2016
DOI: 10.1002/bbb.1713
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating microalgae‐to‐energy ‐systems: different approaches to life cycle assessment (LCA) studies

Abstract: Life cycle assessment (LCA) is a valuable tool for determining the environmental impacts associated with different products and has been widely used to assess biofuel production. As a scientific methodology rather than a standardized test, every LCA may be thought of as unique in terms of the selection of functional units or determination of system boundaries. Researchers generally tailor the method to meet the specific goals of their own investigations. This review examines a number of LCAs used to evaluate m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 31 publications
(6 citation statements)
references
References 45 publications
0
6
0
Order By: Relevance
“…After the cultivation stage the microalgae produced need to be recovered and dried. This is an energy‐intensive procedure and therefore it could affect the overall environmental sustainability of the microalgae‐to‐biodiesel systems. Initial biomass separation can be achieved by physical, chemical and/or biological methods, such as centrifugation, flocculation, sedimentation, flotation and filtration .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…After the cultivation stage the microalgae produced need to be recovered and dried. This is an energy‐intensive procedure and therefore it could affect the overall environmental sustainability of the microalgae‐to‐biodiesel systems. Initial biomass separation can be achieved by physical, chemical and/or biological methods, such as centrifugation, flocculation, sedimentation, flotation and filtration .…”
Section: Methodsmentioning
confidence: 99%
“…Nonetheless, with current technology, algae‐to‐biodiesel systems are energy intensive, which potentially affects their overall cost and environmental sustainability. Several studies dealing with the environmental performance of algae‐to‐biodiesel systems exist, e.g . but to the best of our knowledge, none deals with southern Greece's promising climatic conditions .…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the impact category for this study is climate change only (see Table 2.12 in section 2.5). This limited impact category selection is unfortunate yet typical of most studies using LCA methods (Collotta et al, 2016). However, even though this study does not include other impact categories, such as eutrophication or ozone depletion, for assessment, this study has taken into account the recommendations of other microalgal-energy system LCAs concerning environmental improvements and created a microalgal BD and ABE production model accordingly.…”
Section: Impact Categorymentioning
confidence: 99%
“…However, even though this study does not include other impact categories, such as eutrophication or ozone depletion, for assessment, this study has taken into account the recommendations of other microalgal-energy system LCAs concerning environmental improvements and created a microalgal BD and ABE production model accordingly. For example, high energy and environmental impact of microalgal biomass growth associated with nutrient requirements and land area requirements respectively has been accounted for by wastewater use and PBR use (Collotta et al, 2016). Little waste is generated in this process and the use of chemicals is minimalized (e.g., use of energy instead of large volumes of non-recyclable chemicals).…”
Section: Impact Categorymentioning
confidence: 99%
“…Based on prevailing literature, a predominant focus has been observed in LCA studies, with the majority concentrating solely on reporting global warming potential as part of the climate change impact category [23,24]. In contrast, our present study takes a different approach by selecting indicators relevant to the specific system under analysis.…”
Section: Introductionmentioning
confidence: 99%