Process Data set: MicroShade® Low-E Triple Glazing (en)

Process Data set: MicroShade® Low-E Triple Glazing (en) en

Process information

Key Data Set Information
Location	DK
Geographical representativeness description	Scandinavia and the UK
Reference year	2025
Name	MicroShade® Low-E Triple Glazing
Use advice for data set	Modules A1-A5 are included in the analysis. It includes the extraction and production of raw materials, transportation to the factory, the production process itself, transportation and assembly. C1-C4 are included in the analysis. It includes the end of life stage. Section D is also included it describes the Reuse-Recovery-Recycling-potential
Technical purpose of product or process	Triple-glazed unit with integrated passive solar shading, MicroShade, 1 m² of 6mm T MS-16-6mm ET-16-6mm ET. The unit is primarily applied in facades of larger buildings. The triple glazing provides high insulation performance and daylight transmission, while the built-in MicroShade layer reduces glare and direct solar gain without the need for external shading devices. This ensures a natural view and comfortable indoor climate with a durable, maintenance-free solution. The product consists of a triple-glazed insulating glass unit with integrated passive solar shading (MicroShade®). A typical configuration includes three glass panes with low-emissivity coatings and argon-filled cavities. The MicroShade® element is embedded between the panes, providing solar control without moving parts. Total thickness: 50 mm Summer effective g-value: 0.12 Ug-value: 0.58 W/m²K Light transmittance (tv): 0.51% Colour rendering index (Ra): 93 Shading coefficient: 0.37 The product is manufactured and tested according to EN 1279.
Classification	Class name : Hierarchy level EPDNorge: Construction
General comment on data set	Data quality: Specific data for the product composition are provided by the manufacturer. The data represent the production of the declared product and were collected for EPD development in the year of study. Background data is based on EPDs according to EN 15804 and different LCA databases. The data quality of the raw materials in A1 is presented in the table below. Allocation: The allocation is made in accordance with the provisions of EN 15804. Incoming energy and water and waste production in-house is allocated equally among all products through mass allocation. Effects of primary production of recycled materials is allocated to the main product in which the material was used. The recycling process and transportation of the material is allocated to this analysis. Cut-off criteria: All major raw materials and all the essential energy is included. The production processes for raw materials and energy flows with very small amounts (less than 1%) are not included. These cut-off criteria do not apply for hazardous materials and substances.
Copyright	Yes
Owner of data set	Glaseksperten A/S
Quantitative reference
Reference flow(s)	MicroShade® Low-E Triple Glazing - 1.0 * 1.0 qm (Area)
Biogenic carbon content	Carbon content (biogenic): 0.0 kg Carbon content (biogenic) - packaging: 0.2480500002 kg
Time representativeness
Data set valid until	2030
Time representativeness description	2025-11-08 - 2030-11-08
Publication date	2025-11-08
Technological representativeness
Technology description including background system	Complies with the requirements of EN 1279-5:2018 and EN 1279-6:2018 - Insulating floatglass units acc. To GTC Complies with the requirements of DS-EN 12150-1:2015 Glass in building. Thermally toughened soda lime silicate safety glass - Part 1. DS-EN 12600:2003 Glass in building. Pendulum test - Impact test method for float glass.

Modelling and validation

Subtype

specific dataset

LCA methodology report

NS-EN 17074 Glass in building PCR

Data sources, treatment and representativeness

Documentation of data quality management

NS-EN 17074 Glass in building PCR

Data source(s) used for this data set

ecoinvent database (all versions)

