93021685-3fd3-4a40-8e15-d5dd4478853e 1 m LED strip on plastic reel This EPD has been jointly prepared by GIS Norge AS and Pro Magasinet AS. Both companies share responsibility for the EPD and the associated product data. The declaration covers products distributed under the brands EXTREME and PROF. Pro Magasinet AS acts as the importer, while GIS Norge AS  is the distributor in Norway. The product operates with a constant voltage input of 230 VAC / 50 Hz. It offers four colour temperature options: 3000 K, 4000 K, 5000 K, and 6000 K. The colour consistency is ensured with an SDCM of ≤ 6. Designed for durability, it features an IP65 waterproof rating and a screw connection, along with an anti-UV PVC casing for added protection. It provides a wide 120° beam angle and consumes 8.5 watts per meter, delivering a luminous efficacy of 105 lumens per watt. The colour rendering index (CRI) is ≥ 82, ensuring accurate and vibrant light quality.   The storage temperature range is from -20°C to +60°C, and the operating temperature range is from -10°C to +40°C. It is available in reel lengths of 5 m, 10 m, 15 m, 25 m, or 50 m, and can be fixed using nylon cable ties or mounting clips. The constituent materials of 1m LED strip are  given in the table below.  ComponentsWeight  (kg) Percentage  (%)  LED 0.000560.37 Resistor 0.0001520.10 PCB 0.00724.70 Wire0.00724.70Main body0.13890.13Total0.153112100  The constituent materials of 1m LED strip packaging are given in the table below.  MaterialsWeight  (kg) Packaging Paper 0.016Sealed Bag0.000004Reel0.03Total0.046004According to the manufacture, the product complies with the following standards: EN 60598-1, EN 60598-2-21, EN 55015:2019, EN 61000-3-2, EN 61000-3-3, EN 61547, EN 2019/2020, and 2011/65/EU. Electrical characteristics are given in table below. AC 220-240 V; 50/60Hz; class II, IP 65; ta: 45 °C Voltage  ( V AC) WATTS (W/m) lumen (LM/m) CCT (K) CRI (Ra) IP230V8.5100060008265  Both primary and secondary data have been used. All primary data were collected by the product manufacturer for the reference year 2024, covering the period from January to December. The main source of primary data is the bill of materials, supplemented by factory-specific data provided by the manufacture.  For the data, which was needed for modelling but was not provided by the manufacturer  and could not be influenced by them, generic data was used. Secondary data were sourced  from the regularly updated Ecoinvent database (version 3.9.1), aligning with EN 15804  standards to ensure background data not exceeding 10 years. ReTHINK EPD web application was used to model the life cycle for the production and  disposal of the declared product systems. To ensure that the results are comparable,  consistent background data from the international database Ecoinvent was used in the  LCA (e.g. data records on energy, transport, auxiliary materials, and suppliers). Almost all  consistent data sets contained in the Ecoinvent database are documented and can be  viewed online. The scenarios included are currently in use and are representative for one of the most  likely scenario alternatives. According to the criteria of the “UN Environmental Global  Guidance on LCA database development” mentioned in EN 15804+A2, the data quality for  all three representativeness categories (geographical, technical and time) can be  described as medium. For some components such as the LED, PCB, and packaging paper, multiple suppliers are involved. In this calculation, the average transport distance from these suppliers has been used to represent a realistic and balanced estimate for transport-related impacts. According to the manufacturer, the production waste