Developmental Model for Wind Turbine Positioning

This paper proposes a local method that gives optimizes wind turbine layout compared to already existing global methods. The global existing methods have proved to be inadequate to maximize wind resources towards this goal, hence the need for an optimized algorithm. Our method is based on a bioinspired developmental model were cells are controlled by a Gene Regulatory Network. We propose to setup a binding between cells and turbines. Since cells can divide, we plan to implement this self-reconfiguring and environmentaladapting approach to turbines. A turbine cell is allowed to adjust to its environment, then it dynamically chooses what direction to split to, that maximizes the wind resource.