@misc{13318, author = {Dave Culley and Simon Funke and Stephan Kramer and Matthew Piggott}, title = {Tidal stream resource assessment through optimisation of array design with quantification of uncertainty}, abstract = {As the number of tidal stream turbines within an array increases, so the effects of that array on the flow, environment, and on the objective measures (such as energy yield or financial profit) begin to suffer the effects of diminishing increases. In addition, it has been demonstrated that optimising the layout of individual turbines within an array -- micro-siting -- facilitates significantly increased energy harvest for a given number of turbines in a given area, as compared to a {\textquoteleft}human{\textquoteright}s best attempt{\textquoteright} design. The optimal micro-siting design of an array, and therefore an accurate forecast of the yield of that array, must be found as the product of an optimisation exercise which may incorporate turbine parameters, local bathymetry and a host of other practical, physical, legal, financial or environmental constraints. The number of turbines within an array proposed for a given site has an even greater effect on the yield of that array and is consequently a problem of critical importance. Like the micro-siting design, this also cannot be solved directly but must be approached through a process of iterative optimisation. Consequently, only through determining the optimal number of turbines and their arrangement, can a reliable estimate of the accessible tidal resource on a site be made. Having determined the optimal array design it is imperative that the sensitivity of the design to the modelling assumptions can be quantified and fully understood. In this paper a framework for the design of tidal turbine arrays (both size and micro-siting) is presented with functionality to measure the sensitivity of the objective function with respect to the modelling parameters.}, year = {2015}, journal = {European Wave and Tidal Energy Conference}, }