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Published (Version of Record)CC BY V4.0, Open Access
Journal article
Process design and economic analysis for the production of microalgae from anaerobic digestates in open raceway ponds
The Science of the total environment, Vol.923, 171554
2024
PMID: 38458470
Appears in Open Access via Read & Publish Agreements
Abstract
A model based framework was established for large scale assessment of microalgae production using anaerobically digested effluent considering varied climatic parameters such as solar irradiance and air temperature. The aim of this research was to identify the optimum monthly average culture depth operation to minimize the cost of producing microalgae grown on anaerobic digestion effluents rich in ammoniacal nitrogen with concentration of 248 mg L−1. First, a productivity model combined with a thermal model was developed to simulate microalgae productivity in open raceway ponds as a function of climatic variables. Second, by combining the comprehensive open pond model with other harvesting equipment, the final techno economic model was developed to produce a microalgae product with 20 wt% biomass content and treated water with <1 mg L−1 ammoniacal nitrogen. The optimization approach on culture depth for outdoor open raceway ponds managed to reduce the cost of microalgae production grown in anaerobic digested wastewater up to 16 %, being a suitable solution for the production of low cost microalgae (1.7 AUD kg−1 dry weight) at possible scale of 1300 t dry weight microalgae yr−1.
Details
- Title
- Process design and economic analysis for the production of microalgae from anaerobic digestates in open raceway ponds
- Authors/Creators
- Arsalan Alavian Ghavanini - Engineering and Energy, College of Science, Technology, Engineering and Mathematics, Murdoch University, 90 South Street, Murdoch, WA 6150, AustraliaNavid R. Moheimani - Murdoch UniversityParisa A. Bahri - Murdoch University
- Publication Details
- The Science of the total environment, Vol.923, 171554
- Publisher
- Elsevier B.V.
- Identifiers
- 991005648387507891
- Copyright
- © 2024 The Authors.
- Murdoch Affiliation
- School of Environmental and Conservation Sciences; Centre for Water, Energy and Waste; College of Science, Technology, Engineering and Mathematics; Algae R&D Centre
- Language
- English
- Resource Type
- Journal article
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