{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/1390"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/1390","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Development of a model to investigate the sustainability of Ontario’s future electricity supply through a dual life cycle lens","abstract":"Since the turn of the century, greenhouse gas emissions and their climate related impacts have been studied with increased vigor. A tool that has gained popularity in supporting the reduction of emissions is life cycle assessment (LCA). This thesis proposes looking forward to using life cycle emissions and life cycle costs to determine which technologies can sustainably, both environmentally and economically, be used to meet Ontario’s future electricity demand. A model was developed to calculate the life cycle impacts based on the installed capacity of each generation technology and its respective life cycle factors. The model was validated against historical results and then used to generate several alternative scenarios. A case study was performed, showing how a researcher could use the model to explore shutting down nuclear in Ontario. This model can now be used by researchers to assess life cycle impacts of electricity generation in Ontario and other jurisdictions.","abstract_html":"Since the turn of the century, greenhouse gas emissions and their climate related impacts have been studied with increased vigor. A tool that has gained popularity in supporting the reduction of emissions is life cycle assessment (LCA). This thesis proposes looking forward to using life cycle emissions and life cycle costs to determine which technologies can sustainably, both environmentally and economically, be used to meet Ontario’s future electricity demand. A model was developed to calculate the life cycle impacts based on the installed capacity of each generation technology and its respective life cycle factors. The model was validated against historical results and then used to generate several alternative scenarios. A case study was performed, showing how a researcher could use the model to explore shutting down nuclear in Ontario. This model can now be used by researchers to assess life cycle impacts of electricity generation in Ontario and other jurisdictions.","abstract_has_math":false,"creators":["Vantfoort, Nicholas A."],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Rosen, Marc A.","McKellar, Jennifer"],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-10-01","date_published":"2021-10-01","updated_at":"2026-07-24T05:35:41Z","subjects":["Life cycle assessment","Electricity Forecast","Energy","Emissions","Costs"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/1390","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Rosen, Marc A.","McKellar, Jennifer"]},{"key":"dc:creator","label":"Author","values":["Vantfoort, Nicholas A."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2022-01-17T19:21:25Z","2022-03-29T16:46:30Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-01-17T19:21:25Z","2022-03-29T16:46:30Z"]},{"key":"dc:date.issued","label":"Date","values":["2021-10-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Life cycle assessment","Electricity Forecast","Energy","Emissions","Costs"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/1390"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Since the turn of the century, greenhouse gas emissions and their climate related impacts have been studied with increased vigor. A tool that has gained popularity in supporting the reduction of emissions is life cycle assessment (LCA). This thesis proposes looking forward to using life cycle emissions and life cycle costs to determine which technologies can sustainably, both environmentally and economically, be used to meet Ontario’s future electricity demand. A model was developed to calculate the life cycle impacts based on the installed capacity of each generation technology and its respective life cycle factors. The model was validated against historical results and then used to generate several alternative scenarios. A case study was performed, showing how a researcher could use the model to explore shutting down nuclear in Ontario. This model can now be used by researchers to assess life cycle impacts of electricity generation in Ontario and other jurisdictions."]},{"key":"dc:title","label":"Title","values":["Development of a model to investigate the sustainability of Ontario’s future electricity supply through a dual life cycle lens"]}]}],"canonical_facts":{"dc:contributor.advisor":["Rosen, Marc A.","McKellar, Jennifer"],"dc:creator":["Vantfoort, Nicholas A."],"dc:date.accessioned":["2022-01-17T19:21:25Z","2022-03-29T16:46:30Z"],"dc:date.available":["2022-01-17T19:21:25Z","2022-03-29T16:46:30Z"],"dc:date.issued":["2021-10-01"],"dc:description.abstract":["Since the turn of the century, greenhouse gas emissions and their climate related impacts have been studied with increased vigor. A tool that has gained popularity in supporting the reduction of emissions is life cycle assessment (LCA). This thesis proposes looking forward to using life cycle emissions and life cycle costs to determine which technologies can sustainably, both environmentally and economically, be used to meet Ontario’s future electricity demand. A model was developed to calculate the life cycle impacts based on the installed capacity of each generation technology and its respective life cycle factors. The model was validated against historical results and then used to generate several alternative scenarios. A case study was performed, showing how a researcher could use the model to explore shutting down nuclear in Ontario. 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