Two-stage multi-objective renewable energy optimisation

Abstract

Energy use is paralleled with the need for renewable energy. Considering the abundance of wind potential in Turkey, it can be said that the advantages of wind energy are not sufficiently utilised. This study aims to determine the types and number of turbines to be used in the area where the wind farm will be established, with minimum cost. The facility was intended to be placed on both land and sea, and approaches were used to select a suitable coastal city. Since selection problems depend on more than one criterion in real life, the analytical network process, a multi-criteria decision-making technique, was used as a solution approach in this study. As a result of the model, it was decided to establish a wind turbine farm in Izmir. In the second phase of the study, the selected on-site settlement has been optimised. In this study, in which the appropriate site selection for heterogeneous wind farms and then field optimisation was made, turbine model selection, number and location are provided by a multi-objective mixed-integer optimisation model.

Keywords: ANP, energy, multi-criteria, renewable, wind;