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Comparative life cycle assessment study on environmental impact of oil production from micro-algae and terrestrial oilseed crops

pmid: 28531851
handle: 11588/740067 , 11365/1007165 , 11586/364199
In this study the LCA methodology is applied in order to satisfy two goals: i) to evaluate the hot spots in site-specific production chain of biodiesel from terrestrial and micro-algae feedstock; ii) to compare quantitatively, utilizing primary data, the impacts of the first generation in respect to the third generation bio-fuels. Results show that micro-algae are neither competitive yet with traditional oil crops nor with fossil fuel. The use of renewable technologies as photovoltaics and biogas self production might increase the competitiveness of micro-algae oil. Further investigations are however necessary to optimize their production chain and to increase the added value of co-products.
- Department of Biotechnology India
- University of Siegen Germany
- University of Siena Italy
- University of Siena Italy
- University Federico II of Naples Italy
Crops, Agricultural, Agricultural, Fossil Fuels, Technology, Life-cycle assessment, Crops, Environment, Micro-algae, Biofuel, Sustainability, Biofuels, Fossil Fuel, Oil crop
Crops, Agricultural, Agricultural, Fossil Fuels, Technology, Life-cycle assessment, Crops, Environment, Micro-algae, Biofuel, Sustainability, Biofuels, Fossil Fuel, Oil crop
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).47 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
