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potential impact-causing factors identified for floating offshore wind
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We define, design and manage projects that create shared value to a complex, urbanising and resource-scarce world.
Brilliant minds finding solutions to complex problems, made easy to understand. Making complex easy.
Our model illustrates the relative vulnerability of habitats and species in each region and the magnitude of potential impact. We developed a relational database and graphical user interface through which BOEM can view results and update the model with new data.
Start date
In March 2017, the interim report for Task 1 (ID, Characterize Impact-Causing Factors) was completed.
In October 2017, the interim report for Task 3 (Implement Refined RESA Model) was completed.
In June 2018, the final study report, Final Database and GUI Delivery and Training Webinar for BOEM were presented.
June 2018 also marked the completion of the project.
Environmental Sensitivity and Associated Risk to Habitats and Species Offshore Central California and Hawaii from Offshore Floating Wind
Bureau of Ocean Energy Management (BOEM)
The wind energy industry is relatively young and since there were no large-scale floating offshore wind operations in place in the United States at the time of this work, RPS marine biologists undertook a challenging literature review to build a reliable knowledge base. The potential impacts of offshore wind on wildlife are difficult to study and are better understood in waters around Europe; thus, there are significant gaps in the literature for wind impacts on some North American marine species.
RPS scientists collected and reviewed over 500 technical references to assess the behaviors and traits that could make a species vulnerable to offshore wind impacts and understand the knowledge gaps in the literature. RPS built a model framework of over 135 algorithms that is easily expandable, to allow BOEM to add new study areas in the OCS.
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potential impact-causing factors identified for floating offshore wind
26
categorical ranking schemes developed to analyse species vulnerability
44
bird, bat, fish, invertebrate, marine mammal, and turtle species researched
135
different calculation steps in the model algorithms
500 +
technical references reviewed, ranked, and compiled in the database