{"id":{"repo_id":"regina","oai_identifier":"oai:uregina.scholaris.ca:10294/15539"},"canonical_url":"https://search.dev.ndltd.org/etd/regina/oai:uregina.scholaris.ca:10294/15539","repository":{"repo_id":"regina","name":"University of Regina","base_url":"https://uregina.scholaris.ca/server/oai/request"},"display":{"title":"Forecasting waste volume and identifying barriers of Canadian photovoltaic waste management","abstract":"The worldwide exponential upsurge of photovoltaic (PV) installations and the subsequent heights of PV waste is a swelling apprehension. The objectives of this study are to forecast the photovoltaic waste volume and to analyze the critical barriers for the photovoltaic waste management in Canada. In the first section, the solar waste volume forecasting was done using linear regression, 2nd order polynomial regression, and power regression models. In the second section, the barriers to photovoltaic solar waste management were identified through literature review and analyzed by formulating a framework from integrating Rough Analytical Hierarchy Process (RAHP), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods. The findings of the thesis show that for early loss the PV waste volume will be as high as 270,000 MT and as low as 180,000 MT and for regular loss the PV waste volume will be as high as 180,000 MT and as low as 160,000 MT for the year of 2045. The result of the barrier analysis shows that a complex causal relationship exists among the barriers with “Insufficient Generation of PV Waste”, and “Waste Collection Centre” are the top two crucial barriers with highest driving power and causal effect on others. This thesis is expected to contribute to the concerned government agencies to assess the upcoming volume of PV waste and then evaluate the relationship among the barriers to PV waste management for establishing a sustainable and resilient PV waste management plan for Canada.","abstract_html":"The worldwide exponential upsurge of photovoltaic (PV) installations and the subsequent heights of PV waste is a swelling apprehension. The objectives of this study are to forecast the photovoltaic waste volume and to analyze the critical barriers for the photovoltaic waste management in Canada. In the first section, the solar waste volume forecasting was done using linear regression, 2nd order polynomial regression, and power regression models. In the second section, the barriers to photovoltaic solar waste management were identified through literature review and analyzed by formulating a framework from integrating Rough Analytical Hierarchy Process (RAHP), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods. The findings of the thesis show that for early loss the PV waste volume will be as high as 270,000 MT and as low as 180,000 MT and for regular loss the PV waste volume will be as high as 180,000 MT and as low as 160,000 MT for the year of 2045. The result of the barrier analysis shows that a complex causal relationship exists among the barriers with “Insufficient Generation of PV Waste”, and “Waste Collection Centre” are the top two crucial barriers with highest driving power and causal effect on others. This thesis is expected to contribute to the concerned government agencies to assess the upcoming volume of PV waste and then evaluate the relationship among the barriers to PV waste management for establishing a sustainable and resilient PV waste management plan for Canada.","abstract_has_math":false,"creators":["Romel, Monasib Ahmed"],"institution":"Faculty of Graduate Studies and Research, University of Regina","degree_name":"Master of Applied Science (MASc)","degree_level":"Master's","degree_discipline":"Engineering - Industrial Systems","degree_department":null,"school":null,"contributors":[],"advisors":["Kabir, Golam"],"committee_chairs":[],"committee_members":["Ng, Kelvin Tsun Wai","Khondoker, Mohammad"],"year":2022,"date_issued":"2022-09","date_published":"2022-09","updated_at":"2026-07-24T04:03:50Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/5122"],"render_values":[{"text":"https://doi.org/10.82465/5122","href":"https://doi.org/10.82465/5122","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10294/15539","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Kabir, Golam"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Ng, Kelvin Tsun Wai","Khondoker, Mohammad"]},{"key":"dc:creator","label":"Author","values":["Romel, Monasib Ahmed"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2022-12-09T21:01:50Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-12-09T21:01:50Z"]},{"key":"dc:date.issued","label":"Date","values":["2022-09"]},{"key":"dc:publisher","label":"Institution","values":["Faculty of Graduate Studies and Research, University of Regina"]},{"key":"dc:type","label":"Dc Type","values":["master thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering - Industrial Systems"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Faculty of Graduate Studies and Research, University of Regina"]}]},{"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.doi","label":"DOI","values":["https://doi.org/10.82465/5122"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10294/15539"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Industrial Systems Engineering, University of Regina. xi, 148 p."]