802a6037-c8b4-4519-82d3-4f1dd7aaa971
ACRYLAN MAX
Best In Class overall performance nano TRIBRID acrylic water-based emulsion paint for exterior walls.
Scope and type:
The type of this EPD is Cradle-to-Grave. All steps from the extraction of natural resources to
re-application and the final disposal of the product are included in the environmental performance.
This EPD is an average EPD representative for ACRYLAN MAX products produced in Greece and
sold in Europe. The paint is produced in Aspropyrgos Attiki, Greece and the application market is for
customers within the European region. Likewise, for the end-of-life, the fate of the paint product is
described within a European context.
The software GaBi 10.5.0.78 is used to perform the LCA. Background processes sourced from
Ecoinvent v3.6 2019 and the Raw materials LCI database for the European coatings and printing
ink industries 2016.
PRODUCT STAGE
CONSTRUCTION
USE STAGE
END OF LIFE
BENEFITS AND
PROCESS
STAGE
LOADS BEYOND THE
STAGE
SYSTEM BOUNDARIES
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X = Modules Assessed
ND = Not Declared
Figure: LCA process diagram according to EN 158047.2.1
Representativeness:
The EPD is representative for the four paints belonging to ACRYLAN MAX:
1. ACRYLAN MAX white
2. ACRYLAN MAX base white
3. ACRYLAN MAX base medium
4. ACRYLAN MAX base transparent
This EPD is representative for the products manufactured in Greece and sold in Europe. The paint is
produced at one production site: Imeros Topos, 19300 Aspropyrgos Attiki, Greece.
Calculation rules:
Data quality and data collection period
Data quality requirements follow EN15804+A2:2019, data is checked for plausibility with mass
balances in the foreground processes. Used datasets are complete according to the system
boundary, and are as current as possible. Data collection period is of reference year 2021, based on
1 year averaged data. Data gaps such as i.e. transport data, end of life scenarios, were covered with
data generic values for transport as described in the Product Environmental Footprint Category
Rules - Decorative Paints document version 1.0 published by CEPE and reviewed in April 2018.
Processes used in the background modelling are referring to the widely used databases of recent
release Ecoinvent 3.6, 2019; CEPE, 2016 and are consistent with the foreground modelling in
system limits and allocation procedures. The technological and geographical coverage reflects the
physical reality as far as possible taking into account the technology mix, location, and
representativeness of technologies, input materials, and input energies for the region. Data quality is
assessed as fair and adequate to the goal and scope of the study.
Cut-off criteria and allocation procedures
No cut-offs were intentionally applied to inputs and outputs within the system boundaries in the
models. Coproduct and system allocation in the foreground system is according to the EN15804+A2.
Cut-off and allocation procedures in the background processes are according to the respective
methodologies and estimated to be methodologically consistent with the foreground system.
Parameter
Unit
Value
Coverage test data, CR 98%
m2/L
11.82
Paint density
kg/L
1.26
VOC content ISO 11890-2: 2020
g/L
9
Durability
years
15
Quality level
-
Q1
Scenarios and additional technical information
Product stage is reported in one module A1-A3. This life cycle stage includes the extraction and
processing of raw materials for the product and the packaging, their transportation to the production
site by road, and the manufacturing process. The latter includes all processes linked to the
production, such as storing, mixing, packing, and internal transportation, covering material and
energy consumption, waste treatment and emissions. Data regarding paint production was provided
for each paint variation formulation and for the production site for the shared processes. Data on
packaging, transportation distances and transportation modes are derived from the default scenarios
of the product environmental footprint category rules PEF CR for decorative paints v.1 2018.
Electricity consumption was modelled based on the primary data on the amount and source of the
electricity, with the use of Ecoinvent 3.6 database for modelling of the background processes.
Product's distribution to the building site A4 includes transportation as well as storage and wastage
of the products along the distribution leg formally A4-A5, classified within the study to A4. The
distribution leg includes two intermediate points between the production site and the final user:
regional distribution centre RDC and point of sales PoS. Stage B1 refers to the paint use and
follows the scenario of use developed in the PEF CR for decorative paints v1, including leaching
biocides during the use stage. Transport and storage data are based on the scenarios developed
within the PEF CR for Decorative Paints v1.
