Porth Ymchwil

A tool for simulating collision probabilities of animals with marine renewable energy devices

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

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A tool for simulating collision probabilities of animals with marine renewable energy devices. / Schmitt, Pál; Culloch, Ross; Lieber, Lilian et al.
Yn: PLoS ONE, Cyfrol 12, Rhif 11, e0188780, 29.11.2017.

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

HarvardHarvard

Schmitt, P, Culloch, R, Lieber, L, Molander, S, Hammar, L & Kregting, L 2017, 'A tool for simulating collision probabilities of animals with marine renewable energy devices', PLoS ONE, cyfrol. 12, rhif 11, e0188780. https://doi.org/10.1371/journal.pone.0188780

APA

Schmitt, P., Culloch, R., Lieber, L., Molander, S., Hammar, L., & Kregting, L. (2017). A tool for simulating collision probabilities of animals with marine renewable energy devices. PLoS ONE, 12(11), Erthygl e0188780. https://doi.org/10.1371/journal.pone.0188780

CBE

Schmitt P, Culloch R, Lieber L, Molander S, Hammar L, Kregting L. 2017. A tool for simulating collision probabilities of animals with marine renewable energy devices. PLoS ONE. 12(11):Article e0188780. https://doi.org/10.1371/journal.pone.0188780

MLA

Schmitt, Pál et al. "A tool for simulating collision probabilities of animals with marine renewable energy devices". PLoS ONE. 2017. 12(11). https://doi.org/10.1371/journal.pone.0188780

VancouverVancouver

Schmitt P, Culloch R, Lieber L, Molander S, Hammar L, Kregting L. A tool for simulating collision probabilities of animals with marine renewable energy devices. PLoS ONE. 2017 Tach 29;12(11):e0188780. doi: 10.1371/journal.pone.0188780

Author

Schmitt, Pál ; Culloch, Ross ; Lieber, Lilian et al. / A tool for simulating collision probabilities of animals with marine renewable energy devices. Yn: PLoS ONE. 2017 ; Cyfrol 12, Rhif 11.

RIS

TY - JOUR

T1 - A tool for simulating collision probabilities of animals with marine renewable energy devices

AU - Schmitt, Pál

AU - Culloch, Ross

AU - Lieber, Lilian

AU - Molander, Sverker

AU - Hammar, Linus

AU - Kregting, Louise

PY - 2017/11/29

Y1 - 2017/11/29

N2 - The mathematical problem of establishing a collision probability distribution is often not trivial. The shape and motion of the animal as well as of the the device must be evaluated in a four-dimensional space (3D motion over time). Earlier work on wind and tidal turbines was limited to a simplified two-dimensional representation, which cannot be applied to many new structures. We present a numerical algorithm to obtain such probability distributions using transient, three-dimensional numerical simulations. The method is demonstrated using a sub-surface tidal kite as an example. Necessary pre- and post-processing of the data created by the model is explained, numerical details and potential issues and limitations in the application of resulting probability distributions are highlighted.

AB - The mathematical problem of establishing a collision probability distribution is often not trivial. The shape and motion of the animal as well as of the the device must be evaluated in a four-dimensional space (3D motion over time). Earlier work on wind and tidal turbines was limited to a simplified two-dimensional representation, which cannot be applied to many new structures. We present a numerical algorithm to obtain such probability distributions using transient, three-dimensional numerical simulations. The method is demonstrated using a sub-surface tidal kite as an example. Necessary pre- and post-processing of the data created by the model is explained, numerical details and potential issues and limitations in the application of resulting probability distributions are highlighted.

KW - Algorithms

KW - Animals

KW - Models, Theoretical

KW - Renewable Energy

KW - Seawater

U2 - 10.1371/journal.pone.0188780

DO - 10.1371/journal.pone.0188780

M3 - Article

C2 - 29186183

VL - 12

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 11

M1 - e0188780

ER -