Skip navigation

Harvesting time and biomass composition affect the economics of microalgae production

Harvesting time and biomass composition affect the economics of microalgae production

Sui, Yixing ORCID: 0000-0003-2646-5773, Jiang, Yu, Moretti, Michele and Vlaeminck, Siegfried E. (2020) Harvesting time and biomass composition affect the economics of microalgae production. Journal of Cleaner Production, 259:120782. ISSN 0959-6526 (doi:https://doi.org/10.1016/j.jclepro.2020.120782)

[img] PDF (Author's Accepted Manuscript)
27750 SUI_Harvesting_Time_And_Biomass_Composition_Affect_The_Economics_Of_Microalgae_Production_(AAM)_2020.pdf - Accepted Version
Restricted to Repository staff only until 1 March 2021.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Request a copy

Abstract

Cost simulations provide a strong tool to render the production of microalgae economically viable. This study evaluated the unexplored effect of harvesting time and the corresponding microalgal biomass composition on the overall production cost, under both continuous light and light/dark regime using techno-economic analysis (TEA). At the same time, the TEA gives evidence that a novel product “proteinaceous salt” from Dunaliella microalgae production is a promising high-value product for commercialization with profitability. The optimum production scenario is to employ natural light/dark regime and harvest microalgal biomass around late exponential phase, obtaining the minimum production cost of 11 €/kg and a profitable minimum selling price (MSP) of 14.4 €/kg for the “proteinaceous salt”. For further optimization of the production, increasing microalgal biomass concentration is the most effective way to reduce the total production cost and increase the profits of microalgae products.

Item Type: Article
Uncontrolled Keywords: novel food, microalgae, single-cell protein, food market, biobased economy
Subjects: Q Science > Q Science (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Algal Biotechnology Research Group
Faculty of Engineering & Science > School of Science (SCI)
Last Modified: 27 Apr 2020 10:11
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: REF 4
URI: http://gala.gre.ac.uk/id/eprint/27750

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics