The limitations of the static nature of Life Cycle Assessment (LCA) are well known. To overcome the loss of temporal information due to the aggregation of flows in the Life Cycle Inventory (LCI), several dynamic LCA methodologies have been proposed. In this paper we present a new generic and operational methodology for dynamic LCA that allows for the introduction of temporal information in both in the inventory and the Life Cycle Impact Assessment (LCIA) phases. The method makes use of graph traversal and convolution to calculate the temporally differentiated inventory, and makes it possible to use several types of dynamic impact assessment. We describe our method and apply it to a cradle-to-grave dynamic LCA of a glued laminated timber (glulam) product. We also test the sensitivity of the global warming results to temporal explicit LCI data. There is a considerable difference in outcome between the static and dynamic approaches. We have implemented our framework in the free and open source software Temporalis that is fully operational and can be used with existing LCA databases.

生命周期评估（LCA）静态性质的局限性是众所周知的。为了克服由于生命周期清单（LCI）中的流量汇总而造成的时间信息丢失，已经提出了几种动态LCA方法。在本文中，我们提出了一种动态LCA的新通用和可操作方法，该方法允许在清单和生命周期影响评估中引入时间信息。（LCIA）阶段。该方法利用图遍历和卷积来计算时间差异库存，并可以使用几种类型的动态影响评估。我们描述了我们的方法，并将其应用于胶合层压木材（胶合木）产品的从摇篮到坟墓的动态LCA。我们还测试了全球变暖结果对时间显式LCI数据的敏感性。静态方法和动态方法之间的结果存在很大差异。我们已经在完全开放的免费开源软件Temporalis中实现了我们的框架，并且可以与现有LCA数据库一起使用。