芬兰迈向低碳塑料废物回收:评估改善措施对温室气体排放的影响

Jáchym Judl, Susanna Horn, Tiina K. M. Karppinen
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引用次数: 0

摘要

塑料在产品和包装中的使用越来越多。与此同时,包装的使用寿命很短,因此塑料废物量在芬兰和全球都在增长。虽然芬兰存在塑料包装废弃物的单独收集和回收,但需要加强,以达到欧盟的目标。单独收集的塑料垃圾是机械回收的,但回收能力很小,因为该过程的二次聚合物产量也很小。因此,很大一部分塑料包装废弃物仍被回收用于能源。在我们的研究中,我们首先应用物料流分析(MFA)来确定芬兰塑料包装废弃物的不同路线,然后我们应用生命周期评估(LCA)来量化当前系统的温室气体(GHG)排放以及基于改进措施的替代方案。所研究系统的国内温室气体排放量估计为178千吨二氧化碳e。包括出口和避免生产的信用额在内的温室气体净排放量估计为155千吨二氧化碳e。情景评估的结果表明,与单独的措施相比,结合更多的措施可以提供更大的潜力来减少系统的气候影响。结果由敏感性分析补充,有助于解释结果,理解建模挑战,并支持稳健的决策。该研究在两个方面为学术文献做出了贡献;它提出了一种强大而灵活的方法,将基于场景的、面向未来的建模技术集成到决策中,并评估了改进塑料回收系统的各种可能性,以确定量化改进的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Low-Carbon Plastic Waste Recycling in Finland: Evaluating the Impacts of Improvement Measures on GHG Emissions
Abstract The use of plastics in products and packaging is growing. At the same time, the lifespan of packaging is short and consequently plastic waste volumes are growing in Finland and globally. Although separate collection and recycling of plastic packaging waste exists in Finland, it needs to be strengthened to reach the European Union’s targets. The separately collected plastic waste is mechanically recycled, but the recycling capacity is small, as is the process’s yield of secondary polymers. Hence, a large share of plastic packaging waste remains being recovered for energy. In our study, we first apply material flow analysis (MFA) to identify different routes of plastic packaging waste in Finland, and then we apply life cycle assessment (LCA) to quantify greenhouse gas (GHG) emissions of the current system and of alternative scenarios based on improvement measures. Domestic GHG emissions of the studied system were estimated to be 178 kt CO 2 e. Net GHG emissions including exports and credits from avoided production were estimated to be 155 kt CO 2 e. The results of the scenario assessment indicate that combining more measures offer significantly greater potential to reduce the system’s climate impacts, compared to individual measures. The results are complemented by a sensitivity analysis, helping with the interpretation of the results, understanding modelling challenges, and supporting robust decision-making. The study contributes to academic literature in two ways; it presents a robust, yet flexible way to integrate scenario-based, future-oriented modelling techniques into decision-making, and it assesses the various possibilities to improve the plastic recycling system to identify the quantitative improvement potential.
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