EDF R&D, Les Renardières 77818 Moret sur Loing Cedex, France.
Environ Sci Technol. 2013 Feb 5;47(3):1231-8. doi: 10.1021/es303435e. Epub 2013 Jan 18.
This study presents a generic methodology to produce simplified models able to provide a comprehensive life cycle impact assessment of energy pathways. The methodology relies on the application of global sensitivity analysis to identify key parameters explaining the impact variability of systems over their life cycle. Simplified models are built upon the identification of such key parameters. The methodology is applied to one energy pathway: onshore wind turbines of medium size considering a large sample of possible configurations representative of European conditions. Among several technological, geographical, and methodological parameters, we identified the turbine load factor and the wind turbine lifetime as the most influent parameters. Greenhouse Gas (GHG) performances have been plotted as a function of these key parameters identified. Using these curves, GHG performances of a specific wind turbine can be estimated, thus avoiding the undertaking of an extensive Life Cycle Assessment (LCA). This methodology should be useful for decisions makers, providing them a robust but simple support tool for assessing the environmental performance of energy systems.
本研究提出了一种通用方法，用于生成简化模型，以提供能源路径的全面生命周期影响评估。该方法依赖于全局敏感性分析的应用，以确定关键参数，这些参数解释了系统在其生命周期内的影响变化。简化模型是基于这些关键参数的识别而建立的。该方法应用于一种能源路径：考虑到代表欧洲条件的大量可能配置的中型陆上风力涡轮机。在若干技术、地理和方法参数中，我们确定涡轮机负荷系数和风力涡轮机寿命是最有影响的参数。温室气体（GHG）性能已作为所确定的关键参数的函数绘制。使用这些曲线，可以估算特定风力涡轮机的 GHG 性能，从而避免进行广泛的生命周期评估（LCA）。该方法对于决策者应该是有用的，为他们提供了一个稳健但简单的支持工具，用于评估能源系统的环境性能。
