Jonathan Hay

Jonathan Hay serves as a Staff Software Engineer, primarily focused on the optimization of inter-array medium voltage cables in wind farms to achieve minimum CAPEX, minimum revenue losses, and maximum Internal Rate of Return (IRR). He employs mixed-integer linear programming (MILP) for optimizing electrical array cable layouts and explores innovative algorithms such as A* Search and Minimum Spanning Trees (MST) for civil design in optimizing wind farm road networks. Additionally, Hay investigates the Minimum Steiner Tree Problem to enhance the efficiency of road network designs within wind farms. He has contributed significantly to the development of WindDesk Discover, a tool designed for prospecting wind farms, and engages in integrating comprehensive development pipelines for automated electrical collection design in wind farms. His work is aimed at reducing capital expenditures and boosting revenue through strategic layout optimization of roads and electrical cables.