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The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Economic impact of biofouling on a naval surface ship

Schultz, M. P., Bendick, J. A., Holm, E. R., Hertel, W. M.·2011·Biofouling

Abstract

In the present study, the overall economic impact of hull fouling on a mid-sized naval surface ship (Arleigh Burke-class destroyer DDG-51) has been analyzed. A range of costs associated with hull fouling was examined, including expenditures for fuel, hull coatings, hull coating application and removal, and hull cleaning. The results indicate that the primary cost associated with fouling is due to increased fuel consumption attributable to increased frictional drag. The costs related to hull cleaning and painting are much lower than the fuel costs. The overall cost associated with hull fouling for the Navy's present coating, cleaning, and fouling level is estimated to be $56M per year for the entire DDG-51 class or $1B over 15 years. The results of this study provide guidance as to the amount of money that can be reasonably spent for research, development, acquisition, and implementation of new technologies or management strategies to combat hull fouling.

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Metadata

Authors
Schultz, M. P., Bendick, J. A., Holm, E. R., & Hertel, W. M.
Venue
Biofouling
Published
2010-12-14
Volume
27
Issue
1
Pages
87-98
ISSN
  • 0892-7014 (ISSN-L)
  • 1029-2454
OpenAlex
W2166742043
Cited by
1,380
References
11
FWCI
88.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Economic impact of biofouling on a naval surface ship. https://app.cochat.ai/papers/10.1080/08927014.2010.542809
The paper
Schultz, M. P., Bendick, J. A., Holm, E. R., & Hertel, W. M. (2011). Economic impact of biofouling on a naval surface ship. Biofouling. https://doi.org/10.1080/08927014.2010.542809

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.