Circular economy and life cycle thinking applied to the biomass supply chain: A review
Open accessAbstract
The adoption of circular economy and life cycle thinking (LCT) tools plays an important role in implementing and evaluating sustainable development strategies of companies. However, until now there is no review paper on the application of these concepts in the biomass supply chain (BSC). This paper aims to review the application of circular economy and LCT in BSC. PRISMA method was used for the review. The analysis was conducted to examine case studies focusing on (1) approaches and practices of applying circularity economy concepts such as circular economy principles, strategies, indicators, business models, (2) application of LCT tools and sustainable concepts. Besides, benefits, limitations, and discussion of applying these concepts and tools were conducted. The review results show that four circular economy principles are applied (reuse, recycle, reduction and recovery), in forms of three strategies: use innovative technologies, improving operational activities and extending the BSC. Regarding LCT, most of the studies focus on environmental assessment, with some extension to economic and social impacts. Most of the exiting literature studied circular economy and LCT separately; therefore, it is recommended that comprehensive, life cycle-based tools should be developed for businesses and decision-makers to thoroughly assess and improve circularity and sustainability of bioenergy.
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Anaerobic digestion for waste-to-energy production is one such technology, where pre-treatments aim to increase biogas yields.
“One of them is anaerobic digestion for waste-to-energy production, where pre-treatments are aimed at increasing biogas yields [38,41].”
From Use of Waste from the Food Industry and Applications of the Fermentation Process to Create Sustainable Cosmetic Products: A Review (2024) · cites this paper as [41]
Section 3 (p. 4) says anaerobic digestion is frequently used with agricultural biomass and organic waste to produce bioelectricity or biofuel. The Introduction (p. 2) mentions biomass pre-treatment among technologies discussed for optimizing biogas production, but does not specifically say that pre-treatments aim to increase biogas yields. (LLM, conf=0.83)
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Cited by
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Krzyżostan, M., Wawrzyńczak, A., & Nowak, I. (2024) · Sustainability · doi:10.3390/su16072757 · Cited by 47 · see citing works
“To make packaging more sustainable, it should have an increased recycling rate, based on the effective amount of plastic waste turned into secondary plastics [46–50].”
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- Authors
- Longo, S., Cellura, M., Luu, L. Q., Nguyen, T. Q., Rincione, R., & Guarino, F.
- Affiliations
- University of Palermo (IT)
- Corresponding author
- Longo, Sonia
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 220
- Pages
- 119598
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W4388486291
- Cited by
- 51
- References
- 86
- Citations by year
- 2026: 14 · 2025: 23 · 2024: 13 · 2023: 1
- FWCI
- 10.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Renewable Energy (publishedVersion, cc-by)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Ministero dell'Istruzione dell'Universita e della Ricerca (20175TXJER)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Physical Sciences › Engineering › Mechanics of Materials › Forest Biomass Utilization and Management
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Bioeconomy and Sustainability Development
- Keywords
- circular economy, life cycle thinking, biomass supply chain, bioenergy, circular economy principles, circular business models, circularity indicators, environmental assessment, sustainable development
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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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