Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts

Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts

A Master of Science thesis in Engineering Systems Management by Mohammed Sharif Saifallah Armaghan entitled, “Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts”, submitted in November 2025. Thesis advisor is Dr. Noha Mohamed Hassan. Soft copy is ava...

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Bibliographic Details
Main Author: Armaghan, Mohammed Sharif Saifallah (author)
Format: doctoralThesis
Published: 2025
Subjects:
Wind energy
Renewable energy
Building configurations
Urban planning
Computational Fluid Dynamics (CFD)
Turbulence Kinetic Energy (TKE)
Design of Experiments (DOE)
Regression Analysis
Detached Eddy Simulation (DES)
Online Access:https://hdl.handle.net/11073/33109
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Summary:A Master of Science thesis in Engineering Systems Management by Mohammed Sharif Saifallah Armaghan entitled, “Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts”, submitted in November 2025. Thesis advisor is Dr. Noha Mohamed Hassan. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).

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