Transportation
parameters
Raw materials
transportation
Packaging
transportation
Transportation
to the RDC
Transportation
to the PoS
Transportation
to customer
Vehicle type used for
transport
Articulated lorry
Articulated lorry
Articulated lorry
Articulated lorry
Passenger car
with internal
combustion
engine
Distance, km
460
250
250
250
60
Capacity, t
7.5-16
7.5-16
7.5-16
7.5-16
N/A
Average load factor, t
3.29
3.29
3.29
3.29
N/A
Bulk density of transported
products, kg/m3
1427
1427
1427
1427
N/A
Waste treatment and end
of life parameters
unit
Hazardous
waste
Non-hazardous
waste
Wet paint waste
Paint in Use
Share sent to incineration
with energy recovery
w/w
0.45
0.45
0.45
NA
Share sent to landfilling
w/w
0.55
0.55
0.55
NA
VOC emissions to air
% of VOC content
NA
NA
100%, emissions
to air
NA
Biocides leaching
% of biocidal
content
NA
NA
100%, emissions
to fresh water
100% emissions
to fresh water
Energy recovery from
incineration, electricity
MJ/kg of
incinerated waste
17.1
1.01
1.01
NA
Energy recovery from
incineration, heat
MJ/kg of
incinerated waste
1.27
2.16
2.16
NA
Stage A5 refers to the paint application and follows the scenario of application developed in the PEF
CR for decorative paints v1, including auxiliary materials composition. The stage includes use of
auxiliary materials, use of water and water heating, waste water treatment processes, and other
waste treatment.
Application paramter
Unit
Value
Auxiliary materials
kg/m2 of painted surface
1.12E-2
Tap water
kg/m2 of painted surface
0.37
Energy for water heating
MJ/m2 of painted surface
0.03
Waste water treatment
kg/m2 of painted surface
0.37
Unused paint disposed
kg/m2 of painted surface
0,0132
Other non-hazardous waste generated
kg/m2 of painted surface
0,0166
Direct emissions to air, VOC
kg/m2 of painted surface
1.36E-3
Parameter
Unit
Value
Reference service life
years
50
Refurbishment process
-
Paint is reapplied following the
initial life cycle
Refurbishment cycle
Number per RSL
2,33
Energy input during refurbishment
kWh
all inputs as follows from the initial
application
Material input for refurbishment
kg
all inputs as follows from the initial
application
Waste material
kg
all outputs as follows from the
initial application
Electricity generation on site
VITEX supports development of renewable energy in Greece. The manufacturing facilities are
equipped with the 10000 m² roof solar park that supplies electricity to the grid. In the period under
evaluation, 763,25 kWh is supplied to the electricity grid, which potentially could have covered 49,5%
of the total yearly electricity demand of the company.
Declaration of SVHC:
None of the substances contained in the product are listed in the fiCandidate List of Substances of
Very High Concern for authorisationfl or they do not exceed the threshold with the European
Chemicals Agency
More information:
http://www.vitex.gr/product/acrylan-max/
0
2022
2027
valid from (Friday 11 February 2022) through (Thursday 11 February 2027)
gültig von (Freitag 11 Februar 2022) bis (Donnerstag 11 Februar 2027)
geldig van (vrijdag 11 februari 2022) tot (donderdag 11 februari 2027)
2022-02-11
Ultra-durable innovative acrylic paint for exterior masonry surfaces based on nano TRIBRID
Technology Silica - Acrylic ΠSilicone. It offers superior performance, long lasting durability as well
brighter colours which are looking fresher and will not fade, ensuring that the building continues to
look beautiful over time. Its unique Dirt Pick Up resistance and anti-soiling tendency fights out
inorganic, organic and biological pollutants and thereby retains the initial beauty. Due to its strong
inorganic character the painted surfaced dries fast after rainfall and provides a high-water vapour
permeable coating.
Acrylan MAX offers very high added value to the building due to lower renovation cost and longer
lifetime as well as lower environmental impact. Acrylan MAX is a certified from the University of
Athens, department of Physics as a cool paint characterized by high solar reflectance value SR,
high infrared emittance å and high reflectance index value SRI.
Production process:
Production process includes measurement of ingredients, preparation and pigment dispersion,
let-down, quality control and canning.
Technical Characteristics:
Density: 1,28 ± 0,02 kg / L ISO 2811 for the white; 1,26 kg / L for the EPD representative paint
Gloss: < 5 units @ 60° ISO 2813
Quality: Q1 according to the durability scheme of the PEF CR for Decorative paints v.1: estimated
durabilty 15 years, 3,33 reapplication for the 50 years reference service life
Typical use:
New or old surfaces such as plaster, concrete or spatula surfaces, after proper preparation
Application method:
Dilute up to10% with water and stir well before use. Apply the first coat by brush, roller or airless
spray gun. Recoat after 3-4 hours.
