turbines-module adapted to the marine site for tidal farms layout optimization

In this work we propose a new methodology for tidal farm layout optimization. For the optimization process we adopt a simple Mixed Integer Quadratic Programming (MIQP) algorithm, coupled with a wake model. The algorithm has a discrete approach, hence we establish a priori the available turbine locations in a staggered configuration. The novelty lies in the staggered configuration adopted as input of the optimization process: the staggered grid is tailor made thinking to a particular ocean site of interest. Hence, the staggered grid will be found by means of geometrical and site dependent evaluations, in particular by considering the range of prevalent flow directions characteristics of the site. In this way, we establish the best "module" made up of three turbines, which will be the building block of the staggered grid. This will allow us to adapt the algorithm to changing site, and at the same time to maintain it easy to implement, and quick in response thanks to the discrete approach. The application of this methodology to a case study farm made up of 9 machines, will show an increase in power production of about 6$\%$ compared to the power generated by the same number of devices optimized with a conventional staggered grid.