Among growing urban energy needs and the pressing challenges linked to fossil fuel reliance, innovative solutions are sought. One promising avenue involves integrating wind energy into urban landscapes, leveraging technologies adapted for urban wind power extraction. Achieving this demands a profound grasp of flow dynamics and coherent structures surrounding buildings, along with determining consistently highenergy sites contributing to sustainable power generation. This paper employs a two-fold approach: a Computational Fluid Dynamics (CFD) simulation and a Reduced Order Model (ROM) employing Proper Orthogonal Decomposition (POD). The aim is to conduct a comparative analysis of turbulent urban canopy layers with high-rise structures within different urban morphology. POD is employed to identify significant coherent flow structures, facilitating the computation of wind power density (WPD) and turbulence intensity fields. The results obtain areas with the highest potential WPD near high-rise structures for identifying optimal locations for urban turbine installations. These findings address the increasing need for advancing urban energy sustainability and hold promise for diverse applications, spanning highperformance building designs to urban air mobility solutions.