Multi-objective pathway selection for sustainable biorefinery process with harvest scheduling under time-varying climate: techno-economic analysis and life cycle assessment approach
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Downstream stages such as concentration, harvesting, drying, and purification/storage represent substantial fractions of total production costs.
“Furthermore, recent cost assessment studies highlight that downstream stages—such as concentration, harvesting, drying, and purification/storage—cannot be neglected, as they represent substantial fractions of total production costs (Vázquez-Romero et al., 2022; Kim et al., 2025).”
From Microalgae biotechnology and its role in sustainable and healthy food design (2025) · cites this paper as Kim et al., 2025
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Self-citation
- Authors
- Kim, S., Tariq, S., Heo, S., Moosazadeh, M., & Yoo, C.
- Affiliations
- Kyung Hee University (KR)
- Dongguk University (KR)
- Kangwon National University (KR)
- Corresponding author
- Yoo, ChangKyoo
- Venue
- Energy Conversion and Management
- Publisher
- Elsevier BV
- Published
- 2025-11
- Volume
- 343
- Pages
- 120247
- ISSN
- 0196-8904 (ISSN-L)
- OpenAlex
- W4413099303
- Cited by
- 6
- References
- 42
- Citations by year
- 2026: 4 · 2025: 2
- FWCI
- 0.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Energy Conversion and Management (publishedVersion)
- Funders
- Ministry of Science and ICT, South Korea (2021R1A2C2007838)
- National Research Foundation of Korea
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Physical Sciences › Engineering › Control and Systems Engineering › Process Optimization and Integration
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- microalgae biorefinery, harvest scheduling, superstructure optimization, microalgae growth kinetics, Asterionella formosa, techno-economic analysis, life cycle assessment, CO2 emissions, genetic algorithm optimization
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