Intelligent System to Support Decision Making Using Optimization Business Models for Wind Farm Design

In the digital age, all successful business processes depend on well-motivated and effective decision-making. To be more precise, these effective decisions are to be based on properly formulated mathematical models. To achieve such decisions a framework of an intelligent system to support decision-making is proposed. The proposed framework relies on the effective integration of multi-attribute group decision making models (MAGDM) and mathematical optimization models (single or multi-objective). While the MAGDM models contribute to the determination of the most preferred alternative by aggregation different points of view of the group experts, the goal of using the optimization models aims to determine the effectiveness of the selected alternative. The described framework is applied for the selection of wind turbine types for designing a wind farm. The efficiency of the designed wind farm is evaluated by using an optimization model. It is shown that in some cases the selected preferred turbine type leads to less wind farm performance taking into account the particular farm area and wind conditions.