Imperial College London
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Stephan Kramer

Faculty of Engineering, Department of Earth Science & Engineering

Advanced Research Fellow
 
 
 
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Contact

 

s.kramer Website CV

 
 
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Location

 

4.85Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Avdis:2017:10.1016/j.renene.2017.09.058,
author = {Avdis, A and Candy, AS and Hill, J and Kramer, SC and Piggott, MD},
doi = {10.1016/j.renene.2017.09.058},
journal = {Renewable Energy},
pages = {842--856},
title = {Efficient unstructured mesh generation for marine renewable energy applications},
url = {http://dx.doi.org/10.1016/j.renene.2017.09.058},
volume = {116},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Renewable energy is the cornerstone of preventing dangerous climate change whilst maintaining a robust energy supply. Tidal energy will arguably play a critical role in the renewable energy portfolio as it is both predictable and reliable, and can be put in place across the globe. However, installation may impact the local and regional ecology via changes in tidal dynamics, sediment transport pathways or bathymetric changes. In order to mitigate these effects, tidal energy devices need to be modelled in order to predict hydrodynamic changes. Robust mesh generation is a fundamental component required for developing simulations with high accuracy. However, mesh generation for coastal domains can be an elaborate procedure. Here, we describe an approach combining mesh generators with Geographical Information Systems. We demonstrate robustness and efficiency by constructing a mesh with which to examine the potential environmental impact of a tidal turbine farm installation in the Orkney Islands. The mesh is then used with two well-validated ocean models, to compare their flow predictions with and without a turbine array. The results demonstrate that it is possible to create an easy-to-use tool to generate high-quality meshes for combined coastal engineering, here tidal turbines, and coastal ocean simulations.
AU  - Avdis,A
AU  - Candy,AS
AU  - Hill,J
AU  - Kramer,SC
AU  - Piggott,MD
DO  - 10.1016/j.renene.2017.09.058
EP  - 856
PY  - 2017///
SN  - 0960-1481
SP  - 842
TI  - Efficient unstructured mesh generation for marine renewable energy applications
T2  - Renewable Energy
UR  - http://dx.doi.org/10.1016/j.renene.2017.09.058
UR  - http://hdl.handle.net/10044/1/50884
VL  - 116
ER  -
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