Pack size:
The paint is available in the following pack sizes
White: 750ml, 3L, 10L
Bases: 1L, 3L, 10L
COMPONENT > 1%
[kg / %]
Light fast pigments
Confidential
Solvent: water
Confidential
Filler
Confidential
Binder, by polymerization in water
Confidential
* > 1% of total mass
EPD
specific dataset
ecoinvent 3.5 database
PDF EPD for 1.1.00270.2022 VITEX S.A.
ing. Kamiel Jansen, Aveco de Bondt
EN 15804+A2
ISO 14025
Natalia Chebaeva, Ecomatters
2022-02-11T00:00:00
ILCD format 1.1
EPD Data Format Extensions v1.2
10.00.001
Stichting MRPI®
1.1.00270.2022
VITEX S.A.
true
Free of charge for all users and uses
ACRYLAN MAX
1.0
Use of renewable primary energy (PERE)
Nutzung erneuerbarer Primärenergie (PERE)
Gebruik van hernieuwbare primaire energie exclusief hernieuwbare primaire energie gebruikt als materialen (PERE)
General reminder flow
Input
0.362
0.082
0.0411
0.0
0.0
0.0
0.0
1.13
0.0
0.0
0.0
2.1E-4
0.0
2.13E-4
-0.0235
MJ
Use of renewable primary energy resources used as raw materials (PERM)
Nutzung erneuerbarer Primärenergieträger als Rohstoffe (PERM)
Gebruik van hernieuwbare primaire energie gebruikt als materialen (PERM)
General reminder flow
Input
0.00663
0.00596
8.99E-4
0.0
0.0
0.0
0.0
0.0316
0.0
0.0
0.0
2.01E-5
0.0
1.46E-5
-0.00165
MJ
Total use of renewable primary energy resources (PERT)
Gesamteinsatz erneuerbarer Primärenergieressourcen (PERT)
Totaal gebruik van hernieuwbare primaire energie (hernieuwbare primaire energie en hernieuwbare primaire energie gebruikt als materialen) (PERT)
General reminder flow
Input
0.369
0.088
0.042
0.0
0.0
0.0
0.0
1.16
0.0
0.0
0.0
2.3E-4
0.0
2.28E-4
-0.0251
MJ
Use of non renewable primary energy (PENRE)
Einsatz nicht erneuerbarer Primärenergie (PENRE)
Gebruik van niet-hernieuwbare primaire energie (PENRE)
General reminder flow
Input
4.2
3.77
0.389
0.0
0.0
0.0
0.0
19.6
0.0
0.0
0.0
0.0136
0.0
0.0134
-0.277
MJ
Use of non renewable primary energy resources used as raw materials (PENRM)
Einsatz von nicht erneuerbaren Primärenergieträgern als Rohstoffe (PENRM)
Gebruik van niet-hernieuwbare primaire energie gebruikt als materialen (PENRM)
General reminder flow
Input
7.36E-7
0.0
0.0
0.0
0.0
0.0
0.0
1.72E-6
0.0
0.0
0.0
0.0
0.0
0.0
0.0
MJ
Total use of non renewable primary energy resource (PENRT)
Gesamtverbrauch nicht erneuerbarer Primärenergieträger (PENRT)
Totaal gebruik van niet-hernieuwbare primaire energie (niet-hernieuwbare primaire energie en niet-hernieuwbare primaire energie gebruikt als materialen) (PENRT)
General reminder flow
Input
4.2
3.77
0.389
0.0
0.0
0.0
0.0
19.6
0.0
0.0
0.0
0.0136
0.0
0.0134
-0.277
MJ
Use of secondary material (SM)
Verwendung von Sekundärmaterial (SM)
Gebruik van secundaire materialen (SM)
General reminder flow
Input
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
kg
Use of renewable secondary fuels (RSF)
Einsatz erneuerbarer Sekundärbrennstoffe (RSF)
Gebruik van hernieuwbare secundaire brandstoffen (RSF)
General reminder flow
Input
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
MJ
Use of non renewable secondary fuels (NRSF)
Einsatz von nicht erneuerbaren Sekundärbrennstoffen (NRSF)
Gebruik van niet-hernieuwbare secundaire brandstoffen (NRSF)
General reminder flow
Input
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
MJ
Use of net fresh water (FW)
Verwendung von Netto-Frischwasser (FW)
Netto gebruik van zoet water (FW)
General reminder flow
Input
0.15
7.23E-4
5.83E-4
0.0
0.0
0.0
0.0
0.353
0.0
0.0
0.0
1.6E-6
0.0
1.38E-5
-1.25E-4
MJ
Hazardous waste disposed (HWD)
