Process Data set: Painted Aluminium Coil (0.46-3003) (en)

Process Data set: Painted Aluminium Coil (0.46-3003) (en) en

Process information

Key Data Set Information
Location	CN
Geographical representativeness description	China, Japan, Canada, US, Singapore
Reference year	2025
Name	Painted Aluminium Coil (0.46-3003)
Use advice for data set	A1, A2, A3, C1, C2, C3, C4, D
Technical purpose of product or process	The Painted Aluminium Coil for Construction is a high - performance material designed for building applications, offering durability, weather - resistance, excellent formation capabilities. Products can be used in industries such as construction, household appliances, and transportation. The technical standards and performance index requirements can be referred to YS/T 431—2009 Aluminium and aluminium alloys—Coil coated sheet and strip. The identification name is determined by the thickness of aluminium coils (cm) and the alloy grade utilized in the product manufacturing process.
General comment on data set	1kg product Geographical representativeness and technical representativeness mostly are good, and time representativeness is very good. the physical relationship (yield) is adopted to allocate electricity, photovoltaic power, water, natural gas and diesel. "All inputs and outputs to a (unit) process shall be included in the calculation, for which data are available. Data gaps may be filled by conservative assumptions with average or generic data. Any assumptions for such choices shall be documented; — In case of insufficient input data or data gaps for a unit process, the cut-off criteria shall be 1 % of renewable and non-renewable primary energy usage and 1 % of the total mass input of that unit process. The total of neglected input flows per module, e.g. per module A1-A3, A4-A5, B1-B5, B6-B7, C1-C4 and module D shall be a maximum of 5 % of energy usage and mass. Conservative assumptions in combination with plausibility considerations and expert judgement can be used to demonstrate compliance with these criteria; — Particular care should be taken to include material and energy flows known to have the potential to cause significant emissions into air and water or soil related to the environmental indicators of this standard. Conservative assumptions in combination with plausibility considerations and expert judgement can be used to demonstrate compliance with these criteria.According to the above cut-off principle, this study ignored the environment impact of infrastructure such as roads and factories, production equipment, personnel and living facilities in the plant."
Copyright	Yes
Owner of data set	Jiangsu Lidao New Material Co., LTD.
Quantitative reference
Reference flow(s)	Painted Aluminium Coil (0.46-3003) - 1.0 * 1.0 kg (Mass)
Biogenic carbon content	Carbon content (biogenic): 0.0 kg Carbon content (biogenic) - packaging: 2.7549929472 kg
Time representativeness
Data set valid until	2030
Time representativeness description	"2025-10-16" - "2030-10-16"
Publication date	2025-10-16
Technological representativeness
Technology description including background system	Painted Aluminium Coil (3.0-5052) Painted Aluminium Coil (1.5-3003) Painted Aluminium Coil (1.2-3004) Painted Aluminium Coil (0.98-3003) Painted Aluminium Coil (0.9-3004) Painted Aluminium Coil (0.7-5005) Painted Aluminium Coil (0.6-5052) Painted Aluminium Coil (0.46-3003) Painted Aluminium Coil (0.38-3003) Painted Aluminium Coil (1.0-3003)

Modelling and validation

Type of data set

EPD

Subtype

specific dataset

LCA methodology report

PCR for Construction products: ICMQ-001/15 rev 3.1

Data sources, treatment and representativeness

Documentation of data quality management

PCR for Construction products: ICMQ-001/15 rev 3.1

Data source(s) used for this data set

ecoinvent database (all versions)

Original EPDs

EPD-Report-251009.pdf

Completeness

Validation

Type of review
Independent external review

Reviewer name and institution
ICMQ spa

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)	2026-01-28T10:52:41
Data set format(s)	ILCD format EPD Data Format Extensions v1.2
Publication and ownership
UUID	691f1727-f901-4c6f-85af-ab4cd1f7be02
Date of last revision	2026-01-28T09:46:38.9472657Z
Data set version	00.03.000
Registration authority	EPDItaly
Registration number	EPDITALY1049
Owner of data set	Jiangsu Lidao New Material Co., LTD.
Copyright	Yes
License type	Free of charge for all users and uses
Access and use restrictions	None
Publisher	EPDItaly

Environmental indicators

Indicators of life cycle

Indicator	Direction	Unit	Raw material supply A1	Transport A2	Manufacturing A3	De-construction C1	Transport C2	Waste processing C3	Disposal C4	Recycling Potential D
Use of renewable primary energy (PERE)	Input	MJ	17.15	0.006493	0.3237	1.603	0.001793	0.1223	0.002369	-38.64
Use of renewable primary energy resources used as raw materials (PERM)	Input	MJ	82.11	0	0	0	0	0	0	0
Total use of renewable primary energy resource (PERT)	Input	MJ	99.26	0.006493	0.3237	1.603	0.001793	0.1223	0.002369	-38.64
Use of non renewable primary energy (PENRE)	Input	MJ	0.6487	0.00002932	0.02774	15.4	0.00000688	0.8311	0.1056	-45.5
Use of non renewable primary energy resources used as raw materials (PENRM)	Input	MJ	1.34	0	0	0	0	0	0	0
Total use of non renewable primary energy resource (PENRT)	Input	MJ	1.989	0.00002932	0.02774	15.4	0.00000688	0.8311	0.1056	-45.5
Use of secondary material (SM)	Input	kg	0.00003308	0	0.00000372	0.002098	0	0.0008183	0.00003881	-0.0142
Use of renewable secondary fuels (RSF)	Input	MJ	0.0000125	0	2.426E-8	0.000005613	0	0.00002446	6.598E-7	-0.0001293
Use of non renewable secondary fuels (NRSF)	Input	MJ	0	0	0	0	0	0	0	0
Use of net fresh water (FW)	Input	m3	0.05314	0.00002927	0.0006301	0.005367	0.000008089	0.0005018	-0.001249	-0.1989
Hazardous waste disposed (HWD)	Output	kg	2.332	0.0005632	0.01208	0.01118	0.0001616	0.01168	0.000524	-1.91
Non hazardous waste dispose (NHWD)	Output	kg	4.904	0.004213	0.5744	3.574	0.001285	0.3286	0.9468	-4.023
Radioactive waste disposed (RWD)	Output	kg	7.263E-8	0	6.698E-8	0.000002088	0	9.018E-7	3.828E-8	-0.00001494
Components for re-use (CRU)	Output	kg	0	0	0	0	0	0	0	0
Materials for recycling (MFR)	Output	kg	0.000002656	0	0.000002774	0.001208	0	0.5716	0.000002102	-0.01446
Materials for energy recovery (MER)	Output	kg	9.973E-9	0	9.53E-10	1.815E-7	0	3.816E-7	7.568E-9	-0.000001725
Exported electrical energy (EEE)	Output	MJ	0.00003085	0	5.866E-7	0.0002441	0	0.01938	0.0003039	-0.004525
Exported thermal energy (EET)	Output	MJ	0.00002973	0	0.000001504	0.0005445	0	0.007204	0.00002814	-0.003333

Core environmental impact indicators

Indicator	Unit	Raw material supply A1	Transport A2	Manufacturing A3	De-construction C1	Transport C2	Waste processing C3	Disposal C4	Recycling Potential D
Abiotic depletion potential - fossil resources (ADPF)	MJ	0.3951	0	0.02769	15.4	0	0.8291	0.1056	-45.48
Abiotic depletion potential - non-fossil resources (ADPE)	kg Sb-eqv.	0.00004425	9.767E-8	4.886E-7	0.000001273	3.129E-8	0.000003529	1.207E-8	0.00005908
Acidification potential, Accumulated Exceedance (AP)	mol H+ eqv.	0.1024	0.00008337	0.001111	0.002296	0.00002197	0.0005617	0.00003439	-0.04176
Depletion potential of the stratospheric ozone layer (ODP)	kg CFC 11 eqv.	2.675E-8	1E-11	3.408E-7	6.582E-9	3E-12	5.92E-10	1.14E-10	-4.271E-8
Eutrophication potential - freshwater (EP-freshwater)	kg P eqv.	0.004522	0.000002647	0.00004084	0.0007328	7.576E-7	0.00003996	7.898E-7	-0.0006244
Eutrophication potential - marine (EP-marine)	kg N eqv.	0.01648	0.00002142	0.0002741	0.0005971	0.000005097	0.00007841	0.0000142	-0.004562
Eutrophication potential - terrestrial (EP-terrestrial)	mol N eqv.	0.1646	0.0002322	0.002769	0.004962	0.00005507	0.0008715	0.0001371	-0.04754
Global Warming Potential - biogenic (GWP-biogenic)	kg CO2 eqv.	0.02354	0.000006192	0.001578	0.000156	0.00000167	0.0009776	0.00001185	-0.0043
Global Warming Potential - fossil fuels (GWP-fossil)	kg CO2 eqv.	14.58	0.0319	0.3375	1.074	0.009583	0.1461	0.005528	-4.516
Global Warming Potential - land use and land use change (GWP-luluc)	kg CO2 eqv.	0.1407	0.00001335	0.0001148	0.0001874	0.000003904	0.00009647	0.000006078	-0.07328
Global Warming Potential - total (GWP-total)	kg CO2 eqv.	14.79	0.03208	0.3424	1.075	0.00964	0.1472	0.005558	-4.55
Global warming potential except emissions and uptake of biogenic carbon (GWP-IOBC/GHG)	kg CO2 eqv.	0	0	0	0	0	0	0	0
Photochemical Ozone Creation Potential (POCP)	kg NMVOC eqv.	0.05276	0.0001243	0.001053	0.002342	0.00003075	0.0002747	0.00004532	-0.01889
Water (user) deprivation potential (WDP)	m3 world eqv.	1.179	0.0007451	0.02446	0.2214	0.0002098	0.02005	-0.05368	-8.201

Additional environmental impact indicators

Indicator	Unit	Raw material supply A1	Transport A2	Manufacturing A3	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 Comparative Toxic Unit for ecosystems (ETP-fw)²	CTUe	79.87	0.1156	1.179	1.588	0.03615	0.5743	42.65	-2.413
Potential Comparative Toxic Unit for humans - cancer effects (HTP-c)²	CTUh	3.399E-8	1.63E-10	5.48E-10	1.09E-10	5E-11	4.9E-11	3E-12	-2.77E-8
Potential Comparative Toxic Unit for humans - non-cancer effects (HTP-nc)²	CTUh	1.264E-7	3.01E-10	1.563E-9	5.474E-9	8.4E-11	3.179E-9	5.83E-10	9.413E-9
Potential Human exposure efficiency relative to U235 (IRP)¹	kBq U235 eqv.	0.3191	0.0004341	0.01926	0.008338	0.0001118	0.003697	0.0001566	-0.0372
Potential incidence of disease due to PM emissions (PM)²	disease incidence	0.000001108	2.342E-9	1.326E-8	6.038E-9	5.7E-10	1.028E-8	7.08E-10	-7.193E-7
Potential Soil quality index (SQP)²	unitless	37.78	0.4484	0.4317	1.152	0.08145	0.8828	0.2027	30.55