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Optimization upstream CO2 deliverable with downstream algae deliverable in quantity and quality and its impact on energy consumption.
- Source :
-
Science of the Total Environment . Mar2020, Vol. 709, pN.PAG-N.PAG. 1p. - Publication Year :
- 2020
-
Abstract
- Algae CO 2 biofixation provides a promising opportunity due to earn carbon credits and valuable end uses. For balancing technology, energy and economy issues in practical utilization, this approach quantitively interprets the contradictions from upstream CO 2 source with a wide range of initial concentration to downstream CO 2 biofixation product including edible algae and algal biomass. The influence of upstream CO 2 deliverable on algal quantity and quality have been assessed, and the influence of CO 2 concentration on CO 2 transport mode choice has been also assessed coupling the transportation distance. In downstream algal fixation, quantitively relationship of algal growth have been established. The assessment discovered that direct energy consumptions complied with logarithmic relationship with specific productivities while both direct energy and indirect energy consumption complied with linear relationship with protein content. According to sensitive uncertainty analysis, initial CO 2 concentration is a critical parameter to influence significantly energy consumption in upstream CO 2 deliverables and algal quality while the contents of protein and specific productivity are the critical sensitive parameters in downstream algae deliverables. Potential modification systems are achieved for significantly reducing energy consumption by improving specific productivity and carbon abundance with low protein content in algae. Unlabelled Image • Establish quantitively relationship of algal growth and CO 2 fixation efficiency • Correlation of upstream flue gas and downstream CO 2 biofixation product choice • Effects of algae growth rate and protein contents on energy consumption • Effects of initial CO 2 concentration on algal products quality • Key impact factors extracted by the sensitive uncertainty analysis [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00489697
- Volume :
- 709
- Database :
- Academic Search Index
- Journal :
- Science of the Total Environment
- Publication Type :
- Academic Journal
- Accession number :
- 141637147
- Full Text :
- https://doi.org/10.1016/j.scitotenv.2019.136197