光伏系统生命周期比较评估:长期环境影响评估

Heidi Hottenroth , Tobias Viere
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引用次数: 0

摘要

光伏(PV)系统的生产受制于持续的技术发展和生产地域的转移,从而导致经济方面和环境影响方面的变化。这项工作的重点是利用生命周期评估(LCA)评估环境影响随时间的变化。对多晶硅(multi-Si)、单晶硅(single-Si)、碲化镉(CdTe)和铜铟镓硒(CIS)的现有生命周期评估研究和生命周期清单数据集进行了比较,并分析了出现偏差的原因。研究发现,光伏制造技术的进步减少了对环境的影响。随着时间的推移,电池类型之间的差异逐渐缩小,碲化镉电池在生产过程中对环境的影响最小。然而,在 "从摇篮到坟墓 "的评估中,如果考虑到碲化镉电池的寿命较短,这种影响可能会相对减小。单晶硅在生产过程中对环境的影响较大,但与多晶硅相比,几乎可以弥补。如果必须在不了解电池类型的情况下选择光伏数据集,建议将多晶硅电池厂作为替代。该分析有助于深入了解不同光伏系统对环境的长期影响,并强调了定期更新生命周期清单和一致建模的重要性。
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Comparative life cycle assessment of photovoltaic systems: An evaluation of environmental impacts over time

The production of photovoltaic (PV) systems is subject to continuous technological development and geographical shifts in manufacturing, leading to changes in economic aspects and environmental impacts. This work focuses on evaluating changes in environmental impacts over time using life cycle assessment (LCA). Several existing LCA studies and life-cycle inventory datasets for multi-crystalline silicon (multi-Si), single-crystalline silicon (single-Si), cadmium telluride (CdTe), and copper indium gallium selenide (CIS) were compared, and the reasons for deviations were analyzed.

The comparison was carried out at the plant level for panel slanted roof systems, and the impact assessment results were compared to their counterparts from the ecoinvent v3.3 life cycle inventory cut-off database for individual datasets.

The study found that technological advances in PV manufacturing have reduced environmental impacts. The differences between cell types converged over time, with CdTe having the lowest environmental impact during production. However, this may be relativized when considering the lower life time of CdTe cells in a cradle-to-grave assessment. Single-Si has a higher environmental impact during manufacturing, but it is just about compensated for compared to multi-Si. If a dataset for PV must be selected without cell-type knowledge, multi-Si plants are recommended as a proxy. The analysis provides insights into the environmental impacts of different PV systems over time and highlights the importance of regular updates of life-cycle inventories and consistent modeling.

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