for the LED strip is approximately 2% of the total material input. A payload factor of 50 percent was used for all truck transports, which in fact corresponds to a full delivery and empty return trip. A data set for a non-specific truck was used. Module A4 (Transport) is calculated based on the assumption that the product from Sparta Optoelectronics (China) is transported over a total distance of 25,844 km by sea and 242 km by truck to the GIS warehouse in Sellebakk, Norway. The transportation is assumed to involve a combination of road and sea freight, using the following datasets: Transport, freight, lorry, unspecified {RER} | market for transport, freight, lorry, unspecified | Cut-off, U242 kmTransport, freight, sea, container ship {GLO} | market for transport, freight, sea, container ship | Cut-off, U25,844 kmFor the purposes of this LCA and EPD, A4 covers transport from the factory in China to the warehouse in Norway. Further transport to customers is not included, as it depends on individual delivery locations and transport modes. Modules B1–B5 and B7 are considered not relevant for this product, as the LED stripe is a sealed, non-serviceable component with no direct emissions, maintenance, repair, or water use during its use phase. Operational energy use (B6) is the only relevant use-stage module and is declared based on typical energy consumption for 20000 hours use. Module B6 – Operational energy use The operational energy use of the LED strip is calculated according to the methodology provided in IBU PCR Part B for luminaires, lamps, and components for luminaires. The energy consumption model follows the application scenarios developed in EN 15193:2007. To calculate the electricity use of the LED strip, the following scenario parameters have been applied: Active power of the LED strip (Pa)8.5 W/mPassive power of the LED strip (Pp)0 WDaylight time usage (tD)2 250 hStandard year time (ty)8 760 hOccupancy dependency factor (FO)1Daylight dependency factor (FD)0.9Non-daylight time usage (tN)250 hConstant illuminance factor (FCP)1Non-daylight dimming factor (FN)1Declared lifetime20000 hThe A5 (Installation) is declared to account for the environmental impacts  associated with the end-of-life of packaging. In Module C1, no electricity is consumed during the demolition process, as the removal of the LED stripe is performed entirely manually. Copper and steel in the product are assumed to contain a fraction of secondary material, based on generic ecoinvent datasets.   0 2024 2030 All primary data were collected by manufacture of product for the reference year of 2024 covering the period from January to December 2024. 2025-09-12 The results of this EPD are representative for Scandinavian market. Installation is declared only to account for the environmental impacts associated with the end-of-life of packaging.  This product is well-suited for use on construction sites. It can be used for elevator shaft maintenance lighting, providing reliable illumination in confined vertical spaces. It is also ideal for highlighting the contours of building exteriors and for various decorative applications. Additionally, it can be used in public facilities and for road warning lighting, enhancing visibility and safety in public areas. Flow chart 1 m LED strip on plastic reel EPD Kiwa-Ecobility Experts (Kiwa-EE) – General Program Instructions "Product Level" (2025-06-03) specific dataset ecoinvent 3.6 database ecoinvent database (general) 1 m LED strip on plastic reel EPD The independent verification is in accordance with the ISO 14025:2011. Patrick Wortner PeoplePlanetProfit GmbH & Co. KG. EN 15804+A2 (EF 3.0) EN 15804+A2 (EF 3.0) ISO 14025 GIS Norge AS