Original EPDs

NEPD-12448-12520_MicroShade---Low-E-Triple-Glazing.pdf

Completeness

Validation

Type of review
Independent external review

Reviewer name and institution
Elisabet Amat

Compliance Declarations

Compliance

Compliance system name

EN 15804+A2

Approval of overall compliance

Fully compliant

Nomenclature compliance

Fully compliant

Methodological compliance

Fully compliant

Review compliance

Fully compliant

Documentation compliance

Fully compliant

Quality compliance

Fully compliant

Compliance

Compliance system name

ISO 14025

Approval of overall compliance

Fully compliant

Nomenclature compliance

Fully compliant

Methodological compliance

Fully compliant

Review compliance

Fully compliant

Documentation compliance

Fully compliant

Quality compliance

Fully compliant

Compliance

Compliance system name

ISO 21930

Approval of overall compliance

Fully compliant

Nomenclature compliance

Fully compliant

Methodological compliance

Fully compliant

Review compliance

Fully compliant

Documentation compliance

Fully compliant

Quality compliance

Fully compliant

Administrative information

Data generator
Data set generator / modeller	LCA.no AS
Data entry by
Time stamp (last saved)	2025-11-08T13:50:07
Data set format(s)	ILCD format EPD Data Format Extensions v1.2
Publication and ownership
UUID	ba6db08a-f127-4790-91aa-d83a9308cc2d
Date of last revision	2025-09-23T13:47:26.1846221Z
Data set version	00.02.001
Registration authority	EPD Norway
Registration number	NEPD-12448-12520
Owner of data set	Glaseksperten A/S
Copyright	Yes
License type	Free of charge for all users and uses
Access and use restrictions	None
Publisher	EPD Norway

Environmental indicators

Indicators of life cycle

Indicator	Direction	Unit	Production A1-A3	Transport A4	Installation A5	Transport C2	Waste processing C3	Disposal C4	Recycling Potential D
Use of renewable primary energy (PERE)	Input	MJ	311.5	0.5057	0.003898	0.37	0.2235	0.01625	-42.94
Use of renewable primary energy resources used as raw materials (PERM)	Input	MJ	9.234	0	-8.329	0	-0.905	0	0
Total use of renewable primary energy resource (PERT)	Input	MJ	320.7	0.5057	-8.325	0.37	-0.6815	0.01625	-42.94
Use of non renewable primary energy (PENRE)	Input	MJ	1.3E+3	35.33	0.1897	25.85	2.235	0.6789	-426.9
Use of non renewable primary energy resources used as raw materials (PENRM)	Input	MJ	38.82	0	0	0	-38.82	0	-1.071
Total use of non renewable primary energy resource (PENRT)	Input	MJ	1339	35.33	0.1897	25.85	-36.59	0.6789	-428
Use of secondary material (SM)	Input	kg	3.397	0	0	0	0	0	-0.0001447
Use of renewable secondary fuels (RSF)	Input	MJ	6.216	0.01809	0.0001137	0.01324	0.00647	0.0004197	-0.007311
Use of non renewable secondary fuels (NRSF)	Input	MJ	0.22	0.06469	0.001295	0.04733	0.001945	0.01424	-1.384
Use of net fresh water (FW)	Input	m3	1.204	0.003778	0.0001381	0.002764	0.009278	0.0006185	-0.248
Hazardous waste disposed (HWD)	Output	kg	0.6361	0.001822	0	0.001333	0.0005356	2.403	-0.1463
Non hazardous waste dispose (NHWD)	Output	kg	22.54	1.718	0.6	1.257	2.348	0.2123	-2.732
Radioactive waste disposed (RWD)	Output	kg	0.01744	0.0002407	0	0.0001761	0.000005099	0.0000041	-0.001406
Components for re-use (CRU)	Output	kg	0	0	0	0	0	0	0
Materials for recycling (MFR)	Output	kg	3.84	0	0.00001408	0	42.71	0.000001697	0
Materials for energy recovery (MER)	Output	kg	0.06078	0	0.5951	0	4.209	4.151E-8	0
Exported electrical energy (EEE)	Output	MJ	0.03612	0	0.414	0	2.599	0.000002693	0
Exported thermal energy (EET)	Output	MJ	0.5464	0	6.263	0	39.32	0.00004074	0

