Literature DB >> 23259663

From LCAs to simplified models: a generic methodology applied to wind power electricity.

Pierryves Padey1, Robin Girard, Denis le Boulch, Isabelle Blanc.   

Abstract

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.

Mesh:

Year:  2013        PMID: 23259663     DOI: 10.1021/es303435e

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Global Sensitivity Analysis of Background Life Cycle Inventories.

Authors:  Aleksandra Kim; Christopher L Mutel; Andreas Froemelt; Stefanie Hellweg
Journal:  Environ Sci Technol       Date:  2022-04-12       Impact factor: 9.028

Review 2.  Bats and Wind Farms: The Role and Importance of the Baltic Sea Countries in the European Context of Power Transition and Biodiversity Conservation.

Authors:  Simon P Gaultier; Anna S Blomberg; Asko Ijäs; Ville Vasko; Eero J Vesterinen; Jon E Brommer; Thomas M Lilley
Journal:  Environ Sci Technol       Date:  2020-08-24       Impact factor: 9.028

  2 in total

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