UKERC EDC: ETI

Citation	Pillai, A.C.,Chick, J., Johanning, L., Khorasanchi, M. and Pelissier, S. Optimisation of Offshore Wind Farms Using a Genetic Algorithm, Proceedings of the Twenty-fifth (2015) International Offshore and Polar Engineering Conference, Kona, Big Island, Hawaii, June 21-26 2015, 2015. https://doi.org/10.5286/UKERC.EDC.000866. Cite this using DataCite
Author(s)	Pillai, A.C.,Chick, J., Johanning, L., Khorasanchi, M. and Pelissier, S.
Project partner(s)	University of Edinburgh
Publisher	Proceedings of the Twenty-fifth (2015) International Offshore and Polar Engineering Conference, Kona, Big Island, Hawaii, June 21-26 2015
DOI	https://doi.org/10.5286/UKERC.EDC.000866
Download	Pillai_etal_IOPE_2015_Optimisation_of_offshore_wind_farms_using_a_genetic.pdf
Abstract	A modular framework for the optimisation of an offshore wind farm using a discrete genetic algorithm is presented. This approach uses a bespoke grid generation algorithm to define the discrete positions that turbines may occupy, thereby implicitly satisfying navigational and search and rescue constraints through the wind farm. The presented methodology takes a holistic approach, optimising both the turbine placement and intra-array cable network while minimising the levelised cost of energy and satisfying real-world constraints. This tool therefore integrates models for the assessment of the energy production including wake losses, the optimisation of the intra-array cables, and the estimation of the costs of the project over the lifetime. This framework will allow alternate approaches to wake and cost modelling as well as optimisation to be benchmarked in the futuref the costs of the project over the lifetime. This framework will allow alternate approaches to wake and cost modelling as well as optimisation to be benchmarked in the future. This work was partly funded via IDCORE, the Industrial Doctorate Centre for Offshore Renewable Energy, which trains research engineers whose work in conjunction with sponsoring companies aims to accelerate the deployment of offshore wind, wave and tidal-current technologies
Associated Project(s)	ETI-MA2003: Industrial Doctorate Centre for Offshore Renewable Energy (IDCORE)
Associated Dataset(s)	No associated datasets
Associated Publication(s)	A model to map levelised cost of energy for wave energy projects An Integrated Data Management Approach for Offshore Wind Turbine Failure Root Cause Analysis An investigation of the effects of wind-induced inclination on floating wind turbine dynamics: heave plate excursion Application of an offshore wind farm layout optimization methodology at Middelgrunden wind farm Characterisation of current and turbulence in the FloWave Ocean Energy Research Facility Characterization of the tidal resource in Rathlin Sound Comparison of Offshore Wind Farm Layout Optimization Using a Genetic Algorithm and a Particle Swarm Optimizer Component reliability test approaches for marine renewable energy Constraints Implementation in the Application of Reinforcement Learning to the Reactive Control of a Point Absorber Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration Cost Reduction to Encourage Commercialisation of Marine in the UK Cumulative impact assessment of tidal stream energy extraction in the Irish Sea Design diagrams for wavelength discrepancy in tank testing with inconsistently scaled intermediate water depth Development of a Condition Monitoring System for an Articulated Wave Energy Converter Dynamic mooring simulation with Code(-)Aster with application to a floating wind turbine Environmental interactions of tidal lagoons: A comparison of industry perspectives ETI Insights Report - Wave Energy Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach Hybrid, Multi-Megawatt HVDC Transformer Topology Comparison for Future Offshore Wind Farms Hydrodynamic analysis of a ducted, open centre tidal stream turbine using blade element momentum theory Offshore wind farm electrical cable layout optimization Offshore wind installation vessels - A comparative assessment for UK offshore rounds 1 and 2 Quantifying uncertainty in acoustic measurements of tidal flows using a “Virtual” Doppler Current Profiler Reactive control of a two-body point absorber using reinforcement learning Reactive control of a wave energy converter using artificial neural networks Re-creation of site-specific multi-directional waves with non-collinear current Reliability and O & M sensitivity analysis as a consequence of site specific characteristics for wave energy converters Reliability prediction for offshore renewable energy: Data driven insights Resource characterization of sites in the vicinity of an island near a landmass Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation Sensitivity analysis of offshore wind farm operation and maintenance cost and availability Simulating Extreme Directional Wave Conditions Testing Marine Renewable Energy Devices in an Advanced Multi-Directional Combined Wave-Current Environment Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms The effects of wind-induced inclination on the dynamics ofsemi-submersible floating wind turbines in the time domain The Industrial Doctorate Centre for Offshore Renewable Energy(IDCORE) - Case Studies The power-capture of a nearshore, modular, flap-type wave energy converter in regular waves The SPAIR method: Isolating incident and reflected directional wave spectra in multidirectional wave basins UK offshore wind cost optimisation: top head mass (Presentation to All Energy, 10th May 2017)

Optimisation of Offshore Wind Farms Using a Genetic Algorithm