Imperial College London
Alternate

ProfessorMatthewPiggott

Faculty of Engineering, Department of Earth Science & Engineering

Professor of Computational Geoscience and Engineering
 
 
 
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Contact

 

m.d.piggott Website

 
 
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Location

 

4.82Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jordan:2022:10.1007/s40722-022-00225-2,
author = {Jordan, C and Dundovic, D and Fragkou, AK and Deskos, G and Coles, DS and Piggott, MD and Angeloudis, A},
doi = {10.1007/s40722-022-00225-2},
journal = {Journal of Ocean Engineering and Marine Energy},
pages = {193--215},
title = {Combining shallow-water and analytical wake models for tidal-array micro-siting},
url = {http://dx.doi.org/10.1007/s40722-022-00225-2},
volume = {8},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - For tidal-stream energy to become a competitive renewable energy source, clustering multiple turbines into arrays is paramount. Array optimisation is thus critical for achieving maximum power performance and reducing cost of energy. However, ascertaining an optimal array layout is a complex problem, subject to specific site hydrodynamics and multiple inter-disciplinary constraints. In this work, we present a novel optimisation approach that combines an analytical-based wake model, FLORIS, with an ocean model, Thetis. The approach is demonstrated through applications of increasing complexity. By utilising the method of analytical wake superposition, the addition or alteration of turbine position does not require re-calculation of the entire flow field, thus allowing the use of simple heuristic techniques to perform optimisation at a fraction of the computational cost of more sophisticated methods. Using a custom condition-based placement algorithm, this methodology is applied to the Pentland Firth for arrays with turbines of 3.05m/s rated speed, demonstrating practical implications whilst considering the temporal variability of the tide. For a 24-turbine array case, micro-siting using this technique delivered an array 15.8% more productive on average than a staggered layout, despite flow speeds regularly exceeding the rated value. Performance was evaluated through assessment of the optimised layout within the ocean model that treats turbines through a discrete turbine representation. Used iteratively, this methodology could deliver improved array configurations in a manner that accounts for local hydrodynamic effects.
AU  - Jordan,C
AU  - Dundovic,D
AU  - Fragkou,AK
AU  - Deskos,G
AU  - Coles,DS
AU  - Piggott,MD
AU  - Angeloudis,A
DO  - 10.1007/s40722-022-00225-2
EP  - 215
PY  - 2022///
SN  - 2198-6444
SP  - 193
TI  - Combining shallow-water and analytical wake models for tidal-array micro-siting
T2  - Journal of Ocean Engineering and Marine Energy
UR  - http://dx.doi.org/10.1007/s40722-022-00225-2
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000766408300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://link.springer.com/article/10.1007/s40722-022-00225-2#article-info
UR  - http://hdl.handle.net/10044/1/96157
VL  - 8
ER  -
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