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Life cycle assessment of microalgae-based aviation fuel: Influence of lipid content with specific productivity and nitrogen nutrient effects
- Source :
- Bioresource Technology. 221:350-357
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- The aim of this work is to compare the life cycle assessments of low-N and normal culture conditions for a balance between the lipid content and specific productivity. In order to achieve the potential contribution of lipid content to the life cycle assessment, this study established relationships between lipid content (nitrogen effect) and specific productivity based on three microalgae strains including Chlorella , Isochrysis and Nannochloropsis . For microalgae-based aviation fuel, the effects of the lipid content on fossil fuel consumption and greenhouse gas (GHG) emissions are similar. The fossil fuel consumption (0.32–0.68 MJ·MJ −1 MBAF) and GHG emissions (17.23–51.04 g CO 2 e·MJ −1 MBAF) increase (59.70–192.22%) with the increased lipid content. The total energy input decreases (2.13–3.08 MJ·MJ −1 MBAF, 14.91–27.95%) with the increased lipid content. The LCA indicators increased (0–47.10%) with the decreased nitrogen recovery efficiency (75–50%).
- Subjects :
- Fossil Fuels
Environmental Engineering
020209 energy
Bioengineering
02 engineering and technology
010501 environmental sciences
engineering.material
01 natural sciences
Nutrient
Microalgae
0202 electrical engineering, electronic engineering, information engineering
Aviation fuel
Food science
Isochrysis
Waste Management and Disposal
Life-cycle assessment
0105 earth and related environmental sciences
biology
Waste management
Renewable Energy, Sustainability and the Environment
General Medicine
biology.organism_classification
Lipids
Chlorella
Productivity (ecology)
Biofuels
Greenhouse gas
engineering
Aviation
Nannochloropsis
Subjects
Details
- ISSN :
- 09608524
- Volume :
- 221
- Database :
- OpenAIRE
- Journal :
- Bioresource Technology
- Accession number :
- edsair.doi.dedup.....02fe2b6f0673611f74023477f2b297e4
- Full Text :
- https://doi.org/10.1016/j.biortech.2016.09.044