and PRO MAGASINET AS 2026-03-20T09:33:40.719+01:00 ILCD format 1.1 EPD Data Format Extensions v1.2 Kiwa-Ecobility Experts, Kiwa GmbH (Berlin) 01.00.008 Kiwa-Ecobility Experts, Kiwa GmbH (Berlin) EPD-Kiwa-EE-216609-EN GIS Norge AS and PRO MAGASINET AS true Free of charge for all users and uses None. Kiwa-Ecobility Experts, Kiwa GmbH (Berlin) 1 m LED strip on plastic reel - flow General reminder flow Output 1.0 kg Use of renewable primary energy (PERE) Erneuerbare Primärenergie als Energieträger (PERE) Uso de energía primaria renovable excluyendo los recursos de energía primaria renovable utilizada como materia prima (PERE) General reminder flow Input 0.153112 1.8939391069596 1.7930759362017E-4 0.51841532050255 2.4125337350558 0.0059787348703549 0.080632570506624 155.90100387725 0.0 3.425941168657E-4 0.046099350046537 7.1872492264819E-5 -0.46652478583689 MJ Use of renewable primary energy resources used as raw materials (PERM) Erneuerbare Primärenergie zur stofflichen Nutzung (PERM) Uso de energía primaria renovable utilizada como materia prima (PERM) General reminder flow Input 0.153112 0.0 0.0 0.2214016 0.2214016 0.0 0.006642048 0.0 0.0 0.0 0.0 0.0 0.0 MJ Use of non renewable primary energy (PENRE) Nicht-erneuerbare Primärenergie als Energieträger (PENRE) Uso de energía primaria no renovable, excluyendo los recursos de energía primaria no renovable utilizada como materia prima (PENRE) General reminder flow Input 0.153112 17.701420338224 0.012702615070131 2.8301236788453 20.544246632139 0.7426951335036 0.73387634104526 25.277076970118 0.0 0.024270255954999 0.59066163398051 0.0037200164601052 -3.2117676347341 MJ Use of non renewable primary energy resources used as raw materials (PENRM) Nicht-erneuerbare Primärenergie zur stofflichen Nutzung (PENRM) Uso de la energía primaria no renovable utilizada como materia prima (PENRM) General reminder flow Input 0.153112 2.96838 0.0 1.01963908415 3.98801908415 0.0 0.120485475 0.0 0.0 0.0 0.0 0.0 -1.4787430495755 MJ Use of secondary material (SM) Einsatz von Sekundärstoffen (SM) Uso de materiales secundarios (SM) General reminder flow Input 0.153112 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) Erneuerbare Sekundärbrennstoffe (RSF) Uso de combustibles secundarios renovables (RSF) General reminder flow Input 0.153112 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) Einsatz von Süßwasserressourcen (FW) Uso neto de recursos de agua dulce (FW) General reminder flow Input 0.153112 0.0067354550849711 3.0655971892621E-6 5.5416173645413E-4 0.0072926824186145 7.6228133811118E-5 3.4604257966474E-4 1.1014574595081 0.0 5.8572843487373E-6 5.6007526948307E-4 3.8447675388806E-6 -0.003127720852796 m3 Hazardous waste disposed (HWD) Gefährlicher Abfall zur Deponie (HWD) Residuos peligrosos eliminados (HWD) General reminder flow Output 1.0 7.3054095235468E-5 8.087676653966E-8 5.3789204445434E-6 7.8513892446551E-5 3.8279246576804E-6 2.8658501533602E-6 4.97215208552E-5 0.0 1.5452722245719E-7 2.0110819475068E-6 1.8386325910598E-8 -1.0474122255368E-5 kg Non-hazardous waste disposed (NHWD) Entsorgter nicht gefährlicher Abfall (NHWD) Residuos no peligrosos eliminados (NHWD) General reminder flow Output 1.0 0.15211644586804 8.3821696692962E-4 0.024343794062742 0.17729845689771 0.0083821737076939 0.043384309311481 1.1001952566414 0.0 0.0016015395429119 0.049436779047743 0.01459228457622 -0.0331505431808 kg Radioactive waste disposed (RWD) Entsorgter radioaktiver Abfall (RWD) Residuos radiactivos eliminados (RWD) General reminder flow Output 1.0 3.1440809462125E-5 2.902635969458E-9 2.7389577636049E-6 3.4182669861699E-5 9.3578358181353E-8 1.1949994649724E-6 2.3363253582864E-4 0.0 5.5459224367572E-9 9.2211826798315E-7 