Production cost of a real microalgae production plant and strategies to reduce it
Abstract
The cost analysis of a real facility for the production of high value microalgae biomass is presented. The facility is based on ten 3 m3 tubular photobioreactors operated in continuous mode for 2 years, data of Scenedesmus almeriensis productivity but also of nutrients and power consumption from this facility being used. The yield of the facility was close to maximum expected for the location of Almería, the annual production capacity being 3.8 t/year (90 t/ha·year) and the photosynthetic efficiency being 3.6%. The production cost was 69 €/kg. Economic analysis shows that labor and depreciation are the major factors contributing to this cost. Simplification of the technology and scale-up to a production capacity of 200 t/year allows to reduce the production cost up to 12.6 €/kg. Moreover, to reduce the microalgae production cost to approaches the energy or commodities markets it is necessary to reduce the photobioreactor cost (by simplifying its design or materials used), use waste water and flue gases, and reduce the power consumption and labor required for the production step. It can be concluded that although it has been reported that production of biofuels from microalgae is relatively close to being economically feasible, data here reported demonstrated that to achieve it by using the current production technologies, it is necessary to substantially reduce their costs and to operate them near their optimum values.
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The high CAPEX of hybrid photobioreactors is directly related to material requirements and technological integration complexity, although it can be partially mitigated through scale-up and technological advances.
“Thus, the high CAPEX of hybrid photobioreactors is directly related to material requirements and technological integration complexity, although it can be partially mitigated through scale-up and technological advances (Acién et al., 2012).”
From Microalgae biotechnology and its role in sustainable and healthy food design (2025) · cites this paper as Acién et al., 2012
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- Authors
- Acién, F. G., Fernández, J. M., Magán, J. J., & Molina, E.
- Affiliations
- University of Almería (ES)
- Corresponding author
- Acién, F.G.
- Venue
- Biotechnology Advances
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 30
- Issue
- 6
- Pages
- 1344-1353
- ISSN
- 0734-9750 (ISSN-L)
- OpenAlex
- W2018607814
- Cited by
- 735
- References
- 28
- Citations by year
- 2026: 52 · 2025: 45 · 2024: 56 · 2023: 58 · 2022: 64 · 2021: 57 · 2020: 66 · 2019: 78 · 2018: 45 · 2017: 52 · 2016: 47 · 2015: 45 · 2014: 32 · 2013: 27 · 2012: 10
- FWCI
- 13.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biotechnology Advances (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Algae and aquatic biomass for a sustainable production of 2nd generation biofuels” (FP7-ENERGY-2009-1)
- Ministerio de Ciencia e Innovación (CTQ2008-06741-CO2-01/PPQ)
- Junta de Andalucía Plan Andaluz de Investigación (CVI 173&131)
- ACCIONA Biocombustibles and Fundación CAJAMAR
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
- Keywords
- microalgae cultivation, production costs, tubular photobioreactor, Scenedesmus almeriensis, economic analysis, scale-up, power consumption, labor costs, depreciation, photosynthetic efficiency, microalgal biofuels, Almería
- MeSH terms
- Biotechnology, Costs and Cost Analysis, Electricity, Seasons, Spain, Thermodynamics, Biomass, Scenedesmus, Microalgae, Photobioreactors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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