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A taste of the new ReCiPe for life cycle assessment: consequences of the updated impact assessment method on food product LCAs

机译:生命周期评估新配方的味道:更新的影响评估方法对食品LCA的后果

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Purpose Recently, an update of the Life Cycle Impact Assessment (LCIA) method ReCiPe was released: ReCiPe 2016. The aim of this study was to analyse the effect of using this update instead of the previous version: ReCiPe 2008. Do the absolute outcomes change significantly and if so, does this lead to different conclusions and result-based recommendations? Methods Life cycle assessments (LCAs) were conducted for 152 foods for which cradle-to-plate inventories were available and that together are estimated to account for 80% of the total greenhouse gas emissions, land use and fossil resource depletion of food consumption in the Netherlands. The LCIA was performed on midpoint and endpoint level, with both ReCiPe 2008 and 2016, and using the three perspectives provided by ReCiPe. Both the uses of the global-average characterisation factors (CFs) and the Dutch-specific CFs were explored. Results and discussion Results showed a strong correlation between LCAs performed with ReCiPe 2008 and with 2016 on midpoint and endpoint level, with Spearman's rank correlation between 0.85 and 0.99. Ranking of foods related to their overall environmental impact did not differ significantly between methods when using the default hierarchist perspective. Differences on endpoint level were largest when using the individualist perspective. The predicted average absolute impact of the foods studied did change significantly when using the new ReCiPe, regardless of which perspective was used: a larger impact was found for climate change, freshwater eutrophication and water consumption and a lower impact for acidification and land use. The use of Dutch CFs in ReCiPe 2016 leads to significant differences in LCA results compared with the use of the global-average CFs. When looking at the average Dutch diet, ReCiPe 2016 predicted a larger impact from greenhouse gas emissions and freshwater eutrophication, and a lower impact from acidification and land use than ReCiPe 2008. Conclusions The update of ReCiPe leads to other LCIA results but to comparable conclusions on hotspots and ranking of food product consumption in the Netherlands. Looking at the changes per product due to the update, we recommend updating endpoint-level LCAs conducted with ReCiPe 2008, especially for products that emit large amounts of PM2.5 or consume large amounts of water within their life cycle. As new and updated methods reflect the scientific state of art better and therefore include less model uncertainty, we recommend to always use the most recent and up-to-date methodology in new LCAs.
机译:最近,目的是释放了生命周期影响评估(LCIA)方法配方的更新:食谱2016。本研究的目的是分析使用此更新而不是先前版本的效果:食谱2008.绝对结果是否发生显着,如果是这样,这会导致不同的结论和基于结果的建议吗?方法采用生命周期评估(LCA)为152种食物进行,其中托架到板库存可获得,估计占温室气体排放量总量的80%,土地利用和化石资源消耗的食物消费量荷兰。 LCIA在中点和终点级别进行,配方2008和2016,并使用配方提供的三个观点。探讨了全局平均特征因素(CFS)和荷兰特定CFS的用途。结果和讨论结果表明,LCAS在2008年和2016年对中点和终点级别进行了强大的相关性,斯普尔曼的秩相关0.85和0.99。在使用默认分层师范透视的方法之间,与其整体环境影响有关的食物的排名在方法之间没有显着差异。使用个人主义观点时,端点级别的差异是最大的。无论使用哪个角度,所研究的食物的预测平均绝对影响确实显着变化,无论使用哪个角度,都会发现气候变化,淡水富营养化和耗水量和酸化和土地使用的较低影响。与使用全球平均CFS相比,在食谱2016中使用荷兰CFS导致LCA结果的显着差异。在观察平均荷兰饮食时,2016年的食谱预测了温室气体排放和淡水富营养化的较大影响,以及酸化和土地利用的影响比食谱较低。结论食谱的更新导致其他LCIA结果,但结论荷兰食品消费的热点和排名。由于更新,我们建议更新每个产品的变化,我们建议更新用配方2008进行的端点级LCA,尤其是发出大量PM2.5的产品或在其生命周期内消耗大量的水。随着新的和更新的方法反映了艺术的科学状态,因此包括较少的模型不确定性,我们建议始终在新LCAS中使用最新和最新的方法。

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