1.2627206318544E-9 -5.885358920996E-6 kg Components for re-use (CRU) Komponenten für die Wiederverwendung (CRU) Componentes para su reutilización (CRU) General reminder flow Output 1.0 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) Stoffe zum Recycling (MFR) Materiales para el reciclaje (MFR) General reminder flow Output 1.0 0.0 0.0 0.002885316 0.002885316 0.0 0.01711398348 0.0 0.0 0.0 0.1040808 0.0 0.0 kg Materials for energy recovery (MER) Stoffe für die Energierückgewinnung (MER) Materiales para valorización energética (recuperación de energía) (MER) General reminder flow Output 1.0 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) Energía exportada electrica (EEE) General reminder flow Output 1.0 0.0 0.0 0.0022022127 0.0022022127 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.275592610557 MJ Exported thermal energy (EET) Exportierte thermische Energie (EET) Energía exportada termal (EET) General reminder flow Output 1.0 0.0 0.0 0.00379269965 0.00379269965 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4746317181815 MJ Abiotic depletion potential for fossil resources (ADPF) Abiotisches Abbaupotenzial fossiler Ressourcen (ADPF) Uitputting van fossiele energiedragers (ADPF) 0.0 20.669851009938 0.01268326109094 3.8496607812797 24.532195052309 0.7425100153584 0.85433428689303 25.286447172051 0.0 0.024233277267846 0.5906549704364 0.0037197293688279 -4.6907983547502 MJ Global Warming Potential - total (GWP-total) Globales Erwärmungspotenzial - total (GWP-total) 0.0 1.3554961124308 8.889480596662E-4 0.18886315154917 1.5452482120396 0.0594817534314 0.15098638618782 1.3254954707174 0.0 0.0016984689231061 0.1068066184496 0.0010639941050097 -0.21601269550998 kg CO2-eq. Global Warming Potential - fossil fuels (GWP-fossil) Globales Erwärmungspotenzial - fossil (GWP-fossil) 0.0 1.3493799002221 8.8550298991616E-4 0.21413898284146 1.5644043860535 0.059403247966081 0.12449739759485 1.2958481956431 0.0 0.0016918865993757 0.10667348291148 0.0010628635116585 -0.21538707052169 kg CO2-eq. Global Warming Potential - biogenic (GWP-biogenic) Globales Erwärmungspotenzial - biogen (GWP-biogenic) 0.0 0.0039074430848639 2.8847927982508E-7 -0.025461145727279 -0.021553414163135 1.2679567299297E-5 0.026402991157529 0.020924321346504 0.0 5.5118303754096E-7 7.6830198840435E-5 1.0033893034505E-6 -4.6311698635822E-4 kg CO2-eq. Global Warming Potential - land use and land use change (GWP-luluc) Globales Erwärmungspotenzial - luluc (GWP-luluc) 0.0 0.0022087713560733 3.156590470203E-6 1.8531448298021E-4 0.0023972424295237 6.5825975475498E-5 8.5997506895036E-5 0.0087229537277466 0.0 6.0311406929961E-6 5.6305365451809E-5 1.2720202360729E-7 -1.62508037094E-4 kg CO2-eq. Depletion potential of the stratospheric ozone layer (ODP) Abbaupotenzial der stratosphärischen Ozonschicht (ODP) 0.0 1.7211529471584E-7 1.5756695212E-11 3.1804077287043E-9 1.7531145913976E-7 9.1774220407949E-10 7.5846812841035E-9 3.823757816E-8 0.0 3.010553525308E-11 9.8460344494192E-9 4.0336049932E-12 -7.447410149411E-8 kg CFC-11-eq. Acidification potential, Accumulated Exceedance (AP) Versauerungspotenzial, kumulierte Überschreitung (AP) 0.0 0.012539031941901 4.2398448609537E-6 0.0011436417671529 0.013686913553915 0.0015914346299981 5.0890650951884E-4 0.013918656296509 0.0 8.1008610759839E-6 2.0449291021508E-4 1.2525236483391E-6 -0.0048420784019067 mol H+-eq. Eutrophication potential - freshwater (EP-freshwater) Eutrophierungspotenzial - Süßwasser (EP-freshwater) 0.0 1.277611014035E-4 8.80923678508E-9 8.3822506416055E-6 1.3615216128189E-4 2.7781257610414E-7 4.3771778046729E-6 8.875036103812E-5 0.0 1.6831371364217E-8 1.5784883507858E-6 2.584778166878E-9 -1.4106157590748E-5 kg