The inclusion of uncertainty in circularity transition modeling: A case study on wind turbine blade end-of-life management
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
The transition to a more circular economy (CE) is complex and hard to predict, including in sustainable energy technologies. Many sources of uncertainty make it challenging to model CE scenarios and their potential benefits. As an example, the high variability in costs and revenues of different recycling options makes future wind turbine blade recycling highly uncertain. To better understand this challenge, the circular economy, life cycle assessment and visualization (CELAVI) framework - a discrete event simulation and life cycle assessment framework - is modified to incorporate uncertainty analysis capabilities. Moreover, a 3-step procedure that covers different aspects of uncertainty in CE studies and includes a Monte-Carlo analysis is proposed. The procedure is tested in a case study on wind turbine blade recycling using CELAVI. Results highlight that grinding and landfilling costs are the most influential parameters for wind power circularity. The model's output coefficients of variation (when input parameter uncertainties are propagated) are between 92% and 384% depending on the indicator. The approach developed in this study may help researchers and decision-makers who study circularity prioritize their data collection effort. Finally, our method contributes to a mounting yet critical body of research: the measurement of uncertainty in circularity transitions.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC); USDOE Laboratory Directed Research and Development (LDRD) Program
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 2282706
- Report Number(s):
- NREL/JA-6A20-84178; MainId:84951; UUID:2b9d99ac-5fe8-448f-8e70-df2e902facd0; MainAdminID:70670
- Journal Information:
- Sustainable Energy Technologies and Assessments, Vol. 60; ISSN 2213-1388
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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