30

1.35

1.40

U [

W/m

2K

]

U_Ras490 U_REFU_Ras_492

-40%


Experimental results – Mitigation of thermal bridges

10

As Bs Cs Cen

tre

Temperature sensor

Difference of reference and coated surface temperature

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0 0.5 1 1.5 2 2.5 3 3.5

ΔTs [°C]

ΔTsi_centre wall ΔTsi_c

C

(coldest

point)

Ce

ntr

e

Cu

mu

lative

fre

qu

ency

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

ΔTs [°C]

C

(coldest

point)

Ce

ntr

e

Cu

mu

lative

fre

qu

ency

+1.1 +2.1

Ras_

02

4

Co

ate

d w

all

R

ef.

W

all

EX

TE

RN

AL

SID

E

INT

ER

NA

L S

IDE

Ras_

49

2

+1 +1.6

Coating layer


Experimental Activities (insulating plaster)

11

Equal distinct rooms

were selected for the

material application

Formulation 025P

λ=0.050 W/mK

Formulation Int_490

λ= 0.027 W/mK

Thickness ~50 mm

Thickness ~45 mm

Application of thermal insulating plaster formulation October 2018

Application of the primer and preparation of the plaster Application of the plaster Final smoothing Removal of the old plaster


Monitoring campaign performed on the two different plastered walls

Centre of wall measure

Thermal bridge measure Walls selected for the two thermal

plasters application

Monitoring system

Temperature and Relative

Humidity sensors

Temperature sensors

Refe

rence w

all

Pla

ste

red w

all

Tb

_a

Tb

_b

Tb

_c

Interface

Ext

Cavity

Tsi

Temperature and relative humidity sensors

Temperature sensors Heat flux sensor

Plastered wall (INT)

Reference wall

(REF)

Cavity

Tb

_a

Tb

_b

Tb

_c

Tsi

Cavity


Results of the monitoring campaign (2019)

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

1.1

1.2

01/04/2019 03/04/2019 05/04/2019 07/04/2019

U [

W/m

2K

]

U Int_490

U REF-58%

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

1.1

1.2

01/04/2019 02/04/2019 04/04/2019 06/04/2019 08/04/2019

U [

W/m

2K

]

U_Ref

U_Int_025

0,069

0,052 0.039

0.027

0.00

0.01

0.02

0.03

0.04

0.05

0.06

0.07

0.08

0.09

λ in situ_025 λ lab_025 λ in situ_Int490

λ lab_Int490

λ [

W/m

K]

-47%

In-situ VS In-Lab performance

Δλ ~25%

Δλ ~30%


Conclusion

14

• The optimization process allow to achieve a λ-value < 0.03 W/mK for

both the thermal coating finishing and thermal insulating plaster;

• The in-field application and monitoring show a reduction of the walls

thermal transmittance between 30% and ~60% depending on the

material and on the formulation;

• The surface temperature shows an increment due to the insulating

coating application of about 1.6 – 2.1°C for 60% of the monitoring

period in the coldest point;

• The materials applied in-field show an increment of the thermal

conductivity of 25-30% if compared to the value measured in laboratory;


Analysis of the ATC

building stock to identify the

most common buildings

typology

Internal retrofit

< 1900 1949 1976 1990

Internal + external retrofit

Definition of the retrofit

interventions according to the

building construction period

and typology

Dynamic thermal simulation

Analysis of the

reduction of energy

demands with the

different retrofit

configurations 0%

10%

20%

30%

40%

0 20 40 60Tickness [mm]

Qh

re

du

cti

on

Scale up the

result to all the

building stock

analysed

In progress: Simulations on case studies Identify the scalability and replicability of the retrofit scenario and its impact in a

large building stock


Thank you for your

attention!

16

Stefano Fantucci, Politecnico di Torino,

[email protected]

ACKNOWLEDGMENTS

The research project Wall-ACE has received funding from the EU Horizon 2020

research and innovation programme under the Grant Agreement No. 723574.

wall-ace€¦ · removal of the old plaster application of the primer and preparation of the...

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