P-eq. Eutrophication potential - marine (EP-marine) Eutrophierungspotenzial - Salzwasser (EP-marine) 0.0 0.0015404363593314 1.6113524375016E-6 2.4267015478505E-4 0.001784717866554 4.0168389488968E-4 7.9781758402809E-5 0.0013020667397327 0.0 3.0787311018998E-6 5.1901262626509E-5 8.2838026469268E-7 -2.3455942678987E-4 kg N-eq. Eutrophication potential - terrestrial (EP-terrestrial) Eutrophierungspotenzial - Land (EP-terrestrial) 0.0 0.0186619351473 1.7186490813374E-5 0.002686546482741 0.021365668120854 0.0044417988869037 9.2978233706117E-4 0.016877051060109 0.0 3.2837374722125E-5 5.671329119431E-4 4.9048032234394E-6 -0.0030757425212354 mol N-eq. Photochemical Ozone Creation Potential (POCP) Bildungspotenzial für troposphärisches Ozon (POCP) 0.0 0.0062958682450701 5.8671277735466E-6 8.2160246913353E-4 0.0071233378419772 0.0012096280871619 2.9806654771229E-4 0.0049844080445013 0.0 1.1210029745724E-5 1.9275288972113E-4 1.9059761614565E-6 -0.0011185778825601 kg NMVOC-eq. Abiotic depletion potential - non-fossil resources (ADPE) Potenzial für die Verknappung abiotischer Ressourcen – nicht fossile Ressourcen (ADPE) 0.0 1.9585955883245E-4 2.773344928032E-9 2.4403675693965E-5 2.2026600787134E-4 7.2888701433291E-8 6.7199232271267E-6 1.4582908892408E-4 0.0 5.2988924629469E-9 2.835699453425E-7 3.601272267644E-10 -5.2882718049862E-5 kg Sb-eq. Water (user) deprivation potential (WDP) Wasser-Entzugspotenzial (Benutzer) (WDP) 0.0 0.2275162996615 6.9262382549781E-5 0.018509797835271 0.24609535987932 0.0019982192595483 0.011709315349661 1.1227640106646 0.0 1.3233619559872E-4 0.020199848769243 1.5301990231193E-4 -0.2868805119552 m3 world eq. deprived Potential incidence of disease due to PM emissions (PM) Potenzielles Auftreten von Krankheiten aufgrund von Feinstaubemissionen (PM) 0.0 7.62093245108E-8 8.7435327498E-11 1.3529110971826E-8 8.9825870810124E-8 2.2346592594546E-9 3.3201901670366E-9 8.82971568E-8 0.0 1.6705833926082E-10 3.0048353755932E-9 2.62640081904E-11 -1.160362443886E-8 Disease incidence Potential Human exposure efficiency relative to U235 (IRP) Potenzielle Wirkung durch Exposition des Menschen mit U235 (IRP) 0.0 0.048741011818162 4.9485733424694E-6 0.0037929098752572 0.052538870266762 1.7323203902981E-4 0.0018172380260161 0.51017939664265 0.0 9.4549933986607E-6 0.0012886574241199 2.0864245185402E-6 -0.0076766323868753 kgBq U235-eq. Potential Comparative Toxic Unit for ecosystems (ETP-fw) Potenzielle Toxizitätsvergleichseinheit für Ökosysteme (ETP-fw) 0.0 19.80043188033 0.0093603807988813 1.1978366924787 21.007628953608 0.3916577671164 1.6061799574861 20.776991338514 0.0 0.017884414868186 4.1931885450731 0.055881894038245 -3.5226011105764 CTUe Potential Comparative Toxic Unit for humans - cancer effects (HTP-c) Potenzielle Toxizitätsvergleichseinheit für den Menschen - kanzerogene Wirkung (HTP-c) 0.0 1.737049353672E-9 4.6904692E-13 7.8361985292552E-11 1.8158803858846E-9 2.6375842798128E-11 7.3041535354235E-11 3.36895064E-9 0.0 8.961846628E-13 5.88205187752E-11 1.115248908E-13 -8.1262222205318E-10 CTUh Potential Comparative Toxic Unit for humans - non-cancer effects (HTP-nc) Potenzielle Toxizitätsvergleichseinheit für den Menschen - nicht kanzerogene Wirkung (HTP-nc) 0.0 9.684732973296E-8 1.0188573718E-11 2.5369806044048E-9 9.9394498911083E-8 2.6702554202618E-10 3.2381390018966E-9 1.5427030632E-7 0.0 1.946680196062E-11 8.600649415808E-10 3.3205601508E-12 -6.8669965310452E-8 CTUh Potential Soil quality index (SQP) Potenzieller Bodenqualitätsindex (SQP) 0.0 6.7741800339392 0.01000997674121 3.4789881755445 10.263178186225 0.12819546245916 0.35498964689019 11.983777051672 0.0 0.019125565584051 0.3294652284246 0.0084423059300133 -2.5722843273489 dimensionless