Gefährlicher Abfall entsorgt (HWD)
Gevaarlijk afval (HWD)
General reminder flow
Output
1.75E-4
0.0
0.0
0.0
0.0
0.0
0.0
4.09E-4
0.0
0.0
0.0
0.0
0.0
0.0
0.0
MJ
Non hazardous waste dispose (NHWD)
Entsorgung nicht gefährlicher Abfälle (NWWD)
Niet-gevaarlijk afval (NHWD)
General reminder flow
Output
0.00376
0.0495
0.0298
0.0
0.0
0.0
0.0
0.317
0.0
0.0
0.0
0.0
0.0
0.0526
0.0
kg
Radioactive waste disposed (RWD)
Entsorgter radioaktiver Abfall (RWD)
Radioactief afval (RWD)
General reminder flow
Output
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
kg
Components for re-use (CRU)
Komponenten zur Wiederverwendung (CRU)
Componenten voor hergebruik (CRU)
General reminder flow
Output
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
kg
Materials for recycling (MFR)
Recyclingmaterialien (MFR)
Materialen voor recycling (MFR)
General reminder flow
Output
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
kg
Materials for energy recovery (MER)
Materialien zur Energierückgewinnung (MER)
Materialen voor energieterugwinning (MER)
General reminder flow
Output
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
kg
Exported electrical energy (EEE)
Exportierte elektrische Energie (EEE)
Geëxporteerde elektrische energie (EEE)
General reminder flow
Output
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
MJ
Exported thermal energy (EET)
Exportierte thermische Energie (EET)
Geëxporteerde thermische energie (ETE)
General reminder flow
Output
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
MJ
Global Warming Potential - total (GWP-total)
Treibhauspotenzial - gesamt (GWP-gesamt)
Klimaatverandering - totaal (GWP-totaal)
0.228
0.273
0.0496
0.0
0.0
0.0
0.0
1.3
0.0
0.0
0.0
9.0E-4
0.0
0.00629
-0.014
kg CO2-eqv.
Global Warming Potential - biogenic (GWP-biogenic)
Treibhauspotenzial - biogen (GWP-biogen)
Klimaatverandering - biogeen (GWP-biogeen)
-0.0151
0.00646
0.0126
0.0
0.0
0.0
0.0
0.00923
0.0
0.0
0.0
4.48E-7
0.0
4.57E-6
-2.23E-4
kg CO2-eqv.
Global Warming Potential - fossil fuels (GWP-fossil)
Treibhauspotenzial - fossile Brennstoffe (GWP-fossil)
Klimaatverandering - fossiele brandstoffen (GWP-fossiel)
0.243
0.267
0.0369
0.0
0.0
0.0
0.0
1.29
0.0
0.0
0.0
8.99E-4
0.0
0.00628
-0.0138
kg CO2-eqv.
Global Warming Potential - land use and land use change (GWP-luluc)
Treibhauspotenzial - Landnutzung und Landnutzungsänderung (GWP-luluc)
Klimaatverandering - landgebruik en verandering in landgebruik (GWP-luluc)
1.86E-5
1.19E-4
8.51E-5
0.0
0.0
0.0
0.0
5.21E-4
0.0
0.0
0.0
3.99E-7
0.0
2.74E-7
-1.66E-5
kg CO2-eqv.
Potential Comparative Toxic Unit for ecosystems (ETP-fw)
Potentielle vergleichende toxische Einheit für Ökosysteme (ETP-fw)
Ecotoxiciteit (zoetwater) (ETP-fw)
20.2
6.07
4.45
82.9
0.0
0.0
0.0
265.0
0.0
0.0
0.0
0.0119
0.0
0.0111
-0.0912
CTUe
Potential incidence of disease due to PM emissions (PM)
Potenzielle Inzidenz von Krankheiten aufgrund von PM-Emissionen (PM)
Fijnstof emissie (PM)
2.52E-8
1.34E-8
1.28E-9
0.0
0.0
0.0
0.0
9.34E-8
0.0
0.0
0.0
5.7E-11
0.0
9.1E-11
-1.25E-10
disease incidence
Eutrophication potential - marine (EP-marine)
Eutrophierungspotential - Marine (EP-Marine)
Vermesting - marien (EP-marien)
5.84E-4
2.66E-4
5.54E-5
0.0
0.0
0.0
0.0
0.00212
0.0
0.0
0.0
1.46E-6
0.0
1.63E-6
-8.44E-6
kg N eqv.
Eutrophication potential - freshwater (EP-freshwater)
Eutrophierungspotential - Süßwasser (EP-Süßwasser)
Vermesting - zoetwater (EP-zoetwater)
6.17E-5
4.12E-5
5.22E-6
0.0
0.0
0.0
0.0
2.53E-4
0.0
0.0
0.0
7.73E-8
0.0
8.93E-8
-6.98E-6
kg P eqv.