Core environmental impact indicators

Indicator	Unit	Production A1-A3	Transport A4	Installation A5	Transport C2	Waste processing C3	Disposal C4	Recycling Potential D
Abiotic depletion potential - fossil resources (ADPF)	MJ	1315	35.33	0.1897	25.85	2.235	0.6789	-427.8
Abiotic depletion potential - non-fossil resources (ADPE)	kg Sb-eqv.	0.001728	0.00006454	2.618E-7	0.00004722	9.004E-7	4.926E-7	-0.003385
Acidification potential, Accumulated Exceedance (AP)	mol H+ eqv.	0.4334	0.006715	0.0001298	0.004913	0.001454	0.0002168	-0.4208
Global Warming Potential - biogenic (GWP-biogenic)	kg CO2 eqv.	3.786	0.0009671	0.9096	0.0007076	0.0007505	0.0000245	-0.3781
Global Warming Potential - fossil fuels (GWP-fossil)	kg CO2 eqv.	89.03	2.336	0.01615	1.709	5.956	0.03744	-39.96
Global Warming Potential - total (GWP-total)	kg CO2 eqv.	92.95	2.338	0.9257	1.711	5.957	0.03747	-40.36
Global Warming Potential - land use and land use change (GWP-luluc)	kg CO2 eqv.	0.1422	0.0008316	0.000004141	0.0006085	0.0002326	0.000009181	-0.01983
Global warming potential except emissions and uptake of biogenic carbon (GWP-IOBC/GHG)	kg CO2 eqv.	94.96	2.338	0.01615	1.711	5.956	0.03787	-40.32
Eutrophication potential - freshwater (EP-freshwater)	kg P eqv.	0.00534	0.00001867	1.935E-7	0.00001366	0.000008157	3.876E-7	-0.0007232
Eutrophication potential - marine (EP-marine)	kg N eqv.	0.08671	0.001329	0.00005571	0.0009721	0.0004261	0.00007809	-0.06651
Eutrophication potential - terrestrial (EP-terrestrial)	mol N eqv.	1.116	0.01486	0.0005967	0.01087	0.004718	0.0008407	-0.8155
Photochemical Ozone Creation Potential (POCP)	kg NMVOC eqv.	0.2677	0.005693	0.0001534	0.004165	0.0012	0.0002415	-0.1987
Depletion potential of the stratospheric ozone layer (ODP)	kg CFC 11 eqv.	0.00001543	5.292E-7	2.579E-9	3.872E-7	1.638E-8	9.047E-9	-0.01925
Water (user) deprivation potential (WDP)	m3 world eqv.	3069	34.17	0.2921	25	10.14	2.124	-414.6

Additional environmental impact indicators

Indicator	Unit	Production A1-A3	Transport A4	Installation A5	De-construction C1	Transport C2	Waste processing C3	Disposal C4	Recycling Potential D
¹This impact category deals mainly with the eventual impact of low dose ionizing radiation on human health of the nuclear fuel cycle. It does not consider effects due to possible nuclear accidents, occupational exposure nor due to radioactive waste disposal in underground facilities. Potential ionizing radiation from the soil, from radon and from some construction materials is also not measured by this indicator.
²The results of this environmental impact indicator shall be used with care as the uncertainties on these results are high or as there is limited experiences with the indicator.
Potential Human exposure efficiency relative to U235 (IRP)¹	kBq U235 eqv.	5.326	0.1544	0.0006878	0	0.113	0.009072	0.002801	-1.046
Potential incidence of disease due to PM emissions (PM)²	disease incidence	0.0002699	1.43E-7	1.587E-9	0	1.047E-7	1.214E-8	3.778E-9	-0.00000429
Potential Soil quality index (SQP)²	unitless	633.1	24.71	0.1064	0	18.08	0.3978	1.536	-227.1
Potential Comparative Toxic Unit for humans - non-cancer effects (HTP-nc)²	CTUh	6.298E-7	2.861E-8	1.153E-9	0	2.093E-8	5.588E-9	6.32E-10	-3.075E-7
Potential Comparative Toxic Unit for humans - cancer effects (HTP-c)²	CTUh	2.293E-8	0	2.4E-11	0	0	1.36E-10	2.1E-11	-9.387E-9
Potential Comparative Toxic Unit for ecosystems (ETP-fw)²	CTUe	939.9	26.19	0.216	0	19.16	12.88	0.5142	-866.6