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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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Armaghan, Mohammed Sharif Saifallah (author)
التنسيق: doctoralThesis
منشور في: 2025
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/11073/33109
الوسوم: إضافة وسم
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author Armaghan, Mohammed Sharif Saifallah
author_facet Armaghan, Mohammed Sharif Saifallah
author_role author
dc.contributor.none.fl_str_mv Hassan, Noha
dc.creator.none.fl_str_mv Armaghan, Mohammed Sharif Saifallah
dc.date.none.fl_str_mv 2025-11
2026-01-28T04:42:49Z
2026-01-28T04:42:49Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2025.53
https://hdl.handle.net/11073/33109
dc.language.none.fl_str_mv en_US
dc.relation.none.fl_str_mv Master of Science in Engineering Systems Management (MSESM)
dc.subject.none.fl_str_mv 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)
dc.title.none.fl_str_mv Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description 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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id aus_bf8954accf22a9e9aa8fd06dd172bb8a
identifier_str_mv 35.232-2025.53
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/33109
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building LayoutsArmaghan, Mohammed Sharif SaifallahWind energyRenewable energyBuilding configurationsUrban planningComputational Fluid Dynamics (CFD)Turbulence Kinetic Energy (TKE)Design of Experiments (DOE)Regression AnalysisDetached Eddy Simulation (DES)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).College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM)Hassan, Noha2026-01-28T04:42:49Z2026-01-28T04:42:49Z2025-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2025.53https://hdl.handle.net/11073/33109en_USMaster of Science in Engineering Systems Management (MSESM)oai:repository.aus.edu:11073/331092026-01-28T08:45:01Z
spellingShingle Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts
Armaghan, Mohammed Sharif Saifallah
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)
status_str publishedVersion
title Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts
title_full Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts
title_fullStr Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts
title_full_unstemmed Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts
title_short Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts
title_sort Optimizing Urban Wind Energy Capture: A CFD and Design of Experiments Framework for Building Layouts
topic 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)
url https://hdl.handle.net/11073/33109