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LCA of an industrial luminaire using product environmental footprint method

机译:使用产品环境足迹方法的工业灯具的LCA

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This paper presents a life cycle assessment (LCA) for the industrial Light Emitting Diode (LED) luminaire by using Product Environmental Footprint (PEF) methodology. The assessment is carried out for raw material, assembly, distribution, use and end of life (EoL) stages, and all upstream emissions are considered. The analysis results show that the electricity consumption in use stage is the significant contributor for the overall impacts. Environmental benefits are identified from the EoL scenario analysis due to the adopted WEEE treatments. Electricity mix for the UK and other European countries are modelled for the comparison study that shows the use of renewable resources for electricity generation has lower overall impacts from the PEF view, but the impact towards land use that is caused by using biomass energy source for electricity production is noticeable, which is barely mentioned in the existing LCA studies. This research has made the following original contributions: 1) it is the first study examining the LED luminaire environmental performance by using the PEF methodology; 2) the electricity mix modelling for the European countries in the comparison study reveals the possible trade-off between using renewable/non-renewable resources for the electricity generation, which would be beneficial for further policy development for lighting and energy sectors; 3) the availability demonstration of the current PEF database for luminaires, and the reported analysis results would assist future similar LCA studies. (C) 2021 The Authors. Published by Elsevier Ltd.
机译:本文通过使用产品环境足迹(PEF)方法为工业发光二极管(LED)灯具提供了生命周期评估(LCA)。评估是针对原材料,装配,分布,使用和寿命阶段(EOL)阶段的终点进行,并考虑所有上游排放。分析结果表明,使用阶段的电力消耗是整体影响的重要因素。由于采用的WEEE治疗,从EOL情景分析中确定了环境效益。英国和其他欧洲国家的电力组合被建模用于比较研究,表明使用可再生资源对发电的使用具有较低的PEF视图的整体影响,但对土地利用的影响是由使用生物量电力引起的土地利用生产是明显的,在现有的LCA研究中几乎没有提及。该研究提出了以下原始贡献:1)首次通过使用PEF方法检查LED灯具环境性能的研究; 2)对比较研究的欧洲国家的电力混合建模揭示了使用可再生/不可再生资源的发电之间可能的权衡,这对照明和能源部门的进一步政策开发有利; 3)灯具目前PEF数据库的可用性演示以及报告的分析结果可以帮助未来类似的LCA研究。 (c)2021作者。 elsevier有限公司出版

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