{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/120281"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/120281","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Optimizing the integration of renewable energy systems in buildings","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","abstract_has_math":false,"creators":["Hassan, Ahmed Adel"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["El-Rayes , Khaled","El-Gohary , Nora","Anthony, Kathryn","Golparvar-Fard, Mani"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05","date_published":"2023-05","updated_at":"2026-07-22T22:24:57Z","subjects":["Renewable Energy","New Buildings","Building Upgrades","Design","Optimization","Solar Energy","Bipv","Genetic Algorithm","Wind"],"languages":["en","eng"],"rights":["Copyright 2023 Ahmed Hassan"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/120281","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["El-Rayes , Khaled","El-Gohary , Nora","Anthony, Kathryn","Golparvar-Fard, Mani"]},{"key":"dc:creator","label":"Author","values":["Hassan, Ahmed Adel"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05","2023-04-19"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Renewable Energy","New Buildings","Building Upgrades","Design","Optimization","Solar Energy","Bipv","Genetic Algorithm","Wind"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Ahmed Hassan"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/120281"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","The student, Ahmed Hassan, accepted the attached license on 2023-04-17 at 23:53.","The student, Ahmed Hassan, submitted this Dissertation for approval on 2023-04-18 at 00:03.","This Dissertation was approved for publication on 2023-04-19 at 13:21.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19025 on 2023-09-01 at 17:08:52","The Energy Information Administration (EIA) reported in 2021 that the United States is the second largest producer of carbon dioxide (CO2) emissions worldwide. To minimize these CO2 emissions and their negative environmental impacts, there is an increasing demand to integrate renewable energy systems in private and public buildings. For example, federal and state governments have recently enacted several regulations and incentive programs to promote the use of renewable energy systems in existing and new buildings. This highlights the pressing need for designers to search for and identify optimal designs for the integration of cost-effective renewable energy systems in both existing and new buildings. The main goal of this study is to develop novel models for optimizing the integration of renewable energy (RE) technologies in existing and new buildings. To accomplish this goal, the research study developed three novel models for optimizing: (1) integration of RE systems in existing buildings to minimize their required total upgrade costs to satisfy an owner-specified target reduction in energy consumption; (2) preliminary design of new buildings to maximize their harvested RE and minimize their construction cost by identifying optimal building dimensions, orientation, window-to-wall ratio, and site layout; and (3) schematic design of new buildings with integrated RE technologies to maximize their generation of renewable energy and savings-to-investment ratio while minimizing their cost. The performance of the developed three optimization models was analyzed using real-life case studies and application examples. The results of this analysis illustrated the novel and original contributions of the three developed models in searching for and identifying optimal building designs and integration of onsite renewable energy systems during the upgrade of existing buildings as well as the preliminary and schematic designs of new buildings. These original and unique capabilities of the developed models are expected to support designers in optimizing the integration of cost-effective renewable energy systems in both existing buildings and new buildings."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Optimizing the integration of renewable energy systems in buildings"]}]}],"canonical_facts":{"dc:contributor":["El-Rayes , Khaled","El-Gohary , Nora","Anthony, Kathryn","Golparvar-Fard, Mani"],"dc:creator":["Hassan, Ahmed Adel"],"dc:date":["2023-05","2023-04-19"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","The student, Ahmed Hassan, accepted the attached license on 2023-04-17 at 23:53.","The student, Ahmed Hassan, submitted this Dissertation for approval on 2023-04-18 at 00:03.","This Dissertation was approved for publication on 2023-04-19 at 13:21.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19025 on 2023-09-01 at 17:08:52","The Energy Information Administration (EIA) reported in 2021 that the United States is the second largest producer of carbon dioxide (CO2) emissions worldwide. To minimize these CO2 emissions and their negative environmental impacts, there is an increasing demand to integrate renewable energy systems in private and public buildings. For example, federal and state governments have recently enacted several regulations and incentive programs to promote the use of renewable energy systems in existing and new buildings. This highlights the pressing need for designers to search for and identify optimal designs for the integration of cost-effective renewable energy systems in both existing and new buildings. The main goal of this study is to develop novel models for optimizing the integration of renewable energy (RE) technologies in existing and new buildings. To accomplish this goal, the research study developed three novel models for optimizing: (1) integration of RE systems in existing buildings to minimize their required total upgrade costs to satisfy an owner-specified target reduction in energy consumption; (2) preliminary design of new buildings to maximize their harvested RE and minimize their construction cost by identifying optimal building dimensions, orientation, window-to-wall ratio, and site layout; and (3) schematic design of new buildings with integrated RE technologies to maximize their generation of renewable energy and savings-to-investment ratio while minimizing their cost. The performance of the developed three optimization models was analyzed using real-life case studies and application examples. The results of this analysis illustrated the novel and original contributions of the three developed models in searching for and identifying optimal building designs and integration of onsite renewable energy systems during the upgrade of existing buildings as well as the preliminary and schematic designs of new buildings. These original and unique capabilities of the developed models are expected to support designers in optimizing the integration of cost-effective renewable energy systems in both existing buildings and new buildings."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/120281"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Ahmed Hassan"],"dc:subject":["Renewable Energy","New Buildings","Building Upgrades","Design","Optimization","Solar Energy","Bipv","Genetic Algorithm","Wind"],"dc:title":["Optimizing the integration of renewable energy systems in buildings"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:57Z"}