Eutrophication potential - terrestrial (EP-terrestrial)
Eutrophierungspotential - terrestrisch (EP-terrestrisch)
Vermesting - terrestrisch (EP-terrestrisch)
0.0028
0.0028
2.02E-4
0.0
0.0
0.0
0.0
0.0136
0.0
0.0
0.0
1.6E-5
0.0
1.77E-5
-8.21E-5
mol N eqv.
Potential Comparative Toxic Unit for humans - cancer effects (HTP-c)
Potenzielle vergleichende toxische Einheit für den Menschen - Krebswirkungen (HTP-c)
Humane toxiciteit, carcinogeen (HTP-c)
4.77E-10
2.15E-10
3.72E-11
0.0
0.0
0.0
0.0
1.71E-9
0.0
0.0
0.0
3.55E-13
0.0
6.91E-13
-2.39E-12
CTUh
Potential Comparative Toxic Unit for humans - non-cancer effects (HTP-nc)
Potentielle vergleichende toxische Einheit für den Menschen – nicht krebserregende Wirkungen (HTP-nc)
Humane toxiciteit, non-carcinogeen (HTP-nc)
3.24E-8
4.29E-9
8.59E-10
5.81E-9
0.0
0.0
0.0
1.01E-7
0.0
0.0
0.0
1.11E-11
0.0
9.26E-12
-7.96E-11
CTUh
Potential Human exposure efficiency relative to U235 (IRP)
Potenzielle Expositionseffizienz des Menschen im Verhältnis zu U235 (IRP)
Ioniserende straling (IRP)
0.0251
0.0183
0.0019
0.0
0.0
0.0
0.0
0.106
0.0
0.0
0.0
7.16E-5
0.0
6.34E-5
-0.00396
kBq U235 eqv.
Potential Soil quality index (SQP)
Potenzieller Bodenqualitätsindex (SQP)
Landgebruik gerelateerde impact / bodemkwaliteit (SQP)
1.85
1.53
0.245
0.0
0.0
0.0
0.0
8.57
0.0
0.0
0.0
0.008
0.0
0.0312
-0.0347
unitless
Water (user) deprivation potential (WDP)
Wasser-(Nutzer-)Entzugspotenzial (WDP)
Watergebruik (WDP)
6.44
0.0311
0.0251
0.0
0.0
0.0
0.0
15.2
0.0
0.0
0.0
6.89E-5
0.0
5.91E-4
-0.00538
m3 world eqv.
Depletion potential of the stratospheric ozone layer (ODP)
Abbaupotential der stratosphärischen Ozonschicht (ODP)
Ozonlaagaantasting (ODP)
3.14E-8
4.85E-8
1.63E-9
0.0
0.0
0.0
0.0
1.91E-7
0.0
0.0
0.0
2.0E-10
0.0
1.72E-10
-1.59E-9
kg CFC 11 eqv.
Formation potential of tropospheric ozone (POCP)
Bildungspotential von troposphärischem Ozon (POCP)
Smogvorming (POCP)
0.00131
9.58E-4
8.83E-4
0.0
0.0
0.0
0.0
0.00738
0.0
0.0
0.0
4.59E-6
0.0
6.45E-6
-2.23E-5
kg NMVOC eqv.
Abiotic depletion potential - fossil resources (ADPF)
Abiotisches Abbaupotenzial - Fossile Ressourcen (ADPF)
Uitputting van fossiele energiedragers (ADPF)
4.2
3.77
0.388
0.0
0.0
0.0
0.0
19.6
0.0
0.0
0.0
0.0136
0.0
0.0134
-0.277
MJ
Acidification potential, Accumulated Exceedance (AP)
Versauerungspotential, Accumulated Exceedance (AP)
Verzuring (AP)
0.00191
0.00109
1.05E-4
0.0
0.0
0.0
0.0
0.00725
0.0
0.0
0.0
4.41E-6
0.0
4.76E-6
-4.49E-5
mol H+ eqv.
Abiotic depletion potential for non fossil resources (ADPE)
Abiotisches Abbaupotenzial für nicht fossile Ressourcen (ADPE)
Uitputting van abiotische grondstoffen, ex fossiele energiedragers (ADPE)
1.31E-5
1.81E-5
1.48E-7
0.0
0.0
0.0
0.0
7.32E-5
0.0
0.0
0.0
3.25E-8
0.0
5.95E-9
-1.77E-8
kg Sb-eqv