An agent-based model to predict fish collisions with tidal stream turbines

Kate Rossington and Thomas Benson

Renewable Energy, 2020, vol. 151, issue C, 1220-1229

Abstract: Interest in marine tidal turbines, particularly in coastal waters, raises concerns about collisions between marine wildlife and underwater turbine blades. Prediction methods for collisions are necessary to evaluate possible consequences for marine animal populations. Existing collision risk models, based on analytical solutions, assume simplistic non-behavioural traits. This paper seeks to advance these collision models to represent real behaviours of marine species by extending an existing numerical Agent-Based Model (ABM) to include predictions of collisions.

Keywords: Tidal stream turbines; Fish encounters; Numerical modelling; Agent-based model; Collision risk model (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:151:y:2020:i:c:p:1220-1229

DOI: 10.1016/j.renene.2019.11.127

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