},{"key":"dc:description.abstract","label":"Abstract","values":["The worldwide exponential upsurge of photovoltaic (PV) installations and the subsequent heights of PV waste is a swelling apprehension. The objectives of this study are to forecast the photovoltaic waste volume and to analyze the critical barriers for the photovoltaic waste management in Canada. In the first section, the solar waste volume forecasting was done using linear regression, 2nd order polynomial regression, and power regression models. In the second section, the barriers to photovoltaic solar waste management were identified through literature review and analyzed by formulating a framework from integrating Rough Analytical Hierarchy Process (RAHP), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods. The findings of the thesis show that for early loss the PV waste volume will be as high as 270,000 MT and as low as 180,000 MT and for regular loss the PV waste volume will be as high as 180,000 MT and as low as 160,000 MT for the year of 2045. The result of the barrier analysis shows that a complex causal relationship exists among the barriers with “Insufficient Generation of PV Waste”, and “Waste Collection Centre” are the top two crucial barriers with highest driving power and causal effect on others. This thesis is expected to contribute to the concerned government agencies to assess the upcoming volume of PV waste and then evaluate the relationship among the barriers to PV waste management for establishing a sustainable and resilient PV waste management plan for Canada."]},{"key":"dc:title","label":"Title","values":["Forecasting waste volume and identifying barriers of Canadian photovoltaic waste management"]}]}],"canonical_facts":{"dc:contributor.advisor":["Kabir, Golam"],"dc:contributor.committeemember":["Ng, Kelvin Tsun Wai","Khondoker, Mohammad"],"dc:creator":["Romel, Monasib Ahmed"],"dc:date.accessioned":["2022-12-09T21:01:50Z"],"dc:date.available":["2022-12-09T21:01:50Z"],"dc:date.issued":["2022-09"],"dc:description":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Industrial Systems Engineering, University of Regina. xi, 148 p."],"dc:description.abstract":["The worldwide exponential upsurge of photovoltaic (PV) installations and the subsequent heights of PV waste is a swelling apprehension. The objectives of this study are to forecast the photovoltaic waste volume and to analyze the critical barriers for the photovoltaic waste management in Canada. In the first section, the solar waste volume forecasting was done using linear regression, 2nd order polynomial regression, and power regression models. In the second section, the barriers to photovoltaic solar waste management were identified through literature review and analyzed by formulating a framework from integrating Rough Analytical Hierarchy Process (RAHP), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods. The findings of the thesis show that for early loss the PV waste volume will be as high as 270,000 MT and as low as 180,000 MT and for regular loss the PV waste volume will be as high as 180,000 MT and as low as 160,000 MT for the year of 2045. The result of the barrier analysis shows that a complex causal relationship exists among the barriers with “Insufficient Generation of PV Waste”, and “Waste Collection Centre” are the top two crucial barriers with highest driving power and causal effect on others. This thesis is expected to contribute to the concerned government agencies to assess the upcoming volume of PV waste and then evaluate the relationship among the barriers to PV waste management for establishing a sustainable and resilient PV waste management plan for Canada."],"dc:identifier.doi":["https://doi.org/10.82465/5122"],"dc:identifier.uri":["https://hdl.handle.net/10294/15539"],"dc:language.iso":["en"],"dc:publisher":["Faculty of Graduate Studies and Research, University of Regina"],"dc:title":["Forecasting waste volume and identifying barriers of Canadian photovoltaic waste management"],"dc:type":["master thesis"],"thesis:degree_discipline":["Engineering - Industrial Systems"],"thesis:degree_level":["Master's"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["Faculty of Graduate Studies and Research, University of Regina"]},"updated_at":"2026-07-24T04:03:50Z"}