LAPSE:2023.27642
Published Article

LAPSE:2023.27642
GoWInD: Wind Energy Spatiotemporal Assessment and Characterization of End-of-Life Activities
April 4, 2023
Abstract
Concerns on the lack sustainable end-of-life options for wind turbines have significantly increased in recent years. To ensure wind energy continuous growth, this research develops a novel spatiotemporal methodology that sustainably handles end-of-life activities for wind equipment. This research introduces the Global Wind Inventory for Future Decommissioning (GoWInD), which assesses and characterizes wind turbines according to individual spatiotemporal decommissioning and sustainability attributes. Applying data from GoWInD, the research developments networks of end-of-life (EoL) centers for wind turbines. The placement and operational levels of EoL centers optimize sustainable decommissioning according to changing spatiotemporal features of wind turbines. The methodology was evaluated for the United States, developing the United States Global Wind Inventory for Future Decommissioning (US—GoWInD), implementing the network of United States end-of-life (US—EoL) centers. Significant imbalances on the temporal and spatial distribution of US wind decommissioning inventory were revealed by the system. Diverse options to effectively handle these imbalances were highlighted by the methodology, including US—EoL center optimization according to placement, operational levels and potential complementarities. Particular attention was paid to components with challenging disposal options. The system can be implemented for diverse geographical locations and alternative spatial and temporal resolutions.
Concerns on the lack sustainable end-of-life options for wind turbines have significantly increased in recent years. To ensure wind energy continuous growth, this research develops a novel spatiotemporal methodology that sustainably handles end-of-life activities for wind equipment. This research introduces the Global Wind Inventory for Future Decommissioning (GoWInD), which assesses and characterizes wind turbines according to individual spatiotemporal decommissioning and sustainability attributes. Applying data from GoWInD, the research developments networks of end-of-life (EoL) centers for wind turbines. The placement and operational levels of EoL centers optimize sustainable decommissioning according to changing spatiotemporal features of wind turbines. The methodology was evaluated for the United States, developing the United States Global Wind Inventory for Future Decommissioning (US—GoWInD), implementing the network of United States end-of-life (US—EoL) centers. Significant imbalances on the temporal and spatial distribution of US wind decommissioning inventory were revealed by the system. Diverse options to effectively handle these imbalances were highlighted by the methodology, including US—EoL center optimization according to placement, operational levels and potential complementarities. Particular attention was paid to components with challenging disposal options. The system can be implemented for diverse geographical locations and alternative spatial and temporal resolutions.
Record ID
Keywords
end-of-life centers, global wind inventory for future decommissioning (GoWInD), sustainable end-of-life, wind energy, wind turbine decommissioning
Subject
Suggested Citation
Haces-Fernandez F. GoWInD: Wind Energy Spatiotemporal Assessment and Characterization of End-of-Life Activities. (2023). LAPSE:2023.27642
Author Affiliations
Haces-Fernandez F: College of Business Administration, Texas A&M University Kingsville, Kingsville, TX 78363, USA [ORCID]
Journal Name
Energies
Volume
13
Issue
22
Article Number
E6015
Year
2020
Publication Date
2020-11-18
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13226015, Publication Type: Journal Article
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LAPSE:2023.27642
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https://doi.org/10.3390/en13226015
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Apr 4, 2023
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Apr 4, 2023
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